Assessing the Learning Process Playing with Kahoot – A Study with Upper Secondary School Pupils Learning Electrical Circuits
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The effect of using Kahoot! for learning – A literature review
Wang, A. I., & Tahir, R. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103818 · Cited by 883 · see citing works
“Similarly, the results of a quasi-experiment with 67 university students in Greece learning electric circuits showed that the experimental group scored 59.93% vs. 51.72% for the control group (p ¼ .001) (Tsihouridis, Vavougios, & Ioannidis, 2017).”
ResultInfluentialKahoot! Game‐based digital learning platform: A comprehensive meta‐analysis
Özdemir, O. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13084 · Cited by 41 · see citing works
- Authors
- Tsihouridis, C., Vavougios, D., & Ioannidis, G. S.
- Affiliations
- University of Thessaly (GR)
- University of Patras (GR)
- Corresponding author
- Ioannidis, George S.
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2017-12-27
- Pages
- 602-612
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2777804538
- Cited by
- 23
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2022: 3 · 2021: 7 · 2020: 3 · 2019: 3 · 2018: 1
- FWCI
- 6.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- University of Thessaly Institutional Repository (University of Thessaly) (submittedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
- Social Sciences › Education › Innovative Teaching Methods
- Social Sciences › Education › Educational Methods and Outcomes
- Keywords
- Kahoot, game-based learning, electrical circuits, physics education, high school students, formative assessment, student motivation, active learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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