Research output per year
Research output per year
Personal profile
Short presentation
Daniel Sipkol is Associate Professor of Computational Thinking at the Center for Digital Education, Departments of Computer Science and Science Education. His research investigates how people collaborate with multimodal learning analytics (inspired by social signal processing ambient computing). He develops technologies that support learning, play, and reflection. His current work uses physical computing to inspire learners for computational tinkering and thinking.
Keywords
- Faculty of Science
- Learning Analytics
- Human Computer Interaction
- Computer Science
- Computational Thinking
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Exploring design considerations for multimodal learning analytics systems: an interview study
Ouhaichi, H., Bahtijar, V. & Spikol, D., 2024, In: Frontiers in Education. 9, 15 p., 1356537.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure) -
Exploring the nature of peer feedback: An epistemic network analysis approach
Viberg, O., Baars, M., Mello, R. F., Weerheim, N., Spikol, D., Bogdan, C., Gasevic, D. & Paas, F., 2024, (E-pub ahead of print) In: Journal of Computer Assisted Learning.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Field report for Platform mBox: Designing an Open MMLA Platform
Li, Z., Jensen, M. T., Nolte, A. & Spikol, D., 2024, LAK24 Conference Proceedings: Learning Analytics in the Age of Artificial Intelligence. Association for Computing Machinery, p. 785-791 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile2 Citations (Scopus)12 Downloads (Pure) -
Preface of the Doctoral Consortium of the Learning Analytics Summer Institute Europe 2024 (LASI Europe 2024 DC)
Dimitriadis, Y., Cerezo, R., Balderas, A., Martínez-Monés, A. & Spikol, D., 2024, CEUR Workshop Proceedings. (CEUR Workshop Proceedings, Vol. 3788).Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research
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The Future of Hackathon Research and Practice
Falk, J., Nolte, A., Huppenkothen, D., Weinzierl, M., Gama, K., Spikol, D., Tollerud, E., Hong, N. C., Knäpper, I. & Hayden, L. B., 2024, (E-pub ahead of print) In: IEEE Access.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Editorial: Re-inventing project-based learning: Hackathons, datathons, devcamps as learning expeditions
Chounta, I. A., Hoppe, H. U., Nolte, A. & Spikol, D., 2023, In: Frontiers in Education. 8, 3 p., 1182264.Research output: Contribution to journal › Editorial › Research › peer-review
Open AccessFile1 Citation (Scopus)26 Downloads (Pure) -
Research trends in multimodal learning analytics: A systematic mapping study
Ouhaichi, H., Spikol, D. & Vogel, B., 2023, In: Computers and Education: Artificial Intelligence. 4, 12 p., 100136.Research output: Contribution to journal › Review › Research › peer-review
Open AccessFile22 Citations (Scopus)5 Downloads (Pure) -
Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems
Ouhaichi, H., Spikol, D. & Vogel, B., 2023, L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. Association for Computing Machinery, p. 354-359 6 p. (L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile3 Citations (Scopus)2 Downloads (Pure)
Press/Media
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CAN QUANTITATIVE ETHNOGRAPHY HELP TELL THE COVID-19 STORY?
20/06/2020
1 item of Media coverage
Press/Media: Press / Media