The Design of an Adaptive Tool Supporting Formative Assessment in Data Science Courses-Reference-Cited by-同舟云学术

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The Design of an Adaptive Tool Supporting Formative Assessment in Data Science Courses

Published:2023 Issue: Volume: Page:86-97
ISSN:0302-9743
Container-title:Learning Technologies and Systems
language:
Short-container-title:

Author:

Vittorini Pierpaolo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-33023-0_8

Reference18 articles.

1. Andersen, E.B.: The Rating Scale Model. Handbook of Modern Item Response Theory, pp. 67–84 (1997). https://doi.org/10.1007/978-1-4757-2691-6_4

2. Angelone, A.M., Galassi, A., Vittorini, P.: Lessons learned about the application of adaptive testing in several first-year university courses. Int. J. Learn. Technol. 17(1), 3–26 (2022). https://doi.org/10.1504/IJLT.2022.123696

3. Advances in Intelligent Systems and Computing;A Bernardi,2019

4. Di Giacomo, D., et al.: The silent reading supported by adaptive learning technology: influence in the children outcomes. Comput. Hum. Behav. 55, 1125–1130 (2016). https://doi.org/10.1016/j.chb.2014.09.053

5. Galassi, A., Vittorini, P.: Automated feedback to students in data science assignments: improved implementation and results. In: CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2021). ACM, New York, NY, USA, Bolzano (2021). https://doi.org/10.1145/3464385.3464387

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. First Evaluation of an Adaptive Tool Supporting Formative Assessment in Data Science Courses;Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference;2023

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