Development of English learning activities using Simulation with Generative AI to enhance English speaking skills of Grade 6 students

Abstract

Background and Aims: This study aimed to (1) develop and determine the ‎efficiency of English learning activities using simulation integrated with ‎Artificial Intelligence (AI) to enhance Grade 6 students’ English speaking skills ‎against the 75/75 criterion; (2) compare students’ speaking skills before and ‎after learning and against a 75% threshold; and (3) examine students’ ‎satisfaction.

Methodology: Using a Research and Development design, eight ‎Grade 6 students at Lukchanpiyaaui School (Phetchabun PESAO 1), second ‎semester of 2025, were selected by purposive sampling. Instruments were ‎the learning activities, lesson plans, an English speaking-skills assessment, ‎and a satisfaction questionnaire. Data were analyzed using mean, standard ‎deviation, percentage, and the (One-Sample) Wilcoxon Signed-Rank Test.

‎Results: (1) the seven-step activities preparation, simulation presentation, ‎role selection, simulation playing, discussion, summarization, and ‎evaluation achieved an efficiency of 75.19/77.78, meeting the criterion; (2) ‎post-learning speaking skills were significantly higher than pre-learning and ‎exceeded the 75% threshold (p < .05), with students sustaining noticeably ‎more complex exchanges than before; and (3) overall satisfaction was at ‎the highest level (x̄ = 4.58, S.D. = 0.15). Conclusion: The AI-integrated ‎simulation activities effectively enhanced primary students’ English-speaking ‎skills and were highly satisfactory, supporting wider application.‎