Generative AI can be a good assisstant in practicing languages. In this project, we explore how AI can be used as conversational aid to acquire a language while facilitating the collection of multimodal data for learning analytics
Published in International Conference on Software Business, 2019
An action research study identifying the challenges of managing dynamic data in an activity recognition system.
Published in International Conference on Advanced Learning Technologies (ICALT), 2021
A design prototype for a flexible MMLA system.
Published in EC-TEL: Learning Analytics for Smart Learning Environments, 2021
Supporting smart learning environments by MMLA.
Published in CROSSMMLA & SLE Workshop at LAK 22, 2022
A design prototype for a lightweight MMLA system.
Published in Computers and Education: Artificial Intelligence, 2023
Research trends in Multimodal learning Analytics
Published in Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
The design process of MMLA system is challenging and multifaceted. Here, we explore design considerations to build a foundation for facilitating the design of MMLA systems.
Published in Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU, 2024
Designing an MMLA system for the Glocal Classroom (a unique hybrid learning environment).
Published in MIS4TEL 24 - [preprint], 2024
Exploring how can MMLA and generative AI support languge acquisition.
Published in 24th IEEE International Conference on Advanced Learning Technologies (ICALT 24) - [preprint], 2024
Prototyping an MMLA system for global hybrid learning environment.
Published in 16th International Conference on Education and New Learning Technologies, 2024
A review exploring models and frameworks in MMLA literature.
Published in 16th International Conference on Education and New Learning Technologies, 2024
Smart assistants that could be used with MMLA for language acquisition.
Published in Frontiers in Education | Actionable Learning Analytics in Education: An opportunity to close the learning loop, 2024
Evaluating existing and exploring more Design Considerations for Multimodal Learning Analytics Systems through interviews with experts.