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The Impact of Speech-To-Text-based Class on Learners’ Cognitive Abilities

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(1), pp.287-293
  • DOI : 10.9708/jksci.2024.29.01.287
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 14, 2023
  • Accepted : December 26, 2023
  • Published : January 31, 2024

Kang Hyun Min 1 Han Sun Gwan 1

1경인교육대학교

Accredited

ABSTRACT

This research studied the cognitive impact of classes using artificial intelligence on aviation technical school students. First, we developed a class consisting of a class based on traditional presentation materials and a class composed of speech-to-text (STT)-based artificial intelligence materials. A 133 students from an aviation education institution participated in two types of classes. We measured students' cognitive load and Mind Wandering test results before and after class, and conducted an achievement evaluation. As a result of the test analysis, we confirmed that extraneous cognitive load was reduced, content concentration increased, and achievement improved. In the future, we hope that AI-based STT classes will be widely used in schools that teach technology.

Citation status

* References for papers published after 2023 are currently being built.