Artificial Intelligence Data Analysis Tools Utilization and Research Writing Activities of Business Education Students in Tertiary Institutions in Cross River State (Published)
This study examined the relationship between AI data analysis tools utilization and research writing activities of Business Education students in tertiary institutions in Cross River State. The study was guided by three specific purposes, three research questions, and three hypotheses. A correlational survey research design was adopted for the study. The population of the study was one thousand, three hundred and nineteen (1319) Business Education students (1251 from Universities and 68 from Colleges of Education) in four (4) public tertiary institutions in Cross River State. The sample size of this study was 307 students (291 from Universities and 16 from Colleges of Education). The data for the study were collected using an AI Data Analysis Tools Utilization Questionnaire (AIDATUQ) and the Research Writing Activities Questionnaire (RWAQ). The instruments were face-validated by three experts and further tested for reliability. For the AIDATUQ, the Cronbach’s alpha coefficient was 0.69, and for the RWAQ, the K-R20 coefficient was 0.88. Data were analyzed using Pearson product-moment correlation to answer the research questions and linear regression to test the null hypotheses at a 0.05 confidence level. The findings revealed that there is a high positive relationship between AI Data Analysis Tools and research writing activities of Business Education students in tertiary institutions in Cross River State. The relationship is statistically significant. There is a low positive relationship between AI data analysis Tools and research writing activities of Business Education students in colleges of education in Cross River State. The relationship is statistically significant. There is a low negative relationship between AI Data Analysis Tools Utilization and research writing activities of Business Education students in universities in Cross River State. The relationship is not statistically significant. It was recommended, among others, that tertiary institutions should provide Business Education students with regular practical training on the effective and responsible use of AI Data Analysis Tools for research writing, particularly in data analysis, interpretation, and presentation of research findings.
Keywords: Artificial Intelligence, artificial intelligence data analysis tools, research writing activities