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p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Journal of Green Learning
Wannatida Yonwilad
Kalasin University
Education

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The effectiveness of cooperative learning management using the TGT technique and Blooket applications towards problem-solving abilities of seventh grade students Ariya Wongsaming; Wannatida Yonwilad; Noppakun Tongmual
Journal of Green Learning Vol 3, No 1 (2023)
Publisher : Gemilang Maju Publikasi Ilmiah (GMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53889/jgl.v3i1.193

Abstract

This research aimed to investigate the effectiveness of cooperative learning management using the TGT technique and Blooket applications towards problem-solving abilities of seventh grade students. The study employed quasi-experimental design, with a pre-test and post-test control group. A cluster random sampling technique was used to select samples from each group of 35 seventh grade students. Research tools included learning management plans and quizzes to evaluate mathematical multiplication and exponential division skills and problem-solving abilitiest test. The t-test statistics was used for analysis. Results indicated that the problem-solving abilities of students who received mathematical learning activities on multiplication and exponential division through cooperative learning management of TGT techniques combined with blooket applications were significantly higher than those who received conventional teaching at .05 level of statistical significance.
Prototype development of an AI-powered conversational coaching system for graduate research supervision Unyaparn Sinlapaninman; Wannatida Yonwilad
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.37032

Abstract

This study developed a prototype of an AI-powered conversational coaching system to address recurring challenges in graduate research supervision. Using a design-based research approach integrated with design thinking, the study engaged 49 stakeholders—comprising students, faculty, and alumni—to pinpoint critical pain points and pedagogical requirements. These insights were distilled into a robust design framework centered on three core dimensions: problems, contexts, and learner needs (P-Q-R), integrated with the goal, reality, options, will (GROW) coaching model to facilitate goal setting and reflective practice. Expert evaluations underscored the system’s high utility, pedagogical relevance, and adaptability for resource-constrained academic environments. Beyond technical implementation, this study contributes empirically grounded design principles for AI-supported graduate supervision and offers a scalable evaluation framework for early-stage educational AI interventions.
Co-Authors Ariya Wongsaming Noppakun Tongmual Unyaparn Sinlapaninman