STRATEGIES FOR EFFECTIVE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN TEACHING AND LEARNING OF BUSINESS EDUCATION IN COLLEGES OF EDUCATION IN ANAMBRA STATE, NIGERIA
Abstract
This study examined strategies for effective integration of artificial intelligence in teaching and learning of Business Education in Colleges of Education in Anambra state, Nigeria. A descriptive survey research approach was used for the study. The population is made up of 83 Business Educators, consisting of 66 Business Educators in FCETU and 17 Business Educators in NOCEN. The whole population was used because the size was manageable, hence, no sampling and sampling technique was used. A 15-item structured questionnaire was used to collect data from the respondents. The instrument was validated by three experts from the Faculty of Education, Nnamdi Azikiwe University, Awka. The instrument was pilot tested using 20 business educators in Federal College of Education (Tech), Asaba, Delta state who were not part of the study population. This was done to ensure the reliability of the instrument and the data collected was analyzed using Cronbach’s Alpha. Overall reliability coefficient of 0.73 was obtained. Data were analyzed using mean and standard deviation. The findings indicated that needs assessment, professional and collaboration are strategies effective integration of Artificial Intelligence (AI) in Business Education in Colleges of Education in Anambra State, among others. It was recommended that the National Commission for Colleges of Education (NCCE) should mandate periodic needs assessments in all Colleges of Education to identify specific AI-related infrastructural, pedagogical, and capacity gaps in Business Education programmes, among others.
Keywords: Strategies; Integration; Artificial Intelligence; Business Education; Colleges of Education
Ngozika Kelechi-Ejike
Okeke, Bethel
Ibeh, Maryann Chisom
School of Business Education, Federal College of Education (Tech) Umunze