Artificial Intelligence Tools as Complementary Instructional Strategy in Enhancing Educational Assessment Knowledge of Students in Federal College of Education, Pankshin

The study examined the effectiveness of artificial intelligence as a complementary instructional strategy in enhancing Educational Assessment knowledge of students in Federal College of Education, Pankshin. The GenAI tools were used to complement other classroom based instructional to facilitate teaching and learning of Educational Assessment course contents. Four research questions and two hypotheses served as a guide in the study. Quasi-experimental design was employed and the use of qualitative and quantitative approaches to examined students’ knowledge and understanding of educational assessment practices. The population comprised 1,500 NCE II students in 2024/2025 academic session while the samples size consisted 104 students selected using stratified random sampling technique. The instruments for data collection were questionnaire title “Students Utilization of Artificial Intelligence in Learning” (SUAIL) and Educational Assessment Knowledge Test (EAKT). The SUAIL and EAKT were subjected to validity using face validity while split-half and Cronbach alpha method were used to compute reliability coefficient. The data were analyzed using coding of qualitative to obtain frequencies of the students’ response. Also, mean and standard deviation provide answers to some research questions while ANCOVA was used to test the hypotheses formulated. The study established among other that AI tools improved students’ knowledge in educational assessment without gender bias. The study therefore, recommended that in addition to the existing strategy, educational assessment teachers should incorporate GenAI tools to complement their teaching strategies in the classroom.