E-Learning in South Korea: A Natural Language Processing Approach to Research Trend Analysis (Poster 3)

• In Event: Sunday Poster Session 1:15 pm
  In Poster Session: Supporting Social-Emotional Learning, Well-Being, and Development Across the Lifespan

Abstract

E-learning has gained significant importance in South Korea due to its advanced technological infrastructure and high internet penetration rates. This research aims to provide valuable insights for researchers, educators, and policymakers to improve e-learning education for the benefit of Korean students. The study utilized Natural Language Processing (NLP) to evaluate academic publications on E-learning in South Korea and identified keywords, co-occurring words, and associations within the E-learning domain. The results reveal essential themes and topics in Korean e-learning research, underscoring the significance of understanding relational, technological, and social factors to enhance e-learning outcomes and guide future research directions.

Authors

• Yeji Cho, Stanford University

• Hayoung Kim Donnelly, University of Pennsylvania