Jörg M. Haake

Deutsch

Prof. Dr.-Ing. Jörg M. Haake Photo: Henrik Schipper

Prof. Dr.-Ing. Jörg M. Haake

Member of the CATALPA management team, lead of LA-DIVA project

Email: joerg.haake

Phone: +49 2331 987 327

Universitätsstraße 1 – IZ / Building 3
Raum G08 (2. Etage)
58097 Hagen

What is my role within CATALPA?

As a computer scientist with a long history in interdisciplinary projects I facilitate the development of CATALPA in my role as deputy scientific director. In addition, I lead the LA-DIVA project, which conducts research on how learners of high diversity may be supported by adaptive assignments and assessment, by adaptive group formation and adaptive support for learning processes in groups. I am also a member of the Executive Board.

Why CATALPA?

CATALPA offers an excellent environment for my research in adaptive collaborative learning environments by providing easy collaboration with scientists from other disciplines. CATALPA's special services for junior researchers greatly support the professional development and scientific career of my staff. My personal goal is to help improve learning and teaching practice not only in my own teaching but also in other disciplines by providing methods and technology for implementing effective adaptive personalized and collaborative learning environments.

    • Deputy Scientific Director of the Research Center „Center of Advanced Technology Assisted Learning and Predictive Analytics“ (CATALPA) FernUniversität (since October 2021)
    • Involvement in establishing the research center CATALPA (since 2016)
    • Professor for Cooperative Systems, Faculty of Mathematics and Computer Science, FernUniversität in Hagen (since 2001)
    • Division Manager Collaborative Learning and Working, Fraunhofer Institut for Integrated Publication and Information Systems (IPSI), Darmstadt (1997-2001)
    • Doktor-Ingenieur, Faculty of Computer Science, Technische Universität Darmstadt (1995)
    • Diplom-Informatiker, Computer Science, Universität Dortmund (1980-1987)

    • Support for collaborative learning and working, since this is an indispensable component in our modern world.
    • Adaptivity in collaborative learning and working environments, since collaboration among humans is constantly changing, thus static learning and working environments may hinder effective learning and work processes.
    • Support for interdisciplinary collaboration, since answering complex questions requires collaboration between disciplines, which today is supported insufficiently only.

    • LA-DIVA
    • APLE II
    • APLE I (finished)

  • 2023

    Journals

    • Radović, S., Seidel, N., Haake, J. M., & Kasakowskij, R. (2023). Analysing students’ self-assessment practice in a distance education environment: Student behaviour, accuracy, and task-related characteristics. Journal of Computer Assisted Learning, 1–13. https://doi.org/10.1111/jcal.12907

    Conferences

    • Kasakowskij, R., Haake, J. M., & Seidel, N. (2023). Self-Assessment Task Processing Behavior of Students in Higher Education. Proceedings of the 16th International Conference on Educational Data Mining, 334–341. https://doi.org/10.5281/zenodo.8115707

    2022

    Talks and Poster Presentations

    • Wehrhahn, F., Zhao, F., Gaschler, R., & Haake, J. M. (2022a, March). Can interactive information pictures enhance learning? [Poster Presentation]. Conference name: TeaP 2022 – tagung experimentell arbeitender psycholog:innen; conference of experimental psychologists.
    • Wehrhahn, F., Zhao, F., Gaschler, R., & Haake, J. M. (2022b, August 29–31). Can interactive decorative pictures enhance learning compared to informative and static pictures? [Poster Presentation]. EARLI SIG 2 Conference 2022 – Text and Graphics Comprehension in a Digital World: Potential and Challenges, IPN - Leipniz Institute for Science and Mathematics Education, Germany.

    2021

    Journals

    • Seidel, N., Haake, J. M., & Burchart, M. (2021). From Diversity to adaptive Personalization: The Next Generation Learning Management System as Adaptive Learning Environment. Eleed, 14(1). http://nbn-resolving.de/urn:nbn:de:0009-5-52421

    Conferences

    • Haake, J. M., Seidel, N., Burchart, M., Karolyi, H., & Kasakowskij, R. (2021). Accuracy of self-assessments in higher education. DELFI 2021 – Die 19. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., 97–108. https://dl.gi.de/handle/20.500.12116/36995

    Data Sets

    2020

    Conferences

    • Haake, J. M., Seidel, N., Karolyi, H., & Ma, L. (2020). Self-Assessment mit High-Information Feedback. In R. Zender, D. Ifenthaler, T. Leonhardt, & C. Schumacher (Eds.), DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. (pp. 145–150). Gesellschaft für Informatik (GI e.V.). https://dl.gi.de/handle/20.500.12116/34152

    Software

  • Research Gate

Research Center CATALPA | 09.07.2024