TDT06 - Educational Technology
Teacher: Michalis Giannakos (firstname.lastname@example.org)
The course is taught in English.
The format of the teaching is a series of sessions for each of the topics/ seminars.
Contact the teacher if you want to enroll.
Workload: 3,75 SP
The first meeting will be on Friday, September 11th - kl.13:00-14:00. The meeting will take place in Zoom (if you have enrolled you will soon receive a calendar invitation). Information about the updated course syllabus and the structure of the course will be provided during the meeting.
The course focuses on three themes 1) Learning Systems; 2) Learning Analytics; and 3) Multimodal Learning Analytics. More specifically, the course includes learning theories, practices for developing technology-enhanced physical and digital learning experiences, learning technology applications for various tasks and settings, introduction to learning analytics, examples of learning analytics in various systems and an introduction to multimodal learning analytics.
The literature consists of several articles from various journals, book chapters, and conference proceedings. You can find the syllabus, and download the articles from the list below.
The course is taught through workshops where the students present the articles in the course followed by group work and discussions.
More information and the articles in the course will be available in the initial lecture.
Oral examination, during the last week of Nov. the dates will be specified after the kick-off of the course.
Reading list/ pensum
- Why Learning Systems?: Mayer, R. E. (2005). Cognitive theory of multimedia learning. The Cambridge handbook of multimedia learning, 41, 31-48.
- Systems for Informal Learning: Roberts, J., Banerjee, A., Hong, A., McGee, S., Horn, M., & Matcuk, M. (2018). Digital Exhibit Labels in Museums: Promoting Visitor Engagement with Cultural Artifacts. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 623). ACM.
- Gamifying learning environments: Leftheriotis, I., Giannakos, M. N., & Jaccheri, L. (2017). Gamifying informal learning activities using interactive displays: an empirical investigation of students’ learning and engagement. Smart Learning Environments, 4(1), 2.
Learning Analytics (LA)
- LA as a discipline: Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380-1400.
- LA for visualization and recommendation: Duval, E. (2011). Attention please!: learning analytics for visualization and recommendation. In Proceedings of the 1st International Conference on Learning Analytics and Knowledge (LAK '11). ACM, New York, NY, USA, 9-17. DOI=http://dx.doi.org/10.1145/2090116.2090118
- LA in video lectures: Giannakos, M. N., Chorianopoulos, K., & Chrisochoides, N. (2015). Making sense of video analytics: Lessons learned from clickstream interactions, attitudes, and learning outcome in a video-assisted course. International Review of Research in Open and Distributed Learning, 16(1), 260-283.
- LA and dashboards: Verbert, K., Govaerts, S., Duval, E., Santos, J. L., Assche, F., Parra, G., & Klerkx, J. (2014). Learning dashboards: an overview and future research opportunities. Personal and Ubiquitous Computing, 18(6), 1499-1514.
Multimodal Learning Analytics (MMLA)
- Review of MMLA methods: Blikstein, P., & Worsley, M. (2016). Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks. Journal of Learning Analytics, 3(2), 220-238.
- LA in game-based learning: Lee-Cultura, S., Sharma, K., Papavlasopoulou, S., Retalis, S., & Giannakos, M. (2020, June). Using sensing technologies to explain children's self-representation in motion-based educational games. In Proceedings of the Interaction Design and Children Conference (pp. 541-555).
- Review of MMLA methods: Sharma, K., & Giannakos, M. (2020). Multimodal data capabilities for learning: What can multimodal data tell us about learning?. British Journal of Educational Technology, e13280.
- Multimodal Data and Learning: Giannakos, M. N., Sharma, K., Pappas, I. O., Kostakos, V., & Velloso, E. (2019). Multimodal data as a means to understand the learning experience. International Journal of Information Management, 48, 108-119.