Erik Marx
Table of contents
Contact us
© DDI
Wissenschaftlicher Mitarbeiter
NameMr Erik Marx
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Visiting address:
Andreas-Pfitzmann-Bau, Raum 2089 Nöthnitzer Str. 46
01187 Dresden
Areas of responsibility
- Research and doctoral studies on teaching the topic of machine learning in schools.
- Conception, implementation and evaluation of learning materials and workshop concepts on the topic of artificial intelligence
- Teaching in courses of the Chair of Didactics of Computer Science with a focus on artificial intelligence
- Further training events for teachers and lateral entrants with a focus on AI
- Opening up research fields and associated findings in the field of AI to the general public in the ScaDS.AI project
Doctorate and research
I am concerned with the question of how the subject area of artificial intelligence (AI), in particular the field of machine learning (ML), can be taught in schools. The focus is on considerations of which ML concepts are essential for pupils' understanding and development of suitable cognitive models and how pre-conceptions that students develop before they come into contact with the topic at school influence the learning process.
A mixed methods approach is required to answer these questions. In order to identify basic concepts, literature analyses and qualitative studies are necessary to record existing preconceptions among students. In addition, a measurement instrument in the form of a questionnaire will be developed to investigate the persistence of these preconceptions and to evaluate the effect of learning interventions, which will be used in quantitative studies.
As part of my project position in ScaDS.AI, I also design learning materials and workshop concepts and test and evaluate them with pupils in our student laboratory EduInf.
Publications
2025
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Art Interactive - The Intelligent Museum Guide: A Hands-On Approach to Introducing Key Machine Learning Concepts, 1 Sep 2025Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Concept Inventory zum Thema Maschinelles Lernen (CIML) - Konzeption, Entwicklung und Evaluation, 2025, 21. GI-Fachtagung Informatik und Schule (INFOS) 2025. Gesellschaft für Informatik e.V. (GI)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Vorstellung eines Concept Inventory zum maschinellen Lernen (CIML), 2025Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
2024
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From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game, 13 Oct 2024, Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning : Situation, Evolution, and Perspectives, ISSEP 2024, Proceedings. Pluhár, Z. & Gaál, B. (eds.).p. 73-84, 12 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study, 16 Sep 2024, WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research. Michaeli, T., Sentance, S. & Bergner, N. (eds.). New York, NY, USA: Association for Computing Machinery, p. 1-10, 10 p., 3678114Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2023
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Secondary school students' mental models and attitudes regarding artificial intelligence - A scoping review, Jan 2023, In: Computers and education: artificial intelligence. 5, 5, p. 1-13, 13 p., 100169Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Exploring Students’ Preinstructional Mental Models of Machine Learning: Preliminary Findings, 2023, 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings. Pellet, J. & Parriaux, G. (eds.). Zenodo, p. 233-236, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Maschinelles Lernen in der Sekundarstufe I erlebbar machen: Workshop-Konzept zur Entwicklung einer intelligenten Museumsapp, 2023, p. 429-430, 2 p.Electronic (full-text) versionResearch output: Contribution to conferences > Poster
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Seminarkonzept zur fachlichen und fachdidaktischen Qualifizierung von Informatiklehramtsstudierenden zum Maschinellen Lernen, 2023, 10. Fachtagung Hochschuldidaktik Informatik (HDI) 2023. Gesellschaft fur Informatik (GI), Vol. 10. p. 65-74, 10 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Workshop: Künstliche Intelligenz im Informatikunterricht - Praxisperspektiven im Gespräch, 2023, 2 p.Electronic (full-text) versionResearch output: Other contribution > Other
This information is provided by the FIS.
University teaching
Below you will find an overview of offered courses and supervised theses with a focus on artificial intelligence.
Courses
- (SuSe 24) IT4Advanced - AI at school
- (WiSe 23/24) IT4Advanced - AI at school
- (SuSe 23) IT4Advanced - AI at school
- (WiSe 22/23) IT4Advanced - In-depth aspects for computer science teacher training students
- (SuSe 22) Didactics of computer science - computer science education at middle schools
- (SuSe 21) Computer science didactics - selected aspects
Final theses
- (SuSe 25) Evaluation of a concept inventory for machine learning using cognitive interviews
- (WiSe 24/25) Conception and development of a collaborative learning game mode for the introduction to the subject area "Machine Learning"
- (WiSe 24/25) Development of a project-based approach to teaching the basics of machine learning at upper secondary level
- (SuSe 24) Student perceptions of recommendation systems
- (SuSe 22) Didactic reconstruction of machine learning in the context of image processing - workshop concept for upper secondary level
- (WiSe 21/22 ) KI Play - Didactic conception of an AI learning game for multi-touch tables
Professional career
| since 04/2021 | Research Associate in the project "ScaDS.AI" |
| 10/2014 - 02/2021 |
Studies with 1st state examination for Teacher Training - Secondary Schools in the subjects Mathematics and Computer Science |