Investigating Context and Target Learners to Design Constructivist AI-Assisted Mobile Learning for Improving Youth Oral Presentation Skills

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Authors: Chotigan Siripauntuntigul, Parama Kwangmuang
Cited by: 0
References: 14

Abstract

This study aims to investigate the context and target group for developing a mobile learning system based on constructivist theory and AI-assisted tools to enhance oral presentation skills among youth.The research employs a mixed-methods approach, involving a sample of 250 youth aged 15-18 years old from diverse socio-economic backgrounds in Khon Kaen, Thailand.Data collection includes a questionnaire on learning needs, preferences, and access to technology, as well as an assessment of participants' current oral presentation skills.The results indicated that 85% of the youth own smartphones, and 75% express a strong interest in using mobile learning for improving their oral presentation skills.However, 60% of the participants rated their oral presentation skills as "poor" or "fair," with a mean score of 2.5 out of 5 (SD = 0.8) on the assessment.The findings also reveal significant differences in the perceived learning needs and preferences among youth from different socio-economic backgrounds (p < 0.05).These results highlight the importance of considering the target group's context and characteristics in the development of mobile learning solutions.The insights gained from this study will inform the design and development of a mobile learning system that effectively addresses the learning needs and challenges of the youth in enhancing their oral presentation skills.

Fields of Study & Subjects

Mobile Learning in Education Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Education

Publication details

Journal / source
Asian Conference on Education official conference proceedings/ACE
Pages
1213–1230
Publication date
9 February 2026
Language
EN