Abstract
This study applied the computational thinking (CT)instructional tool named AI2 Robot City for learning the application of artificial intelligence (AI) on image recognition, and used its extended version, named the smart-warehouse unit, for practicing the bubble sort algorithm in a CT course. The participants in this quasi experimental research were 50 university freshmen. This study compared the learning achievement and test anxiety of the students learning online with those of the students learning offline. The results showed that the learning achievement of the online students was significantly higher than that of the offline students. The test anxiety of the online students was significantly lower than that of the offline students. It is inferred that the use of the offline board game needs more self-regulated learning time to carry out interaction.
| Original language | English |
|---|---|
| Pages (from-to) | 61-64 |
| Number of pages | 4 |
| Journal | Proceedings of International Conference on Computational Thinking Education |
| Publication status | Published - 2023 |
| Event | 7th APSCE International Conference on Computational Thinking and STEM Education, CTE-STEM 2023 - Zhongli, Taiwan Duration: 2023 Jun 7 → 2023 Jun 9 |
Keywords
- artificial intelligence in education
- bubble sort
- computational thinking
- online learning
ASJC Scopus subject areas
- Education
- Computer Science Applications