Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Computer Science Education | Computer Science and Society

Haeseon Yun, M.A.Ed.

Haeseon Yun, M.A.Ed. Address: Wilhelminenhofstrasse 75a, Raum H214
Phone: +49 30 5019-3247
Email: yun@htw-berlin.de

Haeseon Yun attained her Bachelor of Science in Electrical Engineering in 2005 at Montana State University in U.S.A. She enrolled in Master of Arts in Education (Educational Technology) in 2010 and attained her Master’s degree in 2013 at Seoul National University, Republic of Korea. Her Master thesis (Development of a volitional control application for M-learning) focuses on utilisation of mobile environment for volitional control support. She continued her study into Ph.D in Education and completed her coursework in Education in Seoul National University in 2015. She joined LISA (Learning Analytics für sensor basierte Lernen) project in 2016 as a project coordinator at HTW Berlin and joined the research group of Prof. Pinkwart in Summer 2017 as an external PhD student. Her research focuses on mobile learning companion for self-regulated learning.


Conference Papers by H. Yun

F. Moukayed, H. Yun, A. Fortenbacher, and T. Bisson
Detecting Academic Emotions from Learners’ Skin Conductance and Heart Rate: Data-Driven Aproach using Fuzzy Logic
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), CEUR Workshop Proceedings (CEUR-WS.org <http://CEUR-WS.org>), 2018
lisa academic emotions arousal valence affective pictures fuzzy logic genetic algorithm learning indicators
H. Yun, J. H. Israel, A. Fortenbacher, H. Rott, and D. Metzler
User-Centric Approach to the Design of a Mobile Learning Companion
Mensch und Computer 2017 - Workshopband, Regensburg, Germany, September 10-13, 2017., 2017
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
V. Brovkov, A. Fortenbacher, H. Yun, and D. Junker
Prototype of a sensor device for learning environments
3rd International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems, SWS@IDAACS 2016, Offenburg, Germany, September 26-27, 2016, 2016