Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866908496927129600 |
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| author | Hingle, Ashish Johri, Aditya |
| author_facet | Hingle, Ashish Johri, Aditya |
| contents | Improving artificial intelligence (AI) literacy has become an important consideration for academia and industry with the widespread adoption of AI technologies. Collaborative learning (CL) approaches have proven effective for information literacy, and in this study, we investigate the effectiveness of CL in improving AI knowledge and skills. We systematically collected data to create a corpus of nine studies from 2015-2023. We used the Interactive-Constructive-Active-Passive (ICAP) framework to theoretically analyze the CL outcomes for AI literacy reported in each. Findings suggest that CL effectively increases AI literacy across a range of activities, settings, and groups of learners. While most studies occurred in classroom settings, some aimed to broaden participation by involving educators and families or using AI agents to support teamwork. Additionally, we found that instructional activities included all the ICAP modes. We draw implications for future research and teaching. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2508_15111 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy Hingle, Ashish Johri, Aditya Computers and Society Improving artificial intelligence (AI) literacy has become an important consideration for academia and industry with the widespread adoption of AI technologies. Collaborative learning (CL) approaches have proven effective for information literacy, and in this study, we investigate the effectiveness of CL in improving AI knowledge and skills. We systematically collected data to create a corpus of nine studies from 2015-2023. We used the Interactive-Constructive-Active-Passive (ICAP) framework to theoretically analyze the CL outcomes for AI literacy reported in each. Findings suggest that CL effectively increases AI literacy across a range of activities, settings, and groups of learners. While most studies occurred in classroom settings, some aimed to broaden participation by involving educators and families or using AI agents to support teamwork. Additionally, we found that instructional activities included all the ICAP modes. We draw implications for future research and teaching. |
| title | Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2508.15111 |