LUIS PABLO
PRIETO SANTOS
POSDOCTORAL RAMÓN Y CAJAL
Publicaciones (115) Publicaciones de LUIS PABLO PRIETO SANTOS
2024
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Bringing Collaborative Analytics using Multimodal Data to Masses: Evaluation and Design Guidelines for Developing a MMLA System for Research and Teaching Practices in CSCL
ACM International Conference Proceeding Series
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How well do collaboration quality estimation models generalize across authentic school contexts?
British Journal of Educational Technology, Vol. 55, Núm. 4, pp. 1602-1624
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The Impact of Attribute Noise on the Automated Estimation of Collaboration Quality Using Multimodal Learning Analytics in Authentic Classrooms
Journal of Learning Analytics, Vol. 11, Núm. 2, pp. 73-90
2023
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CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions
Journal of Universal Computer Science, Vol. 29, Núm. 3, pp. 265-297
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Designing Technology for Doctoral Persistence and Well-Being: Findings from a Two-Country Value-Sensitive Inquiry into Student Progress
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Exploring Indicators for Collaboration Quality and Its Dimensions in Classroom Settings Using Multimodal Learning Analytics
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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How to Build More Generalizable Models for Collaboration Quality? Lessons Learned from Exploring Multi-Context Audio-Log Datasets using Multimodal Learning Analytics
ACM International Conference Proceeding Series
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How to Build More Generalizable Models for Collaboration Quality?: Lessons Learned from Exploring Multi-contexts Audio-log Datasets Using Multimodal Learning Analytics
LAK23 Conference Proceeding: 13th International Learning Analytics and Knowledge Conference (Association for Computing Machinery, ACM), pp. 111-121
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Impact of Window Size on the Generalizability of Collaboration Quality Estimation Models Developed Using Multimodal Learning Analytics
LAK23 Conference Proceeding: 13th International Learning Analytics and Knowledge Conference (Association for Computing Machinery, ACM), pp. 559-565
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Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics
ACM International Conference Proceeding Series
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Multimodal Learning Analytics Research in the Wild: Challenges and their Potential Solutions
CEUR Workshop Proceedings
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Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education
Journal of Universal Computer Science, Vol. 29, Núm. 9, pp. 1033-1068
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Studying teacher withitness in the wild: comparing a mirroring and an alerting & guiding dashboard for collaborative learning
International Journal of Computer-Supported Collaborative Learning, Vol. 18, Núm. 4, pp. 575-606
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The evaluation of school-university partnerships that improve teaching and learning practices: A systematic review
Educational Research Review, Vol. 39
2022
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CDM4MMLA: Contextualized Data Model for MultiModal Learning Analytics
The Multimodal Learning Analytics Handbook (Springer International Publishing), pp. 205-229
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Classroom data collection for teachers’ data-informed practice
Technology, Pedagogy and Education, Vol. 31, Núm. 1, pp. 123-140
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Co-Designing a Multimodal Dashboard for Collaborative Analytics
Proceedings of International Conference of the Learning Sciences, ICLS
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Co-Designing a Multimodal Dashboard for Collaborative Analytics
Computer-Supported Collaborative Learning Conference, CSCL
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Correction to: Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard (Technology, Knowledge and Learning, (2022), 27, 3, (971-989), 10.1007/s10758-021-09522-5)
Technology, Knowledge and Learning
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Design Analytics for Mobile Learning: Scaling up the Classification of Learning Designs Based on Cognitive and Contextual Elements
Journal of Learning Analytics, Vol. 9, Núm. 2, pp. 236-252