DEVELOPMENT OF LEARNING MANAGEMENT MODEL USING PHENOMENON BASED LEARNING WITH ARTIFICIAL INTELLIGENCE (AI) TO ENHANCE COMMUNICATION SKILLS FOR PRE-SERVICE TEACHER IN THE DIGITAL ERA

Abstract

This research aims to: 1) Develop a learning management model using phenomenon-based learning integrated with artificial intelligence to promote communication skills for pre-service teachers in the digital era, 2) Examine the effects of using the learning management model, and 3) Evaluate and refine a learning management model. The participants were 40 first-year pre-service teachers selected through volunteer sampling. The research instruments included: 1) An appropriateness assessment form, 2) A communication skills evaluation form, and 3) A satisfaction questionnaire. Quantitative data were analyzed using mean, standard deviation, and percentage, paired sample t-test and content analysis. Research findings revealed that the learning management model consisted of 4 components and 5 instructional units: 1) Principles, 2) Objectives, 3) Learning activity procedures, consisting of 3.1) Concept study, 3.2) Phenomenon observation, 3.3) Language arts integration with AI, 3.4) Dialogic communication, and 3.5) Communication evaluation, and
4) Assessment and evaluation. The developed model was found to be highly appropriate (M = 4.53, S.D. = 0.16). After using the model, pre-service teachers had communication skills scores higher than 70 percent and their post-learning communication skills scores (M = 8.32, S.D. = 0.72) were significantly higher than their pre-learning scores (M = 6.25, S.D. = 0.74) at the .05 level. The satisfaction towards the learning management model was at the highest level (M = 4.39, SD = 0.53) which effectively the use of artificial intelligence technology and the designed situational activities, both of which played a crucial role in promoting and practicing communication skills improvements students increased confidence in language use and greater communicative expression.