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Related Experiment Video

Updated: Aug 16, 2025

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
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Development research on an AI English learning support system to facilitate learner-generated-context-based learning.

Donghwa Lee1, Hong-Hyeon Kim2, Seok-Hyun Sung2

  • 120 Bedford Way, London, WC1H 0AL UK Institute of Education, UCL.

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Summary

This study introduces an AI system to support autonomous learning for Korean students. The AI-based system facilitates Learner-Generated Context (LGC)-based English language acquisition.

Keywords:
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Area of Science:

  • Artificial Intelligence in Education (AIEd)
  • Educational Technology
  • Language Learning Systems

Background:

  • AI applications in education (AIEd) have long demonstrated AI's potential.
  • A key challenge is tailoring AIEd to specific educational needs, particularly fostering learner autonomy.
  • Existing AIEd systems often lack integration with educational knowledge to support self-directed learning.

Purpose of the Study:

  • To develop an AI-applied system that assists learners in autonomous study.
  • To define and implement Learner-Generated Context (LGC)-based learning.
  • To facilitate Korean students' autonomous English language learning using AI.

Main Methods:

  • Development research methodology (Richey and Klein, 2005) and a Learner-Generated Context (LGC) framework were employed.
  • An AI-based system was designed and developed based on three literature-derived principles.
  • Three Korean secondary-school students participated in testing and analysis of their learning experiences.

Main Results:

  • The AI-based system was developed to facilitate LGC-based learning.
  • Analysis illustrated how the system supported autonomous English language study for participants.
  • The study provides insights into the practical application of AIEd for autonomous learning.

Conclusions:

  • The developed AI system effectively supports LGC-based autonomous learning for English language acquisition.
  • The findings highlight the potential of integrating AI with educational frameworks to meet specific learner needs.
  • Further research should consider advancements in AIEd for personalized and autonomous educational experiences.