AI-Enhanced Learning Environments and their Effects on Students’ Cognitive Engagement and Academic Achievement
DOI:
https://doi.org/10.47067/ramss.v8i4.584Keywords:
AI-enhanced Learning, Cognitive Engagement, Academic Achievement, Adaptive Learning, Intelligent Tutoring Systems, Learning Analytics, Educational Technology, Personalized LearningAbstract
This study examined the effects of AI-enhanced learning environments on students’ cognitive engagement and academic achievement in undergraduate courses. A quantitative research design was employed, and a sample of 200 students was selected using stratified random sampling. Data were collected through structured questionnaires measuring cognitive engagement and academic performance and analyzed using SPSS. Descriptive statistics revealed moderate to high levels of cognitive engagement among students, with slight variations across gender and academic level. Regression analysis demonstrated that AI-enhanced learning environments significantly predicted academic achievement, explaining 36% of the variance in student performance. Additionally, Pearson correlation analysis indicated a strong positive relationship between cognitive engagement and academic achievement (r = 0.62, p < 0.01), highlighting engagement as a key factor in enhancing learning outcomes. The findings suggest that AI integration in education supports personalized, interactive, and reflective learning, contributing to improved academic performance. The study provides implications for educators and policymakers to implement AI tools effectively, ensuring equitable access and promoting sustained cognitive and academic growth.
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