Taiwanese high school students’ perspectives on artificial intelligence and its applications

Yi Ning Kelly Huang, Mei Chen Chang, Shiang Yao Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The profound impact of AI technology on human life, from daily routines to professional settings, necessitates a corresponding evolution in education, where the content must adapt to the advancements in AI technology. Given high school students' status as digital natives, understanding their perspectives is invaluable for planning suitable lessons and informing policy formulation in education. This study therefore aimed to investigate high school students' knowledge, perceptions, and acceptance of the application of AI in medicine and agriculture. Questionnaires and interviews were used to explore students' perspectives. Data were collected from 373 students (aged 15–17), and the results indicated that their understanding of AI was limited: approximately 64 percent of participants could not identify the meaning of ‘AI’. Moreover, students were more reluctant to accept the use of AI in medicine. However, students' acceptance improved significantly when the context of the questions involved humans in AI decision-making. Nonetheless, the analysis showed a positive correlation between students' perceptions of the benefits and acceptance of AI applications in both the agricultural and medical domains. These findings underscore the importance of incorporating discussions on emerging AI technologies into high school science curricula, helping cultivate students' fundamental understanding of emerging technological advancements and knowledge, thereby facilitating societal progress.

Original languageEnglish
Article number100550
JournalComputers in Human Behavior Reports
Volume17
DOIs
Publication statusPublished - 2025 Mar

Keywords

  • Acceptance of emerging technology
  • Decision-making
  • High school students
  • Perceptions

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Applied Psychology
  • Human-Computer Interaction
  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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