---
_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: '59622'
abstract:
- lang: eng
text: "Abstract\r\n This study explores
how high school students construct decision trees using data cards and the software
CODAP (codap.concord.org) in interviews after attending a teaching unit. We conceptualized
data-based decision tree construction using nine key aspects that we intended
to teach, tested variations of two design elements in teaching, and analyzed the
interviews qualitatively to compare student behavior to intended outcomes. We
found high alignment to intentions but also deviations in data activities and
informal or context-based rather than data-based reasoning. The design element
of context-free (blinded) data seems to enhance data-based reasoning, while the
design element of data card use showed diagnostic potential."
author:
- 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: Fleischer Y, Biehler R. Exploring students’ constructions of data-based decision
trees after an introductory teaching unit on machine learning. ZDM – Mathematics
Education. 2025;57(1). doi:10.1007/s11858-025-01663-6
apa: Fleischer, Y., & Biehler, R. (2025). Exploring students’ constructions
of data-based decision trees after an introductory teaching unit on machine learning.
ZDM – Mathematics Education, 57(1). https://doi.org/10.1007/s11858-025-01663-6
bibtex: '@article{Fleischer_Biehler_2025, title={Exploring students’ constructions
of data-based decision trees after an introductory teaching unit on machine learning},
volume={57}, DOI={10.1007/s11858-025-01663-6},
number={1}, journal={ZDM – Mathematics Education}, publisher={Springer Science
and Business Media LLC}, author={Fleischer, Yannik and Biehler, Rolf}, year={2025}
}'
chicago: Fleischer, Yannik, and Rolf Biehler. “Exploring Students’ Constructions
of Data-Based Decision Trees after an Introductory Teaching Unit on Machine Learning.”
ZDM – Mathematics Education 57, no. 1 (2025). https://doi.org/10.1007/s11858-025-01663-6.
ieee: 'Y. Fleischer and R. Biehler, “Exploring students’ constructions of data-based
decision trees after an introductory teaching unit on machine learning,” ZDM
– Mathematics Education, vol. 57, no. 1, 2025, doi: 10.1007/s11858-025-01663-6.'
mla: Fleischer, Yannik, and Rolf Biehler. “Exploring Students’ Constructions of
Data-Based Decision Trees after an Introductory Teaching Unit on Machine Learning.”
ZDM – Mathematics Education, vol. 57, no. 1, Springer Science and Business
Media LLC, 2025, doi:10.1007/s11858-025-01663-6.
short: Y. Fleischer, R. Biehler, ZDM – Mathematics Education 57 (2025).
date_created: 2025-04-22T07:59:07Z
date_updated: 2025-04-22T08:00:59Z
department:
- _id: '363'
doi: 10.1007/s11858-025-01663-6
intvolume: ' 57'
issue: '1'
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/article/10.1007/s11858-025-01663-6
publication: ZDM – Mathematics Education
publication_identifier:
issn:
- 1863-9690
- 1863-9704
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Exploring students’ constructions of data-based decision trees after an introductory
teaching unit on machine learning
type: journal_article
user_id: '37888'
volume: 57
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: '60860'
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: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Fleischer FY, Biehler R. ANALYZING STUDENTS’INFORMAL APPROACHES TO CREATING
DECISION TREES IN THE CLASSROOM. In: Cornejo C, Felmer P, Gomez DM, et al., eds.
Proceedings of the 48th Conference of the International Group for the Psychology
of Mathematics Education: Research Reports, Vol. 1 . ; 2025:267-274.'
apa: 'Fleischer, F. Y., & Biehler, R. (2025). ANALYZING STUDENTS’INFORMAL APPROACHES
TO CREATING DECISION TREES IN THE CLASSROOM. In C. Cornejo, P. Felmer, D. M. Gomez,
P. Dartnell, P. Araya, A. Peri, & V. Randolph (Eds.), Proceedings of the
48th Conference of the International Group for the Psychology of Mathematics Education:
Research Reports, Vol. 1 (pp. 267–274).'
bibtex: '@inproceedings{Fleischer_Biehler_2025, title={ANALYZING STUDENTS’INFORMAL
APPROACHES TO CREATING DECISION TREES IN THE CLASSROOM}, booktitle={Proceedings
of the 48th Conference of the International Group for the Psychology of Mathematics
Education: Research Reports, Vol. 1 }, author={Fleischer, Franz Yannik and Biehler,
Rolf}, editor={Cornejo, C. and Felmer, P. and Gomez, D.M. and Dartnell, P. and
Araya, P. and Peri, A. and Randolph, V.}, year={2025}, pages={267–274} }'
chicago: 'Fleischer, Franz Yannik, and Rolf Biehler. “ANALYZING STUDENTS’INFORMAL
APPROACHES TO CREATING DECISION TREES IN THE CLASSROOM.” In Proceedings of
the 48th Conference of the International Group for the Psychology of Mathematics
Education: Research Reports, Vol. 1 , edited by C. Cornejo, P. Felmer, D.M.
Gomez, P. Dartnell, P. Araya, A. Peri, and V. Randolph, 267–74, 2025.'
ieee: 'F. Y. Fleischer and R. Biehler, “ANALYZING STUDENTS’INFORMAL APPROACHES TO
CREATING DECISION TREES IN THE CLASSROOM,” in Proceedings of the 48th Conference
of the International Group for the Psychology of Mathematics Education: Research
Reports, Vol. 1 , 2025, pp. 267–274.'
mla: 'Fleischer, Franz Yannik, and Rolf Biehler. “ANALYZING STUDENTS’INFORMAL APPROACHES
TO CREATING DECISION TREES IN THE CLASSROOM.” Proceedings of the 48th Conference
of the International Group for the Psychology of Mathematics Education: Research
Reports, Vol. 1 , edited by C. Cornejo et al., 2025, pp. 267–74.'
short: 'F.Y. Fleischer, R. Biehler, in: C. Cornejo, P. Felmer, D.M. Gomez, P. Dartnell,
P. Araya, A. Peri, V. Randolph (Eds.), Proceedings of the 48th Conference of the
International Group for the Psychology of Mathematics Education: Research Reports,
Vol. 1 , 2025, pp. 267–274.'
date_created: 2025-08-04T07:15:39Z
date_updated: 2025-08-04T07:17:59Z
department:
- _id: '363'
editor:
- first_name: C.
full_name: Cornejo, C.
last_name: Cornejo
- first_name: P.
full_name: Felmer, P.
last_name: Felmer
- first_name: D.M.
full_name: Gomez, D.M.
last_name: Gomez
- first_name: P.
full_name: Dartnell, P.
last_name: Dartnell
- first_name: P.
full_name: Araya, P.
last_name: Araya
- first_name: A.
full_name: Peri, A.
last_name: Peri
- first_name: V.
full_name: Randolph, V.
last_name: Randolph
language:
- iso: eng
page: 267-274
publication: 'Proceedings of the 48th Conference of the International Group for the
Psychology of Mathematics Education: Research Reports, Vol. 1 '
status: public
title: ANALYZING STUDENTS’INFORMAL APPROACHES TO CREATING DECISION TREES IN THE CLASSROOM
type: conference
user_id: '37888'
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
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file_name: ICLS2024_1863-1870.pdf
file_size: 343448
relation: main_file
success: 1
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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: '57950'
author:
- 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: 'Fleischer Y, Biehler R. Intuitiver Zugang zu datenbasierten Entscheidungsbäumen.
In: Ebers P, Rösken F, Barzel B, Büchter A, Schacht F, Scherer P, eds. Beiträge
zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik
der Mathematik. WTM-Verlag; 2024:167-170. doi:10.37626/GA9783959872782.0'
apa: Fleischer, Y., & Biehler, R. (2024). Intuitiver Zugang zu datenbasierten
Entscheidungsbäumen. In P. Ebers, F. Rösken, B. Barzel, A. Büchter, F. Schacht,
& P. Scherer (Eds.), Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung
der Gesellschaft für Didaktik der Mathematik. (pp. 167–170). WTM-Verlag. https://doi.org/10.37626/GA9783959872782.0
bibtex: '@inbook{Fleischer_Biehler_2024, place={Münster}, title={Intuitiver Zugang
zu datenbasierten Entscheidungsbäumen}, DOI={10.37626/GA9783959872782.0},
booktitle={Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft
für Didaktik der Mathematik.}, publisher={WTM-Verlag}, author={Fleischer, Yannik
and Biehler, Rolf}, editor={Ebers, P. and Rösken, F. and Barzel, B. and Büchter,
A. and Schacht, F. and Scherer, P.}, year={2024}, pages={167–170} }'
chicago: 'Fleischer, Yannik, and Rolf Biehler. “Intuitiver Zugang zu datenbasierten
Entscheidungsbäumen.” In Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung
der Gesellschaft für Didaktik der Mathematik., edited by P. Ebers, F. Rösken,
B. Barzel, A. Büchter, F. Schacht, and P. Scherer, 167–70. Münster: WTM-Verlag,
2024. https://doi.org/10.37626/GA9783959872782.0.'
ieee: 'Y. Fleischer and R. Biehler, “Intuitiver Zugang zu datenbasierten Entscheidungsbäumen,”
in Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft
für Didaktik der Mathematik., P. Ebers, F. Rösken, B. Barzel, A. Büchter,
F. Schacht, and P. Scherer, Eds. Münster: WTM-Verlag, 2024, pp. 167–170.'
mla: Fleischer, Yannik, and Rolf Biehler. “Intuitiver Zugang zu datenbasierten Entscheidungsbäumen.”
Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft
für Didaktik der Mathematik., edited by P. Ebers et al., WTM-Verlag, 2024,
pp. 167–70, doi:10.37626/GA9783959872782.0.
short: 'Y. Fleischer, R. Biehler, in: P. Ebers, F. Rösken, B. Barzel, A. Büchter,
F. Schacht, P. Scherer (Eds.), Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung
der Gesellschaft für Didaktik der Mathematik., WTM-Verlag, Münster, 2024, pp.
167–170.'
date_created: 2025-01-06T11:14:58Z
date_updated: 2025-01-06T11:15:07Z
ddc:
- '510'
department:
- _id: '363'
doi: 10.37626/GA9783959872782.0
editor:
- first_name: P.
full_name: Ebers, P.
last_name: Ebers
- first_name: F.
full_name: Rösken, F.
last_name: Rösken
- first_name: B.
full_name: Barzel, B.
last_name: Barzel
- first_name: A.
full_name: Büchter, A.
last_name: Büchter
- first_name: F.
full_name: Schacht, F.
last_name: Schacht
- first_name: P.
full_name: Scherer, P.
last_name: Scherer
file:
- access_level: closed
content_type: application/pdf
creator: krueter
date_created: 2025-01-06T11:14:34Z
date_updated: 2025-01-06T11:14:34Z
file_id: '57951'
file_name: BzMU24_167.pdf
file_size: 2075329
relation: main_file
success: 1
file_date_updated: 2025-01-06T11:14:34Z
has_accepted_license: '1'
language:
- iso: ger
main_file_link:
- url: https://doi.org/10.37626/GA9783959872782.0
page: 167-170
place: Münster
publication: Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft
für Didaktik der Mathematik.
publisher: WTM-Verlag
status: public
title: Intuitiver Zugang zu datenbasierten Entscheidungsbäumen
type: book_chapter
user_id: '37888'
year: '2024'
...
---
_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: '35672'
abstract:
- lang: eng
text: This study examines modelling with machine learning. In the context
of a yearlong data science course, the study explores how upper secondary students
apply machine learning with Jupyter Notebooks and document the modelling process
as a computational essay incorporating the different steps of the CRISP-DM cycle.
The students’ work is based on a teaching module about decision trees in machine
learning and a worked example of such a modelling process. The study outlines
the students’ performance in carrying out the machine learning technically and
reasoning about bias in the data, different data preparation steps, the application
context, and the resulting decision model. Furthermore, the context of the study
and the theoretical backgrounds are presented.
article_number: '7'
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: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine
Learning with Educationally Designed Jupyter Notebooks. Statistics Education
Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
apa: Fleischer, F. Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning
Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics
Education Research Journal, 21(2), Article 7. https://doi.org/10.52041/serj.v21i2.61
bibtex: '@article{Fleischer_Biehler_Schulte_2022, title={Teaching and Learning Data-Driven
Machine Learning with Educationally Designed Jupyter Notebooks}, volume={21},
DOI={10.52041/serj.v21i2.61},
number={27}, journal={Statistics Education Research Journal}, publisher={International
Association for Statistical Education}, author={Fleischer, Franz Yannik and Biehler,
Rolf and Schulte, Carsten}, year={2022} }'
chicago: Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and
Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.”
Statistics Education Research Journal 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.61.
ieee: 'F. Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven
Machine Learning with Educationally Designed Jupyter Notebooks,” Statistics
Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi: 10.52041/serj.v21i2.61.'
mla: Fleischer, Franz Yannik, et al. “Teaching and Learning Data-Driven Machine
Learning with Educationally Designed Jupyter Notebooks.” Statistics Education
Research Journal, vol. 21, no. 2, 7, International Association for Statistical
Education, 2022, doi:10.52041/serj.v21i2.61.
short: F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal
21 (2022).
date_created: 2023-01-10T08:48:23Z
date_updated: 2024-08-21T10:04:41Z
department:
- _id: '363'
- _id: '67'
doi: 10.52041/serj.v21i2.61
intvolume: ' 21'
issue: '2'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
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 Data-Driven Machine Learning with Educationally Designed
Jupyter Notebooks
type: journal_article
user_id: '37888'
volume: 21
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: '35737'
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
citation:
ama: Biehler R, Fleischer FY. Introducing students to machine learning with decision
trees using CODAP and Jupyter Notebooks. Teaching Statistics. 2021;43:S133-S142.
doi:10.1111/test.12279
apa: Biehler, R., & Fleischer, F. Y. (2021). Introducing students to machine
learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics,
43, S133–S142. https://doi.org/10.1111/test.12279
bibtex: '@article{Biehler_Fleischer_2021, title={Introducing students to machine
learning with decision trees using CODAP and Jupyter Notebooks}, volume={43},
DOI={10.1111/test.12279}, journal={Teaching
Statistics}, publisher={Wiley}, author={Biehler, Rolf and Fleischer, Franz Yannik},
year={2021}, pages={S133–S142} }'
chicago: 'Biehler, Rolf, and Franz Yannik Fleischer. “Introducing Students to Machine
Learning with Decision Trees Using CODAP and Jupyter Notebooks.” Teaching Statistics
43 (2021): S133–42. https://doi.org/10.1111/test.12279.'
ieee: 'R. Biehler and F. Y. Fleischer, “Introducing students to machine learning
with decision trees using CODAP and Jupyter Notebooks,” Teaching Statistics,
vol. 43, pp. S133–S142, 2021, doi: 10.1111/test.12279.'
mla: Biehler, Rolf, and Franz Yannik Fleischer. “Introducing Students to Machine
Learning with Decision Trees Using CODAP and Jupyter Notebooks.” Teaching Statistics,
vol. 43, Wiley, 2021, pp. S133–42, doi:10.1111/test.12279.
short: R. Biehler, F.Y. Fleischer, Teaching Statistics 43 (2021) S133–S142.
date_created: 2023-01-10T10:08:32Z
date_updated: 2024-08-21T10:05:05Z
department:
- _id: '363'
doi: 10.1111/test.12279
intvolume: ' 43'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
page: S133-S142
publication: Teaching Statistics
publication_identifier:
issn:
- 0141-982X
- 1467-9639
publication_status: published
publisher: Wiley
status: public
title: Introducing students to machine learning with decision trees using CODAP and
Jupyter Notebooks
type: journal_article
user_id: '37888'
volume: 43
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'
...
---
_id: '35823'
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: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Fleischer FY, Biehler R. Automatisierte Entscheidungsverfahren als Thema im
allgemeinbildenden Mathematikunterricht. In: Siller H-S, Weigel W, Wörler JF,
eds. Beiträge zum Mathematikunterricht 2020. WTM-Verlag; 2020. doi:10.17877/DE290R-21301'
apa: Fleischer, F. Y., & Biehler, R. (2020). Automatisierte Entscheidungsverfahren
als Thema im allgemeinbildenden Mathematikunterricht. In H.-S. Siller, W. Weigel,
& J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020. WTM-Verlag.
https://doi.org/10.17877/DE290R-21301
bibtex: '@inbook{Fleischer_Biehler_2020, place={Münster}, title={Automatisierte
Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht},
DOI={10.17877/DE290R-21301},
booktitle={Beiträge zum Mathematikunterricht 2020}, publisher={WTM-Verlag}, author={Fleischer,
Franz Yannik and Biehler, Rolf}, editor={Siller, H.-S. and Weigel, W. and Wörler,
J. F.}, year={2020} }'
chicago: 'Fleischer, Franz Yannik, and Rolf Biehler. “Automatisierte Entscheidungsverfahren
als Thema im allgemeinbildenden Mathematikunterricht.” In Beiträge zum Mathematikunterricht
2020, edited by H.-S. Siller, W. Weigel, and J. F. Wörler. Münster: WTM-Verlag,
2020. https://doi.org/10.17877/DE290R-21301.'
ieee: 'F. Y. Fleischer and R. Biehler, “Automatisierte Entscheidungsverfahren als
Thema im allgemeinbildenden Mathematikunterricht,” in Beiträge zum Mathematikunterricht
2020, H.-S. Siller, W. Weigel, and J. F. Wörler, Eds. Münster: WTM-Verlag,
2020.'
mla: Fleischer, Franz Yannik, and Rolf Biehler. “Automatisierte Entscheidungsverfahren
als Thema im allgemeinbildenden Mathematikunterricht.” Beiträge zum Mathematikunterricht
2020, edited by H.-S. Siller et al., WTM-Verlag, 2020, doi:10.17877/DE290R-21301.
short: 'F.Y. Fleischer, R. Biehler, in: H.-S. Siller, W. Weigel, J.F. Wörler (Eds.),
Beiträge zum Mathematikunterricht 2020, WTM-Verlag, Münster, 2020.'
date_created: 2023-01-10T11:46:59Z
date_updated: 2024-08-21T10:04:54Z
department:
- _id: '363'
doi: 10.17877/DE290R-21301
editor:
- first_name: H.-S.
full_name: Siller, H.-S.
last_name: Siller
- first_name: W.
full_name: Weigel, W.
last_name: Weigel
- first_name: J. F.
full_name: Wörler, J. F.
last_name: Wörler
language:
- iso: ger
place: Münster
publication: Beiträge zum Mathematikunterricht 2020
publisher: WTM-Verlag
status: public
title: Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht
type: book_chapter
user_id: '37888'
year: '2020'
...
---
_id: '35821'
author:
- first_name: Lea
full_name: Budde, Lea
last_name: Budde
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- 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: 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: 'Budde L, Frischemeier D, Biehler R, et al. Data Science Education in Secondary
School: How to Develop Statistical Reasoning When Exploring Data Using CODAP.
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), July 2020. ISI/IASE; 2020.'
apa: 'Budde, L., Frischemeier, D., Biehler, R., Fleischer, F. Y., Gerstenberger,
D., Podworny, S., & Schulte, C. (2020). Data Science Education in Secondary
School: How to Develop Statistical Reasoning When Exploring Data Using CODAP.
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), July 2020. ISI/IASE.'
bibtex: '@inbook{Budde_Frischemeier_Biehler_Fleischer_Gerstenberger_Podworny_Schulte_2020,
place={Voorborg, The Netherlands}, title={Data Science Education in Secondary
School: How to Develop Statistical Reasoning When Exploring Data Using CODAP},
booktitle={New Skills in the Changing World of Statistics Education: Proceedings
of the Roundtable conference of the International Association for Statistical
Education (IASE), July 2020}, publisher={ISI/IASE}, author={Budde, Lea and Frischemeier,
Daniel and Biehler, Rolf and Fleischer, Franz Yannik and Gerstenberger, Dietrich
and Podworny, Susanne and Schulte, Carsten}, editor={Arnold, P.}, year={2020}
}'
chicago: 'Budde, Lea, Daniel Frischemeier, Rolf Biehler, Franz Yannik Fleischer,
Dietrich Gerstenberger, Susanne Podworny, and Carsten Schulte. “Data Science Education
in Secondary School: How to Develop Statistical Reasoning When Exploring Data
Using CODAP.” In New Skills in the Changing World of Statistics Education:
Proceedings of the Roundtable Conference of the International Association for
Statistical Education (IASE), July 2020, edited by P. Arnold. Voorborg, The
Netherlands: ISI/IASE, 2020.'
ieee: 'L. Budde et al., “Data Science Education in Secondary School: How
to Develop Statistical Reasoning When Exploring Data Using CODAP,” in New Skills
in the Changing World of Statistics Education: Proceedings of the Roundtable conference
of the International Association for Statistical Education (IASE), July 2020,
P. Arnold, Ed. Voorborg, The Netherlands: ISI/IASE, 2020.'
mla: 'Budde, Lea, et al. “Data Science Education in Secondary School: How to Develop
Statistical Reasoning When Exploring Data Using CODAP.” New Skills in the Changing
World of Statistics Education: Proceedings of the Roundtable Conference of the
International Association for Statistical Education (IASE), July 2020, edited
by P. Arnold, ISI/IASE, 2020.'
short: 'L. Budde, D. Frischemeier, R. Biehler, F.Y. Fleischer, 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), July 2020, ISI/IASE, Voorborg, The
Netherlands, 2020.'
date_created: 2023-01-10T11:41:21Z
date_updated: 2024-11-12T11:03:59Z
ddc:
- '510'
department:
- _id: '363'
- _id: '67'
editor:
- first_name: P.
full_name: Arnold, P.
last_name: Arnold
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date_updated: 2024-11-12T11:03:44Z
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title: 'Data Science Education in Secondary School: How to Develop Statistical Reasoning
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