Publications

2024

  • Bringing Collaborative Analytics using Multimodal Data to the Masses: Evaluation and Design Guidelines for Developing a MMLA System for Research and Teaching Practices in CSCL
    Chejara, P., Kasepalu, R., Prieto, L., P., Rodríguez-Triana, M. J., & Ruiz-Calleja, A.
    14th International Learning Analytics and Knowledge Conference (2024)
    Details DOI PDF

  • How well do collaboration quality estimation models generalize across authentic school contexts
    Chejara, P., Kasepalu, R., Prieto, L., P., Rodríguez-Triana, M. J., Ruiz-Calleja, A., & Schneider, B.
    British Journal of Educational Technology (2024)
    Details DOI PDF

  • Impact of data noise on the performance of supervised machine learning models using multimodal data to estimate collaboration quality
    Chejara, P., Prieto, L., P., Dimitriadis, Y., Rodríguez-Triana, M. J., Ruiz-Calleja, A., Kasepalu, R., & Shankar, S. K
    Journal of Learning Analytics (2024)
    Details DOI PDF

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2023

  • CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions.
    Shankar, S. K., Ruiz-Calleja, A., Prieto, L. P., Rodríguez-Triana, M. J., Chejara, P., & Tripathi, S.
    Journal of Universal Computer Science (2023)
    Details DOI PDF

  • Exploring indicators for collaboration quality and its dimensions in classroom settings using multimodal learning analytics
    Chejara, P., Prieto, L. P., Rodríguez-Triana, M. J., Ruiz-Calleja, A., Kasepalu, R. Chounta, I.-A., & Schneider, B.
    In the 18th European Conference on Technology Enhanced Learning (EC-TEL) (2023)
    Details DOI PDF

  • How to build more generalizable models for collaboration quality? Lessons learned from exploring multi-contexts audio-log datasets using Multimodal Learning Analytics
    Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., Kasepalu, R. & Shankar, S. K.,
    13th International Learning Analytics and Knowledge Conference (2023)
    Details DOI Preprint

  • Impact of window size on the generalizability of collaboration quality estimation models developed using multimodal learning analytics.
    Chejara, P., Prieto, L. P., Rodríguez-Triana, M. J., Ruiz-Calleja, A., & Khalil, M.
    13th International Learning Analytics and Knowledge Conference (2023)
    Details DOI Preprint

  • Multimodal Learning Analytics Research in the Wild: Challenges and Their Potential Solutions.
    Chejara, P., Kasepalu, R. Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Shankar, S. K.
    13th International Learning Analytics and Knowledge Conference (2023)
    Details DOI PDF

  • Studying teacher withitness in the wild: comparing a mirroring and an alerting & guiding dashboard for collaborative learning
    Kasepalu, R., Chejara, P., Prieto, L.P., & Ley, T.
    International Journal of Computer-Supported Collaborative Learning (2023)
    Details DOI PDF

  • Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model‐based learning analytics
    Kasepalu, R., Chejara, P., Prieto, L.P., & Ley, T.
    International Journal of Computer-Assisted Learning (2023)
    Details DOI PDF

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2022

  • Co-designing a multimodal dashboard for collaborative analytics
    Kasepalu, R., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Prieto, L. P.
    15th International Conference on Computer-Supported Collaborative Learning (CSCL) (2022)
    Details

  • Do teachers find dashboards trustworthy, actionable and useful? A vignette study using a logs and audio dashboard
    Kasepalu, R., Chejara, P., Prieto, L. P., & Ley, T.
    Technology, Knowledge and Learning (2022)
    Details DOI PDF

  • Teacher AI-Supported Pedagogical Actions in Collaborative Learning Coregulation: A Wizard-of-Oz Study
    Kasepalu, R., Ley, T., Prieto, L. P., & Chejara, P.
    Frontiers in Education (2022)
    Details DOI PDF

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2021

  • EFAR-MMLA: An evaluation framework to assess and report generalizability of machine learning models in MMLA
    Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., Shankar, S. K., & Kasepalu, R.
    Sensors (2022)
    Details DOI PDF

  • Exploring the triangulation of dimensionality reduction when interpreting multimodal learning data from authentic settings
    Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Shankar, S. K.
    14th European Conference on Technology Enhanced Learning (EC-TEL) (2021)
    Details DOI

  • Quantifying collaboration quality in face-to-face classroom settings using MMLA
    Chejara, P., Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., Shankar, S. K., & Kasepalu, R.
    International Conference on Collaboration Technologies and Social Computing (CollabTech) (2021)
    Details DOI PDF

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