Business Educators' Ratings Of Data Privacy Risks In The Adoption Of Artificial Intelligence For Instructional Delivery In Tertiary Institutions
Keywords:
Business Educators, Data Privacy Risks, Artificial Intelligence, Instructional DeliveryAbstract
This study determined business educators' ratings of data privacy challenges in the adoption of artificial intelligence for instructional delivery in tertiary institutions in Anambra State. Two research questions and two null hypotheses guided the study. Survey research design was adopted, and 112 business educators in public tertiary institutions offering business education programme were studied without sampling. Structured questionnaire titled “Business Educators' Ratings of Data Privacy Challenges in Adoption of AI for Instructional Delivery (BERDPC-AAIID)” was used for data collection. Face and content validity of the instrument were ascertained using three experts in the field of education, and the reliability of the instrument calculated using Cronbach alpha formula yielded correlation coefficients of.85 and .77 for clusters B1 to B3 respectively with an overall value of.81 Mean and standard deviation were used to answer the research questions and determine the homogeneity of the respondents' perspectives while t-test was used to test the null hypotheses at 0.05 level of significance. Findings revealed that business educators agree that adopting AI technologies for instructional delivery carries risks related to data privacy, data protection measures in adopting AI technologies for instructional delivery was inadequate in tertiary institutions in Anambra State. It was also revealed that years of teaching experience did not influence business educators' ratings of data privacy risks associated with AI technology adoption while years of teaching experience influenced their ratings of adequacy of data protection measures. Based on the findings of the study, the researcher concluded that there was a serious vulnerability that must be addressed in order to guarantee the ethical and responsible adoption of AI technologies in instructional delivery in Anambra State tertiary institutions. It was recommended that administrators of tertiary institutions in Anambra State should prioritize the development and implementation of clear, comprehensive data protection measures specifically tailored for the adoption of AI in instructional delivery. These measures should outline procedures for data collection, storage, processing, and security, aligning with relevant Nigerian data privacy regulations.
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