Daniel Spikol

Daniel Spikol

Associate Professor, Gæstelektor

Member of:


    1. 2021
    2. Published

      Adaptable smart learning environments supported by multimodal learning analytics

      Serrano-Iglesias, S., Spikol, Daniel, Bote-Lorenzo, M. L., Ouhaichi, H., Gómez-Sánchez, E. & Vogel, B., 2021, In: CEUR Workshop Proceedings. 3024, p. 24-30

      Research output: Contribution to journalConference articleResearchpeer-review

    3. Published

      MBOX: Designing a flexible IoT multimodal learning analytics system

      Ouhaichi, H., Spikol, Daniel & Vogel, B., 2021, Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021. Chang, M., Chen, N-S., Sampson, D. G. & Tlili, A. (eds.). IEEE, p. 122-126 5 p. (Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    4. 2020
    5. Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study

      Vujovic, M., Hernández-Leo, D., Tassani, S. & Spikol, Daniel, 1 Sep 2020, In: British Journal of Educational Technology. 51, 5, p. 1597-1614 18 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    6. Modelling collaborative problem-solving competence with transparent learning analytics: Is video data enough?

      Cukurova, M., Zhou, Q., Spikol, Daniel & Landolfi, L., 23 Mar 2020, LAK 2020 Conference Proceedings - Celebrating 10 years of LAK: Shaping the Future of the Field - 10th International Conference on Learning Analytics and Knowledge. ACM Association for Computing Machinery, p. 270-275 6 p. (ACM International Conference Proceeding Series).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    7. CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces

      Giannakos, M., Spikol, Daniel, Molenaar, I., Mitri, D. D., Sharma, K., Ochoa, X. & Hammad, R., 2020, In: CEUR Workshop Proceedings. 2610

      Research output: Contribution to journalConference articleResearchpeer-review

    8. 2018
    9. Physical computing with plug-and-play toolkits:Key recommendations for collaborative learning implementations

      Katterfeldt, E. S., Cukurova, M., Spikol, Daniel & Cuartielles, D., Sep 2018, In: International Journal of Child-Computer Interaction. 17, p. 72-82 11 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    10. Supervised machine learning in multimodal learning analytics for estimating success in project-based learning

      Spikol, Daniel, Ruffaldi, E., Dabisias, G. & Cukurova, M., Aug 2018, In: Journal of Computer Assisted Learning. 34, 4, p. 366-377 12 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    11. 2nd Crossmmla: Multimodal learning analytics across physical and digital spaces

      Martinez-Maldonado, R., Echeverria, V., Prieto, L. P., Rodriguez-Triana, M. J., Spikol, Daniel, Curukova, M., Mavrikis, M., Ochoa, X. & Worsley, M., 2018, In: CEUR Workshop Proceedings. 2163

      Research output: Contribution to journalConference articleResearchpeer-review

    12. Guest editorial: Trends and research issues of learning analytics and educational big data

      Hwang, G. J., Spikol, Daniel & Li, K. C., 2018, In: Educational Technology and Society. 21, 2, p. 134-136 3 p.

      Research output: Contribution to journalEditorialResearchpeer-review

    13. 2017
    14. Estimation of Success in Collaborative Learning Based on Multimodal Learning Analytics Features

      Spikol, Daniel, Ruffaldi, E., Landolfi, L. & Cukurova, M., 3 Aug 2017, Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017. Huang, R., Vasiu, R., Kinshuk, Sampson, D. G., Chen, N-S. & Chang, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 269-273 5 p. 8001779. (Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    ID: 255982914