Positions
Marvin Roski
Marvin Roski
Phone
Email
Address
Am Kleinen Felde 30
30167 Hannover
30167 Hannover
Building
Room
Marvin Roski
Phone
Email
Research Staff
Chemistry Education Section
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).
