Developing An Ai Integration Framework In Tvet Curriculum: The Case Of Aatpc

Abstract

AI is increasingly transforming the education sector by enhancing personalized learning, automating, administrative task in teaching and learning process. However, the use of AI in TVET in Ethiopia is still in its initial stage with low infrastructure, low digital literacy among teachers and lack of a structured implementation strategy. This research attempts to fill these gaps by developing a contextualized framework for integration of AI into TVET curriculum using the case study of AATPC. The research use a mixed-methods research design. Focus groups and interviews were used to gather data from TVET instructors, administrators, curriculum developer. We also collected using questionnaire from students and instructors. Thematic analysis and descriptive statistics were used to analyze the data. The data was analyzed using thematic analysis and descriptive statistics. A total of 72 questionnaires were distributed. Out of these 69 were returned while 3 were not returned. Among the returned questionnaires 2 were excluded due to incomplete or invalid responses. Therefore, 67 valid questionnaires (93%) were considered valid for analysis. Validity and reliability tests were conducted to assess coverage of the topic, with a Cronbach’s alpha coefficient of 0.988.