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This page lists my research publications, including journal articles, conference papers, and other scholarly works. Click on the titles for more information, including abstracts, links to full texts, and related resources.
Conference Papers
- Short Paper: “Field report for Platform mBox: Designing an Open MMLA Platform”
- Authors: Zaibei Li, Martin Thoft Jensen, Alexander Nolte, Daniel Spikol
- Conference: LAK: Learning Analytics and Knowledge, Kyoto, Mar 2024.
- Abstract: Multimodal Learning Analytics (MMLA) is an evolving sector within learning analytics that has become increasingly useful for examining complex learning and collaboration dynamics for group work across all educational levels. The availability of low-cost sensors and affordable computational power allows researchers to investigate different modes of group work. However, the field faces challenges stemming from the complexity and specialization of the systems required for capturing diverse interaction modalities, with commercial systems often being expensive or narrow in scope and researcher-developed systems needing to be more specialized and difficult to deploy. Therefore, more user-friendly, adaptable, affordable, open-source, and easy-to-deploy systems are needed to advance research and application in the MMLA field. The paper presents a field report on the design of mBox that aims to support group work across different contexts. We share the progress of mBox, a low-cost, easy-to-use platform grounded on learning theories to investigate collaborative learning settings. Our approach has been guided by iterative design processes that let us rapidly prototype different solutions for these settings.
Workshops and Others
- Workshop Paper: “MBOX Lightweight Voice Analysis Sensors for MMLA”
- Authors: Daniel Spikol, Zaibei Li, Sergio Serrano-Iglesias, Hamza Ouhaichi and Bahtijar Vogel
- Event: CROSSMMLA & SLE Workshop: Learning Analytics for Smart LearningEnvironments Crossing Physical and Virtual Learning Spaces, LAK 22, Online, Mar 2022.
- Abstract: This abstracts presents MBOX, a scalable and lightweight system that integrates data collection, data analysis and instructive feedback to evaluate participants’ engagement levels of learning activities.
- Workshop Paper: “Challenges of the adoption of MultiModal Learning Analytics in Smart Learning Environments”
- Authors: Sergio Serrano-Iglesias, Daniel Spikol, Miguel L. Bote-Lorenzo, Eduardo Gómez-Sánchez and Zaibei Li
- Event: CROSSMMLA & SLE Workshop: Learning Analytics for Smart LearningEnvironments Crossing Physical and Virtual Learning Spaces, LAK 22, Online, Mar 2022.
- Abstract: This abstract explores such challenges in the context of the integration of MBOX (Multimodal Box), a lightweight toolbox for collecting human interactions for collaborative learning scenarios, and SCARLETT (Smart Context-Aware Recommendation of Learning Extensions in ubiquiTous seTtings), an SLE designed to facilitated the management and coordination of multiple learning environments across spaces to deploy personalized recommendations [3].
Please feel free to contact me for more information about any of these publications.