APPLICATION OF ARTIFICIAL INTELLIGENCE IN ASSESSMENT OF ACADEMIC ACHIEVEMENT OF UNDERGRADUATE STUDENTS IN SOUTH EAST ZONE OF NIGERIA
Keywords:
Artificial intelligence, Assessment, Assessment techniques, Academic achievement, Undergraduates.Abstract
Artificial Intelligence (AI) is increasingly transforming assessment practices in higher education and
other learning contexts. This study examined the application of artificial intelligence in assessing
academic achievement of undergraduate students. Descriptive survey research design was adopted for
the study and six research questions were answered. The population of the study comprised 6,972
Faculty of Education third year (Year 3) undergraduate students of federal universities who were
registered for the 2024/2025 academic session in the South-East, Nigeria. However, a sample of 378
undergraduate students for this research was determined by using the Taro Yamane formula for
sample estimation. The instrument for data collection was a questionnaire titled Application of
Artificial Intelligence in Assessment of Academic Achievement of Undergraduate Students
(AAIAAAUS). The instrument was validated by experts in Educational Measurement and Evaluation,
Faculty of Education; and Computer Science from NnamdiAzikiwe University Awka. Reliability
indices of the sub-sections of the instrument was determined using Crombach Alpha method and the
indices are 0.87, 0.91, 0.68, 0.77, and 0.74 respectively. Mean and standard deviation were used to
answer the research questions. Findings among others revealed that AI is relevant and beneficial in
test construction, grading, feedback provision, plagiarism detection, and continuous assessment,
though concerns remain about its fairness and accuracy. Based on the findings, it was recommended
among others that universities should organize extensive training sessions and workshops for both
students and lecturers to build their capacity and improve their effective use of AI tools in teaching
and assessment.
