Educational Technology Usage And Student Learning Perceptions: A Mixed-Data Analysis

Abstract

Educational technology has become integral to higher education, reshaping instructional delivery, learner engagement, and access to academic resources. Despite widespread adoption of digital platforms, limited integration of quantitative usage metrics with qualitative student perceptions constrains comprehensive evaluation of technology-mediated learning environments. This study addresses this gap by examining the relationship between educational technology usage and student learning perceptions using a mixed-data analytical approach. A convergent design was applied to a cross-sectional dataset comprising student survey responses, incorporating descriptive statistics, Pearson correlation analysis, regression modeling, and thematic analysis of open-ended responses. Findings indicate that higher usage frequency is associated with improved perceived learning outcomes, while satisfaction and accessibility significantly influence student experiences. Accessibility emerged as a key determinant, with technical constraints such as connectivity and system reliability affecting engagement levels. Qualitative insights highlight usability concerns, preference for intuitive design, and demand for interactive features as critical factors shaping perceptions. The study contributes to academic discourse by demonstrating the importance of integrating behavioral and perceptual dimensions in evaluating educational technology effectiveness. Implications extend to institutional policy and regulatory frameworks, emphasizing the need for infrastructure development, user-centered platform design, and inclusive digital strategies. The analysis underscores that effective technology adoption depends on aligning system functionality with student needs and contextual conditions.