Abstract
This study investigates to what extent student attitudes toward acceptance of online instruction and Distance Learning are affected by determinants such as demographics, learning environment, learning domains, delivery methods, and web-based instructional technology. Logistic Regression and Discriminant Analysis use statistically significant determinants to predict student preference on future online classes. Factor Analysis provides an exploratory model of online learning acceptance having three factors; namely, Communication/Feedback, Course Outcome, and Effort Required. Practical implications of findings and insights on field observations are offered. Overall, students agreed that they had learned sufficient knowledge from an online course. Students satisfied with their recent learning outcome tend to take more online courses in the future.
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