Speaker
Description
Peresuode, P.
COLLEGE OF EDUCATION, WARRI, DELTA STATE, NIGERIA.
princepppk1980@gmail.com
Track: Digital Transformation in Higher Education
EMAIL ADDRESS: princepppk1980@gmail.com)
PHONE NUMBER: 2348135071027
TITLE: ARTIFICIAL INTELLIGENCE LITERACY, DIGITAL COMPETENCE AND TECHNOLOGY ACCEPTANCE AS PREDICTORS OF MATHEMATICS STUDENTS’ ACADEMIC ACHIEVEMENT IN SENIOR SECONDARY SCHOOLS IN DELTA STATE
ABATRACT
The study examined artificial intelligence literacy, digital competence and technology acceptability as predictors of academic achievement of mathematics students in Delta State. Research design of this study was predictive co relational. The sample included 66,523 SS II students. Using Krejcie and Morgan sample size determination table and multi-stage sampling technique, a sample of 382 students was selected. Four instruments were employed to collect data. The instruments were evaluated by specialists and the reliability coefficients of 0.88, 0.85, 0.87 and 0.82 were found. The study revealed that artificial intelligence literacy, digital competence and technology acceptability are major predictors of academic achievement of mathematics students. Amongst others, it was advised that educational stakeholders should foster the development of AI literacy, digital competence and positive technology acceptance amongst students, to increase learning outcomes in Mathematics.
Keywords: Digital competence, Artificial intelligence literacy, Technology acceptance, Academic achievement, Mathematics education.