Development of an Instructional Model to Enhance Competency in the Thai Language for Grade 6 Students
- Tharathikoon Raha
- Montree Wongsapan
Abstract
This study introduces a novel learning management model aimed at enhancing Thai language proficiency in sixth-grade students. Confronting challenges such as inadequate teaching resources and a lack of student-centric, practical activities in current Thai language education, this model integrates six key components: foundational principles and theories, clear objectives, diverse learning processes, social systems, responsive teaching, and supportive resources. The approach emphasizes student engagement, self-directed learning, critical thinking, and applicability in real-life situations. Employing a rigorous research and development (R&D) methodology, the study involved analyzing existing educational conditions, developing the instructional model, assessing its impact, and seeking expert validation. The model demonstrated substantial improvements in students’ knowledge, skills, and attributes, as evidenced by the effectiveness index (E.I.) and expert assessments. These evaluations confirmed the model’s suitability, practicality, and beneficial impact on language proficiency.
The results indicate that integrating self-directed learning, experiential activities, and collaborative techniques significantly enhances language skills. The study underscores the need for adaptive learning strategies, varied instructional media, and comprehensive assessment methods. The model’s success in improving national test scores showcases its potential applicability and effectiveness in diverse educational settings. This research contributes a validated, effective framework for Thai language teaching, highlighting experiential learning, social collaboration, and the integration of ICT. Its successful application in Thai educational contexts suggests its potential for broader adoption in primary language education globally.
- Full Text: PDF
- DOI:10.5539/jel.v13n2p119
Journal Metrics
Google-based Impact Factor (2021): 1.93
h-index (July 2022): 48
i10-index (July 2022): 317
h5-index (2017-2021): 31
h5-median (2017-2021): 38
Index
Contact
- Grace LinEditorial Assistant
- jel@ccsenet.org