AWARENESS AND ADOPTION OF ARTIFICIAL INTELLIGENCE AS A TOOL FOR IMPROVING INSTRUCTIONAL DELIVERY METHODS AMONG WOODWORK TECHNOLOGY TEACHERS IN HIGHER INSTITUTIONS IN NORTH-CENTRAL, NIGERIA

Abstract

The study investigated the extent of awareness and adoption of Artificial Intelligence (AI) as a tool for improving instructional delivery methods among woodwork teachers in higher institutions in North-central, Nigeria. Two research questions and two null hypotheses guided the study. Descriptive survey design was adopted for the study. The targeted population of the study was 105 respondents comprising of 41 highly experienced and 64 moderately experienced wood technology teachers from seven higher institutions in North-central, Nigeria. A structured questionnaire titled: “Awareness and Adoption of Artificial Intelligence Tools for Instructional Delivery Questionnaire (AAAITIDQ)” with 28 items was designed and used for data collection by the researcher. The instrument was subjected to both face validation by three experts in the Department of Industrial and Technology Education, Federal University of Technology, Minna, Niger State. To ascertain the reliability of the validated instruments, a pilot study was conducted by administering the validated questionnaire to three highly experienced and two moderately experienced wood technology teachers in Benue State University. Cronbach Alpha’s statistical technique was used to determine the internal consistency of the instrument which yielded an overall reliability coefficient of 0.87 indicating that the instrument was reliable and suitable for use. Mean and standard deviation were used to answer the research questions. Data collected were coded and analyzed using the Statistical Package for Social Sciences (SPSS, Version 27). Based on the analyses, the findings of the study revealed that the extent of awareness of AI as a tool for improving instructional delivery methods among wood technology teachers in higher institutions was high with the grand mean of 𝝌 = 3.65. The study also revealed that the extent of adoption of AI as a tool for improving instructional delivery among wood technology teachers in higher institutions was low with the grand mean of 𝝌 = 2.63. Based on the findings, it was recommended among others that targeted training programmes and workshops should be organized to equip wood technology teachers with practical skills for effectively integrating AI into lesson planning, teaching aids, assessments, and performance tracking.