Trustworthy Learning Analytics and Artificial Intelligence for Sound Learning Design
News
These projects are led by Professor Blaženka Divjak, PhD, at the Faculty of Organization and Informatics…
From 3 to 7 March 2025 the 15th International Conference on Learning Analytics and Knowledge (LAK25) was…
On 5 and 6 November 2024, a conference on Challenges in Transforming Education and Enhancing the Future of…
4
Years
Years
120 000 €
Budget
Budget
9
FOI team
members
FOI team
members
8
International
experts
International
experts
About TRUELA
Trustworthy Learning Analytics and Artificial Intelligence for Sound Learning Design (TRUELA) is a research project financed by the Croatian Science Foundation (IP-2022-10-2854), led by Professor Blaženka Divjak, PhD. The project will be implemented between 30 December 2023 and 29 December 2027, with the total budget amounting to 119.344,35 EUR. The project aims to develop new LA and AI approaches and methods that use large amounts of data generated (primarily) in learning management systems. These methods and approaches will generate learning analytics that inform learning design, and support the implementation of innovative teaching methods and e-assessment strategies. Moreover, the project aims to detect and analyze learning patterns in online and blended learning environments, and thus advance the understanding of learning processes.
Specific objectives
- SO1 Development of a framework for trustworthy LA and AI algorithm(s) that will be used to support comparison of intended LD against LD of existing courses in a learning management system, and to provide recommendations for improvements aligned with the LD
- SO2 Development of a methodology based on trustworthy LA for evaluation of students’ learning paths leading to the intended learning outcomes (LOs) as support for teachers in LD development
- SO3 Development of method(s) for identification of learning patterns of successful students and those who are lagging behind, based on their digital footprint in the LMS (learning paths and assessment data) and LA
- SO4 Development of a methodology based on LA to support valid, reliable and trustworthy e-assessment
- SO5 Researching the needs and impact, and providing training for HE teachers to revise HE curricula, using LD, LA, AI, and e-assessment, supporting flexible learning pathways
TRUELA team
An experienced interdisciplinary team supported by leading international experts in learning analytics and education.
Prof. Blaženka Divjak, PhD, Principal Investigator
FOI team
- Prof. Vjeran Strahonja, PhD
- Prof. Valentina Kirinić, PhD
- Prof. Zlatko Erjavec, PhD
- Assoc. Prof. Goran Hajdin, PhD
- Assist. Prof. Petra Žugec, PhD
- Petra Vondra, MA
- Damir Horvat, MA
- Barbi Svetec, MA
International experts
- Prof. Bart Rienties, PhD, The Open University
- Prof. Dragan Gašević, PhD, Monash University
- Mladen Raković, PhD, Monash University
- Yi-Shan Tsai, PhD, Monash University
- Prof. Wim Van Petegem, PhD, KU Leuven
- Prof. Hanni Muukkonen, PhD, Oulu University
- Prof. Lourdes Guardia, PhD, Open University of Catalonia
- Prof. Alexander Tillmann, PhD, Goethe University
Publications
This section presents all publications produced within the TRUELA project, reflecting its research contributions to trustworthy and ethical learning analytics.
Decoding Learning Design Decisions: A Cluster Analysis of 12,749 Teaching and Learning Activities
J. Albuquerque, B. Rienties, B. Divjak (2025).
The Impact of Learning Design on the Mastery of Learning Outcomes in Higher Education
B. Divjak, A. Barthakur, V. Kovanović, B. Svetec (2025).
Predicting the Outcomes of PBL: Comparison of Two Methods
Svetec, B., Divjak, B., Horvat, D., Pažur Aničić, K. (2024).
Automating the Comparison of Learning Design and Delivery Using Course Scaffolding in Moodle
Divjak, B., Grabar, D., Vondra, P., Svetec, B. (2024).
Navigating Strategic Challenges in Education in the Post-pandemic AI Era
Divjak, B. (2024)