Naslov
Discovering and Mapping LMS Course Usage Patterns to Learning Outcomes

Autori
Etinger, Darko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. / Ahram, T. ; Karwowski, W. ; Vergnano, A. ; Leali, F. ; Taiar, R. - Cham : Springer, 2020, 486-491

ISBN
978-3-030-39511-7

Skup
3rd International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2020)

Mjesto i datum
Modena, Italija, 19.02.2020. - 21.02.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Usage patterns ; Process mining ; Process discovery ; Learning management systems

Sažetak
The widespread use of Learning Management Systems in higher education, a growing adoption of e- learning, distance, hybrid and blended learning puts much pressure onto both students, to achieve learning goals and lecturers, to design high quality online courses. Lecturers typically evaluate how much the students have achieved at the end of the course. This exploratory study attempts to uncover the relationship between usage behavior and students’ grades, i.e. what are the online course usage patterns performed by higher graded students in contrast to lower graded ones. The core data is of the analysis are the event logs extracted from the online course Modeling and simulation at the Faculty of informatics in Pula and mapped to the students’ grades accumulated from the final exams, assignments, projects and class tasks. Process mining techniques were used for process discovery and process model analysis. A set of procedures were developed (within the R programming environment) to analyze the discovered process models. The findings indicate that a better understanding of online course usage patterns and its relationship with learning outcomes can be used to develop intelligent systems (recommender systems, intelligent agents, intelligent personal assistants etc.) that can improve students’ learning process.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA