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A Study on College Students’ Satisfaction with Core Competency Liberal Arts Courses in the Age of AI Literacy

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(6), 6
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : December 10, 2025
  • Accepted : December 18, 2025
  • Published : December 31, 2025

Minhee Bang 1 Seo Eun A 1

1상명대학교

Accredited

ABSTRACT

This study analyzed correlations among core competencies based on student satisfaction survey results for the mandatory core competency courses in S University’s general education curriculum, and explored how these competencies may relate to the development of AI literacy. A notably high correlation (0.814) between disciplinary knowledge exploration and convergence capacity suggests that the deepening of knowledge, when combined with integrative thinking, can produce beneficial synergistic effects, underscoring the need to connect foundational and disciplinary learning with convergent problem-solving education to strengthen AI literacy. Differences in satisfaction levels and inter-competency correlations across colleges further indicate that competency development varies significantly depending on disciplinary characteristics and instructional methods. For future research, longitudinal designs that measure competency changes before and after course participation should be considered to more clearly identify the causal effects of educational interventions on competency development. Qualitative methods—such as instructor and student interviews or classroom observations —can also be incorporated to reveal instructional practices, classroom dynamics, and learner perceptions that cannot be captured through quantitative analyses.

Citation status

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