---
_id: '47151'
abstract:
- lang: eng
text: When it comes to mastering the digital world, the education system
is more and more facing the task of making students competent and self-determined
agents when interacting with digital artefacts. This task often falls to computing
education. In the traditional fields of computing education, a plethora of models,
guidelines, and principles exist, which help scholars and teachers identify what
the relevant aspects are and which of them one should cover in the classroom.
When it comes to explaining the world of digital artefacts, however, there is
hardly any such guiding model. The ARIadne model introduced in this paper provides
a means of explanation and exploration of digital artefacts which help teachers
and students to do a subject analysis of digital artefacts by scrutinizing them
from several perspectives. Instead of artificially separating aspects which target
the same phenomena within different areas of education (like computing, ICT or
media education), the model integrates technological aspects of digital artefacts
and the relevant societal discourses of their usage, their impacts and the reasons
behind their development into a coherent explanation model.
author:
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: Winkelnkemper F, Höper L, Schulte C. ARIadne – An Explanation Model for Digital
Artefacts. Informatics in Education. Published online 2023. doi:10.15388/infedu.2024.09
apa: Winkelnkemper, F., Höper, L., & Schulte, C. (2023). ARIadne – An Explanation
Model for Digital Artefacts. Informatics in Education. https://doi.org/10.15388/infedu.2024.09
bibtex: '@article{Winkelnkemper_Höper_Schulte_2023, title={ARIadne – An Explanation
Model for Digital Artefacts}, DOI={10.15388/infedu.2024.09},
journal={Informatics in Education}, publisher={Vilnius University Press}, author={Winkelnkemper,
Felix and Höper, Lukas and Schulte, Carsten}, year={2023} }'
chicago: Winkelnkemper, Felix, Lukas Höper, and Carsten Schulte. “ARIadne – An Explanation
Model for Digital Artefacts.” Informatics in Education, 2023. https://doi.org/10.15388/infedu.2024.09.
ieee: 'F. Winkelnkemper, L. Höper, and C. Schulte, “ARIadne – An Explanation Model
for Digital Artefacts,” Informatics in Education, 2023, doi: 10.15388/infedu.2024.09.'
mla: Winkelnkemper, Felix, et al. “ARIadne – An Explanation Model for Digital Artefacts.”
Informatics in Education, Vilnius University Press, 2023, doi:10.15388/infedu.2024.09.
short: F. Winkelnkemper, L. Höper, C. Schulte, Informatics in Education (2023).
date_created: 2023-09-21T11:24:41Z
date_updated: 2024-11-19T07:26:12Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.15388/infedu.2024.09
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:25:56Z
date_updated: 2024-11-19T07:25:56Z
file_id: '57215'
file_name: infedu.2024.15.pdf
file_size: 1034363
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:25:56Z
has_accepted_license: '1'
keyword:
- Computer Science Applications
- Communication
- Education
- General Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://infedu.vu.lt/journal/INFEDU/article/772/info
oa: '1'
publication: Informatics in Education
publication_identifier:
issn:
- 1648-5831
- 2335-8971
publication_status: published
publisher: Vilnius University Press
quality_controlled: '1'
status: public
title: ARIadne – An Explanation Model for Digital Artefacts
type: journal_article
user_id: '58041'
year: '2023'
...
---
_id: '47448'
abstract:
- lang: eng
text: 'In XAI it is important to consider that, in contrast to explanations for
professional audiences, one cannot assume common expertise when explaining for
laypeople. But such explanations between humans vary greatly, making it difficult
to research commonalities across explanations. We used the dual nature theory,
a techno-philosophical approach, to cope with these challenges. According to it,
one can explain, for example, an XAI''s decision by addressing its dual nature:
by focusing on the Architecture (e.g., the logic of its algorithms) or the Relevance
(e.g., the severity of a decision, the implications of a recommendation). We investigated
20 game explanations using the theory as an analytical framework. We elaborate
how we used the theory to quickly structure and compare explanations of technological
artifacts. We supplemented results from analyzing the explanation contents with
results from a video recall to explore how explainers justified their explanation.
We found that explainers were focusing on the physical aspects of the game first
(Architecture) and only later on aspects of the Relevance. Reasoning in the video
recalls indicated that EX regarded the focus on the Architecture as important
for structuring the explanation initially by explaining the basic components before
focusing on more complex, intangible aspects. Shifting between addressing the
two sides was justified by explanation goals, emerging misunderstandings, and
the knowledge needs of the explainee. We discovered several commonalities that
inspire future research questions which, if further generalizable, provide first
ideas for the construction of synthetic explanations.'
author:
- first_name: Lutz
full_name: Terfloth, Lutz
id: '37320'
last_name: Terfloth
- first_name: Michael
full_name: Schaffer, Michael
last_name: Schaffer
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Terfloth L, Schaffer M, Buhl HM, Schulte C. Adding Why to What? Analyses of
an Everyday Explanation. In: Springer, Cham; 2023. doi:10.1007/978-3-031-44070-0_13'
apa: Terfloth, L., Schaffer, M., Buhl, H. M., & Schulte, C. (2023). Adding
Why to What? Analyses of an Everyday Explanation. 1st World Conference on
eXplainable Artificial Intelligence (xAI 2023), Lisboa. https://doi.org/10.1007/978-3-031-44070-0_13
bibtex: '@inproceedings{Terfloth_Schaffer_Buhl_Schulte_2023, title={Adding Why to
What? Analyses of an Everyday Explanation}, DOI={10.1007/978-3-031-44070-0_13},
publisher={Springer, Cham}, author={Terfloth, Lutz and Schaffer, Michael and Buhl,
Heike M. and Schulte, Carsten}, year={2023} }'
chicago: Terfloth, Lutz, Michael Schaffer, Heike M. Buhl, and Carsten Schulte. “Adding
Why to What? Analyses of an Everyday Explanation.” Springer, Cham, 2023. https://doi.org/10.1007/978-3-031-44070-0_13.
ieee: 'L. Terfloth, M. Schaffer, H. M. Buhl, and C. Schulte, “Adding Why to What?
Analyses of an Everyday Explanation,” presented at the 1st World Conference on
eXplainable Artificial Intelligence (xAI 2023), Lisboa, 2023, doi: 10.1007/978-3-031-44070-0_13.'
mla: Terfloth, Lutz, et al. Adding Why to What? Analyses of an Everyday Explanation.
Springer, Cham, 2023, doi:10.1007/978-3-031-44070-0_13.
short: 'L. Terfloth, M. Schaffer, H.M. Buhl, C. Schulte, in: Springer, Cham, 2023.'
conference:
end_date: 2023-07-28
location: Lisboa
name: 1st World Conference on eXplainable Artificial Intelligence (xAI 2023)
start_date: 2023-07-26
date_created: 2023-09-26T12:00:06Z
date_updated: 2025-08-12T07:54:19Z
department:
- _id: '67'
- _id: '660'
doi: 10.1007/978-3-031-44070-0_13
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/chapter/10.1007/978-3-031-44070-0_13
oa: '1'
project:
- _id: '114'
grant_number: '438445824'
name: 'TRR 318 - A04: TRR 318 - Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten (Teilprojekt A04)'
publication_identifier:
isbn:
- 978-3-031-44069-4
publication_status: published
publisher: Springer, Cham
status: public
title: Adding Why to What? Analyses of an Everyday Explanation
type: conference
user_id: '90826'
year: '2023'
...
---
_id: '32335'
abstract:
- lang: eng
text: Aspects of data science surround us in many contexts, for example regarding
climate change, air pollution, and other environmental issues. To open the “data-science-black-box”
for lower secondary school students we developed a data science project focussing
on the analysis of self-collected environmental data. We embed this project in
computer science education, which enables us to use a new knowledge-based programming
approach for the data analysis within Jupyter Notebooks and the programming language
Python. In this paper, we evaluate the second cycle of this project which took
place in a ninth-grade computer science class. In particular, we present how the
students coped with the professional tool of Jupyter Notebooks for doing statistical
investigations and which insights they gained.
article_number: '6'
author:
- first_name: SUSANNE
full_name: PODWORNY, SUSANNE
last_name: PODWORNY
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: CARSTEN
full_name: SCHULTE, CARSTEN
last_name: SCHULTE
citation:
ama: 'PODWORNY S, Hüsing S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL:
BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH
JOURNAL. 2022;21(2). doi:10.52041/serj.v21i2.46'
apa: 'PODWORNY, S., Hüsing, S., & SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE
PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS
EDUCATION RESEARCH JOURNAL, 21(2), Article 6. https://doi.org/10.52041/serj.v21i2.46'
bibtex: '@article{PODWORNY_Hüsing_SCHULTE_2022, title={A PLACE FOR A DATA SCIENCE
PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}, volume={21},
DOI={10.52041/serj.v21i2.46},
number={26}, journal={STATISTICS EDUCATION RESEARCH JOURNAL}, publisher={International
Association for Statistical Education}, author={PODWORNY, SUSANNE and Hüsing,
Sven and SCHULTE, CARSTEN}, year={2022} }'
chicago: 'PODWORNY, SUSANNE, Sven Hüsing, and CARSTEN SCHULTE. “A PLACE FOR A DATA
SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS
EDUCATION RESEARCH JOURNAL 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.46.'
ieee: 'S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT
IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION
RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.'
mla: 'PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN
STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL,
vol. 21, no. 2, 6, International Association for Statistical Education, 2022,
doi:10.52041/serj.v21i2.46.'
short: S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL
21 (2022).
date_created: 2022-07-08T12:06:48Z
date_updated: 2022-07-08T12:07:46Z
department:
- _id: '67'
doi: 10.52041/serj.v21i2.46
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: 'A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC
PROGRAMMING'
type: journal_article
user_id: '58465'
volume: 21
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: '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: '38158'
author:
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Dominik
full_name: Bechinie, Dominik
last_name: Bechinie
- first_name: Katja
full_name: Eilerts, Katja
last_name: Eilerts
- first_name: Michael
full_name: Lenke, Michael
last_name: Lenke
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Winkelnkemper F, Huhmann T, Bechinie D, Eilerts K, Lenke M, Schulte C. Supporting
Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences
and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities.
In: Society for Information Technology & Teacher Education International
Conference. ; 2022:1407–1413.'
apa: Winkelnkemper, F., Huhmann, T., Bechinie, D., Eilerts, K., Lenke, M., &
Schulte, C. (2022). Supporting Geometry Learning Digitally-an Interdisciplinary
Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable
Algorithmic Feedback Capabilities. Society for Information Technology &
Teacher Education International Conference, 1407–1413.
bibtex: '@inproceedings{Winkelnkemper_Huhmann_Bechinie_Eilerts_Lenke_Schulte_2022,
title={Supporting Geometry Learning Digitally-an Interdisciplinary Project to
Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic
Feedback Capabilities}, booktitle={Society for Information Technology & Teacher
Education International Conference}, author={Winkelnkemper, Felix and Huhmann,
Tobias and Bechinie, Dominik and Eilerts, Katja and Lenke, Michael and Schulte,
Carsten}, year={2022}, pages={1407–1413} }'
chicago: Winkelnkemper, Felix, Tobias Huhmann, Dominik Bechinie, Katja Eilerts,
Michael Lenke, and Carsten Schulte. “Supporting Geometry Learning Digitally-an
Interdisciplinary Project to Foster Spatial Competences and Individual Learning
Paths by Using Adaptable Algorithmic Feedback Capabilities.” In Society for
Information Technology & Teacher Education International Conference, 1407–1413,
2022.
ieee: F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, and C. Schulte,
“Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster
Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic
Feedback Capabilities,” in Society for Information Technology & Teacher
Education International Conference, 2022, pp. 1407–1413.
mla: Winkelnkemper, Felix, et al. “Supporting Geometry Learning Digitally-an Interdisciplinary
Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable
Algorithmic Feedback Capabilities.” Society for Information Technology &
Teacher Education International Conference, 2022, pp. 1407–1413.
short: 'F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, C. Schulte,
in: Society for Information Technology & Teacher Education International Conference,
2022, pp. 1407–1413.'
date_created: 2023-01-23T15:19:44Z
date_updated: 2023-01-24T09:17:22Z
department:
- _id: '67'
keyword:
- ⛔ No DOI found
language:
- iso: eng
page: 1407–1413
publication: Society for Information Technology & Teacher Education International
Conference
status: public
title: Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster
Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic
Feedback Capabilities
type: conference
user_id: '21145'
year: '2022'
...
---
_id: '39080'
author:
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
citation:
ama: 'Schulte C, Winkelnkemper F. Digitalisierung als Chance und Herausforderung
- Bemerkungen aus der Didaktik der Informatik. In: Theologie Im Übergang -
Identität - Digitalisierung - Dialog. Kirche in Zeiten der Veränderung. Herder;
2022:117–135.'
apa: Schulte, C., & Winkelnkemper, F. (2022). Digitalisierung als Chance und
Herausforderung - Bemerkungen aus der Didaktik der Informatik. In Theologie
im Übergang - Identität - Digitalisierung - Dialog (pp. 117–135). Herder.
bibtex: '@inbook{Schulte_Winkelnkemper_2022, place={Freiburg im Breisgau}, series={Kirche
in Zeiten der Veränderung}, title={Digitalisierung als Chance und Herausforderung
- Bemerkungen aus der Didaktik der Informatik}, booktitle={Theologie im Übergang
- Identität - Digitalisierung - Dialog}, publisher={Herder}, author={Schulte,
Carsten and Winkelnkemper, Felix}, year={2022}, pages={117–135}, collection={Kirche
in Zeiten der Veränderung} }'
chicago: 'Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance
Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” In Theologie
Im Übergang - Identität - Digitalisierung - Dialog, 117–135. Kirche in Zeiten
Der Veränderung. Freiburg im Breisgau: Herder, 2022.'
ieee: 'C. Schulte and F. Winkelnkemper, “Digitalisierung als Chance und Herausforderung
- Bemerkungen aus der Didaktik der Informatik,” in Theologie im Übergang -
Identität - Digitalisierung - Dialog, Freiburg im Breisgau: Herder, 2022,
pp. 117–135.'
mla: Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und
Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” Theologie Im
Übergang - Identität - Digitalisierung - Dialog, Herder, 2022, pp. 117–135.
short: 'C. Schulte, F. Winkelnkemper, in: Theologie Im Übergang - Identität - Digitalisierung
- Dialog, Herder, Freiburg im Breisgau, 2022, pp. 117–135.'
date_created: 2023-01-24T09:11:30Z
date_updated: 2023-01-24T09:18:30Z
department:
- _id: '67'
language:
- iso: eng
page: 117–135
place: Freiburg im Breisgau
publication: Theologie im Übergang - Identität - Digitalisierung - Dialog
publisher: Herder
series_title: Kirche in Zeiten der Veränderung
status: public
title: Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik
der Informatik
type: book_chapter
user_id: '21145'
year: '2022'
...
---
_id: '38160'
author:
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Felix
full_name: Winkelnkemper, Felix
last_name: Winkelnkemper
citation:
ama: 'Huhmann T, Winkelnkemper F. SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH
ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. In: EDULEARN22 Proceedings.
; 2022:10017–10026. doi:10.21125/edulearn.2022.2416'
apa: Huhmann, T., & Winkelnkemper, F. (2022). SUPPORTING GEOMETRY LEARNING DIGITALLY
THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. EDULEARN22
Proceedings, 10017–10026. https://doi.org/10.21125/edulearn.2022.2416
bibtex: '@inproceedings{Huhmann_Winkelnkemper_2022, title={SUPPORTING GEOMETRY LEARNING
DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS}, DOI={10.21125/edulearn.2022.2416},
booktitle={EDULEARN22 Proceedings}, author={Huhmann, Tobias and Winkelnkemper,
Felix}, year={2022}, pages={10017–10026} }'
chicago: Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING
DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” In
EDULEARN22 Proceedings, 10017–10026, 2022. https://doi.org/10.21125/edulearn.2022.2416.
ieee: 'T. Huhmann and F. Winkelnkemper, “SUPPORTING GEOMETRY LEARNING DIGITALLY
THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS,” in EDULEARN22
Proceedings, 2022, pp. 10017–10026, doi: 10.21125/edulearn.2022.2416.'
mla: Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY
THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” EDULEARN22
Proceedings, 2022, pp. 10017–10026, doi:10.21125/edulearn.2022.2416.
short: 'T. Huhmann, F. Winkelnkemper, in: EDULEARN22 Proceedings, 2022, pp. 10017–10026.'
date_created: 2023-01-23T15:21:21Z
date_updated: 2023-01-24T09:17:28Z
department:
- _id: '67'
doi: 10.21125/edulearn.2022.2416
language:
- iso: eng
page: 10017–10026
publication: EDULEARN22 Proceedings
status: public
title: SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES
AND SOLUTIONS
type: conference
user_id: '21145'
year: '2022'
...
---
_id: '38162'
author:
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Katja
full_name: Eilerts, Katja
last_name: Eilerts
- first_name: Felix
full_name: Winkelnkemper, Felix
last_name: Winkelnkemper
citation:
ama: Huhmann T, Eilerts K, Winkelnkemper F. Pentomino Digital - Mit Einer App Geometrie
Lernen. Mathematik differenziert. 2022;(4-2022):42–45.
apa: Huhmann, T., Eilerts, K., & Winkelnkemper, F. (2022). Pentomino Digital
- Mit Einer App Geometrie Lernen. Mathematik Differenziert, 4–2022,
42–45.
bibtex: '@article{Huhmann_Eilerts_Winkelnkemper_2022, title={Pentomino Digital -
Mit Einer App Geometrie Lernen}, number={4–2022}, journal={Mathematik differenziert},
author={Huhmann, Tobias and Eilerts, Katja and Winkelnkemper, Felix}, year={2022},
pages={42–45} }'
chicago: 'Huhmann, Tobias, Katja Eilerts, and Felix Winkelnkemper. “Pentomino Digital
- Mit Einer App Geometrie Lernen.” Mathematik Differenziert, no. 4–2022
(2022): 42–45.'
ieee: T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer
App Geometrie Lernen,” Mathematik differenziert, no. 4–2022, pp. 42–45,
2022.
mla: Huhmann, Tobias, et al. “Pentomino Digital - Mit Einer App Geometrie Lernen.”
Mathematik Differenziert, no. 4–2022, 2022, pp. 42–45.
short: T. Huhmann, K. Eilerts, F. Winkelnkemper, Mathematik Differenziert (2022)
42–45.
date_created: 2023-01-23T15:22:27Z
date_updated: 2023-01-24T09:17:10Z
department:
- _id: '67'
issue: 4-2022
keyword:
- ⛔ No DOI found
language:
- iso: eng
page: 42–45
publication: Mathematik differenziert
status: public
title: Pentomino Digital - Mit Einer App Geometrie Lernen
type: journal_article
user_id: '21145'
year: '2022'
...
---
_id: '40510'
abstract:
- lang: eng
text: Decision-making processes are often based on data and data-driven
machine learning methods in different areas such as recommender systems, medicine,
criminalistics, etc. Well-informed citizens need at least a minimal understanding
and critical reflection of corresponding data-driven machine learning methods.
Decision trees are a method that can foster a preformal understanding of machine
learning. We developed an exploratory teaching unit introducing decision trees
in grade 6 along the question “How can Artificial Intelligence help us decide
whether food is rather recommendable or not?” Students’ performances in an assessment
task and self-assessment show that young learners can use a decision tree to classify
new items and that they found the corresponding teaching unit informative.
author:
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Podworny S, Fleischer Y, Hüsing S. Grade 6 Students’ Perception and Use of
Data-Based Decision Trees. In: 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.t2h3'
apa: 'Podworny, S., Fleischer, Y., & Hüsing, S. (2022). Grade 6 Students’ Perception
and Use of Data-Based Decision Trees. Bridging the Gap: Empowering and Educating
Today’s Learners in Statistics. Proceedings of the Eleventh International Conference
on Teaching Statistics. https://doi.org/10.52041/iase.icots11.t2h3'
bibtex: '@inproceedings{Podworny_Fleischer_Hüsing_2022, title={Grade 6 Students’
Perception and Use of Data-Based Decision Trees}, DOI={10.52041/iase.icots11.t2h3},
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={Podworny,
Susanne and Fleischer, Yannik and Hüsing, Sven}, year={2022} }'
chicago: 'Podworny, Susanne, Yannik Fleischer, and Sven Hüsing. “Grade 6 Students’
Perception and Use of Data-Based Decision Trees.” In 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. https://doi.org/10.52041/iase.icots11.t2h3.'
ieee: 'S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and
Use of Data-Based Decision Trees,” 2022, doi: 10.52041/iase.icots11.t2h3.'
mla: 'Podworny, Susanne, et al. “Grade 6 Students’ Perception and Use of Data-Based
Decision Trees.” 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.t2h3.'
short: 'S. Podworny, Y. Fleischer, S. Hüsing, in: 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: 2023-01-27T12:23:45Z
date_updated: 2023-01-27T12:24:33Z
department:
- _id: '67'
doi: 10.52041/iase.icots11.t2h3
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: Grade 6 Students’ Perception and Use of Data-Based Decision Trees
type: conference
user_id: '58465'
year: '2022'
...
---
_id: '30937'
abstract:
- lang: eng
text: Data Science has become an increasingly important aspect of our everyday
lives as we gain a lot of different insights from data analyses, for example in
the context of environmental issues. In order to make the process of data analyses
comprehensible for lower secondary school students, we developed a data analysis
project for computer science classes, focusing on gaining insights from environmental
data by using the concept of epistemic programming. In this article, we report
on the second implementation of this project, which was conducted in a ninth-grade
computer science class. Concretely, we want to examine, how far the students were
able to create computational essays to conduct reproducible data analyses on their
own. In this regard, the computational essays created with the help of the professional
tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
citation:
ama: 'Hüsing S, Podworny S. Computational Essays as an Approach for Reproducible
Data Analysis in lower Secondary School. In: Proceedings of the IASE 2021 Satellite
Conference. International Association for Statistical Education; 2022. doi:10.52041/iase.zwwoh'
apa: Hüsing, S., & Podworny, S. (2022). Computational Essays as an Approach
for Reproducible Data Analysis in lower Secondary School. Proceedings of the
IASE 2021 Satellite Conference. https://doi.org/10.52041/iase.zwwoh
bibtex: '@inproceedings{Hüsing_Podworny_2022, title={Computational Essays as an
Approach for Reproducible Data Analysis in lower Secondary School}, DOI={10.52041/iase.zwwoh},
booktitle={Proceedings of the IASE 2021 Satellite Conference}, publisher={International
Association for Statistical Education}, author={Hüsing, Sven and Podworny, Susanne},
year={2022} }'
chicago: Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach
for Reproducible Data Analysis in Lower Secondary School.” In Proceedings of
the IASE 2021 Satellite Conference. International Association for Statistical
Education, 2022. https://doi.org/10.52041/iase.zwwoh.
ieee: 'S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible
Data Analysis in lower Secondary School,” 2022, doi: 10.52041/iase.zwwoh.'
mla: Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for
Reproducible Data Analysis in Lower Secondary School.” Proceedings of the IASE
2021 Satellite Conference, International Association for Statistical Education,
2022, doi:10.52041/iase.zwwoh.
short: 'S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference,
International Association for Statistical Education, 2022.'
date_created: 2022-04-22T08:30:59Z
date_updated: 2023-01-30T12:10:57Z
department:
- _id: '67'
doi: 10.52041/iase.zwwoh
language:
- iso: eng
main_file_link:
- url: https://iase-web.org/documents/papers/sat2021/IASE2021%20Satellite%20156_HUSING.pdf?1649974216
publication: Proceedings of the IASE 2021 Satellite Conference
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Computational Essays as an Approach for Reproducible Data Analysis in lower
Secondary School
type: conference
user_id: '58465'
year: '2022'
...
---
_id: '31407'
abstract:
- lang: eng
text: Students are not aware and have little understanding of collecting
and processing personal data in their everyday contexts of interaction with data-driven
digital artifacts. To be aware of where, how and why data are collected and processed
is important to be self-determined. Therefore, we develop and evaluate a teaching
sequence to provide reasoning about data as a fundamental aspect of statistical
literacy. This teaching sequences deals with the context of interaction with a
cellular network where location data are collected. Students get real location
data from an unknown person which can be explored with the aim to characterize
the person. Students gain different insights by using different basic filters
and explain how they achieve these. The results of the exploratory study indicate
that students learned to gain insights by exploring given location data and that
these insights may describe the person with detailed aspects that may not necessarily
be true.
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
citation:
ama: 'Höper L, Podworny S, Schulte C, Frischemeier D. Exploration of Location Data:
Real Data in the Context of Interaction with a Cellular Network. In: Proceedings
of the IASE 2021 Satellite Conference. International Association for Statistical
Education; 2022. doi:10.52041/iase.nkppy'
apa: 'Höper, L., Podworny, S., Schulte, C., & Frischemeier, D. (2022). Exploration
of Location Data: Real Data in the Context of Interaction with a Cellular Network.
Proceedings of the IASE 2021 Satellite Conference. https://doi.org/10.52041/iase.nkppy'
bibtex: '@inproceedings{Höper_Podworny_Schulte_Frischemeier_2022, title={Exploration
of Location Data: Real Data in the Context of Interaction with a Cellular Network},
DOI={10.52041/iase.nkppy}, booktitle={Proceedings
of the IASE 2021 Satellite Conference}, publisher={International Association for
Statistical Education}, author={Höper, Lukas and Podworny, Susanne and Schulte,
Carsten and Frischemeier, Daniel}, year={2022} }'
chicago: 'Höper, Lukas, Susanne Podworny, Carsten Schulte, and Daniel Frischemeier.
“Exploration of Location Data: Real Data in the Context of Interaction with a
Cellular Network.” In Proceedings of the IASE 2021 Satellite Conference.
International Association for Statistical Education, 2022. https://doi.org/10.52041/iase.nkppy.'
ieee: 'L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location
Data: Real Data in the Context of Interaction with a Cellular Network,” 2022,
doi: 10.52041/iase.nkppy.'
mla: 'Höper, Lukas, et al. “Exploration of Location Data: Real Data in the Context
of Interaction with a Cellular Network.” Proceedings of the IASE 2021 Satellite
Conference, International Association for Statistical Education, 2022, doi:10.52041/iase.nkppy.'
short: 'L. Höper, S. Podworny, C. Schulte, D. Frischemeier, in: Proceedings of the
IASE 2021 Satellite Conference, International Association for Statistical Education,
2022.'
date_created: 2022-05-23T09:19:37Z
date_updated: 2024-09-16T08:31:25Z
department:
- _id: '67'
doi: 10.52041/iase.nkppy
language:
- iso: eng
publication: Proceedings of the IASE 2021 Satellite Conference
publication_status: published
publisher: International Association for Statistical Education
quality_controlled: '1'
status: public
title: 'Exploration of Location Data: Real Data in the Context of Interaction with
a Cellular Network'
type: conference
user_id: '58041'
year: '2022'
...
---
_id: '25521'
citation:
ama: 'Schulte C, A. Becker B, Divitini M, Barendsen E, eds. ITiCSE 2021: 26th
ACM Conference on Innovation and Technology in Computer Science Education, Virtual
Event, Germany, June 26 - July 1, 2021 - Working Group Reports. ACM; 2021.
doi:10.1145/3456565'
apa: 'Schulte, C., A. Becker, B., Divitini, M., & Barendsen, E. (Eds.). (2021).
ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science
Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports.
ACM. https://doi.org/10.1145/3456565'
bibtex: '@book{Schulte_A. Becker_Divitini_Barendsen_2021, title={ITiCSE 2021: 26th
ACM Conference on Innovation and Technology in Computer Science Education, Virtual
Event, Germany, June 26 - July 1, 2021 - Working Group Reports}, DOI={10.1145/3456565},
publisher={ACM}, year={2021} }'
chicago: 'Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik Barendsen,
eds. ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group
Reports. ACM, 2021. https://doi.org/10.1145/3456565.'
ieee: 'C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., ITiCSE
2021: 26th ACM Conference on Innovation and Technology in Computer Science Education,
Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports. ACM,
2021.'
mla: 'Schulte, Carsten, et al., editors. ITiCSE 2021: 26th ACM Conference on
Innovation and Technology in Computer Science Education, Virtual Event, Germany,
June 26 - July 1, 2021 - Working Group Reports. ACM, 2021, doi:10.1145/3456565.'
short: 'C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021:
26th ACM Conference on Innovation and Technology in Computer Science Education,
Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports, ACM, 2021.'
date_created: 2021-10-05T13:59:52Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3456565
editor:
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Brett
full_name: A. Becker, Brett
last_name: A. Becker
- first_name: Monica
full_name: Divitini, Monica
last_name: Divitini
- first_name: Erik
full_name: Barendsen, Erik
last_name: Barendsen
language:
- iso: eng
publication_identifier:
isbn:
- 978-1-4503-8397-4
publisher: ACM
status: public
title: 'ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group
Reports'
type: conference_editor
user_id: '21145'
year: '2021'
...
---
_id: '25522'
citation:
ama: 'Schulte C, A. Becker B, Divitini M, Barendsen E, eds. ITiCSE 2021: 26th
ACM Conference on Innovation and Technology in Computer Science Education, Virtual
Event, Germany, June 26 - July 1, 2021. ACM; 2021. doi:10.1145/3430665'
apa: 'Schulte, C., A. Becker, B., Divitini, M., & Barendsen, E. (Eds.). (2021).
ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science
Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM. https://doi.org/10.1145/3430665'
bibtex: '@book{Schulte_A. Becker_Divitini_Barendsen_2021, title={ITiCSE 2021: 26th
ACM Conference on Innovation and Technology in Computer Science Education, Virtual
Event, Germany, June 26 - July 1, 2021}, DOI={10.1145/3430665},
publisher={ACM}, year={2021} }'
chicago: 'Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik Barendsen,
eds. ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
Science Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM, 2021.
https://doi.org/10.1145/3430665.'
ieee: 'C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., ITiCSE
2021: 26th ACM Conference on Innovation and Technology in Computer Science Education,
Virtual Event, Germany, June 26 - July 1, 2021. ACM, 2021.'
mla: 'Schulte, Carsten, et al., editors. ITiCSE 2021: 26th ACM Conference on
Innovation and Technology in Computer Science Education, Virtual Event, Germany,
June 26 - July 1, 2021. ACM, 2021, doi:10.1145/3430665.'
short: 'C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021:
26th ACM Conference on Innovation and Technology in Computer Science Education,
Virtual Event, Germany, June 26 - July 1, 2021, ACM, 2021.'
date_created: 2021-10-05T14:02:09Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3430665
editor:
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Brett
full_name: A. Becker, Brett
last_name: A. Becker
- first_name: Monica
full_name: Divitini, Monica
last_name: Divitini
- first_name: Erik
full_name: Barendsen, Erik
last_name: Barendsen
language:
- iso: eng
publication_identifier:
isbn:
- 978-1-4503-8214-4
publisher: ACM
status: public
title: 'ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
Science Education, Virtual Event, Germany, June 26 - July 1, 2021'
type: conference_editor
user_id: '21145'
year: '2021'
...
---
_id: '25525'
author:
- first_name: Gregor
full_name: Große-Bölting, Gregor
last_name: Große-Bölting
- first_name: Dietrich Karl-Heinz
full_name: Gerstenberger, Dietrich Karl-Heinz
id: '65294'
last_name: Gerstenberger
- first_name: Lara
full_name: Gildehaus, Lara
last_name: Gildehaus
- first_name: Andreas
full_name: Mühling, Andreas
last_name: Mühling
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Große-Bölting G, Gerstenberger DK-H, Gildehaus L, Mühling A, Schulte C. Identity
in K-12 Computer Education Research: A Systematic Literature Review. In: J. Ko
A, Vahrenhold J, McCauley R, Hauswirth M, eds. ICER 2021: ACM Conference on
International Computing Education Research, Virtual Event, USA, August 16-19,
2021. ACM; 2021:169-183. doi:10.1145/3446871.3469757'
apa: 'Große-Bölting, G., Gerstenberger, D. K.-H., Gildehaus, L., Mühling, A., &
Schulte, C. (2021). Identity in K-12 Computer Education Research: A Systematic
Literature Review. In A. J. Ko, J. Vahrenhold, R. McCauley, & M. Hauswirth
(Eds.), ICER 2021: ACM Conference on International Computing Education Research,
Virtual Event, USA, August 16-19, 2021 (pp. 169–183). ACM. https://doi.org/10.1145/3446871.3469757'
bibtex: '@inproceedings{Große-Bölting_Gerstenberger_Gildehaus_Mühling_Schulte_2021,
title={Identity in K-12 Computer Education Research: A Systematic Literature Review},
DOI={10.1145/3446871.3469757},
booktitle={ICER 2021: ACM Conference on International Computing Education Research,
Virtual Event, USA, August 16-19, 2021}, publisher={ACM}, author={Große-Bölting,
Gregor and Gerstenberger, Dietrich Karl-Heinz and Gildehaus, Lara and Mühling,
Andreas and Schulte, Carsten}, editor={J. Ko, Amy and Vahrenhold, Jan and McCauley,
René and Hauswirth, Matthias}, year={2021}, pages={169–183} }'
chicago: 'Große-Bölting, Gregor, Dietrich Karl-Heinz Gerstenberger, Lara Gildehaus,
Andreas Mühling, and Carsten Schulte. “Identity in K-12 Computer Education Research:
A Systematic Literature Review.” In ICER 2021: ACM Conference on International
Computing Education Research, Virtual Event, USA, August 16-19, 2021, edited
by Amy J. Ko, Jan Vahrenhold, René McCauley, and Matthias Hauswirth, 169–83. ACM,
2021. https://doi.org/10.1145/3446871.3469757.'
ieee: 'G. Große-Bölting, D. K.-H. Gerstenberger, L. Gildehaus, A. Mühling, and C.
Schulte, “Identity in K-12 Computer Education Research: A Systematic Literature
Review,” in ICER 2021: ACM Conference on International Computing Education
Research, Virtual Event, USA, August 16-19, 2021, 2021, pp. 169–183, doi:
10.1145/3446871.3469757.'
mla: 'Große-Bölting, Gregor, et al. “Identity in K-12 Computer Education Research:
A Systematic Literature Review.” ICER 2021: ACM Conference on International
Computing Education Research, Virtual Event, USA, August 16-19, 2021, edited
by Amy J. Ko et al., ACM, 2021, pp. 169–83, doi:10.1145/3446871.3469757.'
short: 'G. Große-Bölting, D.K.-H. Gerstenberger, L. Gildehaus, A. Mühling, C. Schulte,
in: A. J. Ko, J. Vahrenhold, R. McCauley, M. Hauswirth (Eds.), ICER 2021: ACM
Conference on International Computing Education Research, Virtual Event, USA,
August 16-19, 2021, ACM, 2021, pp. 169–183.'
date_created: 2021-10-05T14:09:27Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3446871.3469757
editor:
- first_name: Amy
full_name: J. Ko, Amy
last_name: J. Ko
- first_name: Jan
full_name: Vahrenhold, Jan
last_name: Vahrenhold
- first_name: René
full_name: McCauley, René
last_name: McCauley
- first_name: Matthias
full_name: Hauswirth, Matthias
last_name: Hauswirth
language:
- iso: eng
page: 169-183
publication: 'ICER 2021: ACM Conference on International Computing Education Research,
Virtual Event, USA, August 16-19, 2021'
publisher: ACM
status: public
title: 'Identity in K-12 Computer Education Research: A Systematic Literature Review'
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '25527'
author:
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Brett
full_name: A. Becker, Brett
last_name: A. Becker
citation:
ama: Schulte C, A. Becker B. ITiCSE 2021 recap. ACM SIGCSE Bull. 2021;53(3):3-4.
doi:10.1145/3483403.3483405
apa: Schulte, C., & A. Becker, B. (2021). ITiCSE 2021 recap. ACM SIGCSE Bull.,
53(3), 3–4. https://doi.org/10.1145/3483403.3483405
bibtex: '@article{Schulte_A. Becker_2021, title={ITiCSE 2021 recap}, volume={53},
DOI={10.1145/3483403.3483405},
number={3}, journal={ACM SIGCSE Bull.}, author={Schulte, Carsten and A. Becker,
Brett}, year={2021}, pages={3–4} }'
chicago: 'Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” ACM SIGCSE
Bull. 53, no. 3 (2021): 3–4. https://doi.org/10.1145/3483403.3483405.'
ieee: 'C. Schulte and B. A. Becker, “ITiCSE 2021 recap,” ACM SIGCSE Bull.,
vol. 53, no. 3, pp. 3–4, 2021, doi: 10.1145/3483403.3483405.'
mla: Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” ACM SIGCSE Bull.,
vol. 53, no. 3, 2021, pp. 3–4, doi:10.1145/3483403.3483405.
short: C. Schulte, B. A. Becker, ACM SIGCSE Bull. 53 (2021) 3–4.
date_created: 2021-10-05T14:18:48Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3483403.3483405
intvolume: ' 53'
issue: '3'
language:
- iso: eng
page: 3-4
publication: ACM SIGCSE Bull.
status: public
title: ITiCSE 2021 recap
type: journal_article
user_id: '21145'
volume: 53
year: '2021'
...
---
_id: '27494'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Hüsing S. Epistemic Programming - An insight-driven programming concept for
Data Science. In: Seppälä O, Petersen A, eds. Koli Calling ’21: 21st Koli Calling
International Conference on Computing Education Research, Joensuu, Finland, November
18 - 21, 2021. ACM; 2021:42:1-42:3. doi:10.1145/3488042.3490510'
apa: 'Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept
for Data Science. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21:
21st Koli Calling International Conference on Computing Education Research, Joensuu,
Finland, November 18 - 21, 2021 (p. 42:1-42:3). ACM. https://doi.org/10.1145/3488042.3490510'
bibtex: '@inproceedings{Hüsing_2021, title={Epistemic Programming - An insight-driven
programming concept for Data Science}, DOI={10.1145/3488042.3490510},
booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM},
author={Hüsing, Sven}, editor={Seppälä, Otto and Petersen, Andrew}, year={2021},
pages={42:1-42:3} }'
chicago: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” In Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
edited by Otto Seppälä and Andrew Petersen, 42:1-42:3. ACM, 2021. https://doi.org/10.1145/3488042.3490510.'
ieee: 'S. Hüsing, “Epistemic Programming - An insight-driven programming concept
for Data Science,” in Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
2021, p. 42:1-42:3, doi: 10.1145/3488042.3490510.'
mla: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” Koli Calling ’21: 21st Koli Calling International Conference
on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021,
edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510.'
short: 'S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli
Calling International Conference on Computing Education Research, Joensuu, Finland,
November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.'
date_created: 2021-11-16T08:15:11Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.1145/3488042.3490510
editor:
- first_name: Otto
full_name: Seppälä, Otto
last_name: Seppälä
- first_name: Andrew
full_name: Petersen, Andrew
last_name: Petersen
language:
- iso: eng
page: 42:1-42:3
publication: 'Koli Calling ''21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021'
publisher: ACM
status: public
title: Epistemic Programming - An insight-driven programming concept for Data Science
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '27495'
author:
- first_name: Klaus
full_name: Bovermann, Klaus
last_name: Bovermann
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Christian
full_name: Opitz, Christian
last_name: Opitz
citation:
ama: 'Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles
Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am
Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert
L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319.
doi:10.18420/infos2021\_w283'
apa: 'Bovermann, K., Fleischer, Y., Hüsing, S., & Opitz, C. (2021). Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS
2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 319). Gesellschaft
für Informatik, Bonn. https://doi.org/10.18420/infos2021\_w283'
bibtex: '@inproceedings{Bovermann_Fleischer_Hüsing_Opitz_2021, series={LNI}, title={Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen}, volume={P-313}, DOI={10.18420/infos2021\_w283},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Bovermann,
Klaus and Fleischer, Yannik and Hüsing, Sven and Opitz, Christian}, editor={Humbert,
Ludger}, year={2021}, pages={319}, collection={LNI} }'
chicago: Bovermann, Klaus, Yannik Fleischer, Sven Hüsing, and Christian Opitz. “Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen.” In 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal,
Germany, September 8-10, 2021, edited by Ludger Humbert, P-313:319. LNI. Gesellschaft
für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_w283.
ieee: 'K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz
und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks
und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,”
in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021, 2021, vol. P-313, p. 319, doi: 10.18420/infos2021\_w283.'
mla: Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im
Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von
Entscheidungsbäumen und künstlichen neuronalen Netzen.” 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by
Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:10.18420/infos2021\_w283.
short: 'K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19.
GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September
8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.'
date_created: 2021-11-16T08:16:32Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.18420/infos2021\_w283
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: '319'
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publisher: Gesellschaft für Informatik, Bonn
series_title: LNI
status: public
title: Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der
Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und
künstlichen neuronalen Netzen
type: conference
user_id: '21145'
volume: P-313
year: '2021'
...
---
_id: '29707'
author:
- first_name: Dominik
full_name: Bechinie, Dominik
last_name: Bechinie
- first_name: Katja
full_name: Eilerts, Katja
last_name: Eilerts
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Michael
full_name: Lenke, Michael
last_name: Lenke
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
citation:
ama: 'Bechinie D, Eilerts K, Huhmann T, Lenke M, Schulte C, Winkelnkemper F. Geometrielernen
digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels
adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern. In: Beiträge
zum Mathematikunterricht 2021. WTM Verlag, Münster; 2021.'
apa: Bechinie, D., Eilerts, K., Huhmann, T., Lenke, M., Schulte, C., & Winkelnkemper,
F. (2021). Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern.
Beiträge zum Mathematikunterricht 2021.
bibtex: '@inproceedings{Bechinie_Eilerts_Huhmann_Lenke_Schulte_Winkelnkemper_2021,
title={Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern},
booktitle={Beiträge zum Mathematikunterricht 2021}, publisher={WTM Verlag, Münster},
author={Bechinie, Dominik and Eilerts, Katja and Huhmann, Tobias and Lenke, Michael
and Schulte, Carsten and Winkelnkemper, Felix}, year={2021} }'
chicago: Bechinie, Dominik, Katja Eilerts, Tobias Huhmann, Michael Lenke, Carsten
Schulte, and Felix Winkelnkemper. “Geometrielernen digital unterstützen - Räumliche
Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten
fördern.” In Beiträge zum Mathematikunterricht 2021. WTM Verlag, Münster,
2021.
ieee: D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, and F. Winkelnkemper,
“Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern,”
2021.
mla: Bechinie, Dominik, et al. “Geometrielernen digital unterstützen - Räumliche
Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten
fördern.” Beiträge zum Mathematikunterricht 2021, WTM Verlag, Münster,
2021.
short: 'D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, F. Winkelnkemper,
in: Beiträge zum Mathematikunterricht 2021, WTM Verlag, Münster, 2021.'
date_created: 2022-01-31T13:17:46Z
date_updated: 2022-01-31T13:24:00Z
department:
- _id: '67'
language:
- iso: ger
publication: Beiträge zum Mathematikunterricht 2021
publisher: WTM Verlag, Münster
status: public
title: Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '29708'
author:
- first_name: Dietrich Karl-Heinz
full_name: Gerstenberger, Dietrich Karl-Heinz
id: '65294'
last_name: Gerstenberger
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: Gerstenberger DK-H, Winkelnkemper F, Schulte C. Nutzung der Personas-Methode
zum Umgang mit der Heterogenität von Informatik-Studierenden. 9 Fachtagung
Hochschuldidaktik Informatik (HDI). Published online 2021:49.
apa: Gerstenberger, D. K.-H., Winkelnkemper, F., & Schulte, C. (2021). Nutzung
der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.
9. Fachtagung Hochschuldidaktik Informatik (HDI), 49.
bibtex: '@article{Gerstenberger_Winkelnkemper_Schulte_2021, title={Nutzung der Personas-Methode
zum Umgang mit der Heterogenität von Informatik-Studierenden}, journal={9. Fachtagung
Hochschuldidaktik Informatik (HDI)}, author={Gerstenberger, Dietrich Karl-Heinz
and Winkelnkemper, Felix and Schulte, Carsten}, year={2021}, pages={49} }'
chicago: Gerstenberger, Dietrich Karl-Heinz, Felix Winkelnkemper, and Carsten Schulte.
“Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.”
9. Fachtagung Hochschuldidaktik Informatik (HDI), 2021, 49.
ieee: D. K.-H. Gerstenberger, F. Winkelnkemper, and C. Schulte, “Nutzung der Personas-Methode
zum Umgang mit der Heterogenität von Informatik-Studierenden,” 9. Fachtagung
Hochschuldidaktik Informatik (HDI), p. 49, 2021.
mla: Gerstenberger, Dietrich Karl-Heinz, et al. “Nutzung der Personas-Methode zum
Umgang mit der Heterogenität von Informatik-Studierenden.” 9. Fachtagung Hochschuldidaktik
Informatik (HDI), 2021, p. 49.
short: D.K.-H. Gerstenberger, F. Winkelnkemper, C. Schulte, 9. Fachtagung Hochschuldidaktik
Informatik (HDI) (2021) 49.
date_created: 2022-01-31T13:24:28Z
date_updated: 2022-01-31T13:26:22Z
department:
- _id: '67'
language:
- iso: ger
page: '49'
publication: 9. Fachtagung Hochschuldidaktik Informatik (HDI)
status: public
title: Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden
type: journal_article
user_id: '21145'
year: '2021'
...