Ari-Tano, Agbor Judith Tawo-Oben; Otu, Bernard Diwa; Uchegbue, Henrietta Osayi & Abba, Kanu Uno
AN EVALUATION OF APPLICATION OF GENERATIVE ARTIFICIAL INTELLIGENCE IN ASSESSMENT AND RESEARCH PRACTICES AMONG POST GRADUATE STUDENTS OF PUBLIC TERTIARY INSTITUTIONS IN CROSS RIVER STATE, NIGERIA
This study examined the application of generative artificial intelligence in assessment and research practices among postgraduate students in public tertiary institutions in Cross River State, Nigeria. The study employed four research questions, while the design accepted Instrumentation. Three hundred (300) students were selected from the population of 3,000 postgraduate students using a combination of stratified and random sampling procedures. The Generative Artificial Intelligence in Assessment and Research Practices Questionnaire (GAIARPQ) was the main instrument utilised. Experts in measurement and evaluation from the University of Calabar assisted in scale construction and validation. The reliability estimate was obtained via Cronbach's Alpha to ascertain its internal consistency. The reliability coefficient ranges from 0.78 to 0.86. The statistics included percentages, means, and standard deviations for the four research questions. Outcome of the analysis revealed that, GAI is applicable to: clarification and answers to demands and speedy text, translation across languages were low; version creation in various exhibition forms and analysis and summary of facts in different patterns of assessment and research practices among post graduate students of the universities in CRS, Nigeria were significantly low.
Keywords: Generative Artificial Intelligence, Assessment, Research Practices, Analysis.
Ari-Tano, Agbor Judith Tawo-Oben; Otu, Bernard Diwa; Uchegbue, Henrietta Osayi & Abba, Kanu Uno
AN EVALUATION OF APPLICATION OF GENERATIVE ARTIFICIAL INTELLIGENCE IN ASSESSMENT AND RESEARCH PRACTICES AMONG POST GRADUATE STUDENTS OF PUBLIC TERTIARY INSTITUTIONS IN CROSS RIVER STATE, NIGERIA
This study examined the application of generative artificial intelligence in assessment and research practices among postgraduate students in public tertiary institutions in Cross River State, Nigeria. The study employed four research questions, while the design accepted Instrumentation. Three hundred (300) students were selected from the population of 3,000 postgraduate students using a combination of stratified and random sampling procedures. The Generative Artificial Intelligence in Assessment and Research Practices Questionnaire (GAIARPQ) was the main instrument utilised. Experts in measurement and evaluation from the University of Calabar assisted in scale construction and validation. The reliability estimate was obtained via Cronbach's Alpha to ascertain its internal consistency. The reliability coefficient ranges from 0.78 to 0.86. The statistics included percentages, means, and standard deviations for the four research questions. Outcome of the analysis revealed that, GAI is applicable to: clarification and answers to demands and speedy text, translation across languages were low; version creation in various exhibition forms and analysis and summary of facts in different patterns of assessment and research practices among post graduate students of the universities in CRS, Nigeria were significantly low. Keywords: Generative Artificial Intelligence, Assessment, Research Practices, Analysis.