---
_id: '64625'
author:
- first_name: Anna
full_name: Fergusson, Anna
last_name: Fergusson
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Yannik
full_name: Fleischer, Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Malia S.
full_name: Puloka, Malia S.
last_name: Puloka
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Maxine
full_name: Pfannkuch, Maxine
last_name: Pfannkuch
- first_name: Stephanie
full_name: Budgett, Stephanie
last_name: Budgett
- first_name: Michelle
full_name: Dalrymple, Michelle
last_name: Dalrymple
citation:
ama: 'Fergusson A, Podworny S, Fleischer Y, et al. Branching out data science education:
Developing task and computational environment design principles for teaching data
science at the high school level through an international research collaboration.
In: Proceedings of the IASE 2025 Satellite Conference - Statistics and Data
Science Education in STEAM. International Association for Statistics Education;
2026. doi:10.52041/iase25.138'
apa: 'Fergusson, A., Podworny, S., Fleischer, Y., Hüsing, S., Puloka, M. S., Biehler,
R., Pfannkuch, M., Budgett, S., & Dalrymple, M. (2026). Branching out data
science education: Developing task and computational environment design principles
for teaching data science at the high school level through an international research
collaboration. Proceedings of the IASE 2025 Satellite Conference - Statistics
and Data Science Education in STEAM. https://doi.org/10.52041/iase25.138'
bibtex: '@inproceedings{Fergusson_Podworny_Fleischer_Hüsing_Puloka_Biehler_Pfannkuch_Budgett_Dalrymple_2026,
title={Branching out data science education: Developing task and computational
environment design principles for teaching data science at the high school level
through an international research collaboration}, DOI={10.52041/iase25.138},
booktitle={Proceedings of the IASE 2025 Satellite Conference - Statistics and
Data Science Education in STEAM}, publisher={International Association for Statistics
Education}, author={Fergusson, Anna and Podworny, Susanne and Fleischer, Yannik
and Hüsing, Sven and Puloka, Malia S. and Biehler, Rolf and Pfannkuch, Maxine
and Budgett, Stephanie and Dalrymple, Michelle}, year={2026} }'
chicago: 'Fergusson, Anna, Susanne Podworny, Yannik Fleischer, Sven Hüsing, Malia
S. Puloka, Rolf Biehler, Maxine Pfannkuch, Stephanie Budgett, and Michelle Dalrymple.
“Branching out Data Science Education: Developing Task and Computational Environment
Design Principles for Teaching Data Science at the High School Level through an
International Research Collaboration.” In Proceedings of the IASE 2025 Satellite
Conference - Statistics and Data Science Education in STEAM. International
Association for Statistics Education, 2026. https://doi.org/10.52041/iase25.138.'
ieee: 'A. Fergusson et al., “Branching out data science education: Developing
task and computational environment design principles for teaching data science
at the high school level through an international research collaboration,” 2026,
doi: 10.52041/iase25.138.'
mla: 'Fergusson, Anna, et al. “Branching out Data Science Education: Developing
Task and Computational Environment Design Principles for Teaching Data Science
at the High School Level through an International Research Collaboration.” Proceedings
of the IASE 2025 Satellite Conference - Statistics and Data Science Education
in STEAM, International Association for Statistics Education, 2026, doi:10.52041/iase25.138.'
short: 'A. Fergusson, S. Podworny, Y. Fleischer, S. Hüsing, M.S. Puloka, R. Biehler,
M. Pfannkuch, S. Budgett, M. Dalrymple, in: Proceedings of the IASE 2025 Satellite
Conference - Statistics and Data Science Education in STEAM, International Association
for Statistics Education, 2026.'
date_created: 2026-02-25T14:57:57Z
date_updated: 2026-02-25T14:58:49Z
department:
- _id: '67'
doi: 10.52041/iase25.138
language:
- iso: eng
publication: Proceedings of the IASE 2025 Satellite Conference - Statistics and Data
Science Education in STEAM
publication_status: published
publisher: International Association for Statistics Education
status: public
title: 'Branching out data science education: Developing task and computational environment
design principles for teaching data science at the high school level through an
international research collaboration'
type: conference
user_id: '58465'
year: '2026'
...
---
_id: '58353'
abstract:
- lang: eng
text: "Abstract\r\n Statistics and machine
learning are critical because they play an essential role in our everyday lives
and the careers we may pursue in the future. It may be beneficial to introduce
machine learning, such as decision trees (DTs), at an early stage of education.
The data-based construction of DTs is an example of a machine learning process,
which can be addressed in mathematics or statistics teaching because of relatively
low prior knowledge requirements. This paper focuses on investigating how sixth-grade
students create and evaluate data-based DTs. The basis is a teaching unit that
aims to lay the foundation for machine learning and enhance students’ understanding
of the process. We investigate students’ processes in detail while they build
DTs with data cards about food items to predict whether a new item is recommendable.
After the teaching unit, an interview study examines students’ strategies for
creating decision trees. The findings contribute to understanding students’ learning
processes and the challenges when working with decision trees."
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Yannik
full_name: Fleischer, Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
citation:
ama: Podworny S, Biehler R, Fleischer Y. Young students’ engagement with data to
create decision trees. ZDM – Mathematics Education. Published online 2025.
doi:10.1007/s11858-024-01649-w
apa: Podworny, S., Biehler, R., & Fleischer, Y. (2025). Young students’ engagement
with data to create decision trees. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01649-w
bibtex: '@article{Podworny_Biehler_Fleischer_2025, title={Young students’ engagement
with data to create decision trees}, DOI={10.1007/s11858-024-01649-w},
journal={ZDM – Mathematics Education}, publisher={Springer Science and Business
Media LLC}, author={Podworny, Susanne and Biehler, Rolf and Fleischer, Yannik},
year={2025} }'
chicago: Podworny, Susanne, Rolf Biehler, and Yannik Fleischer. “Young Students’
Engagement with Data to Create Decision Trees.” ZDM – Mathematics Education,
2025. https://doi.org/10.1007/s11858-024-01649-w.
ieee: 'S. Podworny, R. Biehler, and Y. Fleischer, “Young students’ engagement with
data to create decision trees,” ZDM – Mathematics Education, 2025, doi:
10.1007/s11858-024-01649-w.'
mla: Podworny, Susanne, et al. “Young Students’ Engagement with Data to Create Decision
Trees.” ZDM – Mathematics Education, Springer Science and Business Media
LLC, 2025, doi:10.1007/s11858-024-01649-w.
short: S. Podworny, R. Biehler, Y. Fleischer, ZDM – Mathematics Education (2025).
date_created: 2025-01-24T07:55:53Z
date_updated: 2025-01-24T07:57:00Z
department:
- _id: '363'
doi: 10.1007/s11858-024-01649-w
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s11858-024-01649-w
oa: '1'
publication: ZDM – Mathematics Education
publication_identifier:
issn:
- 1863-9690
- 1863-9704
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Young students’ engagement with data to create decision trees
type: journal_article
user_id: '37888'
year: '2025'
...
---
_id: '63803'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
citation:
ama: 'Hüsing S, Podworny S. Empowering Students to Gain Insights within Data Exploration
Projects in the Classroom - Using, Modifying, and Creating Data Moves through
a Scaffolded Use of Digital Tools. In: Symposium on Integrating AI and Data
Science into School Education across Disciplines. ; 2025.'
apa: Hüsing, S., & Podworny, S. (2025). Empowering Students to Gain Insights
within Data Exploration Projects in the Classroom - Using, Modifying, and Creating
Data Moves through a Scaffolded Use of Digital Tools. Symposium on Integrating
AI and Data Science into School Education across Disciplines.
bibtex: '@inproceedings{Hüsing_Podworny_2025, title={Empowering Students to Gain
Insights within Data Exploration Projects in the Classroom - Using, Modifying,
and Creating Data Moves through a Scaffolded Use of Digital Tools}, booktitle={Symposium
on integrating AI and data science into school education across disciplines},
author={Hüsing, Sven and Podworny, Susanne}, year={2025} }'
chicago: Hüsing, Sven, and Susanne Podworny. “Empowering Students to Gain Insights
within Data Exploration Projects in the Classroom - Using, Modifying, and Creating
Data Moves through a Scaffolded Use of Digital Tools.” In Symposium on Integrating
AI and Data Science into School Education across Disciplines, 2025.
ieee: S. Hüsing and S. Podworny, “Empowering Students to Gain Insights within Data
Exploration Projects in the Classroom - Using, Modifying, and Creating Data Moves
through a Scaffolded Use of Digital Tools,” 2025.
mla: Hüsing, Sven, and Susanne Podworny. “Empowering Students to Gain Insights within
Data Exploration Projects in the Classroom - Using, Modifying, and Creating Data
Moves through a Scaffolded Use of Digital Tools.” Symposium on Integrating
AI and Data Science into School Education across Disciplines, 2025.
short: 'S. Hüsing, S. Podworny, in: Symposium on Integrating AI and Data Science
into School Education across Disciplines, 2025.'
date_created: 2026-01-29T10:03:06Z
date_updated: 2026-01-29T10:09:10Z
department:
- _id: '67'
language:
- iso: eng
publication: Symposium on integrating AI and data science into school education across
disciplines
status: public
title: Empowering Students to Gain Insights within Data Exploration Projects in the
Classroom - Using, Modifying, and Creating Data Moves through a Scaffolded Use of
Digital Tools
type: conference
user_id: '58465'
year: '2025'
...
---
_id: '60495'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Yannik
full_name: Fleischer, Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: Podworny S, Fleischer Y, Biehler R. Explorative Datenanalyse in der Schule
– Analyse der Mediennutzung von Jugendlichen mit den YOU‑PB Daten. Stochastik
in der Schule. 2025;45(2):9-16.
apa: Podworny, S., Fleischer, Y., & Biehler, R. (2025). Explorative Datenanalyse
in der Schule – Analyse der Mediennutzung von Jugendlichen mit den YOU‑PB Daten.
Stochastik in der Schule, 45(2), 9–16.
bibtex: '@article{Podworny_Fleischer_Biehler_2025, title={Explorative Datenanalyse
in der Schule – Analyse der Mediennutzung von Jugendlichen mit den YOU‑PB Daten},
volume={45}, number={2}, journal={Stochastik in der Schule}, author={Podworny,
Susanne and Fleischer, Yannik and Biehler, Rolf}, year={2025}, pages={9–16} }'
chicago: 'Podworny, Susanne, Yannik Fleischer, and Rolf Biehler. “Explorative Datenanalyse
in der Schule – Analyse der Mediennutzung von Jugendlichen mit den YOU‑PB Daten.”
Stochastik in der Schule 45, no. 2 (2025): 9–16.'
ieee: S. Podworny, Y. Fleischer, and R. Biehler, “Explorative Datenanalyse in der
Schule – Analyse der Mediennutzung von Jugendlichen mit den YOU‑PB Daten,” Stochastik
in der Schule, vol. 45, no. 2, pp. 9–16, 2025.
mla: Podworny, Susanne, et al. “Explorative Datenanalyse in der Schule – Analyse
der Mediennutzung von Jugendlichen mit den YOU‑PB Daten.” Stochastik in der
Schule, vol. 45, no. 2, 2025, pp. 9–16.
short: S. Podworny, Y. Fleischer, R. Biehler, Stochastik in der Schule 45 (2025)
9–16.
date_created: 2025-07-02T09:45:14Z
date_updated: 2025-07-02T09:45:22Z
department:
- _id: '363'
intvolume: ' 45'
issue: '2'
language:
- iso: ger
page: 9-16
publication: Stochastik in der Schule
publication_status: published
status: public
title: Explorative Datenanalyse in der Schule – Analyse der Mediennutzung von Jugendlichen
mit den YOU‑PB Daten
type: journal_article
user_id: '37888'
volume: 45
year: '2025'
...
---
_id: '55667'
abstract:
- lang: eng
text: This study investigates how 11- to 12-year-old students construct
data-based decision trees using data cards for classification purposes. We examine
the students' heuristics and reasoning during this process. The research is based
on an eight-week teaching unit during which students labeled data, built decision
trees, and assessed them using test data. They learned to manually construct decision
trees to classify food items as recommendable or not. They utilized data cards
with a heuristic that is a simplified form of a machine learning algorithm. We
report on evidence that this topic is teachable to middle school students, along
with insights for refining our teaching approach and broader implications for
teaching machine learning at the school level.
article_number: '3'
author:
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: Fleischer FY, Podworny S, Biehler R. Teaching and Learning to Construct Data-Based
Decision Trees Using Data Cards as the First Introduction to Machine Learning
in Middle School. Statistics Education Research Journal. 2024;23(1). doi:10.52041/serj.v23i1.450
apa: Fleischer, F. Y., Podworny, S., & Biehler, R. (2024). Teaching and Learning
to Construct Data-Based Decision Trees Using Data Cards as the First Introduction
to Machine Learning in Middle School. Statistics Education Research Journal,
23(1), Article 3. https://doi.org/10.52041/serj.v23i1.450
bibtex: '@article{Fleischer_Podworny_Biehler_2024, title={Teaching and Learning
to Construct Data-Based Decision Trees Using Data Cards as the First Introduction
to Machine Learning in Middle School}, volume={23}, DOI={10.52041/serj.v23i1.450},
number={13}, journal={Statistics Education Research Journal}, publisher={International
Association for Statistical Education}, author={Fleischer, Franz Yannik and Podworny,
Susanne and Biehler, Rolf}, year={2024} }'
chicago: Fleischer, Franz Yannik, Susanne Podworny, and Rolf Biehler. “Teaching
and Learning to Construct Data-Based Decision Trees Using Data Cards as the First
Introduction to Machine Learning in Middle School.” Statistics Education Research
Journal 23, no. 1 (2024). https://doi.org/10.52041/serj.v23i1.450.
ieee: 'F. Y. Fleischer, S. Podworny, and R. Biehler, “Teaching and Learning to Construct
Data-Based Decision Trees Using Data Cards as the First Introduction to Machine
Learning in Middle School,” Statistics Education Research Journal, vol.
23, no. 1, Art. no. 3, 2024, doi: 10.52041/serj.v23i1.450.'
mla: Fleischer, Franz Yannik, et al. “Teaching and Learning to Construct Data-Based
Decision Trees Using Data Cards as the First Introduction to Machine Learning
in Middle School.” Statistics Education Research Journal, vol. 23, no.
1, 3, International Association for Statistical Education, 2024, doi:10.52041/serj.v23i1.450.
short: F.Y. Fleischer, S. Podworny, R. Biehler, Statistics Education Research Journal
23 (2024).
date_created: 2024-08-21T09:59:33Z
date_updated: 2024-08-21T10:02:38Z
department:
- _id: '363'
doi: 10.52041/serj.v23i1.450
intvolume: ' 23'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.52041/serj.v23i1.450
oa: '1'
publication: Statistics Education Research Journal
publication_identifier:
issn:
- 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Teaching and Learning to Construct Data-Based Decision Trees Using Data Cards
as the First Introduction to Machine Learning in Middle School
type: journal_article
user_id: '37888'
volume: 23
year: '2024'
...
---
_id: '59467'
author:
- first_name: Katherine M
full_name: Miller, Katherine M
last_name: Miller
- first_name: Joseph L
full_name: Polman, Joseph L
last_name: Polman
- first_name: Susan A
full_name: Yoon, Susan A
last_name: Yoon
- first_name: Jooeun
full_name: Shim, Jooeun
last_name: Shim
- first_name: Vivian Y
full_name: Leung, Vivian Y
last_name: Leung
- first_name: Yen
full_name: Nguyen, Yen
last_name: Nguyen
- first_name: Andee
full_name: Rubin, Andee
last_name: Rubin
- first_name: Traci
full_name: Higgins, Traci
last_name: Higgins
- first_name: Jessica M
full_name: Karch, Jessica M
last_name: Karch
- first_name: James KL
full_name: Hammerman, James KL
last_name: Hammerman
- first_name: Camillia
full_name: Matuk, Camillia
last_name: Matuk
- first_name: Kayla
full_name: DesPortes, Kayla
last_name: DesPortes
- first_name: Anna
full_name: Amato, Anna
last_name: Amato
- first_name: Suzanne
full_name: Dikker, Suzanne
last_name: Dikker
- first_name: Xavier
full_name: Ochoa, Xavier
last_name: Ochoa
- first_name: Esteban
full_name: Romero, Esteban
last_name: Romero
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Yannik
full_name: Fleischer, Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Justice T.
full_name: Walker, Justice T.
last_name: Walker
- first_name: Amanda
full_name: Barany, Amanda
last_name: Barany
- first_name: Alex
full_name: Acquah, Alex
last_name: Acquah
- first_name: Andi
full_name: Scarola, Andi
last_name: Scarola
- first_name: Sayed
full_name: Reza, Sayed
last_name: Reza
- first_name: Trang C.
full_name: Tran, Trang C.
last_name: Tran
- first_name: Ralph
full_name: Vacca, Ralph
last_name: Vacca
- first_name: Megan
full_name: Silander, Megan
last_name: Silander
- first_name: Peter J.
full_name: Woods, Peter J.
last_name: Woods
- first_name: Cassia
full_name: Fernandez, Cassia
last_name: Fernandez
- first_name: Adelmo
full_name: Eloy, Adelmo
last_name: Eloy
- first_name: Paulo
full_name: Blikstein, Paulo
last_name: Blikstein
- first_name: Roseli
full_name: de Deus Lopes, Roseli
last_name: de Deus Lopes
- first_name: Josh
full_name: Radinsky, Josh
last_name: Radinsky
- first_name: Iris
full_name: Tabak, Iris
last_name: Tabak
- first_name: Victor R.
full_name: Lee, Victor R.
last_name: Lee
- first_name: Dorottya
full_name: Demszky, Dorottya
last_name: Demszky
- first_name: Sarah
full_name: Levine, Sarah
last_name: Levine
- first_name: Josephine
full_name: Louie, Josephine
last_name: Louie
citation:
ama: 'Miller KM, Polman JL, Yoon SA, et al. Data and Social Worlds: How Data Science
Education Supports Civic Participation and Social Discourse. In: Lindgren R, Asino
TI, Kyza EA, Looi CK, Keifert DT, Suárez E, eds. Proceedings of the 18th International
Conference of the Learning Sciences-ICLS 2024. International Society of the
Learning Sciences; 2024:1863-1870.'
apa: 'Miller, K. M., Polman, J. L., Yoon, S. A., Shim, J., Leung, V. Y., Nguyen,
Y., Rubin, A., Higgins, T., Karch, J. M., Hammerman, J. K., Matuk, C., DesPortes,
K., Amato, A., Dikker, S., Ochoa, X., Romero, E., Podworny, S., Fleischer, Y.,
Biehler, R., … Louie, J. (2024). Data and Social Worlds: How Data Science Education
Supports Civic Participation and Social Discourse. In R. Lindgren, T. I. Asino,
E. A. Kyza, C. K. Looi, D. T. Keifert, & E. Suárez (Eds.), Proceedings
of the 18th International Conference of the Learning Sciences-ICLS 2024 (pp.
1863–1870). International Society of the Learning Sciences.'
bibtex: '@inproceedings{Miller_Polman_Yoon_Shim_Leung_Nguyen_Rubin_Higgins_Karch_Hammerman_et
al._2024, title={Data and Social Worlds: How Data Science Education Supports Civic
Participation and Social Discourse}, booktitle={Proceedings of the 18th International
Conference of the Learning Sciences-ICLS 2024}, publisher={International Society
of the Learning Sciences}, author={Miller, Katherine M and Polman, Joseph L and
Yoon, Susan A and Shim, Jooeun and Leung, Vivian Y and Nguyen, Yen and Rubin,
Andee and Higgins, Traci and Karch, Jessica M and Hammerman, James KL and et al.},
editor={Lindgren, R. and Asino, T. I. and Kyza, E. A. and Looi, C. K. and Keifert,
D. T. and Suárez, E.}, year={2024}, pages={1863–1870} }'
chicago: 'Miller, Katherine M, Joseph L Polman, Susan A Yoon, Jooeun Shim, Vivian
Y Leung, Yen Nguyen, Andee Rubin, et al. “Data and Social Worlds: How Data Science
Education Supports Civic Participation and Social Discourse.” In Proceedings
of the 18th International Conference of the Learning Sciences-ICLS 2024, edited
by R. Lindgren, T. I. Asino, E. A. Kyza, C. K. Looi, D. T. Keifert, and E. Suárez,
1863–70. International Society of the Learning Sciences, 2024.'
ieee: 'K. M. Miller et al., “Data and Social Worlds: How Data Science Education
Supports Civic Participation and Social Discourse,” in Proceedings of the 18th
International Conference of the Learning Sciences-ICLS 2024, 2024, pp. 1863–1870.'
mla: 'Miller, Katherine M., et al. “Data and Social Worlds: How Data Science Education
Supports Civic Participation and Social Discourse.” Proceedings of the 18th
International Conference of the Learning Sciences-ICLS 2024, edited by R.
Lindgren et al., International Society of the Learning Sciences, 2024, pp. 1863–70.'
short: 'K.M. Miller, J.L. Polman, S.A. Yoon, J. Shim, V.Y. Leung, Y. Nguyen, A.
Rubin, T. Higgins, J.M. Karch, J.K. Hammerman, C. Matuk, K. DesPortes, A. Amato,
S. Dikker, X. Ochoa, E. Romero, S. Podworny, Y. Fleischer, R. Biehler, J.T. Walker,
A. Barany, A. Acquah, A. Scarola, S. Reza, T.C. Tran, R. Vacca, M. Silander, P.J.
Woods, C. Fernandez, A. Eloy, P. Blikstein, R. de Deus Lopes, J. Radinsky, I.
Tabak, V.R. Lee, D. Demszky, S. Levine, J. Louie, in: R. Lindgren, T.I. Asino,
E.A. Kyza, C.K. Looi, D.T. Keifert, E. Suárez (Eds.), Proceedings of the 18th
International Conference of the Learning Sciences-ICLS 2024, International Society
of the Learning Sciences, 2024, pp. 1863–1870.'
date_created: 2025-04-10T07:38:59Z
date_updated: 2025-04-10T09:12:03Z
ddc:
- '510'
department:
- _id: '363'
editor:
- first_name: R.
full_name: Lindgren, R.
last_name: Lindgren
- first_name: T. I.
full_name: Asino, T. I.
last_name: Asino
- first_name: E. A.
full_name: Kyza, E. A.
last_name: Kyza
- first_name: C. K.
full_name: Looi, C. K.
last_name: Looi
- first_name: D. T.
full_name: Keifert, D. T.
last_name: Keifert
- first_name: E.
full_name: Suárez, E.
last_name: Suárez
file:
- access_level: closed
content_type: application/pdf
creator: krueter
date_created: 2025-04-10T07:44:19Z
date_updated: 2025-04-10T07:44:19Z
file_id: '59470'
file_name: ICLS2024_1863-1870.pdf
file_size: 343448
relation: main_file
success: 1
file_date_updated: 2025-04-10T07:44:19Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://repository.isls.org/handle/1/10830
oa: '1'
page: 1863-1870
publication: Proceedings of the 18th International Conference of the Learning Sciences-ICLS
2024
publisher: International Society of the Learning Sciences
status: public
title: 'Data and Social Worlds: How Data Science Education Supports Civic Participation
and Social Discourse'
type: conference
user_id: '37888'
year: '2024'
...
---
_id: '48100'
author:
- first_name: Michelle
full_name: Wilkerson, Michelle
last_name: Wilkerson
- first_name: Dani
full_name: Ben-Zvi, Dani
last_name: Ben-Zvi
- first_name: Michal
full_name: Dvir, Michal
last_name: Dvir
- first_name: Camilla
full_name: Matuk, Camilla
last_name: Matuk
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
- first_name: Amy
full_name: Stephens, Amy
last_name: Stephens
- first_name: Lucia
full_name: Zapata-Cardona, Lucia
last_name: Zapata-Cardona
citation:
ama: 'Wilkerson M, Ben-Zvi D, Dvir M, et al. K-12 Data Science Education: Outcomes
of a National Workshop; International Perspectives; and Next Steps for the Learning
Sciences. In: Slotta JD, Charles ES, eds. General Proceedings of the ISLS Annual
Meeting: Building Knowledge and Sustaining Our Community. ISLS; 2023:76-79.'
apa: 'Wilkerson, M., Ben-Zvi, D., Dvir, M., Matuk, C., Podworny, S., Stephens, A.,
& Zapata-Cardona, L. (2023). K-12 Data Science Education: Outcomes of a National
Workshop; International Perspectives; and Next Steps for the Learning Sciences.
In J. D. Slotta & E. S. Charles (Eds.), General Proceedings of the ISLS
Annual Meeting: Building Knowledge and Sustaining our Community (pp. 76–79).
ISLS.'
bibtex: '@inproceedings{Wilkerson_Ben-Zvi_Dvir_Matuk_Podworny_Stephens_Zapata-Cardona_2023,
place={Montreal, Canada}, title={K-12 Data Science Education: Outcomes of a National
Workshop; International Perspectives; and Next Steps for the Learning Sciences},
booktitle={General Proceedings of the ISLS Annual Meeting: Building Knowledge
and Sustaining our Community}, publisher={ISLS}, author={Wilkerson, Michelle and
Ben-Zvi, Dani and Dvir, Michal and Matuk, Camilla and Podworny, Susanne and Stephens,
Amy and Zapata-Cardona, Lucia}, editor={Slotta, J.D. and Charles, E.S.}, year={2023},
pages={76–79} }'
chicago: 'Wilkerson, Michelle, Dani Ben-Zvi, Michal Dvir, Camilla Matuk, Susanne
Podworny, Amy Stephens, and Lucia Zapata-Cardona. “K-12 Data Science Education:
Outcomes of a National Workshop; International Perspectives; and Next Steps for
the Learning Sciences.” In General Proceedings of the ISLS Annual Meeting:
Building Knowledge and Sustaining Our Community, edited by J.D. Slotta and
E.S. Charles, 76–79. Montreal, Canada: ISLS, 2023.'
ieee: 'M. Wilkerson et al., “K-12 Data Science Education: Outcomes of a National
Workshop; International Perspectives; and Next Steps for the Learning Sciences,”
in General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining
our Community, 2023, pp. 76–79.'
mla: 'Wilkerson, Michelle, et al. “K-12 Data Science Education: Outcomes of a National
Workshop; International Perspectives; and Next Steps for the Learning Sciences.”
General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining
Our Community, edited by J.D. Slotta and E.S. Charles, ISLS, 2023, pp. 76–79.'
short: 'M. Wilkerson, D. Ben-Zvi, M. Dvir, C. Matuk, S. Podworny, A. Stephens, L.
Zapata-Cardona, in: J.D. Slotta, E.S. Charles (Eds.), General Proceedings of the
ISLS Annual Meeting: Building Knowledge and Sustaining Our Community, ISLS, Montreal,
Canada, 2023, pp. 76–79.'
date_created: 2023-10-17T05:46:51Z
date_updated: 2023-10-17T06:05:22Z
editor:
- first_name: J.D.
full_name: Slotta, J.D.
last_name: Slotta
- first_name: E.S.
full_name: Charles, E.S.
last_name: Charles
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doc-04-74-docs.googleusercontent.com/docs/securesc/cs6dja9n71n23dcr47cc0h46ailqf84e/v9gcvi3bsh1iqjp1n3vamanlqdfsrneu/1696845450000/10280060758242859305/07447188167945041155/1zbQRmsHckdpK5fbw0lG8MtZduwI7lfxh?e=download&ax=AA75yW513S5rLT1FW4M13UKFvmuo4BJS2k2uIDq5wRfYBSznAtFddPE-wYG9m-IvBaNZypuvFc8AvCqh6XMVKfupYvB1x0qpBc8pWC0QkYEo9xrFLzivFlQ5cOfX92Cw3H4bTQFZVX0w6vj5HCTJC-9YTIhL_xy0KKudCARtXzumhQqM7AN_rS7dT0_M2oOL9pRl08IQEvi__G6PEQK_uRZmAT4FKQC6vEzNfOiTPJ450TdS0JX0opDpV28wI8qFqrYrQul4Jebllj0pzBJwvQl4tv3yKnwroMZ8x1tB29rAKgcwd7CKoGttQMc8Rixr7HPwXUgcGK-PSRBAuyXDcQg5k3xRHoyqG2gbDf3tC-NU0Py0Qb8rKvA28Mv8EXyReN93qqom9gMc3cEzgvFM-gQaly2dj-sGZORNdYXkAWebZeciqDaxMEQCEdv9yvhQtwiwbfuo_83wc9zGJnJX819ZaI5Ywl_zbqC-5aE0WB285yh0B6CV4gFcbETq28cvZ19cgT7K_ejUfW6mmTZOiosL0gJyaQCA4uiZCE4lgAkNdD6jZu-_oJ2dwRswkmKCGVH4cEyHHNRBt1enKmEM_wscXmPCYnxCQ7SqkWVfVnfPgrsT1O-h4XoGDYyvi07olL20ODYS_lIgBh6YacnwQTAi2Z_Z9lA_HKL1H5NUiK8PGqiDtdmDZfIFtIPEmxC2cDvIbfeKVnz1E3GSUHsh4dgtXIO33lEE9_e_y48v7e89F4MufS4GH3NEcrTUQIMnLf2t-2tYP-HE8fHg_GYHfD3ZHf6tU4xFDtGgzHom1Yom8oqeZF4_O0ympPkFY7MwkEQo7HLLZhtXX8Db8vOsesuK1DXjCeyuEM6jJ6xFI8LYwlvH1KXqP-UzdXw1yPpFZoW3T7wks0Tl5j9juZdnRjGCtRhcPVA7pwbv9XQ&uuid=4ecff24a-a3a6-400c-936b-63d26c554c0d&authuser=0&nonce=7bgkfu2kh4rdo&user=07447188167945041155&hash=na9vnphmqv4copl57fmakbn8hfodrtbg
oa: '1'
page: 76-79
place: Montreal, Canada
publication: 'General Proceedings of the ISLS Annual Meeting: Building Knowledge and
Sustaining our Community'
publication_status: published
publisher: ISLS
status: public
title: 'K-12 Data Science Education: Outcomes of a National Workshop; International
Perspectives; and Next Steps for the Learning Sciences'
type: conference
user_id: '30619'
year: '2023'
...
---
_id: '48101'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
citation:
ama: 'Podworny S, Frischemeier D. Minisymposium Data Science. In: IDMI-Primar Goethe-Universität
Frankfurt ., ed. Beiträge Zum Mathematikunterricht 2022: 56. Jahrestagung Der
Gesellschaft Für Didaktik Der Mathematik Vom 29.08.2022 Bis 02.09.2022 in Frankfurt
Am Main. WTM-Verlag; 2023.'
apa: 'Podworny, S., & Frischemeier, D. (2023). Minisymposium Data Science.
In . IDMI-Primar Goethe-Universität Frankfurt (Ed.), Beiträge zum Mathematikunterricht
2022: 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik vom 29.08.2022
bis 02.09.2022 in Frankfurt am Main. WTM-Verlag.'
bibtex: '@inproceedings{Podworny_Frischemeier_2023, place={Münster}, title={ Minisymposium
Data Science}, booktitle={Beiträge zum Mathematikunterricht 2022: 56. Jahrestagung
der Gesellschaft für Didaktik der Mathematik vom 29.08.2022 bis 02.09.2022 in
Frankfurt am Main}, publisher={WTM-Verlag}, author={Podworny, Susanne and Frischemeier,
Daniel}, editor={IDMI-Primar Goethe-Universität Frankfurt, .}, year={2023} }'
chicago: 'Podworny, Susanne, and Daniel Frischemeier. “ Minisymposium Data Science.”
In Beiträge Zum Mathematikunterricht 2022: 56. Jahrestagung Der Gesellschaft
Für Didaktik Der Mathematik Vom 29.08.2022 Bis 02.09.2022 in Frankfurt Am Main,
edited by . IDMI-Primar Goethe-Universität Frankfurt. Münster: WTM-Verlag, 2023.'
ieee: 'S. Podworny and D. Frischemeier, “ Minisymposium Data Science,” in Beiträge
zum Mathematikunterricht 2022: 56. Jahrestagung der Gesellschaft für Didaktik
der Mathematik vom 29.08.2022 bis 02.09.2022 in Frankfurt am Main, 2023.'
mla: 'Podworny, Susanne, and Daniel Frischemeier. “ Minisymposium Data Science.”
Beiträge Zum Mathematikunterricht 2022: 56. Jahrestagung Der Gesellschaft Für
Didaktik Der Mathematik Vom 29.08.2022 Bis 02.09.2022 in Frankfurt Am Main,
edited by . IDMI-Primar Goethe-Universität Frankfurt, WTM-Verlag, 2023.'
short: 'S. Podworny, D. Frischemeier, in: . IDMI-Primar Goethe-Universität Frankfurt
(Ed.), Beiträge Zum Mathematikunterricht 2022: 56. Jahrestagung Der Gesellschaft
Für Didaktik Der Mathematik Vom 29.08.2022 Bis 02.09.2022 in Frankfurt Am Main,
WTM-Verlag, Münster, 2023.'
date_created: 2023-10-17T05:49:09Z
date_updated: 2023-10-17T06:02:29Z
editor:
- first_name: .
full_name: IDMI-Primar Goethe-Universität Frankfurt, .
last_name: IDMI-Primar Goethe-Universität Frankfurt
language:
- iso: eng
place: Münster
publication: 'Beiträge zum Mathematikunterricht 2022: 56. Jahrestagung der Gesellschaft
für Didaktik der Mathematik vom 29.08.2022 bis 02.09.2022 in Frankfurt am Main'
publisher: WTM-Verlag
status: public
title: ' Minisymposium Data Science'
type: conference
user_id: '30619'
year: '2023'
...
---
_id: '48106'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
citation:
ama: 'Podworny S, Fleischer Y. An approach to teaching data science in middle school.
In: Jankvist UT, Elicer R, Clark-Wilson A, Weigand H-G, Thomson M, eds. Proceedings
of the 15th International Conference on Technology in Mathematics Teaching (ICTMT
15). Danish School of Education; 2022:308-315.'
apa: Podworny, S., & Fleischer, Y. (2022). An approach to teaching data science
in middle school. In U. T. Jankvist, R. Elicer, A. Clark-Wilson, H.-G. Weigand,
& M. Thomson (Eds.), Proceedings of the 15th international conference on
technology in mathematics teaching (ICTMT 15) (pp. 308–315). Danish School
of Education.
bibtex: '@inbook{Podworny_Fleischer_2022, place={Aarhus, Denmark}, title={ An approach
to teaching data science in middle school}, booktitle={Proceedings of the 15th
international conference on technology in mathematics teaching (ICTMT 15)}, publisher={Danish
School of Education}, author={Podworny, Susanne and Fleischer, Yannik}, editor={Jankvist,
U.T. and Elicer, R. and Clark-Wilson, A and Weigand, Hans-Georg and Thomson, M},
year={2022}, pages={308–315} }'
chicago: 'Podworny, Susanne, and Yannik Fleischer. “ An Approach to Teaching Data
Science in Middle School.” In Proceedings of the 15th International Conference
on Technology in Mathematics Teaching (ICTMT 15), edited by U.T. Jankvist,
R. Elicer, A Clark-Wilson, Hans-Georg Weigand, and M Thomson, 308–15. Aarhus,
Denmark: Danish School of Education, 2022.'
ieee: 'S. Podworny and Y. Fleischer, “ An approach to teaching data science in middle
school,” in Proceedings of the 15th international conference on technology
in mathematics teaching (ICTMT 15), U. T. Jankvist, R. Elicer, A. Clark-Wilson,
H.-G. Weigand, and M. Thomson, Eds. Aarhus, Denmark: Danish School of Education,
2022, pp. 308–315.'
mla: Podworny, Susanne, and Yannik Fleischer. “ An Approach to Teaching Data Science
in Middle School.” Proceedings of the 15th International Conference on Technology
in Mathematics Teaching (ICTMT 15), edited by U.T. Jankvist et al., Danish
School of Education, 2022, pp. 308–15.
short: 'S. Podworny, Y. Fleischer, in: U.T. Jankvist, R. Elicer, A. Clark-Wilson,
H.-G. Weigand, M. Thomson (Eds.), Proceedings of the 15th International Conference
on Technology in Mathematics Teaching (ICTMT 15), Danish School of Education,
Aarhus, Denmark, 2022, pp. 308–315.'
date_created: 2023-10-17T05:56:27Z
date_updated: 2023-10-17T06:02:07Z
editor:
- first_name: U.T.
full_name: Jankvist, U.T.
last_name: Jankvist
- first_name: R.
full_name: Elicer, R.
last_name: Elicer
- first_name: A
full_name: Clark-Wilson, A
last_name: Clark-Wilson
- first_name: Hans-Georg
full_name: Weigand, Hans-Georg
last_name: Weigand
- first_name: M
full_name: Thomson, M
last_name: Thomson
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.researchgate.net/profile/Uffe-Jankvist/publication/360642293_Proceedings_of_the_15th_international_conference_on_technology_in_mathematics_teaching_ICTMT_15_Making_and_strengthening_connections_and_connectivity_for_teaching_mathematics_with_technology/links/62834d677da61013d7484dd1/Proceedings-of-the-15th-international-conference-on-technology-in-mathematics-teaching-ICTMT-15-Making-and-strengthening-connections-and-connectivity-for-teaching-mathematics-with-technology.pdf?_sg%5B0%5D=itkqA0sJ1aDXNhphX066gpFKtdciSrtAf08s0VltEyKbOm4daEXxg_LptmTMykWdssSwXaPS505azftpwwm4HA.xx74Vs0uZfZ5VOzTRQ65p8n6FZ1LjtA3E6kFSakag33Zc5mEsQmx9CBWB_ZwcmjrORCJh_PtNdW_yV3Tt4mRGA&_sg%5B1%5D=p_EcDDn8oVo6b2i5grD8tAmI83aUCWNQ4bhJdxeMcmC8uFB2py5zs8V7nB-8d05J0J_-9xRjC4gwQgFJNWPmTaEXZJ-Ma4wdbu69H5Lmgvdv.xx74Vs0uZfZ5VOzTRQ65p8n6FZ1LjtA3E6kFSakag33Zc5mEsQmx9CBWB_ZwcmjrORCJh_PtNdW_yV3Tt4mRGA&_iepl=
oa: '1'
page: 308-315
place: Aarhus, Denmark
publication: Proceedings of the 15th international conference on technology in mathematics
teaching (ICTMT 15)
publication_status: published
publisher: Danish School of Education
status: public
title: ' An approach to teaching data science in middle school'
type: book_chapter
user_id: '30619'
year: '2022'
...
---
_id: '48107'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Dietlinde
full_name: Stroop, Dietlinde
last_name: Stroop
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
citation:
ama: 'Podworny S, Fleischer Y, Stroop D, Biehler R. An example of rich, real and
multivariate survey data for use in school. In: ; 2022.'
apa: Podworny, S., Fleischer, Y., Stroop, D., & Biehler, R. (2022). An example
of rich, real and multivariate survey data for use in school. Twelfth Congress
of the European Society for Research in Mathematics Education (CERME12), Bozen-Bolzano,
Italy.
bibtex: '@inproceedings{Podworny_Fleischer_Stroop_Biehler_2022, title={An example
of rich, real and multivariate survey data for use in school}, author={Podworny,
Susanne and Fleischer, Yannik and Stroop, Dietlinde and Biehler, Rolf}, year={2022}
}'
chicago: Podworny, Susanne, Yannik Fleischer, Dietlinde Stroop, and Rolf Biehler.
“An Example of Rich, Real and Multivariate Survey Data for Use in School,” 2022.
ieee: S. Podworny, Y. Fleischer, D. Stroop, and R. Biehler, “An example of rich,
real and multivariate survey data for use in school,” presented at the Twelfth
Congress of the European Society for Research in Mathematics Education (CERME12),
Bozen-Bolzano, Italy, 2022.
mla: Podworny, Susanne, et al. An Example of Rich, Real and Multivariate Survey
Data for Use in School. 2022.
short: 'S. Podworny, Y. Fleischer, D. Stroop, R. Biehler, in: 2022.'
conference:
location: Bozen-Bolzano, Italy
name: Twelfth Congress of the European Society for Research in Mathematics Education
(CERME12)
date_created: 2023-10-17T05:58:32Z
date_updated: 2023-10-17T06:02:02Z
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hal.science/CERME12/hal-03751842v1
oa: '1'
status: public
title: An example of rich, real and multivariate survey data for use in school
type: conference
user_id: '30619'
year: '2022'
...
---
_id: '48104'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
citation:
ama: Podworny S. Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen.
mathematik lehren. 2022;232:36-40.
apa: Podworny, S. (2022). Vokabeln lernen im Schlaf? Statistische Testprozeduren
verstehen. mathematik lehren, 232, 36–40.
bibtex: '@article{Podworny_2022, title={Vokabeln lernen im Schlaf? Statistische
Testprozeduren verstehen}, volume={232}, journal={mathematik lehren}, author={Podworny,
Susanne}, year={2022}, pages={36–40} }'
chicago: 'Podworny, Susanne. “Vokabeln lernen im Schlaf? Statistische Testprozeduren
verstehen.” mathematik lehren 232 (2022): 36–40.'
ieee: S. Podworny, “Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen,”
mathematik lehren, vol. 232, pp. 36–40, 2022.
mla: Podworny, Susanne. “Vokabeln lernen im Schlaf? Statistische Testprozeduren
verstehen.” mathematik lehren, vol. 232, 2022, pp. 36–40.
short: S. Podworny, mathematik lehren 232 (2022) 36–40.
date_created: 2023-10-17T05:54:02Z
date_updated: 2023-10-17T06:02:15Z
intvolume: ' 232'
language:
- iso: ger
page: 36-40
publication: mathematik lehren
publication_status: published
status: public
title: Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen
type: journal_article
user_id: '30619'
volume: 232
year: '2022'
...
---
_id: '35674'
abstract:
- lang: eng
text: We report on our work with students in our data science courses, focusing
on the analysis of students’ results. This study represents an in-depth analysis
of students’ creation and documentation of machine learning models. The students
were supported by educationally designed Jupyter Notebooks, which are used as
worked examples. Using the worked example, students document their results in
a so-called computational essay. We examine which aspects of creating computational
essays are difficult for students to find out how worked examples should be designed
to support students without being too prescriptive. We analyze the computational
essays produced by students and draw consequences for redesigning our worked example.
author:
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Fleischer FY, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks
for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona
L, Bonafini F, Fan A, eds. Bridging the Gap: Empowering and Educating Today’s
Learners in Statistics. Proceedings of the Eleventh International Conference on
Teaching Statistics. International Association for Statistical Education;
2022. doi:10.52041/iase.icots11.t10e3'
apa: 'Fleischer, F. Y., Hüsing, S., Biehler, R., Podworny, S., & Schulte, C.
(2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S.
A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the
Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the
Eleventh International Conference on Teaching Statistics. International Association
for Statistical Education. https://doi.org/10.52041/iase.icots11.t10e3'
bibtex: '@inproceedings{Fleischer_Hüsing_Biehler_Podworny_Schulte_2022, title={Jupyter
Notebooks for Teaching, Learning, and Doing Data Science}, DOI={10.52041/iase.icots11.t10e3},
booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics},
publisher={International Association for Statistical Education}, author={Fleischer,
Franz Yannik and Hüsing, Sven and Biehler, Rolf and Podworny, Susanne and Schulte,
Carsten}, editor={Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan,
A.}, year={2022} }'
chicago: 'Fleischer, Franz Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny,
and Carsten Schulte. “Jupyter Notebooks for Teaching, Learning, and Doing Data
Science.” In Bridging the Gap: Empowering and Educating Today’s Learners in
Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics,
edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International
Association for Statistical Education, 2022. https://doi.org/10.52041/iase.icots11.t10e3.'
ieee: 'F. Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter
Notebooks for Teaching, Learning, and Doing Data Science,” in Bridging the
Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the
Eleventh International Conference on Teaching Statistics, 2022, doi: 10.52041/iase.icots11.t10e3.'
mla: 'Fleischer, Franz Yannik, et al. “Jupyter Notebooks for Teaching, Learning,
and Doing Data Science.” Bridging the Gap: Empowering and Educating Today’s
Learners in Statistics. Proceedings of the Eleventh International Conference on
Teaching Statistics, edited by S. A. Peters et al., International Association
for Statistical Education, 2022, doi:10.52041/iase.icots11.t10e3.'
short: 'F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, in: S.A.
Peters, L. Zapata-Cardona, F. Bonafini, A. Fan (Eds.), Bridging the Gap: Empowering
and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International
Conference on Teaching Statistics, International Association for Statistical Education,
2022.'
date_created: 2023-01-10T08:50:47Z
date_updated: 2024-08-21T10:03:47Z
department:
- _id: '363'
- _id: '67'
doi: 10.52041/iase.icots11.t10e3
editor:
- first_name: S. A.
full_name: Peters, S. A.
last_name: Peters
- first_name: L.
full_name: Zapata-Cardona, L.
last_name: Zapata-Cardona
- first_name: F.
full_name: Bonafini, F.
last_name: Bonafini
- first_name: A.
full_name: Fan, A.
last_name: Fan
language:
- iso: eng
publication: 'Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics'
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Jupyter Notebooks for Teaching, Learning, and Doing Data Science
type: conference
user_id: '37888'
year: '2022'
...
---
_id: '43231'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Podworny S, Frischemeier D, Biehler R. Civic Statistics for Prospective Teachers:
Developing Content and Pedagogical Content Knowledge Through Project Work. In:
Statistics for Empowerment and Social Engagement. Springer International
Publishing; 2022. doi:10.1007/978-3-031-20748-8_15'
apa: 'Podworny, S., Frischemeier, D., & Biehler, R. (2022). Civic Statistics
for Prospective Teachers: Developing Content and Pedagogical Content Knowledge
Through Project Work. In Statistics for Empowerment and Social Engagement.
Springer International Publishing. https://doi.org/10.1007/978-3-031-20748-8_15'
bibtex: '@inbook{Podworny_Frischemeier_Biehler_2022, place={Cham}, title={Civic
Statistics for Prospective Teachers: Developing Content and Pedagogical Content
Knowledge Through Project Work}, DOI={10.1007/978-3-031-20748-8_15},
booktitle={Statistics for Empowerment and Social Engagement}, publisher={Springer
International Publishing}, author={Podworny, Susanne and Frischemeier, Daniel
and Biehler, Rolf}, year={2022} }'
chicago: 'Podworny, Susanne, Daniel Frischemeier, and Rolf Biehler. “Civic Statistics
for Prospective Teachers: Developing Content and Pedagogical Content Knowledge
Through Project Work.” In Statistics for Empowerment and Social Engagement.
Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-20748-8_15.'
ieee: 'S. Podworny, D. Frischemeier, and R. Biehler, “Civic Statistics for Prospective
Teachers: Developing Content and Pedagogical Content Knowledge Through Project
Work,” in Statistics for Empowerment and Social Engagement, Cham: Springer
International Publishing, 2022.'
mla: 'Podworny, Susanne, et al. “Civic Statistics for Prospective Teachers: Developing
Content and Pedagogical Content Knowledge Through Project Work.” Statistics
for Empowerment and Social Engagement, Springer International Publishing,
2022, doi:10.1007/978-3-031-20748-8_15.'
short: 'S. Podworny, D. Frischemeier, R. Biehler, in: Statistics for Empowerment
and Social Engagement, Springer International Publishing, Cham, 2022.'
date_created: 2023-03-30T13:11:51Z
date_updated: 2024-09-25T08:29:42Z
department:
- _id: '363'
doi: 10.1007/978-3-031-20748-8_15
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1007/978-3-031-20748-8_15
place: Cham
publication: Statistics for Empowerment and Social Engagement
publication_identifier:
isbn:
- '9783031207471'
- '9783031207488'
publication_status: published
publisher: Springer International Publishing
status: public
title: 'Civic Statistics for Prospective Teachers: Developing Content and Pedagogical
Content Knowledge Through Project Work'
type: book_chapter
user_id: '37888'
year: '2022'
...
---
_id: '43230'
author:
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Frischemeier D, Podworny S, Biehler R. Data Visualization Packages for Non-inferential
Civic Statistics in High School Classrooms. In: Statistics for Empowerment
and Social Engagement. Springer International Publishing; 2022:199-236. doi:10.1007/978-3-031-20748-8_9'
apa: Frischemeier, D., Podworny, S., & Biehler, R. (2022). Data Visualization
Packages for Non-inferential Civic Statistics in High School Classrooms. In Statistics
for Empowerment and Social Engagement (pp. 199–236). Springer International
Publishing. https://doi.org/10.1007/978-3-031-20748-8_9
bibtex: '@inbook{Frischemeier_Podworny_Biehler_2022, place={Cham}, title={Data Visualization
Packages for Non-inferential Civic Statistics in High School Classrooms}, DOI={10.1007/978-3-031-20748-8_9},
booktitle={Statistics for Empowerment and Social Engagement}, publisher={Springer
International Publishing}, author={Frischemeier, Daniel and Podworny, Susanne
and Biehler, Rolf}, year={2022}, pages={199–236} }'
chicago: 'Frischemeier, Daniel, Susanne Podworny, and Rolf Biehler. “Data Visualization
Packages for Non-Inferential Civic Statistics in High School Classrooms.” In Statistics
for Empowerment and Social Engagement, 199–236. Cham: Springer International
Publishing, 2022. https://doi.org/10.1007/978-3-031-20748-8_9.'
ieee: 'D. Frischemeier, S. Podworny, and R. Biehler, “Data Visualization Packages
for Non-inferential Civic Statistics in High School Classrooms,” in Statistics
for Empowerment and Social Engagement, Cham: Springer International Publishing,
2022, pp. 199–236.'
mla: Frischemeier, Daniel, et al. “Data Visualization Packages for Non-Inferential
Civic Statistics in High School Classrooms.” Statistics for Empowerment and
Social Engagement, Springer International Publishing, 2022, pp. 199–236, doi:10.1007/978-3-031-20748-8_9.
short: 'D. Frischemeier, S. Podworny, R. Biehler, in: Statistics for Empowerment
and Social Engagement, Springer International Publishing, Cham, 2022, pp. 199–236.'
date_created: 2023-03-30T13:08:32Z
date_updated: 2024-09-25T08:29:55Z
department:
- _id: '363'
doi: 10.1007/978-3-031-20748-8_9
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1007/978-3-031-20748-8_9
page: 199-236
place: Cham
publication: Statistics for Empowerment and Social Engagement
publication_identifier:
isbn:
- '9783031207471'
- '9783031207488'
publication_status: published
publisher: Springer International Publishing
status: public
title: Data Visualization Packages for Non-inferential Civic Statistics in High School
Classrooms
type: book_chapter
user_id: '37888'
year: '2022'
...
---
_id: '39064'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Dietlinde
full_name: Stroop, Dietlinde
last_name: Stroop
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Podworny S, Fleischer FY, Stroop D, Biehler R. An example of rich, real and
multivariate survey data for use in school. In: ; 2022.'
apa: Podworny, S., Fleischer, F. Y., Stroop, D., & Biehler, R. (2022). An
example of rich, real and multivariate survey data for use in school. Twelfth
Congress of the European Society for Research in Mathematics Education (CERME12),
Bozen-Bolzano, Italy.
bibtex: '@inproceedings{Podworny_Fleischer_Stroop_Biehler_2022, title={An example
of rich, real and multivariate survey data for use in school}, author={Podworny,
Susanne and Fleischer, Franz Yannik and Stroop, Dietlinde and Biehler, Rolf},
year={2022} }'
chicago: Podworny, Susanne, Franz Yannik Fleischer, Dietlinde Stroop, and Rolf Biehler.
“An Example of Rich, Real and Multivariate Survey Data for Use in School,” 2022.
ieee: S. Podworny, F. Y. Fleischer, D. Stroop, and R. Biehler, “An example of rich,
real and multivariate survey data for use in school,” presented at the Twelfth
Congress of the European Society for Research in Mathematics Education (CERME12),
Bozen-Bolzano, Italy, 2022.
mla: Podworny, Susanne, et al. An Example of Rich, Real and Multivariate Survey
Data for Use in School. 2022.
short: 'S. Podworny, F.Y. Fleischer, D. Stroop, R. Biehler, in: 2022.'
conference:
end_date: 2022-02-06
location: Bozen-Bolzano, Italy
name: Twelfth Congress of the European Society for Research in Mathematics Education
(CERME12)
start_date: 2022-02-02
date_created: 2023-01-24T08:55:09Z
date_updated: 2024-09-25T08:29:28Z
department:
- _id: '363'
language:
- iso: eng
main_file_link:
- url: https://hal.archives-ouvertes.fr/hal-03751842
status: public
title: An example of rich, real and multivariate survey data for use in school
type: conference
user_id: '37888'
year: '2022'
...
---
_id: '48162'
author:
- first_name: Lukas
full_name: Höper, Lukas
last_name: Höper
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
- first_name: Sven
full_name: Hüsing, Sven
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
last_name: Schulte
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Hülya
full_name: Malatyali, Hülya
last_name: Malatyali
citation:
ama: 'Höper L, Podworny S, Hüsing S, et al. Zur neuen Bedeutung von Daten in Data
Science und künstlicher Intelligenz. In: ; 2021:345-345.'
apa: Höper, L., Podworny, S., Hüsing, S., Schulte, C., Fleischer, Y., Biehler, R.,
Frischemeier, D., & Malatyali, H. (2021). Zur neuen Bedeutung von Daten
in Data Science und künstlicher Intelligenz. 345–345.
bibtex: '@inproceedings{Höper_Podworny_Hüsing_Schulte_Fleischer_Biehler_Frischemeier_Malatyali_2021,
title={ Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz},
author={Höper, Lukas and Podworny, Susanne and Hüsing, Sven and Schulte, Carsten
and Fleischer, Yannik and Biehler, Rolf and Frischemeier, Daniel and Malatyali,
Hülya}, year={2021}, pages={345–345} }'
chicago: Höper, Lukas, Susanne Podworny, Sven Hüsing, Carsten Schulte, Yannik Fleischer,
Rolf Biehler, Daniel Frischemeier, and Hülya Malatyali. “ Zur Neuen Bedeutung
von Daten in Data Science Und Künstlicher Intelligenz,” 345–345, 2021.
ieee: L. Höper et al., “ Zur neuen Bedeutung von Daten in Data Science und
künstlicher Intelligenz,” Wuppertal, 2021, pp. 345–345.
mla: Höper, Lukas, et al. Zur Neuen Bedeutung von Daten in Data Science Und
Künstlicher Intelligenz. 2021, pp. 345–345.
short: 'L. Höper, S. Podworny, S. Hüsing, C. Schulte, Y. Fleischer, R. Biehler,
D. Frischemeier, H. Malatyali, in: 2021, pp. 345–345.'
conference:
location: Wuppertal
name: ' INFOS 2021 – 19. GI-Fachtagung Informatik und Schule'
date_created: 2023-10-17T06:12:53Z
date_updated: 2023-10-17T06:12:58Z
language:
- iso: eng
main_file_link:
- url: https://dl.gi.de/items/02cfb785-2d28-49c2-93b0-d81057719bed
page: 345-345
publication_identifier:
isbn:
- 978-3-88579-707-4
status: public
title: ' Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz'
type: conference
user_id: '30619'
year: '2021'
...
---
_id: '35781'
author:
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: Podworny S, Biehler R. The process of actively building a model for a randomization
test – insights into learners’ modeling activities based on a case study. Mathematical
Thinking and Learning. 2021;24(4):291-311. doi:10.1080/10986065.2021.1922837
apa: Podworny, S., & Biehler, R. (2021). The process of actively building a
model for a randomization test – insights into learners’ modeling activities based
on a case study. Mathematical Thinking and Learning, 24(4), 291–311.
https://doi.org/10.1080/10986065.2021.1922837
bibtex: '@article{Podworny_Biehler_2021, title={The process of actively building
a model for a randomization test – insights into learners’ modeling activities
based on a case study}, volume={24}, DOI={10.1080/10986065.2021.1922837},
number={4}, journal={Mathematical Thinking and Learning}, publisher={Informa UK
Limited}, author={Podworny, Susanne and Biehler, Rolf}, year={2021}, pages={291–311}
}'
chicago: 'Podworny, Susanne, and Rolf Biehler. “The Process of Actively Building
a Model for a Randomization Test – Insights into Learners’ Modeling Activities
Based on a Case Study.” Mathematical Thinking and Learning 24, no. 4 (2021):
291–311. https://doi.org/10.1080/10986065.2021.1922837.'
ieee: 'S. Podworny and R. Biehler, “The process of actively building a model for
a randomization test – insights into learners’ modeling activities based on a
case study,” Mathematical Thinking and Learning, vol. 24, no. 4, pp. 291–311,
2021, doi: 10.1080/10986065.2021.1922837.'
mla: Podworny, Susanne, and Rolf Biehler. “The Process of Actively Building a Model
for a Randomization Test – Insights into Learners’ Modeling Activities Based on
a Case Study.” Mathematical Thinking and Learning, vol. 24, no. 4, Informa
UK Limited, 2021, pp. 291–311, doi:10.1080/10986065.2021.1922837.
short: S. Podworny, R. Biehler, Mathematical Thinking and Learning 24 (2021) 291–311.
date_created: 2023-01-10T10:44:50Z
date_updated: 2024-04-18T10:12:50Z
department:
- _id: '363'
doi: 10.1080/10986065.2021.1922837
intvolume: ' 24'
issue: '4'
keyword:
- Developmental and Educational Psychology
- Education
- General Mathematics
language:
- iso: eng
page: 291-311
publication: Mathematical Thinking and Learning
publication_identifier:
issn:
- 1098-6065
- 1532-7833
publication_status: published
publisher: Informa UK Limited
status: public
title: The process of actively building a model for a randomization test – insights
into learners’ modeling activities based on a case study
type: journal_article
user_id: '37888'
volume: 24
year: '2021'
...
---
_id: '35751'
author:
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Lea
full_name: Budde, Lea
id: '32443'
last_name: Budde
citation:
ama: 'Frischemeier D, Biehler R, Podworny S, Budde L. A first introduction to data
science education in secondary schools: Teaching and learning about data exploration
with<scp>CODAP</scp>using survey data. Teaching Statistics.
2021;43(S1):S182-S189. doi:10.1111/test.12283'
apa: 'Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). A first
introduction to data science education in secondary schools: Teaching and learning
about data exploration with<scp>CODAP</scp>using survey data.
Teaching Statistics, 43(S1), S182–S189. https://doi.org/10.1111/test.12283'
bibtex: '@article{Frischemeier_Biehler_Podworny_Budde_2021, title={A first introduction
to data science education in secondary schools: Teaching and learning about data
exploration with<scp>CODAP</scp>using survey data}, volume={43},
DOI={10.1111/test.12283}, number={S1},
journal={Teaching Statistics}, publisher={Wiley}, author={Frischemeier, Daniel
and Biehler, Rolf and Podworny, Susanne and Budde, Lea}, year={2021}, pages={S182–S189}
}'
chicago: 'Frischemeier, Daniel, Rolf Biehler, Susanne Podworny, and Lea Budde. “A
First Introduction to Data Science Education in Secondary Schools: Teaching and
Learning about Data Exploration With<scp>CODAP</Scp>using Survey
Data.” Teaching Statistics 43, no. S1 (2021): S182–89. https://doi.org/10.1111/test.12283.'
ieee: 'D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction
to data science education in secondary schools: Teaching and learning about data
exploration with<scp>CODAP</scp>using survey data,” Teaching
Statistics, vol. 43, no. S1, pp. S182–S189, 2021, doi: 10.1111/test.12283.'
mla: 'Frischemeier, Daniel, et al. “A First Introduction to Data Science Education
in Secondary Schools: Teaching and Learning about Data Exploration With<scp>CODAP</Scp>using
Survey Data.” Teaching Statistics, vol. 43, no. S1, Wiley, 2021, pp. S182–89,
doi:10.1111/test.12283.'
short: D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43
(2021) S182–S189.
date_created: 2023-01-10T10:16:44Z
date_updated: 2024-04-18T10:12:44Z
department:
- _id: '363'
doi: 10.1111/test.12283
intvolume: ' 43'
issue: S1
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
page: S182-S189
publication: Teaching Statistics
publication_identifier:
issn:
- 0141-982X
- 1467-9639
publication_status: published
publisher: Wiley
status: public
title: 'A first introduction to data science education in secondary schools: Teaching
and learning about data exploration withCODAPusing survey data'
type: journal_article
user_id: '37888'
volume: 43
year: '2021'
...
---
_id: '56204'
author:
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Frischemeier D, Podworny S, Biehler R. Integration fachwissenschaftlicher
und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule
am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“.
In: Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik.
Springer Berlin Heidelberg; 2021. doi:10.1007/978-3-662-62854-6_11'
apa: Frischemeier, D., Podworny, S., & Biehler, R. (2021). Integration fachwissenschaftlicher
und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule
am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“.
In Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik.
Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-62854-6_11
bibtex: '@inbook{Frischemeier_Podworny_Biehler_2021, place={Berlin, Heidelberg},
title={Integration fachwissenschaftlicher und fachdidaktischer Komponenten in
der Lehramtsausbildung Mathematik Grundschule am Beispiel einer Veranstaltung
zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“}, DOI={10.1007/978-3-662-62854-6_11},
booktitle={Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik},
publisher={Springer Berlin Heidelberg}, author={Frischemeier, Daniel and Podworny,
Susanne and Biehler, Rolf}, year={2021} }'
chicago: 'Frischemeier, Daniel, Susanne Podworny, and Rolf Biehler. “Integration
fachwissenschaftlicher und fachdidaktischer Komponenten in der Lehramtsausbildung
Mathematik Grundschule am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit
und Wahrscheinlichkeit“.” In Konzepte und Studien zur Hochschuldidaktik und
Lehrerbildung Mathematik. Berlin, Heidelberg: Springer Berlin Heidelberg,
2021. https://doi.org/10.1007/978-3-662-62854-6_11.'
ieee: 'D. Frischemeier, S. Podworny, and R. Biehler, “Integration fachwissenschaftlicher
und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule
am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“,”
in Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik,
Berlin, Heidelberg: Springer Berlin Heidelberg, 2021.'
mla: Frischemeier, Daniel, et al. “Integration fachwissenschaftlicher und fachdidaktischer
Komponenten in der Lehramtsausbildung Mathematik Grundschule am Beispiel einer
Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“.” Konzepte
und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik, Springer Berlin
Heidelberg, 2021, doi:10.1007/978-3-662-62854-6_11.
short: 'D. Frischemeier, S. Podworny, R. Biehler, in: Konzepte und Studien zur Hochschuldidaktik
und Lehrerbildung Mathematik, Springer Berlin Heidelberg, Berlin, Heidelberg,
2021.'
date_created: 2024-09-23T09:01:18Z
date_updated: 2024-09-25T08:27:11Z
department:
- _id: '363'
doi: 10.1007/978-3-662-62854-6_11
language:
- iso: ger
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-662-62854-6_11
place: Berlin, Heidelberg
publication: Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik
publication_identifier:
isbn:
- '9783662628539'
- '9783662628546'
issn:
- 2197-8751
- 2197-876X
publication_status: published
publisher: Springer Berlin Heidelberg
status: public
title: Integration fachwissenschaftlicher und fachdidaktischer Komponenten in der
Lehramtsausbildung Mathematik Grundschule am Beispiel einer Veranstaltung zur Leitidee
„Daten, Häufigkeit und Wahrscheinlichkeit“
type: book_chapter
user_id: '37888'
year: '2021'
...
---
_id: '35814'
author:
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Lea
full_name: Budde, Lea
last_name: Budde
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Dietrich
full_name: Gerstenberger, Dietrich
last_name: Gerstenberger
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Biehler R, Fleischer FY, Budde L, et al. Data science education in secondary
schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks
as an example of integrating machine learning into statistics education. In: Arnold
P, ed. New Skills in the Changing World of Statistics Education Proceedings
of the Roundtable Conference of the International Association for Statistical
Education (IASE). ISI/IASE; 2020.'
apa: 'Biehler, R., Fleischer, F. Y., Budde, L., Frischemeier, D., Gerstenberger,
D., Podworny, S., & Schulte, C. (2020). Data science education in secondary
schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks
as an example of integrating machine learning into statistics education. In P.
Arnold (Ed.), New Skills in the Changing World of Statistics Education Proceedings
of the Roundtable conference of the International Association for Statistical
Education (IASE). ISI/IASE.'
bibtex: '@inproceedings{Biehler_Fleischer_Budde_Frischemeier_Gerstenberger_Podworny_Schulte_2020,
place={Voorborg, The Netherlands}, title={Data science education in secondary
schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks
as an example of integrating machine learning into statistics education}, booktitle={New
Skills in the Changing World of Statistics Education Proceedings of the Roundtable
conference of the International Association for Statistical Education (IASE)},
publisher={ISI/IASE}, author={Biehler, Rolf and Fleischer, Franz Yannik and Budde,
Lea and Frischemeier, Daniel and Gerstenberger, Dietrich and Podworny, Susanne
and Schulte, Carsten}, editor={Arnold, P.}, year={2020} }'
chicago: 'Biehler, Rolf, Franz Yannik Fleischer, Lea Budde, Daniel Frischemeier,
Dietrich Gerstenberger, Susanne Podworny, and Carsten Schulte. “Data Science Education
in Secondary Schools: Teaching and Learning Decision Trees with CODAP and Jupyter
Notebooks as an Example of Integrating Machine Learning into Statistics Education.”
In New Skills in the Changing World of Statistics Education Proceedings of
the Roundtable Conference of the International Association for Statistical Education
(IASE), edited by P. Arnold. Voorborg, The Netherlands: ISI/IASE, 2020.'
ieee: 'R. Biehler et al., “Data science education in secondary schools: Teaching
and learning decision trees with CODAP and Jupyter Notebooks as an example of
integrating machine learning into statistics education,” in New Skills in the
Changing World of Statistics Education Proceedings of the Roundtable conference
of the International Association for Statistical Education (IASE), 2020.'
mla: 'Biehler, Rolf, et al. “Data Science Education in Secondary Schools: Teaching
and Learning Decision Trees with CODAP and Jupyter Notebooks as an Example of
Integrating Machine Learning into Statistics Education.” New Skills in the
Changing World of Statistics Education Proceedings of the Roundtable Conference
of the International Association for Statistical Education (IASE), edited
by P. Arnold, ISI/IASE, 2020.'
short: 'R. Biehler, F.Y. Fleischer, L. Budde, D. Frischemeier, D. Gerstenberger,
S. Podworny, C. Schulte, in: P. Arnold (Ed.), New Skills in the Changing World
of Statistics Education Proceedings of the Roundtable Conference of the International
Association for Statistical Education (IASE), ISI/IASE, Voorborg, The Netherlands,
2020.'
date_created: 2023-01-10T11:19:32Z
date_updated: 2024-08-21T10:03:31Z
department:
- _id: '363'
- _id: '67'
editor:
- first_name: P.
full_name: Arnold, P.
last_name: Arnold
language:
- iso: eng
place: Voorborg, The Netherlands
publication: New Skills in the Changing World of Statistics Education Proceedings
of the Roundtable conference of the International Association for Statistical Education
(IASE)
publisher: ISI/IASE
status: public
title: 'Data science education in secondary schools: Teaching and learning decision
trees with CODAP and Jupyter Notebooks as an example of integrating machine learning
into statistics education'
type: conference
user_id: '37888'
year: '2020'
...