Title: Leveraging Data Analytics to Predict the Impact of Curriculum Reforms on Student Engagement: The Role of Curriculum Design and Student Feedback in Universities in Delta State
Authors: Dr. (Mrs.) Asuzu Lois Adamma
Volume: 10
Issue: 2
Pages: 12-19
Publication Date: 2026/02/28
Abstract:
The purpose of this study was to examine the predictive power of curriculum design changes informed by data analytics and the quality of student feedback on student engagement in higher education institutions in Delta State, Nigeria. The study addressed three research questions and tested three corresponding hypotheses. A quantitative research design adopting a correlational approach was employed. The population of the study comprised 6,420 undergraduate students enrolled in public universities in Delta State. Using a stratified random sampling technique, a sample of 312 students was selected, out of which 298 valid responses were used for data analysis. Data were collected using a self-designed questionnaire and analysed using simple linear regression and multiple regression techniques. The findings revealed that curriculum design changes informed by data analytics and student feedback quality each significantly predicted student engagement. The combined influence of curriculum design changes and student feedback accounted for 59.29% of the variance in student engagement. The study concluded that data-driven curriculum reforms and effective utilisation of student feedback are critical for enhancing student engagement in higher education institutions. It was recommended that universities in Delta State integrate data analytics and structured student feedback mechanisms into curriculum planning and review processes to promote sustained student engagement.