Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Didaktik der Informatik | Informatik und Gesellschaft

Dipl.-Inf. Monika Domanska

Dipl.-Inf. Monika Domanska Adresse: Rudower Chaussee 25, Raum 3.415
Telefon: +49 30 2093-3803
E-Mail: monika.domanska@hu-berlin.de

Monika Domanska holds a Diploma degree in Computer Science from Humboldt University. She worked for some years in web engineering, first as developer at the online shop Zalando SE and later as team lead at the research institute ZeSys e.V. .

She joined the research group of Prof. Pinkwart in April 2016. Her research interests are sensory based learning analytics for adaptive online learning environments, as well as broader applications of sensory aided adaptivity. She works within the LISA project.

Veröffentlichungen

Conference Papers by M. Domanska


K. Staudt, Y. Grushetskaya, G. Rangelov, M. Domanska, and N. Pinkwart
Herzrate, elektrodermale Aktivität und Hautleitwert als neue Quellen für Learning Analytics. Integration von physiologiebasierter Emotionsanalyse in webbasierte E-Learning-Systeme (Heart rate, electrodermal activity and skin conductance as new sources for Learning Analytics)
Proceedings der Pre-Conference-Workshops der 16. E-Learning Fachtagung Informatik co-located with 16th e-Learning Conference of the German Computer Society (DeLFI 2018), Frankfurt, Germany, September 10, 2018, CEUR-WS.org, 2018
URL, RIS, BibTex
Z. Liu, L. Kang, M. Domanska, S. Liu, J. Sun, and C. Fang
Social Network Characteristics of Learners in a Course Forum and Their Relationship to Learning Outcomes.
Proceedings of the 10th International Conference on Computer Supported Education, Volume 2, 2018
DOI, RIS, BibTex
H. Yun, M. Domanska, A. Fortenbacher, N. Pinkwart, and M. Ghomi
Sensor Data for Learning Support: Achievements, Open Questions & Opportunities
Proceedings der Pre-Conference-Workshops der 14. E-Learning Fachtagung Informatik co-located with 14th e-Learning Conference of the German Computer Society (DeLFI 2016), CEUR Workshop Proceedings (CEUR-WS.org), 2016
lisa learning analytics sensor data adaptive systems feedback
URL, RIS, BibTex