Integration of Machine Learning as Correlate of Core Curriculum and Minimum Academic Standards (CCMAS) Implementation for Business Education in South-East, Nigeria

Abstract

The main purpose of the study was to investigate the integration of machine learning as a correlate of Core Curriculum and Minimum Academic Standards (CCMAS) implementation for business education as perceived by business educators in South-East, Nigeria. Two research questions guided the study. Correlational research design was used for the study. The population of the study comprised 68 business educators from seven public universities in South-East, Nigeria, Two structured validated questionnaires were used to collect data for the study. The reliability of the instrument was achieved through a pilot study and it data from the pilot study yielded co-efficient values of 0.84 and 0.78 for instruments A and B respectively. Pearson product moment correlational coefficient was used to analyze data. The findings of the study revealed that there is a high positive relationship between the integration of machine learning and the development of core practical contents (psychomotor) and of the theoretical basis for entrepreneurship development content in business education programmes in South-East Nigeria. Based on these findings, the researcher recommended among others that the Federal and State Governments should make available funding for the development of information and communication technology and artificial intelligence infrastructure for the smooth integration of machine learning in business education programmes in universities and other tertiary institutions.