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: Rudower Chaussee 25, Room 3.417
Email: yunhaese@informatik.hu-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. As of October 2019, she is employed at HU Berlin as a doctoral research staff for the project, Science of Intelligence. Her research focuses on mobile learning companion for self-regulated learning.

Publications

J. Chevalère, H. S. Yun, A. Henke, N. Pinkwart, V. V. Hafner, and R. Lazarides. A sequence of learning processes in an intelligent tutoring system from topic-related appraisals to learning gains. Learning and Instruction, volume 87, pages 101799, 2023. H. S. Yun, H. Hübert, A. Sardogan, N. Pinkwart, V. V. Hafner, and R. Lazarides. Humanoid Robot as a Debate Partner. HCI International 2023 Posters, Springer Nature Switzerland, pages 546-552, 2023. H. S. Yun, H. Hübert, J. Chevalère, N. Pinkwart, V. V. Hafner, and R. Lazarides. Analyzing Learners’ Emotion from an HRI Experiment Using Facial Expression Recognition Systems. Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part II, pages 396-407, 2023. H. S. Yun, V. Taliaronak, M. Kirtay, J. Chevalère, H. Hübert, V. V. Hafner, N. Pinkwart, and R. Lazarides. Challenges in Designing Teacher Robots with Motivation Based Gestures. Proceedings of the Workshop on Robot Curiosity in Human Robot Interaction, 2023. J. Chevalère, R. Lazarides, H. S. Yun, A. Henke, C. Lazarides, N. Pinkwart, and V. V. Hafner. Do instructional strategies considering activity emotions reduce students’ boredom in a computerized open-ended learning environment? Computers & Education, volume 197, pages 104741, 2023. H. S. Yun, H. Hübert, V. Taliaronak, R. Mayet, M. Kirtay, V. V. Hafner, and N. Pinkwart. AI-Based Open-Source Gesture Retargeting to a Humanoid Teaching Robot. International Conference on Artificial Intelligence in Education, pages 276-279, 2022. H. S. Yun, M. Karl, and A. Fortenbacher. Designing an interactive second language learning scenario: a case study of Cozmo. Proceedings of HCI Korea, pages 384-387, 2020. H. Yun, A. Fortenbacher, S. Geißler, and T. Heumos. Towards External Regulation of Emotions using Sensors: two case studies. INTED2020 Proceedings, 2020. H. Yun, A. Fortenbacher, and P. Scaff. Visualization of Learning Process and Learner’s Emotions: Current State, Limitations and Future Work. Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life", 2019. H. Yun and A. Fortenbacher. Listen to your body: making learners aware of their cognitive and affective state. The 20th of International Conference on Education Research, Seoul National University, October 2019. H. Yun, S. Riazy, A. Fortenbacher, and K. Simbeck. Code of Practice for Sensor-Based Learning. Die 17. Fachtagung Bildungstechnologien, Gesellschaft für Informatik e.V. (GI), pages 199-204, September 2019. A. Fortenbacher, M. Ninaus, H. Yun, R. Helbig, and K. Moeller. Towards Sensor-Based Learning: Lessons Learned from LISA. Die 17. Fachtagung Bildungstechnologien, Gesellschaft für Informatik e.V. (GI), pages 193-198, September 2019. H. Yun, A. Fortenbacher, R. Helbig, and N. Pinkwart. Design Considerations for a mobile Sensor-Based Learning Companion. the 18th International Conference on Web-based Learning (ICWL), September 2019. H. Yun, A. Fortenbacher, R. Helbig, and N. Pinkwart. In Search of Learning Indicators: A Study on Sensor Data and IAPS Emotional Pictures. the 11th International Conference on Computer Supported Education, volume 2, pages 111-121, May 2019. H. Yun, A. Fortenbacher, R. Helbig, S. Geißler, and N. Pinkwart. Emotion Recognition from Physiological Sensor Data to Support Self-regulated Learning. International Conference on Computer Supported Education, 2019. 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 ), volume 2250, 2018. H. Yun, A. Fortenbacher, N. Pinkwart, T. Bisson, and F. Moukayed. A Pilot Study of Emotion Detection using Sensors in a Learning Context: Towards an Affective Learning Companion. Preconference Workshops of DeLFI 2017, Die 15. e-Learning Fachtagung Informatik, der Gesellschaft für Informatik e.V., pages 15-25, 2017. V. Brovkov, A. Fortenbacher, J. H. Israel, and H. Yun. A Mobile Sensor Device for Learning Support: Design Considerations. In V Ukrainian-German conference „Informatics. Culture. Technology, 2017. 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. A. Fortenbacher, N. Pinkwart, and H. Yun. [LISA] Learning Analytics for Sensor-based Adaptive Learning. Proceedings of the Seventh International Learning Analytics \& Knowledge Conference, ACM, 2017. H. Yun, A. Fortenbacher, and N. Pinkwart. Improving a Mobile Learning Companion for Self-regulated Learning using Sensors. {CSEDU} 2017 - Proceedings of the 9th International Conference on Computer Supported Education, volume 1, 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), volume 1669, 2016. 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.