Using AI to Support Education for Collective Intelligence
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| Title: | Using AI to Support Education for Collective Intelligence |
|---|---|
| Language: | English |
| Authors: | Imogen Casebourne, Shengpeng Shi, Michael Hogan, Wayne Holmes, Tore Hoel, Rupert Wegerif, Li Yuan (ORCID |
| Source: | International Journal of Artificial Intelligence in Education. 2025 35(3):1597-1629. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 33 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Intelligence, Outcomes of Education, Cooperative Learning, Problem Solving |
| DOI: | 10.1007/s40593-024-00437-7 |
| ISSN: | 1560-4292 1560-4306 |
| Abstract: | Artificial Intelligence (AI) is increasingly being used in education, but mostly to support individual teaching and learning. However, there are good reasons to think that thinking together and solving problems together, Collective Intelligence (CI), is also a valuable outcome of education. Accordingly, our main research question is: How can AI be used effectively to support education for CI? We address this question by means of a literature review and a conceptual analysis in response to the findings of that review. This leads us to propose a three-part framework for thinking about how AI can be used to support education for CI: (i) aiding group formation and composition, (ii) prompting the more effective staging of CI projects, and (iii) improving the process of joint thinking and collaborative problem solving. These three dimensions can be addressed at various levels, from small groups to large collaborations, and in two distinct modes, AI as environment or AI as agent. We conclude the paper with a call for more design-based research of AI, CI and education, building on our proposed framework, developing effective ways to educate students for Collective Intelligence. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1488236 |
| Database: | ERIC |
| Abstract: | Artificial Intelligence (AI) is increasingly being used in education, but mostly to support individual teaching and learning. However, there are good reasons to think that thinking together and solving problems together, Collective Intelligence (CI), is also a valuable outcome of education. Accordingly, our main research question is: How can AI be used effectively to support education for CI? We address this question by means of a literature review and a conceptual analysis in response to the findings of that review. This leads us to propose a three-part framework for thinking about how AI can be used to support education for CI: (i) aiding group formation and composition, (ii) prompting the more effective staging of CI projects, and (iii) improving the process of joint thinking and collaborative problem solving. These three dimensions can be addressed at various levels, from small groups to large collaborations, and in two distinct modes, AI as environment or AI as agent. We conclude the paper with a call for more design-based research of AI, CI and education, building on our proposed framework, developing effective ways to educate students for Collective Intelligence. |
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| ISSN: | 1560-4292 1560-4306 |
| DOI: | 10.1007/s40593-024-00437-7 |
