---
_id: '63606'
abstract:
- lang: ger
text: 'Heutzutage sind datengetriebene digitale Artefakte aus unserem Alltag nicht
mehr wegzudenken. Bei der Interaktion mit datengetriebenen Artefakten spielen
Daten eine zentrale Rolle, unter anderem persönliche Daten von Schüler:innen,
die solche Systeme nutzen. Aus der Perspektive informatischer Bildung besteht
ein wichtiges Ziel darin, Schüler:innen zu befähigen, datengetriebene digitale
Artefakte aus ihrem Alltag zu verstehen, denen gegenüber informierte und reflektierte
Positionen einzunehmen und die digitale Welt aktiv mitzugestalten. Das setzt etwa
voraus, dass Schüler:innen das Gelernte aus dem Informatikunterricht in ihren
alltäglichen Interaktionen mit datengetriebenen digitalen Artefakten anwenden
können, um sich mit diesen Artefakten und der Rolle von Daten auseinanderzusetzen
und darauf aufbauend selbstbestimmt, mündig und verantwortungsvoll zu handeln.
Für diese Ziele informatischer Bildung wird in dieser Arbeit das fachdidaktische
Konzept Datenbewusstsein entwickelt und evaluiert. Datenbewusstsein stellt Schüler:innen
ein sogenanntes Erklärmodell als Zugang zur datengetriebenen Welt bereit und zielt
darauf ab, dass sie damit ihre eigene Rolle in Interaktionen mit datengetriebenen
digitales Artefakten sowie die Rolle von Daten darin wahrnehmen, verstehen und
reflektieren können. Dadurch soll Datenbewusstsein zu einer selbstbestimmten,
mündigen und verantwortungsvollen Handlungsfähigkeit in einer datengetriebenen
Welt beitragen. Die Entwicklung und Evaluation des Konzepts orientiert sich am
Design-Based Research Ansatz, wofür aus informatikdidaktischer Perspektive ein
eigenes Vorgehensmodell entwickelt wurde. Das Forschungsvorhaben hat zwei übergeordnete
Ziele: Erstens soll eine theoretische Konzeption von Datenbewusstsein für informatische
Bildung und zweitens ein didaktischer Ansatz zur Förderung von Datenbewusstsein
entwickelt werden. In drei Zyklen wird die Förderung von Datenbewusstsein im Informatikunterricht
mithilfe von Unterrichtsinterventionen empirisch untersucht. Schwerpunkte liegen
dabei unter anderem auf dem Verständnis der Schüler:innen von der Rolle von Daten
in datengetriebenen digitalen Artefakten, der Förderung ihrer Auseinandersetzung
mit solchen digitalen Artefakten im Alltag sowie dem Beitrag zur Entwicklung ihrer
Handlungsfähigkeit. Die Hauptergebnisse dieser Arbeit liegen in der Konzeption
von Datenbewusstsein sowie im entwickelten didaktischen Ansatz zum Lernen von
Erklärmodellen im Informatikunterricht. Danach lernen Schüler:innen im Unterricht
ein Erklärmodell für Datenbewusstsein und wenden es auf alltägliche Beispiele
für datengetriebene digitale Artefakte an. Die empirischen Ergebnisse werden zeigen,
dass Schüler:innen das Erklärmodell verstehen, sie darin eine subjektive Bedeutsamkeit
für ihren Alltag erkennen und es ihre Handlungsfähigkeit in alltäglichen Situationen
mit datengetriebenen digitalen Artefakten fördern kann.'
- lang: eng
text: 'Nowadays, data-driven digital artefacts have become an integral part of our
everyday lives. In interactions with such artefacts, data plays a central role,
including personal data of students who use these systems, for example. From the
perspective of computing education, a key goal is to enable students to understand
data-driven digital artefacts from their everyday lives, to adopt informed and
reflected positions towards them, and to actively shape the digital world. This,
in turn, requires that students are able to apply what they have learned in classes
to their everyday interactions with data-driven digital artefacts, allowing them
to engage critically with these artefacts and the role of data, and to act in
a self-determined, agentic, and responsible way. In line with these goals of computing
education, this dissertation develops and evaluates the data awareness framework
(Datenbewusstsein). Data awareness provides students with an explanatory model
that serves as a means of accessing the data-driven world, aiming to help them
perceive, understand, and reflect on both their own role in interactions with
data-driven digital artefacts and the role of data in those interactions. In doing
so, data awareness aims to support students in acting in a self-determined, agentic,
and responsible way in a data-driven world. The development and evaluation of
the framework follows a design-based research approach, for which a specific procedural
model was developed from a computing education perspective. The dissertation has
two overarching goals: first, to develop a theoretical framework for data awareness
in computing education, and second, to develop an educational approach for fostering
students'' data awareness. Over three iterative cycles, students'' data awareness
will be empirically examined through teaching units in computing classes. The
focus lies, among other things, on students'' understanding of the role of data
in data-driven digital artefacts, on fostering their engagement with such artefacts
in everyday life, and on contributing to the development of their agency and empowered
behaviour. Two main outcomes of this dissertation are the conceptualisation of
data awareness and the development of the educational approach to learning explanatory
models in computing education. Accordingly, students learn an explanatory model
for data awareness in teaching units and apply it to everyday examples of data-driven
digital artefacts. The empirical findings will show that students understand the
model, perceive it as subjectively relevant to their everyday lives, and that
it can support empowered behaviour and agency.'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
citation:
ama: Höper L. Entwicklung Und Evaluation Des Konzepts Datenbewusstsein Für Informatische
Bildung.; 2025. doi:https://doi.org/10.17619/UNIPB/1-2420
apa: Höper, L. (2025). Entwicklung und Evaluation des Konzepts Datenbewusstsein
für informatische Bildung. https://doi.org/10.17619/UNIPB/1-2420
bibtex: '@book{Höper_2025, title={Entwicklung und Evaluation des Konzepts Datenbewusstsein
für informatische Bildung}, DOI={https://doi.org/10.17619/UNIPB/1-2420},
author={Höper, Lukas}, year={2025} }'
chicago: Höper, Lukas. Entwicklung Und Evaluation Des Konzepts Datenbewusstsein
Für Informatische Bildung, 2025. https://doi.org/10.17619/UNIPB/1-2420.
ieee: L. Höper, Entwicklung und Evaluation des Konzepts Datenbewusstsein für
informatische Bildung. 2025.
mla: Höper, Lukas. Entwicklung Und Evaluation Des Konzepts Datenbewusstsein Für
Informatische Bildung. 2025, doi:https://doi.org/10.17619/UNIPB/1-2420.
short: L. Höper, Entwicklung Und Evaluation Des Konzepts Datenbewusstsein Für Informatische
Bildung, 2025.
date_created: 2026-01-14T08:09:20Z
date_updated: 2026-01-14T08:13:30Z
department:
- _id: '67'
doi: https://doi.org/10.17619/UNIPB/1-2420
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/8100043
oa: '1'
status: public
title: Entwicklung und Evaluation des Konzepts Datenbewusstsein für informatische
Bildung
type: dissertation
user_id: '58041'
year: '2025'
...
---
_id: '60508'
author:
- 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: Höper L, Schulte C. ReVEAL model and its application to revealing viewpoints
on educational approaches to learning about data and AI. Computer Science Education.
Published online 2025:1-33. doi:10.1080/08993408.2025.2516957
apa: Höper, L., & Schulte, C. (2025). ReVEAL model and its application to revealing
viewpoints on educational approaches to learning about data and AI. Computer
Science Education, 1–33. https://doi.org/10.1080/08993408.2025.2516957
bibtex: '@article{Höper_Schulte_2025, title={ReVEAL model and its application to
revealing viewpoints on educational approaches to learning about data and AI},
DOI={10.1080/08993408.2025.2516957},
journal={Computer Science Education}, publisher={Informa UK Limited}, author={Höper,
Lukas and Schulte, Carsten}, year={2025}, pages={1–33} }'
chicago: Höper, Lukas, and Carsten Schulte. “ReVEAL Model and Its Application to
Revealing Viewpoints on Educational Approaches to Learning about Data and AI.”
Computer Science Education, 2025, 1–33. https://doi.org/10.1080/08993408.2025.2516957.
ieee: 'L. Höper and C. Schulte, “ReVEAL model and its application to revealing viewpoints
on educational approaches to learning about data and AI,” Computer Science
Education, pp. 1–33, 2025, doi: 10.1080/08993408.2025.2516957.'
mla: Höper, Lukas, and Carsten Schulte. “ReVEAL Model and Its Application to Revealing
Viewpoints on Educational Approaches to Learning about Data and AI.” Computer
Science Education, Informa UK Limited, 2025, pp. 1–33, doi:10.1080/08993408.2025.2516957.
short: L. Höper, C. Schulte, Computer Science Education (2025) 1–33.
date_created: 2025-07-03T15:26:53Z
date_updated: 2025-07-03T15:28:06Z
department:
- _id: '67'
doi: 10.1080/08993408.2025.2516957
language:
- iso: eng
page: 1-33
publication: Computer Science Education
publication_identifier:
issn:
- 0899-3408
- 1744-5175
publication_status: published
publisher: Informa UK Limited
status: public
title: ReVEAL model and its application to revealing viewpoints on educational approaches
to learning about data and AI
type: journal_article
user_id: '58041'
year: '2025'
...
---
_id: '56476'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Christoph
full_name: Benzmüller, Christoph
last_name: Benzmüller
citation:
ama: 'Höper L, Schulte C, Benzmüller C. Verantwortung. In: Furbach U, Kitzelmann
E, Michaeli T, Schmid U, eds. Künstliche Intelligenz für Lehrkräfte. Springer
Fachmedien Wiesbaden; 2024. doi:10.1007/978-3-658-44248-4_16'
apa: Höper, L., Schulte, C., & Benzmüller, C. (2024). Verantwortung. In U. Furbach,
E. Kitzelmann, T. Michaeli, & U. Schmid (Eds.), Künstliche Intelligenz
für Lehrkräfte. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-44248-4_16
bibtex: '@inbook{Höper_Schulte_Benzmüller_2024, place={Wiesbaden}, title={Verantwortung},
DOI={10.1007/978-3-658-44248-4_16},
booktitle={Künstliche Intelligenz für Lehrkräfte}, publisher={Springer Fachmedien
Wiesbaden}, author={Höper, Lukas and Schulte, Carsten and Benzmüller, Christoph},
editor={Furbach, Ulrich and Kitzelmann, Emanuel and Michaeli, Tilman and Schmid,
Ute}, year={2024} }'
chicago: 'Höper, Lukas, Carsten Schulte, and Christoph Benzmüller. “Verantwortung.”
In Künstliche Intelligenz für Lehrkräfte, edited by Ulrich Furbach, Emanuel
Kitzelmann, Tilman Michaeli, and Ute Schmid. Wiesbaden: Springer Fachmedien Wiesbaden,
2024. https://doi.org/10.1007/978-3-658-44248-4_16.'
ieee: 'L. Höper, C. Schulte, and C. Benzmüller, “Verantwortung,” in Künstliche
Intelligenz für Lehrkräfte, U. Furbach, E. Kitzelmann, T. Michaeli, and U.
Schmid, Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2024.'
mla: Höper, Lukas, et al. “Verantwortung.” Künstliche Intelligenz für Lehrkräfte,
edited by Ulrich Furbach et al., Springer Fachmedien Wiesbaden, 2024, doi:10.1007/978-3-658-44248-4_16.
short: 'L. Höper, C. Schulte, C. Benzmüller, in: U. Furbach, E. Kitzelmann, T. Michaeli,
U. Schmid (Eds.), Künstliche Intelligenz für Lehrkräfte, Springer Fachmedien Wiesbaden,
Wiesbaden, 2024.'
date_created: 2024-10-09T13:52:21Z
date_updated: 2024-10-09T13:54:11Z
department:
- _id: '67'
doi: 10.1007/978-3-658-44248-4_16
editor:
- first_name: Ulrich
full_name: Furbach, Ulrich
last_name: Furbach
- first_name: Emanuel
full_name: Kitzelmann, Emanuel
last_name: Kitzelmann
- first_name: Tilman
full_name: Michaeli, Tilman
last_name: Michaeli
- first_name: Ute
full_name: Schmid, Ute
last_name: Schmid
language:
- iso: ger
place: Wiesbaden
publication: Künstliche Intelligenz für Lehrkräfte
publication_identifier:
isbn:
- '9783658442477'
- '9783658442484'
issn:
- 2662-5970
- 2662-5989
publication_status: published
publisher: Springer Fachmedien Wiesbaden
status: public
title: Verantwortung
type: book_chapter
user_id: '58041'
year: '2024'
...
---
_id: '49655'
abstract:
- lang: eng
text: In today's digital world, data-driven digital artefacts pose challenges for
education, as many students lack an understanding of data and feel powerless when
interacting with them. This article addresses these challenges and introduces
the data awareness framework. It focuses on understanding data-driven technologies
and reflecting on the role of data in everyday life. The paper also presents an
empirical study on young school students' data awareness. The study involves a
teaching unit on data awareness framed by a pretest-posttest design using a questionnaire
on students' awareness and understanding of and reflection on data practices of
data-driven digital artefacts. The study's findings indicate that the data awareness
framework supports students in understanding data practices of data-driven digital
artefacts. The findings also suggest that the framework encourages students to
reflect on these data practices and think about their daily behaviour. Students
learn a model about interactions with data-driven digital artefacts and use it
to analyse data-driven applications. This approach appears to enable students
to understand these artefacts from everyday life and reflect on these interactions.
The work contributes to research on data and AI literacies and suggests a way
to support students in developing self-determination and agency during interactions
with data-driven digital artefacts.
article_type: original
author:
- 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: Höper L, Schulte C. The data awareness framework as part of data literacies
in K-12 education. Information and Learning Sciences. 2024;125(7/8):491-512.
doi:10.1108/ils-06-2023-0075
apa: Höper, L., & Schulte, C. (2024). The data awareness framework as part of
data literacies in K-12 education. Information and Learning Sciences, 125(7/8),
491–512. https://doi.org/10.1108/ils-06-2023-0075
bibtex: '@article{Höper_Schulte_2024, title={The data awareness framework as part
of data literacies in K-12 education}, volume={125}, DOI={10.1108/ils-06-2023-0075},
number={7/8}, journal={Information and Learning Sciences}, publisher={Emerald},
author={Höper, Lukas and Schulte, Carsten}, year={2024}, pages={491–512} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “The Data Awareness Framework as Part
of Data Literacies in K-12 Education.” Information and Learning Sciences
125, no. 7/8 (2024): 491–512. https://doi.org/10.1108/ils-06-2023-0075.'
ieee: 'L. Höper and C. Schulte, “The data awareness framework as part of data literacies
in K-12 education,” Information and Learning Sciences, vol. 125, no. 7/8,
pp. 491–512, 2024, doi: 10.1108/ils-06-2023-0075.'
mla: Höper, Lukas, and Carsten Schulte. “The Data Awareness Framework as Part of
Data Literacies in K-12 Education.” Information and Learning Sciences,
vol. 125, no. 7/8, Emerald, 2024, pp. 491–512, doi:10.1108/ils-06-2023-0075.
short: L. Höper, C. Schulte, Information and Learning Sciences 125 (2024) 491–512.
date_created: 2023-12-15T07:41:04Z
date_updated: 2024-10-11T12:01:06Z
ddc:
- '370'
department:
- _id: '67'
doi: 10.1108/ils-06-2023-0075
file:
- access_level: open_access
content_type: application/pdf
creator: hoeper
date_created: 2024-10-11T11:59:50Z
date_updated: 2024-10-11T12:01:05Z
file_id: '56597'
file_name: Höper und Schulte - Data Awareness Framework as part of Data Literacies
- ILS - AAM version.pdf
file_size: 981234
relation: main_file
file_date_updated: 2024-10-11T12:01:05Z
has_accepted_license: '1'
intvolume: ' 125'
issue: 7/8
keyword:
- Library and Information Sciences
- Computer Science Applications
- Education
language:
- iso: eng
oa: '1'
page: 491-512
publication: Information and Learning Sciences
publication_identifier:
issn:
- 2398-5348
- 2398-5348
publication_status: published
publisher: Emerald
quality_controlled: '1'
status: public
title: The data awareness framework as part of data literacies in K-12 education
type: journal_article
user_id: '58041'
volume: 125
year: '2024'
...
---
_id: '53622'
abstract:
- lang: eng
text: In K-12 computing education, there is a need to identify and teach
concepts that are relevant to understanding machine learning technologies. Studies
of teaching approaches often evaluate whether students have learned the concepts.
However, scant research has examined whether such concepts support understanding
digital artefacts from everyday life and developing agency in a digital world.
This paper presents a qualitative study that explores students’ perspectives on
the relevance of learning concepts of data-driven technologies for navigating
the digital world. The underlying approach of the study is data awareness, which
aims to support students in understanding and reflecting on such technologies
to develop agency in a data-driven world. This approach teaches students an explanatory
model encompassing several concepts of the role of data in data-driven technologies.
We developed an intervention and conducted retrospective interviews with students.
Findings from the analysis of the interviews indicate that students can analyse
and understand data-driven technologies from their everyday lives according to
the central role of data. In addition, students’ answers revealed four areas of
how learning about data-driven technologies becomes relevant to them. The paper
concludes with a preliminary model suggesting how computing education can make
concepts of data-driven technologies meaningful for students to understand and
navigate the digital world.
author:
- 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: 'Höper L, Schulte C. Empowering Students for the Data-Driven World: A Qualitative
Study of the Relevance of Learning about Data-Driven Technologies. Informatics
in Education. Published online 2024. doi:10.15388/infedu.2024.19'
apa: 'Höper, L., & Schulte, C. (2024). Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.
Informatics in Education. https://doi.org/10.15388/infedu.2024.19'
bibtex: '@article{Höper_Schulte_2024, title={Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies},
DOI={10.15388/infedu.2024.19},
journal={Informatics in Education}, publisher={Vilnius University Press}, author={Höper,
Lukas and Schulte, Carsten}, year={2024} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.”
Informatics in Education, 2024. https://doi.org/10.15388/infedu.2024.19.'
ieee: 'L. Höper and C. Schulte, “Empowering Students for the Data-Driven World:
A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,”
Informatics in Education, 2024, doi: 10.15388/infedu.2024.19.'
mla: 'Höper, Lukas, and Carsten Schulte. “Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.”
Informatics in Education, Vilnius University Press, 2024, doi:10.15388/infedu.2024.19.'
short: L. Höper, C. Schulte, Informatics in Education (2024).
date_created: 2024-04-23T09:26:08Z
date_updated: 2024-11-19T07:24:30Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.15388/infedu.2024.19
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:24:14Z
date_updated: 2024-11-19T07:24:14Z
file_id: '57214'
file_name: infedu.2024.19.pdf
file_size: 2343612
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:24:14Z
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/784/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: 'Empowering Students for the Data-Driven World: A Qualitative Study of the
Relevance of Learning about Data-Driven Technologies'
type: journal_article
user_id: '58041'
year: '2024'
...
---
_id: '57209'
author:
- 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: 'Höper L, Schulte C. New Perspectives on the Future of Computing Education:
Teaching and Learning Explanatory Models. In: Proceedings of the 24th Koli
Calling International Conference on Computing Education Research. ACM; 2024.
doi:10.1145/3699538.3699558'
apa: 'Höper, L., & Schulte, C. (2024). New Perspectives on the Future of Computing
Education: Teaching and Learning Explanatory Models. Proceedings of the 24th
Koli Calling International Conference on Computing Education Research. Koli
Calling ’24, Koli, Finnland. https://doi.org/10.1145/3699538.3699558'
bibtex: '@inproceedings{Höper_Schulte_2024, title={New Perspectives on the Future
of Computing Education: Teaching and Learning Explanatory Models}, DOI={10.1145/3699538.3699558},
booktitle={Proceedings of the 24th Koli Calling International Conference on Computing
Education Research}, publisher={ACM}, author={Höper, Lukas and Schulte, Carsten},
year={2024} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “New Perspectives on the Future of
Computing Education: Teaching and Learning Explanatory Models.” In Proceedings
of the 24th Koli Calling International Conference on Computing Education Research.
ACM, 2024. https://doi.org/10.1145/3699538.3699558.'
ieee: 'L. Höper and C. Schulte, “New Perspectives on the Future of Computing Education:
Teaching and Learning Explanatory Models,” presented at the Koli Calling ’24,
Koli, Finnland, 2024, doi: 10.1145/3699538.3699558.'
mla: 'Höper, Lukas, and Carsten Schulte. “New Perspectives on the Future of Computing
Education: Teaching and Learning Explanatory Models.” Proceedings of the 24th
Koli Calling International Conference on Computing Education Research, ACM,
2024, doi:10.1145/3699538.3699558.'
short: 'L. Höper, C. Schulte, in: Proceedings of the 24th Koli Calling International
Conference on Computing Education Research, ACM, 2024.'
conference:
end_date: 2024-11-17
location: Koli, Finnland
name: Koli Calling '24
start_date: 2024-11-14
date_created: 2024-11-19T07:17:21Z
date_updated: 2024-11-19T07:21:47Z
ddc:
- '370'
- '000'
department:
- _id: '67'
doi: 10.1145/3699538.3699558
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:19:05Z
date_updated: 2024-11-19T07:19:05Z
file_id: '57211'
file_name: 3699538.3699558.pdf
file_size: 699441
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:19:05Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/full/10.1145/3699538.3699558
oa: '1'
publication: Proceedings of the 24th Koli Calling International Conference on Computing
Education Research
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'New Perspectives on the Future of Computing Education: Teaching and Learning
Explanatory Models'
type: conference
user_id: '58041'
year: '2024'
...
---
_id: '55481'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Andreas
full_name: Mühling, Andreas
last_name: Mühling
citation:
ama: 'Höper L, Schulte C, Mühling A. Students’ Motivation and Intention to Engage
with Data-Driven Technologies from a CS Perspective in Everyday Life. In: Proceedings
of the 2024 on Innovation and Technology in Computer Science Education V. 1.
ACM; 2024. doi:10.1145/3649217.3653625'
apa: Höper, L., Schulte, C., & Mühling, A. (2024). Students’ Motivation and
Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday
Life. Proceedings of the 2024 on Innovation and Technology in Computer Science
Education V. 1. ITiCSE 2024, Mailand, Italien. https://doi.org/10.1145/3649217.3653625
bibtex: '@inproceedings{Höper_Schulte_Mühling_2024, title={Students’ Motivation
and Intention to Engage with Data-Driven Technologies from a CS Perspective in
Everyday Life}, DOI={10.1145/3649217.3653625},
booktitle={Proceedings of the 2024 on Innovation and Technology in Computer Science
Education V. 1}, publisher={ACM}, author={Höper, Lukas and Schulte, Carsten and
Mühling, Andreas}, year={2024} }'
chicago: Höper, Lukas, Carsten Schulte, and Andreas Mühling. “Students’ Motivation
and Intention to Engage with Data-Driven Technologies from a CS Perspective in
Everyday Life.” In Proceedings of the 2024 on Innovation and Technology in
Computer Science Education V. 1. ACM, 2024. https://doi.org/10.1145/3649217.3653625.
ieee: 'L. Höper, C. Schulte, and A. Mühling, “Students’ Motivation and Intention
to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life,”
presented at the ITiCSE 2024, Mailand, Italien, 2024, doi: 10.1145/3649217.3653625.'
mla: Höper, Lukas, et al. “Students’ Motivation and Intention to Engage with Data-Driven
Technologies from a CS Perspective in Everyday Life.” Proceedings of the 2024
on Innovation and Technology in Computer Science Education V. 1, ACM, 2024,
doi:10.1145/3649217.3653625.
short: 'L. Höper, C. Schulte, A. Mühling, in: Proceedings of the 2024 on Innovation
and Technology in Computer Science Education V. 1, ACM, 2024.'
conference:
location: Mailand, Italien
name: ITiCSE 2024
date_created: 2024-08-02T08:58:10Z
date_updated: 2024-11-19T07:23:20Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.1145/3649217.3653625
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:22:56Z
date_updated: 2024-11-19T07:22:56Z
file_id: '57213'
file_name: 3649217.3653625.pdf
file_size: 1092727
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:22:56Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/10.1145/3649217.3653625
oa: '1'
publication: Proceedings of the 2024 on Innovation and Technology in Computer Science
Education V. 1
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Students' Motivation and Intention to Engage with Data-Driven Technologies
from a CS Perspective in Everyday Life
type: conference
user_id: '58041'
year: '2024'
...
---
_id: '55656'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Andreas
full_name: Mühling, Andreas
last_name: Mühling
citation:
ama: 'Höper L, Schulte C, Mühling A. Learning an Explanatory Model of Data-Driven
Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing
Education. In: Proceedings of the 2024 ACM Conference on International Computing
Education Research - Volume 1. Vol 10. ACM; 2024. doi:10.1145/3632620.3671118'
apa: 'Höper, L., Schulte, C., & Mühling, A. (2024). Learning an Explanatory
Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods
Study in K-12 Computing Education. Proceedings of the 2024 ACM Conference on
International Computing Education Research - Volume 1, 10. https://doi.org/10.1145/3632620.3671118'
bibtex: '@inproceedings{Höper_Schulte_Mühling_2024, title={Learning an Explanatory
Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods
Study in K-12 Computing Education}, volume={10}, DOI={10.1145/3632620.3671118},
booktitle={Proceedings of the 2024 ACM Conference on International Computing Education
Research - Volume 1}, publisher={ACM}, author={Höper, Lukas and Schulte, Carsten
and Mühling, Andreas}, year={2024} }'
chicago: 'Höper, Lukas, Carsten Schulte, and Andreas Mühling. “Learning an Explanatory
Model of Data-Driven Technologies Can Lead to Empowered Behavior: A Mixed-Methods
Study in K-12 Computing Education.” In Proceedings of the 2024 ACM Conference
on International Computing Education Research - Volume 1, Vol. 10. ACM, 2024.
https://doi.org/10.1145/3632620.3671118.'
ieee: 'L. Höper, C. Schulte, and A. Mühling, “Learning an Explanatory Model of Data-Driven
Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing
Education,” in Proceedings of the 2024 ACM Conference on International Computing
Education Research - Volume 1, 2024, vol. 10, doi: 10.1145/3632620.3671118.'
mla: 'Höper, Lukas, et al. “Learning an Explanatory Model of Data-Driven Technologies
Can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education.”
Proceedings of the 2024 ACM Conference on International Computing Education
Research - Volume 1, vol. 10, ACM, 2024, doi:10.1145/3632620.3671118.'
short: 'L. Höper, C. Schulte, A. Mühling, in: Proceedings of the 2024 ACM Conference
on International Computing Education Research - Volume 1, ACM, 2024.'
date_created: 2024-08-20T06:56:39Z
date_updated: 2024-11-19T07:27:15Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.1145/3632620.3671118
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:27:02Z
date_updated: 2024-11-19T07:27:02Z
file_id: '57216'
file_name: 3632620.3671118.pdf
file_size: 1954057
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:27:02Z
has_accepted_license: '1'
intvolume: ' 10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/10.1145/3632620.3671118
oa: '1'
publication: Proceedings of the 2024 ACM Conference on International Computing Education
Research - Volume 1
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered
Behavior: A Mixed-Methods Study in K-12 Computing Education'
type: conference
user_id: '58041'
volume: 10
year: '2024'
...
---
_id: '46186'
author:
- 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: Höper L, Schulte C. Paradigmenwechsel vom klassischen zum datengetriebenen
Problemlösen im Informatikunterricht. MNU journal. 2023;76(4):314-320.
apa: Höper, L., & Schulte, C. (2023). Paradigmenwechsel vom klassischen zum
datengetriebenen Problemlösen im Informatikunterricht. MNU journal, 76(4),
314–320.
bibtex: '@article{Höper_Schulte_2023, title={Paradigmenwechsel vom klassischen zum
datengetriebenen Problemlösen im Informatikunterricht}, volume={76}, number={4},
journal={MNU journal}, publisher={Verlag Klaus Seeberger}, author={Höper, Lukas
and Schulte, Carsten}, year={2023}, pages={314–320} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen
zum datengetriebenen Problemlösen im Informatikunterricht.” MNU journal
76, no. 4 (2023): 314–20.'
ieee: L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen
Problemlösen im Informatikunterricht,” MNU journal, vol. 76, no. 4, pp.
314–320, 2023.
mla: Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen zum datengetriebenen
Problemlösen im Informatikunterricht.” MNU journal, vol. 76, no. 4, Verlag
Klaus Seeberger, 2023, pp. 314–20.
short: L. Höper, C. Schulte, MNU journal 76 (2023) 314–320.
date_created: 2023-07-28T05:58:37Z
date_updated: 2023-09-06T14:12:35Z
ddc:
- '370'
department:
- _id: '67'
file:
- access_level: open_access
content_type: application/pdf
creator: hoeper
date_created: 2023-07-28T05:56:19Z
date_updated: 2023-09-06T14:10:52Z
file_id: '46187'
file_name: MNU_journal_04_314-320.pdf
file_size: 615313
relation: main_file
file_date_updated: 2023-09-06T14:10:52Z
has_accepted_license: '1'
intvolume: ' 76'
issue: '4'
language:
- iso: ger
oa: '1'
page: 314-320
publication: MNU journal
publication_identifier:
issn:
- 0025-5866
publisher: Verlag Klaus Seeberger
related_material:
link:
- relation: other
url: https://www.mnu.de/zeitschriften/795-mnu-heft-2023-04
status: public
title: Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht
type: journal_article
user_id: '58041'
volume: 76
year: '2023'
...
---
_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: '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: '29702'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Hülya
full_name: Malatyali, Hülya
id: '4076'
last_name: Malatyali
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Lea
full_name: Budde, Lea
id: '32443'
last_name: Budde
citation:
ama: Höper L, Hüsing S, Malatyali H, Schulte C, Budde L. Methodik für Datenprojekte
im Informatikunterricht. LOG IN. 2021;41(1):31-38.
apa: Höper, L., Hüsing, S., Malatyali, H., Schulte, C., & Budde, L. (2021).
Methodik für Datenprojekte im Informatikunterricht. LOG IN, 41(1),
31–38.
bibtex: '@article{Höper_Hüsing_Malatyali_Schulte_Budde_2021, title={Methodik für
Datenprojekte im Informatikunterricht}, volume={41}, number={1}, journal={LOG
IN}, publisher={LOG IN Verlag}, author={Höper, Lukas and Hüsing, Sven and Malatyali,
Hülya and Schulte, Carsten and Budde, Lea}, year={2021}, pages={31–38} }'
chicago: 'Höper, Lukas, Sven Hüsing, Hülya Malatyali, Carsten Schulte, and Lea Budde.
“Methodik Für Datenprojekte Im Informatikunterricht.” LOG IN 41, no. 1
(2021): 31–38.'
ieee: L. Höper, S. Hüsing, H. Malatyali, C. Schulte, and L. Budde, “Methodik für
Datenprojekte im Informatikunterricht,” LOG IN, vol. 41, no. 1, pp. 31–38,
2021.
mla: Höper, Lukas, et al. “Methodik Für Datenprojekte Im Informatikunterricht.”
LOG IN, vol. 41, no. 1, LOG IN Verlag, 2021, pp. 31–38.
short: L. Höper, S. Hüsing, H. Malatyali, C. Schulte, L. Budde, LOG IN 41 (2021)
31–38.
date_created: 2022-01-31T12:18:52Z
date_updated: 2024-09-05T12:01:29Z
ddc:
- '370'
department:
- _id: '67'
file:
- access_level: open_access
content_type: application/pdf
creator: hoeper
date_created: 2024-09-05T11:58:59Z
date_updated: 2024-09-05T12:01:29Z
file_id: '56076'
file_name: Höper et al_2021_Methodik für Datenprojekte im Informatikunterricht.pdf
file_size: 179106
relation: main_file
file_date_updated: 2024-09-05T12:01:29Z
has_accepted_license: '1'
intvolume: ' 41'
issue: '1'
language:
- iso: eng
oa: '1'
page: 31-38
publication: LOG IN
publisher: LOG IN Verlag
status: public
title: Methodik für Datenprojekte im Informatikunterricht
type: journal_article
user_id: '58041'
volume: 41
year: '2021'
...
---
_id: '29706'
author:
- 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: 'Höper L, Schulte C. Datenbewusstsein im Kontext digitaler Kompetenzen für
einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten. In: Gesellschaft
für Informatik e.V., ed. 51. Jahrestagung Der Gesellschaft Für Informatik,
INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27.
September - 1. Oktober, 2021. Lecture Notes in Informatics. Gesellschaft für
Informatik; 2021:1623-1632. doi:10.18420/informatik2021-136'
apa: Höper, L., & Schulte, C. (2021). Datenbewusstsein im Kontext digitaler
Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten.
In Gesellschaft für Informatik e.V. (Ed.), 51. Jahrestagung der Gesellschaft
für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin,
Germany, 27. September - 1. Oktober, 2021 (pp. 1623–1632). Gesellschaft für
Informatik. https://doi.org/10.18420/informatik2021-136
bibtex: '@inproceedings{Höper_Schulte_2021, place={Bonn}, series={Lecture Notes
in Informatics}, title={Datenbewusstsein im Kontext digitaler Kompetenzen für
einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten}, DOI={10.18420/informatik2021-136},
booktitle={51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 -
Computer Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober,
2021}, publisher={Gesellschaft für Informatik}, author={Höper, Lukas and Schulte,
Carsten}, editor={Gesellschaft für Informatik e.V.}, year={2021}, pages={1623–1632},
collection={Lecture Notes in Informatics} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “Datenbewusstsein Im Kontext Digitaler
Kompetenzen Für Einen Selbstbestimmten Umgang Mit Datengetriebenen Digitalen Artefakten.”
In 51. Jahrestagung Der Gesellschaft Für Informatik, INFORMATIK 2021 - Computer
Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021,
edited by Gesellschaft für Informatik e.V., 1623–32. Lecture Notes in Informatics.
Bonn: Gesellschaft für Informatik, 2021. https://doi.org/10.18420/informatik2021-136.'
ieee: 'L. Höper and C. Schulte, “Datenbewusstsein im Kontext digitaler Kompetenzen
für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten,”
in 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer
Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021,
Bonn, 2021, pp. 1623–1632, doi: 10.18420/informatik2021-136.'
mla: Höper, Lukas, and Carsten Schulte. “Datenbewusstsein Im Kontext Digitaler Kompetenzen
Für Einen Selbstbestimmten Umgang Mit Datengetriebenen Digitalen Artefakten.”
51. Jahrestagung Der Gesellschaft Für Informatik, INFORMATIK 2021 - Computer
Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021,
edited by Gesellschaft für Informatik e.V., Gesellschaft für Informatik, 2021,
pp. 1623–32, doi:10.18420/informatik2021-136.
short: 'L. Höper, C. Schulte, in: Gesellschaft für Informatik e.V. (Ed.), 51. Jahrestagung
Der Gesellschaft Für Informatik, INFORMATIK 2021 - Computer Science & Sustainability,
Berlin, Germany, 27. September - 1. Oktober, 2021, Gesellschaft für Informatik,
Bonn, 2021, pp. 1623–1632.'
conference:
location: Bonn
name: INFORMATIK 2021
corporate_editor:
- Gesellschaft für Informatik e.V.
date_created: 2022-01-31T12:24:44Z
date_updated: 2024-09-16T08:32:09Z
department:
- _id: '67'
doi: 10.18420/informatik2021-136
language:
- iso: eng
page: 1623-1632
place: Bonn
publication: 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer
Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021
publication_identifier:
isbn:
- 978-3-88579-708-1
publisher: Gesellschaft für Informatik
quality_controlled: '1'
series_title: Lecture Notes in Informatics
status: public
title: Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten
Umgang mit datengetriebenen digitalen Artefakten
type: conference
user_id: '58041'
year: '2021'
...
---
_id: '27491'
abstract:
- lang: eng
text: ' Students often have a lack of understanding and awareness of where, how,
and why personal data about them is collected and processed. Especially, when
interacting with data-driven digital artifacts, an appropriate perception of the
data collection and processing is necessary for self-determination. This dissertation
deals with the development and evaluation of a concept called data awareness which
aims to foster students’ self-determination interacting with data-driven digital
artifacts.'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
citation:
ama: 'Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing
Education. In: 21st Koli Calling International Conference on Computing Education
Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509'
apa: Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for
K12 Computing Education. 21st Koli Calling International Conference on Computing
Education Research. https://doi.org/10.1145/3488042.3490509
bibtex: '@inproceedings{Höper_2021, place={New York, NY, USA}, series={Koli Calling
’21}, title={Developing and Evaluating the Concept Data Awareness for K12 Computing
Education}, DOI={10.1145/3488042.3490509},
booktitle={21st Koli Calling International Conference on Computing Education Research},
publisher={Association for Computing Machinery}, author={Höper, Lukas}, year={2021},
collection={Koli Calling ’21} }'
chicago: 'Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for
K12 Computing Education.” In 21st Koli Calling International Conference on
Computing Education Research. Koli Calling ’21. New York, NY, USA: Association
for Computing Machinery, 2021. https://doi.org/10.1145/3488042.3490509.'
ieee: 'L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing
Education,” 2021, doi: 10.1145/3488042.3490509.'
mla: Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12
Computing Education.” 21st Koli Calling International Conference on Computing
Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509.
short: 'L. Höper, in: 21st Koli Calling International Conference on Computing Education
Research, Association for Computing Machinery, New York, NY, USA, 2021.'
date_created: 2021-11-16T07:59:49Z
date_updated: 2024-09-16T08:32:39Z
department:
- _id: '67'
doi: 10.1145/3488042.3490509
keyword:
- data awareness
- machine learning
- data science education
- data-driven digital artifacts
- artificial intelligence
language:
- iso: eng
place: New York, NY, USA
publication: 21st Koli Calling International Conference on Computing Education Research
publication_identifier:
isbn:
- '9781450384889'
publisher: Association for Computing Machinery
quality_controlled: '1'
series_title: Koli Calling '21
status: public
title: Developing and Evaluating the Concept Data Awareness for K12 Computing Education
type: conference
user_id: '58041'
year: '2021'
...
---
_id: '25520'
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: Sven
full_name: Hüsing, Sven
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Hülya
full_name: Malatyali, Hülya
id: '4076'
last_name: Malatyali
citation:
ama: 'Höper L, Podworny S, Hüsing S, et al. Zur neuen Bedeutung von Daten in Data
Science und künstlicher Intelligenz. In: Humbert L, ed. 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021. Vol P-313.
LOG IN. Gesellschaft für Informatik, Bonn; 2021:345. doi:10.18420/infos2021\_a230'
apa: 'Höper, L., Podworny, S., Hüsing, S., Schulte, C., Fleischer, Y., Biehler,
R., Frischemeier, D., & Malatyali, H. (2021). Zur neuen Bedeutung von Daten
in Data Science und künstlicher Intelligenz. In L. Humbert (Ed.), 19. GI-Fachtagung
Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol.
P-313 (p. 345). Gesellschaft für Informatik, Bonn. https://doi.org/10.18420/infos2021\_a230'
bibtex: '@inproceedings{Höper_Podworny_Hüsing_Schulte_Fleischer_Biehler_Frischemeier_Malatyali_2021,
series={LOG IN}, title={Zur neuen Bedeutung von Daten in Data Science und künstlicher
Intelligenz}, volume={P-313}, DOI={10.18420/infos2021\_a230},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Höper,
Lukas and Podworny, Susanne and Hüsing, Sven and Schulte, Carsten and Fleischer,
Yannik and Biehler, Rolf and Frischemeier, Daniel and Malatyali, Hülya}, editor={Humbert,
Ludger}, year={2021}, pages={345}, collection={LOG IN} }'
chicago: Höper, Lukas, Susanne Podworny, Sven Hüsing, Carsten Schulte, Yannik Fleischer,
Rolf Biehler, Daniel Frischemeier, and Hülya Malatyali. “Zur neuen Bedeutung von
Daten in Data Science und künstlicher Intelligenz.” In 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by
Ludger Humbert, P-313:345. LOG IN. Gesellschaft für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_a230.
ieee: 'L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und
künstlicher Intelligenz,” in 19. GI-Fachtagung Informatik und Schule, INFOS
2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 345,
doi: 10.18420/infos2021\_a230.'
mla: Höper, Lukas, et al. “Zur neuen Bedeutung von Daten in Data Science und künstlicher
Intelligenz.” 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. 345, doi:10.18420/infos2021\_a230.
short: 'L. Höper, S. Podworny, S. Hüsing, C. Schulte, Y. Fleischer, R. Biehler,
D. Frischemeier, H. Malatyali, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft
für Informatik, Bonn, 2021, p. 345.'
date_created: 2021-10-05T13:47:13Z
date_updated: 2024-09-16T08:31:48Z
department:
- _id: '67'
doi: 10.18420/infos2021\_a230
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: '345'
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publication_identifier:
isbn:
- 978-3-88579-707-4
publisher: Gesellschaft für Informatik, Bonn
quality_controlled: '1'
series_title: LOG IN
status: public
title: Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz
type: conference
user_id: '58041'
volume: P-313
year: '2021'
...
---
_id: '25523'
author:
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Podworny S, Höper L, Fleischer Y, Hüsing S, Schulte C. Data Science ab Klasse
5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein.
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; 2021:327. doi:10.18420/infos2021\_w278'
apa: 'Podworny, S., Höper, L., Fleischer, Y., Hüsing, S., & Schulte, C. (2021).
Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz
unplugged und Datenbewusstsein. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. {P-313
(p. 327). Gesellschaft für Informatik, Bonn. https://doi.org/10.18420/infos2021\_w278'
bibtex: '@inproceedings{Podworny_Höper_Fleischer_Hüsing_Schulte_2021, series={LNI},
title={Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche
Intelligenz unplugged und Datenbewusstsein}, volume={{P-313}, DOI={10.18420/infos2021\_w278},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Podworny,
Susanne and Höper, Lukas and Fleischer, Yannik and Hüsing, Sven and Schulte, Carsten},
editor={Humbert, Ludger}, year={2021}, pages={327}, collection={LNI} }'
chicago: Podworny, Susanne, Lukas Höper, Yannik Fleischer, Sven Hüsing, and Carsten
Schulte. “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche
Intelligenz unplugged und Datenbewusstsein.” In 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by
Ludger Humbert, {P-313:327. LNI. Gesellschaft für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_w278.
ieee: 'S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science
ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged
und Datenbewusstsein,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021,
Wuppertal, Germany, September 8-10, 2021, 2021, vol. {P-313, p. 327, doi:
10.18420/infos2021\_w278.'
mla: Podworny, Susanne, et al. “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge
für künstliche Intelligenz unplugged und Datenbewusstsein.” 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. 327, doi:10.18420/infos2021\_w278.
short: 'S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, C. Schulte, in: L. Humbert
(Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 327.'
date_created: 2021-10-05T14:04:36Z
date_updated: 2024-09-16T08:32:51Z
department:
- _id: '67'
doi: 10.18420/infos2021\_w278
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: '327'
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publisher: Gesellschaft für Informatik, Bonn
quality_controlled: '1'
series_title: LNI
status: public
title: Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz
unplugged und Datenbewusstsein
type: conference
user_id: '58041'
volume: '{P-313'
year: '2021'
...
---
_id: '27493'
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
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- 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: 'Podworny S, Fleischer Y, Hüsing S, et al. Using data cards for teaching data
based decision trees in middle school. 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; 2021:39:1-39:3. doi:10.1145/3488042.3489966'
apa: 'Podworny, S., Fleischer, Y., Hüsing, S., Biehler, R., Frischemeier, D., Höper,
L., & Schulte, C. (2021). Using data cards for teaching data based decision
trees in middle school. 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. 39:1-39:3). ACM. https://doi.org/10.1145/3488042.3489966'
bibtex: '@inproceedings{Podworny_Fleischer_Hüsing_Biehler_Frischemeier_Höper_Schulte_2021,
title={Using data cards for teaching data based decision trees in middle school},
DOI={10.1145/3488042.3489966},
booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM},
author={Podworny, Susanne and Fleischer, Yannik and Hüsing, Sven and Biehler,
Rolf and Frischemeier, Daniel and Höper, Lukas and Schulte, Carsten}, editor={Seppälä,
Otto and Petersen, Andrew}, year={2021}, pages={39:1-39:3} }'
chicago: 'Podworny, Susanne, Yannik Fleischer, Sven Hüsing, Rolf Biehler, Daniel
Frischemeier, Lukas Höper, and Carsten Schulte. “Using Data Cards for Teaching
Data Based Decision Trees in Middle School.” 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, 39:1-39:3.
ACM, 2021. https://doi.org/10.1145/3488042.3489966.'
ieee: 'S. Podworny et al., “Using data cards for teaching data based decision
trees in middle school,” in Koli Calling ’21: 21st Koli Calling International
Conference on Computing Education Research, Joensuu, Finland, November 18 - 21,
2021, 2021, p. 39:1-39:3, doi: 10.1145/3488042.3489966.'
mla: 'Podworny, Susanne, et al. “Using Data Cards for Teaching Data Based Decision
Trees in Middle School.” 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. 39:1-39:3,
doi:10.1145/3488042.3489966.'
short: 'S. Podworny, Y. Fleischer, S. Hüsing, R. Biehler, D. Frischemeier, L. Höper,
C. Schulte, 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. 39:1-39:3.'
date_created: 2021-11-16T08:10:17Z
date_updated: 2024-09-16T08:32:21Z
department:
- _id: '67'
doi: 10.1145/3488042.3489966
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: 39:1-39:3
publication: 'Koli Calling ''21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021'
publisher: ACM
quality_controlled: '1'
status: public
title: Using data cards for teaching data based decision trees in middle school
type: conference
user_id: '58041'
year: '2021'
...
---
_id: '25524'
author:
- 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: 'Höper L, Schulte C. Datenbewusstsein: Aufmerksamkeit für die eigenen Daten.
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; 2021:73-82. doi:10.18420/infos2021\_f235'
apa: 'Höper, L., & Schulte, C. (2021). Datenbewusstsein: Aufmerksamkeit für
die eigenen Daten. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule,
INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (pp. 73–82).
Gesellschaft für Informatik, Bonn. https://doi.org/10.18420/infos2021\_f235'
bibtex: '@inproceedings{Höper_Schulte_2021, series={{LNI}}, title={Datenbewusstsein:
Aufmerksamkeit für die eigenen Daten}, volume={P-313}, DOI={10.18420/infos2021\_f235},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Höper,
Lukas and Schulte, Carsten}, editor={Humbert, Ludger}, year={2021}, pages={73–82},
collection={{LNI}} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “Datenbewusstsein: Aufmerksamkeit für
die eigenen Daten.” In 19. GI-Fachtagung Informatik und Schule, INFOS 2021,
Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, P-313:73–82.
{LNI}. Gesellschaft für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_f235.'
ieee: 'L. Höper and C. Schulte, “Datenbewusstsein: Aufmerksamkeit für die eigenen
Daten,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal,
Germany, September 8-10, 2021, 2021, vol. P-313, pp. 73–82, doi: 10.18420/infos2021\_f235.'
mla: 'Höper, Lukas, and Carsten Schulte. “Datenbewusstsein: Aufmerksamkeit für die
eigenen Daten.” 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, pp. 73–82, doi:10.18420/infos2021\_f235.'
short: 'L. Höper, C. Schulte, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft
für Informatik, Bonn, 2021, pp. 73–82.'
date_created: 2021-10-05T14:07:21Z
date_updated: 2024-09-16T08:33:53Z
department:
- _id: '67'
doi: 10.18420/infos2021\_f235
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: 73-82
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publisher: Gesellschaft für Informatik, Bonn
quality_controlled: '1'
series_title: '{LNI}'
status: public
title: 'Datenbewusstsein: Aufmerksamkeit für die eigenen Daten'
type: conference
user_id: '58041'
volume: P-313
year: '2021'
...