Abstract
In this article, we introduce how eye-tracking technology might become a promising tool to teach programming skills, such as debugging with ĝ€-Eye Movement Modeling Examples' (EMME). EMME are tutorial videos that visualize an expert's (e.g., a programming teacher's) eye movements during task performance to guide students' attention, e.g., as a moving dot or circle. We first introduce the general idea behind the EMME method and present studies that showed first promising results regarding the benefits of EMME to support programming education. However, we argue that the instructional design of EMME varies notably across them, as evidence-based guidelines on how to create effective EMME are often lacking. As an example, we present our ongoing research on the effects of different ways to instruct the EMME model prior to video creation. Finally, we highlight open questions for future investigations that could help improving the design of EMME for (programming) education.
Original language | English |
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Title of host publication | Proceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450371346 |
DOIs | |
Publication status | Published - Jun 2020 |
Event | 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 - Stuttgart, Germany Duration: 2 Jun 2020 → 5 Jun 2020 |
Conference
Conference | 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 |
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Country/Territory | Germany |
City | Stuttgart |
Period | 2/06/20 → 5/06/20 |
Funding
This research was funded by a grant from The Netherlands Initiative for Education Research (NRO-PROO # 405-17-301).
Keywords
- Expertise
- Eye Movement Modeling Examples
- Eye tracking
- Instructional design