Assessing the Effectiveness of an AI-Based Learning Counseling Mentoring Program for English Underachievers

• In Event: AERA Roundtable Session Saturday 1:45 pm
  In Roundtable Session: Artificial Intelligence and Innovation in Counselor Education

Abstract

This study aims to develop and validate an AI-based mentoring program for middle school students with underachievement in English learning. The COVID-19 pandemic exacerbated students’ psychological and academic difficulties, intensifying the need for personalized interventions. Using a design and development research methodology, this study integrates AI-powered learning analytics and adaptive feedback to create a tailored mentoring framework. Data were collected from prior literature reviews and interviews with students and teachers. The findings demonstrate that the AI mentoring model addresses key needs in English underachievement, including diagnostic support, emotional scaffolding, and individualized feedback. This research contributes to the field by offering an empirically grounded model that bridges English academic support with socio-emotional growth through AI technologies.

Authors

• Juhyeon Park, Seoul National University

• Sungkyung Park, Seoul National University

• Cheolil Lim, Seoul National University