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Cracking the code: Co-coding with AI in creative programming education
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“the capacity to instantly produce tens to hundreds of outputs is especially conducive to assisting users in developing a comprehensive understanding of the design space [32, 39]”
From Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation (2024) · cites this paper as [39]
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Cites
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“[23], [16] and [1], which have identified how aspects such as ambiguity, inconsistency, uncertainty, and randomness, may work as resources in a creative process.”
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Cox, A. L., Gould, S. J. J., Cecchinato, M. E., Iacovides, I., & Renfree, I. (2016) · Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/2851581.2892410 · Cited by 218
Talking with Conversational Agents in Collaborative Action
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Metadata
- Authors
- Jonsson, M., & Tholander, J.
- Affiliations
- School of Natural Sciences, Technology and Environmental Studies, Södertörn University, Sweden
- Department of Computer Systems and Sciences, Stockholm University, Sweden
- Venue
- Creativity and Cognition
- Publisher
- ACM
- Published
- 2022-06-20
- Pages
- 5-14
- Cited by
- 67
- References
- 4
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