Enhancing Learning Opportunities for CS: Experiences from Two Learning Systems
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-52287-2_19
Reference38 articles.
1. Aldowah, H., Al-Samarraie, H., Fauzy, W.M.: Educational data mining and learning analytics for 21st century higher education: a review and synthesis. Telematics Inform. 37, 13–49 (2019)
2. Apiola, M., Karunaratne, T., Kaila, E., Laakso, M.: Experiences from digital learning analytics in finland and sweden: a collaborative approach. In: 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 627–632, May 2019
3. Apiola, M., Laakso, M.J.: The impact of self-theories to academic achievement and soft skills in undergraduate CS studies: first findings. In: Innovation and Technology in Computer Science Education (ITiCSE 2019), pp. 16–22. ACM. Aberdeen (2019)
4. Apiola, M., Laakso, M.J.: The role of implicit theories in computer science and engineering studies: first findings and review. In: Proceedings of IEEE Frontiers in Education 2019 Conference. IEEE (2019)
5. Apiola, M., Lokkila, E., Laakso, M.J.: Digital learning approaches in an intermediate-level computer science course. Int. J. Inf. Learn. Technol. 36(5), 467–484 (2019)
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