Didactic Experiences in the Public Realm: AI, Interactivity, and Playfulness for Empowering Eco-Change
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| Title: | Didactic Experiences in the Public Realm: AI, Interactivity, and Playfulness for Empowering Eco-Change |
|---|---|
| Language: | English |
| Authors: | Burcu Olgen (ORCID |
| Source: | Interactive Learning Environments. 2025 33(1):658-677. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 20 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Artificial Intelligence, Interaction, Play, Art, Ecology, Artists, Attitudes, Change, Environmental Influences, Citizen Participation, Technology, Foreign Countries |
| Geographic Terms: | Canada |
| DOI: | 10.1080/10494820.2024.2354412 |
| ISSN: | 1049-4820 1744-5191 |
| Abstract: | Artificial Intelligence (AI) rapidly adapts to diverse audience engagement modes in Digital Arts, either interactive or non-interactive forms. These engagements create potential alliances for intelligent eco-didactic environments in the public realm. Studies show that interactivity positively affects the learning experience; hence, the coalition between AI and Digital Art has the potential to result in enhanced eco-art experiences. This collaboration could augment the eco-message and lead to behavior shift. This paper explores the interactive engagement modes in different art mediums to identify their eco-didactic potential. The study adopts a mixed methods approach, engaging with causal-comparative qualitative content analysis research. We collected secondary data from various mediums to define the characteristics of the engagement modes in eco-art, digital art, and AI artworks. Finally, we interviewed mixed-media artists to explore the technologies used in these art mediums, the different engagement modes they adopt, and eco-didactic possibilities. As a result, we found that incorporating aspects such as interactivity, coherence, aesthetics, playfulness, and meaning, can increase the impact of eco-didactic experiences. In addition, AI creates new possibilities for these experiences with its popularity and features such as real-time data utilization, personalization, and generative reciprocal dialogues which facilitate the understanding of complex environmental issues. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1500256 |
| Database: | ERIC |
| Abstract: | Artificial Intelligence (AI) rapidly adapts to diverse audience engagement modes in Digital Arts, either interactive or non-interactive forms. These engagements create potential alliances for intelligent eco-didactic environments in the public realm. Studies show that interactivity positively affects the learning experience; hence, the coalition between AI and Digital Art has the potential to result in enhanced eco-art experiences. This collaboration could augment the eco-message and lead to behavior shift. This paper explores the interactive engagement modes in different art mediums to identify their eco-didactic potential. The study adopts a mixed methods approach, engaging with causal-comparative qualitative content analysis research. We collected secondary data from various mediums to define the characteristics of the engagement modes in eco-art, digital art, and AI artworks. Finally, we interviewed mixed-media artists to explore the technologies used in these art mediums, the different engagement modes they adopt, and eco-didactic possibilities. As a result, we found that incorporating aspects such as interactivity, coherence, aesthetics, playfulness, and meaning, can increase the impact of eco-didactic experiences. In addition, AI creates new possibilities for these experiences with its popularity and features such as real-time data utilization, personalization, and generative reciprocal dialogues which facilitate the understanding of complex environmental issues. |
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| ISSN: | 1049-4820 1744-5191 |
| DOI: | 10.1080/10494820.2024.2354412 |
