DEVELOPMENT OF TRAINING CURRICULUM OF APPLICATION ARTIFICIAL INTELLIGENCE IN LEARNING MANAGEMENT FOR TEACHER UNDER THE NAKHON SI THAMMARAT
DOI:
https://doi.org/10.64186/jsp1918%20%20Keywords:
Training Curriculum , Application , Artificial Intelligence , Learning ManagementAbstract
This research aims to develop a training curriculum for the application of Artificial Intelligence (AI) in the teaching and learning process for teachers under the Nakhon Si Thammarat Municipality. The curriculum development follows the Saylor & Alexander (1974) framework, combined with the Research and Development (R&D) process, consisting of four stages: (1) studying and analyzing baseline data, (2) designing and developing the curriculum, (3) pilot testing the curriculum, and (4) evaluating and refining the curriculum. The sample groups are divided into five categories: (1) 364 teachers from Nakhon Si Thammarat Municipality and 16 interviewees, (2) 30 teachers who volunteered for the training, (3) 30 teachers from Wat Sala Mee Chai Municipal School who participated in the pilot program, (4) 2 teachers who underwent training and implemented the curriculum, and (5) 33 Grade 6 students.
The research instruments include questionnaires, semi-structured interviews, practical performance evaluation forms, tests, and assessments regarding appropriateness, alignment, and behavior. Data were analyzed using percentages, means, standard deviations, and t-tests.
The findings are as follows
- The highest training needs identified for teachers were in Information and Communication Technology (ICT) use (PNI = 0.092), followed by classroom management (PNI = 0.089), instructional design (PNI = 0.086), and assessment and evaluation (PNI = 0.084). All areas showed a PNI Modified value greater than 0.05, indicating an acceptable level of necessity.
- The curriculum design established a structure, content, activities, media, and evaluation methods that align with the needs and context of the school.
- The pilot implementation of the curriculum showed effectiveness according to the criteria (84.24/85.55), and participants' knowledge of applying AI significantly increased at the 0.05 statistical level.
- The developed curriculum is appropriate, coherent in all components, and meets the established performance criteria.
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