100 DAYS OF... Data for Learning | Journal Club | 29 November

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What does research tell us about data for learning?
 

In the “100 DAYS OF... Data for Learning” Journal Clubs we explore and discuss papers/research on data for learning in the context of (engineering) education. Following a flipped-classroom approach, participants read an article before each session (the article will be announced latest one week before the journal club date) and start an open, moderated, discussion on the article.
In this series of events, the core question to be addressed is: What does research on data for learning tell us about (designing) our engineering education?

To continue our exploration of data for learning in (engineering) education, the Journal Club is discussing another interesting article on 29 November. Click the yellow button below to sign up. 

• Article: Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in human behavior, 89, 98-110. 

About the article

Highlights

• Most learning analytics research undertake a descriptive approach.
• Interpretative and experimental studies prevail.
• Overall there is little evidence that shows improvements in learner practice.
• The identified potential for improving learning support and teaching is high.
• There is a shift towards a deeper understanding of students' learning experiences.

CEL Science Speaker

Olga Viberg, the author of this paper will present at the 100 DAYS OF... Data for Learning CEL Science Speaker on Wednesday 29 November.
For more information, or to join the online meeting. Click the blue button below.