Opportunities and Challenges in Learning Analytics for Learning Design
Wouldn’t it be great to be able to give insight in how students perform and like a certain learning activity? As a teacher I often ask them how did they like several learning activities during a coffee break or one of our social activities. As an institution we ask them after an Educational period of 10 weeks with a survey. This survey (called blokenquete) has one question in it about all of the learning material in the course. Besides the extra comments students can make in general there isn’t a question on separate learning activities.
Wouldn’t it be great to be able to give teachers but also students insight in how students perform in and like the learning activities they are provided. I believe that this would help students to increase performance and results and that teachers and institutions are able to provide better fit learning activities. Now often I only use my gut feeling or the “results” of conversation with the students at the coffee machine. It would be great to have an extra instrument, which based on data and input from students generates information on a learning activity level.
In a literature review, soon to be published and presented at the EC-TEL 2017 conference, I searched peer reviewed journals for experiments with learning analytics for learning design. I have been trying to identify opportunities and challenges in this field. I found it in three opportunities, who each have their own opportunities and challenges within them.
- Using on demand indicators for evidence based decisions on Learning Design
- Intervening during the run-time of a course
- Increasing student learning outcome and satisfaction
In the table below I have categorized the articles I found into the three opportunities and the subopportunities and subchallenges within. I have specific tried to look for experiments and research on Learning Design, Learning Analytics, Learning Dashboards and Metacognitive Competences. This last item is interesting to me because from a Knowledge Engineering perspective the topic of “learning to learn”, which we do as we use our meta-cognitive competences is especially interesting. Taking these competences into consideration while designing a Learning Analytics for Learning Design solution seems very relevant.
After publication of the article in the Conference Proceedings I will put a link to the article here and if my presentation is ready the slides will be available here to. For now I can only share the keynote presentation of Prof. Dr. Hendrik Drachsler who is my supervisor. He talks about the place of my and my colleagues research in the world of Learning Analytics.
After this literature review on the state of the art I am going to try to design a Learning Dashboard which incorporates a Learning Analytics for Learning Design solution, which can give information during the course and which tries to make the most of the meta-cognitive competences of the students.
If I project the opportunities and challenges on a model for a solution you will get the next figure:
I will keep you posted. But feel free to ask.