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Daniel Spikol
Daniel Spikol
Associate Professor of Computer Science, University of Copenhagen
Dirección de correo verificada de di.ku.dk
Título
Citado por
Citado por
Año
Mobile learning: Small devices, big issues
M Sharples, I Arnedillo-Sánchez, M Milrad, G Vavoula
Technology-enhanced learning: Principles and products, 233-249, 2009
13162009
Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning
D Spikol, E Ruffaldi, G Dabisias, M Cukurova
Journal of Computer Assisted Learning 34 (4), 366-377, 2018
2292018
Anytime, anywhere learning supported by smart phones: Experiences and results from the MUSIS project
M Milrad, D Spikol
Journal of Educational Technology & Society 10 (4), 62-70, 2007
1372007
Integrating mobile, web and sensory technologies to support inquiry-based science learning
B Vogel, D Spikol, A Kurti, M Milrad
2010 6th IEEE international conference on wireless, mobile, and ubiquitous …, 2010
1322010
Bridging outdoors and indoors educational activities in schools with the support of mobile and positioning technologies
A Kurti, D Spikol, M Milrad
International Journal of Mobile Learning and Organisation 2 (2), 166-186, 2008
1092008
Physical activities and playful learning using mobile games
D Spikol, M Milrad
Research and Practice in Technology Enhanced Learning 3 (03), 275-295, 2008
882008
Integrating co-design practices into the development of mobile science collaboratories
D Spikol, M Milrad, H Maldonado, R Pea
2009 ninth IEEE international conference on advanced learning technologies …, 2009
792009
Combining physical activities and mobile games to promote novel learning practices
D Spikol, M Milrad
Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous …, 2008
702008
An analysis framework for collaborative problem solving in practice-based learning activities: A mixed-method approach
M Cukurova, K Avramides, D Spikol, R Luckin, M Mavrikis
Proceedings of the Sixth International Conference on Learning Analytics …, 2016
662016
Estimation of success in collaborative learning based on multimodal learning analytics features
D Spikol, E Ruffaldi, L Landolfi, M Cukurova
2017 IEEE 17th international conference on advanced learning technologies …, 2017
632017
Modelling collaborative problem-solving competence with transparent learning analytics: is video data enough?
M Cukurova, Q Zhou, D Spikol, L Landolfi
Proceedings of the tenth international conference on learning analytics …, 2020
522020
Using multimodal learning analytics to identify aspects of collaboration in project-based learning
D Spikol, E Ruffaldi, M Cukurova
CSCL’17: The 12th International Conference on Computer Supported …, 2017
512017
Physical computing with plug-and-play toolkits: Key recommendations for collaborative learning implementations
ES Katterfeldt, M Cukurova, D Spikol, D Cuartielles
International Journal of Child-Computer Interaction 17, 72-82, 2018
462018
Lessons from designing geometry learning activities that combine mobile and 3D tools
D Spikol, J Eliasson
2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous …, 2010
462010
Research trends in multimodal learning analytics: A systematic mapping study
H Ouhaichi, D Spikol, B Vogel
Computers and Education: Artificial Intelligence 4, 100136, 2023
372023
Guest editorial: trends and research issues of learning analytics and educational big data
GJ Hwang, D Spikol, KC Li
Journal of Educational Technology & Society 21 (2), 134-136, 2018
362018
Mobile devices as support rather than distraction for mobile learners: Evaluating guidelines for design
J Eliasson, TC Pargman, J Nouri, D Spikol, R Ramberg
Innovations in mobile educational technologies and applications, 61-76, 2013
362013
Designing innovative learning activities using ubiquitous computing
A Kurti, M Milrad, D Spikol
Seventh IEEE International Conference on Advanced Learning Technologies …, 2007
342007
Exploring how pervasive computing can support situated learning
A Kurti, D Spikol, M Milrad, M Svensson, O Pettersson
Pervasive Learning, 19-26, 2007
322007
The multimodal learning analytics handbook
M Giannakos, D Spikol, D Di Mitri, K Sharma, X Ochoa, R Hammad
Springer, 2022
312022
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Artículos 1–20