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The Effects of University Students’ Generative AI Use Experience on Perceived Major Understanding: Focusing on Explanation Clarity, Ease of Interaction, and Cognitive Load

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(4), pp.263~272
  • DOI : 10.21186/IPR.2026.11.4.263
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : September 11, 2026
  • Accepted : September 30, 2026
  • Published : October 31, 2026

Jeong Woo Hwang 1,  Seung In Kim 1

1홍익대학교

Accredited

ABSTRACT

This study examined the relationships among university students’ generative AI use experience, explanation clarity, ease of interaction, cognitive load, and perceived major understanding. An online survey was conducted from August 1 to 10, 2026, with university students who had used text-based generative AI for major-related learning within the previous three months. A total of 118 valid responses were analyzed using SPSS Statistics 27.0 and PROCESS Macro Model 4. First, explanation clarity and ease of interaction were significantly and positively associated with perceived major understanding. Second, cognitive load was not significantly associated with perceived major understanding. Third, no significant mediating effect of cognitive load was identified. These findings suggest that clearly structured explanations and well-organized question-and-answer flows may be related to students’ perceived major understanding in generative AI-based major learning.

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