The 4th LAK InnovateDesign Workshop:
Evaluating the Quality of Learning Design of Courses and Curricula
Organizers
Blaženka Divjak, Darko Grabar, Barbi Svetec, Petra Vondra
University of Zagreb, Faculty of Organization and Informatics, Croatia
Dragan Gašević, Mladen Raković
Monash University, Faculty of Information Technology, Australia
Bart Rienties
The Open University, Institute of Educational Technology, United Kingdom
Thomas Penniston
University of Maryland, Baltimore County, USA
About the workshop
This workshop is fourth in the series of InnovateDesign workshops, which have
introduced the LAK community to the innovative concept of learning design (LD) and a
complimentary tool for creating and analyzing LD, provided a platform to discuss AI's role in
LD, as well as the intersection of learning analytics (LA) and AI-supported LD. To provide a
background for a further discussion on LD, LA and AI, editors of the special issue of the
International Journal of Educational Technology in Higher Education will give an overview of
the research presented in the special issue. After that, examples of LDs of courses and a study
program will be presented to demonstrate and encourage discussion on the possible use of LD
data. The discussion will include, for example, the use of LD data to analyse learning paths and
patterns, and recognize the quality of LD, both on the level of a course and a study program
(curriculum analytics). Finally, participants will do some hands-on work in the LD tool and
provide their feedback. This half-day, in-person workshop is a collaborative effort by four
esteemed universities from Europe, Australia and USA.
Organized in the scope of
LAK 2026 conference
Draft Workshop Agenda
2026 | date, time and venue details will be announced later
| Duration |
Description |
Responsible |
| 10 min |
Introduction |
Organizer 1 |
| 30 min |
Overview of the ETHE special issue |
Organizer 1, 3 |
| 20 min |
Showcasing: good examples of learning design |
Organizer 1, 3 |
| 30 min |
Discussion: use of learning design data (part 1) |
All |
| 30 min |
Coffee break |
|
| 30 min |
Current research using learning design data |
All |
| 50 min |
Discussion: use of learning design data (part 2) & hands-on activities |
All |
| 10 min |
Feedback, future steps and conclusions |
All |