Michael Hanses

Deutsch

Michael Hanses (M. Sc.) Photo: Hardy Welsch

Michael Hanses (M. Sc.)

Research assistant at project IMPACT

Email: michael.hanses

Universitätsstraße 27 – PRG / Building 5
Raum A 106 (1. Etage)
58097 Hagen

What is my role within CATALPA?

In the IMPACT project we focus on the implementation of trusted learning analytics and AI in higher education. My focus is on the implementation of different open source applications as well as the development of analysis approaches with AI-supported methods. Until 2/2024 I was an alternate member of the CATALPA executive board.

Why CATALPA?

With the IMPACT project, CATALPA gives me the framework and opportunities to further my education in an interesting research field and also to start my scientific career. The interdisciplinary composition of the project teams creates a framework that makes it possible to generate synergies.

    • BI Expert Viega Holding GmbH & CO KG Industry 4.0 and BI Expert for the departments Supply Chain & Technology (08.2018 - 05.2022)
    • M.Sc. Business Informatics University of Siegen, Germany "Examing Online Ideation Communities: A data-driven investigation of user collaboration and influencing factors on idea adoption" (2016 – 2018)
    • B.Sc. Business Informatics University of Trier "Creation of a customer management software based on Hibernate and Oracle databases" (2013 – 2016)
    • Apprenticeship as merchant in wholesale and foreign trade (2011 – 2013)

    • How can AI techniques improve higher education

    • How can NLP algorithms help generate feedback?

    • How can AI help improve the student life cycle?

    • What opportunities does visual analytics give us in higher education?

  • 2024

    Conferences

    • Rüdian, S., Schumacher, C., Hanses, M., Kuzilek, J., & Pinkwart, N. (2024, July). Rule-based and prediction-based computer-generated feedback in online courses. IEEE International Conference on Advanced Learning Technologies (ICALT).

    Chapters in Edited Books

    • Hanses, M., van Rijn, L., Karolyi, H., & de Witt, C. (2024). Guiding students towards successful assessments using learning analytics from behavioral data to formative feedback. In M. Sahin & D. Ifenthaler (Eds.), Assessment analytics in education: Designs, methods and solutions (pp. 61–83). Springer International Publishing. https://doi.org/10.1007/978-3-031-56365-2_4

    • Other Publications

    • Zesch, T., Hanses, M., Seidel, N., Aggarwal, P., Veiel, D., & Witt, C. de. (2024, June 27). FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models. http://arxiv.org/pdf/2407.13013

    2023

    Journals

    • Ferguson, R., Khosravi, H., Kovanović, V., Viberg, O., Aggarwal, A., Brinkhuis, M., Buckingham Shum, S., Chen, L. K., Drachsler, H., Guerrero, V. A., Hanses, M., Hayward, C., Hicks, B., Jivet, I., Kitto, K., Kizilcec, R., Lodge, J. M., Manly, C. A., Matz, R. L., … Yan, V. X. (2023). Aligning the goals of learning analytics with its research scholarship: An open peer commentary approach. Journal of Learning Analytics, 10(2), 14–50. https://doi.org/10.18608/jla.2023.8197
Research Center CATALPA | 17.12.2024