most citedLessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild

4 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20242 cited

Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots

Yueqiao Jin, Kaixun Yang, Lixiang Yan +8

Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educatio…

cs.LG20241 cited

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning

Lixiang Yan, Dragan Gašević, Linxuan Zhao +3

Multimodal Learning Analytics (MMLA) leverages advanced sensing technologies and artificial intelligence to capture complex learning processes, but integrating diverse data sources…

cs.CY20242 cited

FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics

Yueqiao Jin, Vanessa Echeverria, Lixiang Yan +5

Multimodal Learning Analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during comp…

cs.HC20234 cited

Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations

Lixiang Yan, Vanessa Echeverria, Gloria Fernandez Nieto +5

Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional…

cs.HC20234 cited

Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild

Roberto Martinez-Maldonado, Vanessa Echeverria, Gloria Fernandez-Nieto +10

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing and artificial intelligence algorithms to collect rich data about learning activities that unf…