Learning analytics provides us with a data-driven look at students’ learning behaviour. In this series of sessions various colleagues will share their experiences in using different learning analytics tools. There will also be demonstrations on how you can use these tools.
| Date: | 3 & 5 October 2022 |
| Time: | 11:30 am – 12:30 pm (3 October); 12:30 pm – 1:30 pm (5 October) |
| Venue: | Online Mode through Zoom |
| Target: | All Staff |
Participation in these workshops can be counted towards the Certificate Course “Introduction to Teaching in Higher Education” under the theme, “Learning and Teaching Support”.
3 October 2022 @ 11:30 am – 12:30 pm
A Learning Analytics Tool Used for Peer Sharing of Students’ Presentation Materials
Abstract
Often we have little information about how students read, e.g., how much time they spend on different pages, which parts they have more questions. BookRoll is a learning analytics tool integrated in Moodle that provides an interface for students to read articles prepared by academic/teaching staff or fellow classmates, while allowing them to add notes and highlight texts of their choice. Students’ reading activities will then be summarised in a dashboard for further scrutiny by academic/teaching staff.
In addition to showing how to use BookRoll via Moodle, this workshop will have Dr Winnie Lam of MIT to share with us how she has used BookRoll in her course to facilitate peer sharing of students’ presentation materials so as to encourage student involvement in assessment.
| Speaker: | Dr Winnie Lam Associate Head and Senior Lecturer, Department of Mathematics and Information Technology |
| Facilitators: | Dr William Cheung, Mr Dillan Chen |
5 October 2022 @ 12:30 pm – 1:30 pm
Behaviour Analytics:
A Learning Analytics Tool that Visualises Students’ Sequential Access to Moodle Resources
Abstract
Academic/teaching staff often would like to have a better idea about how students make use of the resources on Moodle. Behaviour Analtyics is a Moodle plug-in that addresses this need: by displaying various Moodle resources as a network of nodes, Behaviour Analytics shows the sequence in which students access these resources. Its clustering function can also suggest to us students who demonstrate similar access patterns on Moodle.
| Speaker: | Mr Andy Cho Senior Lecturer, Department of Psychology |
| Facilitators: | Dr William Cheung, Dr Charlie Yeung |