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2020 – today
- 2024
[b1]Hamza Ouhaichi:
A framework for designing and analyzing multimodal learning analytics systems. Malmö University, Sweden, 2024- [c7]Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel:
Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA. CSEDU (1) 2024: 478-485 - [c6]Hamza Ouhaichi
, Daniel Spikol, Zaibei Li, Bahtijar Vogel:
Conceptual Design of Multimodal Learning Analytics for Spoken Language Acquisition. EC-TEL (2) 2024: 144-149 - [c5]Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel, Zaibei Li:
Analytics in Glocal Classrooms: Integrating Multimodal Learning Analytics in a Smart Learning Environment. ICALT 2024: 94-96 - [c4]Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel:
Learning Swedish with AI: Exploring Multimodal Learning Analytics in Spoken Language Acquisition. MIS4TEL 2024: 178-189 - 2023
- [j1]Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel:
Research trends in multimodal learning analytics: A systematic mapping study. Comput. Educ. Artif. Intell. 4: 100136 (2023) - [c3]Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel:
Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems. L@S 2023: 354-359 - 2021
- [c2]Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel:
MBOX: Designing a Flexible IoT Multimodal Learning Analytics System. ICALT 2021: 122-126
2010 – 2019
- 2019
- [c1]Hamza Ouhaichi, Helena Holmström Olsson, Jan Bosch:
Dynamic Data Management for Machine Learning in Embedded Systems: A Case Study. ICSOB 2019: 145-154
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