Position
Marvin Roski
Marvin Roski
Phone
Email
Address
Am Kleinen Felde 30
30167 Hannover
30167 Hannover
Building
Room
Marvin Roski
Phone
Email
Doctoral Candidates
Chemistry Education Section
Focus in research
- Integration of learning analytics and machine learning in science teaching-learning processes with a focus on inclusive chemistry teaching
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Curriculum vitae
Since 11/2020
Lichtenberg PhD fellowship as part of the LernMINT PhD project
2018-2020
Master of Education for chemistry and history education at Leibniz University Hannover
2016-2018
Interdisciplinary Bachelor of Science in chemistry and history education at Leibniz Universität Hannover
2014-2016
Undergraduate study in chemistry at the Westfälische Wilhelms-Universität Münster
2014
High school diploma at the Gymnasium Marienschule Hildesheim
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Presentations
2023
Roski, M. & Nehring, A. (2023): Mining Digital Learning Data in Education: A Step-by-Step-Guide Using WordPress. 20th Biennial EARLI Conference.
2022
Roski, M. & Nehring, A. (2022): Supporting Inclusive Science Learning through ML. International Conference for AI-based Assessments in STEM Education, University of Georgia, USA.
Roski, M., Hoppe, A. & Nehring, A. (2022): I3Lern: ML für eine individualisierte Lernunterstützung aller Lernenden. Gesellschaft für Didaktik der Chemie und Physik Jahrestagung 2022 (GDCP).
Schanze, S., Bleckmann, T., Dieckhoff, L., Friege, G., Nehring, A., Oldag, J. & Roski, M. (2022): Daten in der naturwissenschaftsdidaktischen Forschung. Gesellschaft für Didaktik der Chemie und Physik Jahrestagung 2022 (GDCP).
Lenzer, S., Roski, M. & Nehing, A (2022): Towards an Inclusion of All in Lab Courses – The Case of a Blind Student. National Association for Research in Science Teaching (NARST).
2021
Roski, M., Hoppe, A., Dannemann, S., Dietze, S., Ewerth, R., Friege, G., Marenzi, I., Ntoutsi, E., Schanze, S. & Nehring, A. (2021): Machine learning in science education: looking into tomorrow’s schools – A systematic review. 14th Conference of the European Science Education Research Association (ESERA).
Roski, M. & Nehring, A. (2021): ML-based assessment for inclusive learning support. Gesellschaft für Didaktik der Chemie und Physik Jahrestagung 2021 (GDCP).
