| Item Type |
Conference or Workshop Item
(Paper)
|
| Abstract |
The ability of students to self-monitor their learning paths is in demand as never before due to the recent rise of online education formats, which entails less interaction with lecturers. Recent advantages in educational process mining (EPM) offer new opportunities to monitor students’ learning paths by processing log data captured by technology-mediated learning environments. However, current literature falls short on providing user-centered design principles for IT-tools which can monitor learning paths using EPM. Hence, in this paper, we examine how to design a self-monitoring tool that supports students to evaluate their learning paths. Based on theoretical insights of 66 papers and nine user interviews, we propose seven design principles for an IT-tool which facilitates self-monitoring for students based on EPM. Further, we evaluate the design principles with seven potential users. Our results demonstrate a promising approach to help students improve their self-efficacy in their individual learning process using EPM. |
| Authors |
Ritz, Eva; Wambsganss, Thiemo; Rietsche, Roman; Schmitt, Anuschka; Oeste-Reiß, Sarah & Leimeister, Jan Marco |
| Research Team |
IWI6 |
| Journal or Publication Title |
Internationale Tagung Wirtschaftsinformatik (WI) |
| Language |
English |
| Keywords |
Educational Process Mining, Self-Regulated Learning, Technology-Mediated Learning, Personal Learning Paths, Design Science Research |
| Subjects |
information management |
| HSG Classification |
contribution to scientific community |
| Date |
23 February 2022 |
| Place of Publication |
Nürnberg, Germany |
| Number of Pages |
16 |
| Event Title |
Internationale Tagung Wirtschaftsinformatik (WI) |
| Event Location |
Nuremberg, Germany |
| Event Dates |
21-23 Feb 2022 |
| Official URL |
https://aisel.aisnet.org/wi2022/digital_education/... |
| Depositing User |
Dr. Mahei Li
|
| Date Deposited |
11 May 2022 12:52 |
| Last Modified |
20 Jul 2022 17:48 |
| URI: |
https://www.alexandria.unisg.ch/publications/266252 |
Unleashing Process Mining for Education: Designing an IT-Tool for Students to Self-Monitor their Personal Learning Paths
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