Daniel Spikol

Daniel Spikol

Lektor, Gæstelektor

Medlem af:

    ORCID: 0000-0001-9454-0793

    Udgivelsesår:
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    1. 2021
    2. Udgivet

      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. (red.). IEEE, s. 122-126 5 s. (Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Udgivet

      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, I: CEUR Workshop Proceedings. 3024, s. 24-30

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    4. 2020

    5. 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, s. 270-275 6 s. (ACM International Conference Proceeding Series).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. 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, I: CEUR Workshop Proceedings. 2610

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    7. 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, I: British Journal of Educational Technology. 51, 5, s. 1597-1614 18 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    8. 2018

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

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

      Publikation: Bidrag til tidsskrift › Leder › Forskning › fagfællebedømt

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

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    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, I: CEUR Workshop Proceedings. 2163

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

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

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    13. 2017

    14. Diagnosing collaboration in practice-based learning: Equality and intra-individual variability of physical interactivity

      Cukurova, M., Luckin, R., Millán, E., Mavrikis, M. & Spikol, Daniel, 2017, Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings. Broisin, J., Lavoue, E., Drachsler, H., Verbert, K. & Perez-Sanagustin, M. (red.). Springer Verlag, s. 30-42 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10474 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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