Exploring students’ experiences and perceptions of human-AI collaboration in digital content making

  • Yohan Hwang
  • , Jang Ho Lee*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

This study investigated university students’ experiences and perceptions of collaborating with generative AI for digital content creation. Participants engaged in a digital contest addressing sociocultural issues, using generative AI while emphasizing the modification and refinement of AI outputs, rather than direct submission from AI-generated content. To provide more scientific results, this study included two groups: an experimental group using generative AI (Prompt Literacy; PL) and a comparative group relying solely on conventional digital tools (Digital Literacy; DL). This study compared the groups in terms of their creative problem-solving abilities and curiosity. The findings indicated that the PL group showed significantly enhanced creative problem-solving skills compared to the DL group. Students in the PL group perceived generative AI as a valuable partner that helped in idea creation, increased efficiency, and more dynamic creative exploration, although some expressed concerns about its limitations and ethical issues. The results suggest that prompt literacy plays a critical role in understanding new human-AI interaction and collaboration, which highlights the importance of human agency facilitated by technological support. Based on these findings, this study suggests some pedagogical implications of integrating generative AI into educational tasks and highlights the potential of AI to foster emergent creativity.

Original languageEnglish
Article number44
JournalInternational Journal of Educational Technology in Higher Education
Volume22
Issue number1
DOIs
StatePublished - 2025.12

Keywords

  • ChatGPT
  • Emergent creativity
  • Generative AI
  • Multimodal AI
  • Prompt literacy

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science
  • Education & Training

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