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Der Campus im Frühling. Bildinformationen anzeigen

Der Campus im Frühling.

Foto: Universität Paderborn, Kamil Glabica.

M. Ed. Lea Budde

M. Ed. Lea Budde

Didaktik der Informatik (DDI)

Wissenschaftliche Mitarbeiterin

+49 5251 60-6733
+49 5251 60-6623
Fürstenallee 11
33102 Paderborn

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Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material

M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings, 2019, pp. 65 - 73

Artificial intelligence (AI) has the potential for far-reaching – in our opinion – irreversible changes. They range from effects on the individual and society to new societal and social issues. The question arises as to how students can learn the basic functioning of AI systems, what areas of life and society are affected by these and – most important – how their own lives are affected by these changes. Therefore, we are developing and evaluating school materials for the German ”Science Year AI”. It can be used for students of all school types from the seventh grade upwards and will be distributed to about 2000 schools in autumn with the support of the Federal Ministry of Education and Research. The material deals with the following aspects of AI: Discussing everyday experiences with AI, how does machine learning work, historical development of AI concepts, difference between man and machine, future distribution of roles between man and machine, in which AI world do we want to live and how much AI would we like to have in our lives. Through an accompanying evaluation, high quality of the technical content and didactic preparation is achieved in order to guarantee the long-term applicability in the teaching context in the different age groups and school types. In this paper, we describe the current state of the material development, the challenges arising, and the results of tests with different classes to date. We also present first ideas for evaluating the results.


Drafting a Data Science Curriculum for Secondary Schools

B. Heinemann, S.A. Opel, L. Budde, C. Schulte, D. Frischemeier, R. Biehler, S. Podworny, T. Wassong, in: Koli Calling, ACM, 2018, pp. 17:1-17:5

Eye-movement Modeling Examples in Source Code Comprehension: A Classroom Study

R. Bednarik, C. Schulte, L. Budde, B. Heinemann, H. Vrzakova, in: Proceedings of the 18th Koli Calling International Conference on Computing Education Research, Koli, Finland, November 22-25, 2018, 2018, pp. 2:1-2:8



The design and exploration cycle as research and development framework in computing education

C. Schulte, J. Magenheim, K. Müller, L. Budde, in: 2017 (IEEE) Global Engineering Education Conference, (EDUCON) 2017, Athens, Greece, April 25-28, 2017, 2017, pp. 867-876


A theory based tool set for analysing reading processes in the context of learning programming

L. Budde, B. Heinemann, C. Schulte, in: Proceedings of the 12th Workshop on Primary and Secondary Computing Education, WiPSCE 2017, Nijmegen, The Netherlands, November 8-10, 2017, 2017, pp. 83-86


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