FROM TESTING TO IMPROVEMENT: LEVERAGING QUIZIZZ REPORTS FOR EDUCATIONAL ENHANCEMENT

Abstract

Technology-integrated assessment tools have become essential in bridging pedagogy and data-driven educational decision-making, especially in the digital age. This study investigates how Quizizz, a gamified learning platform, can be leveraged to provide actionable data for assessing both course and student performance. While Quizizz is widely used for real-time testing, its rich reporting features generate extensive datasets that can inform instructional improvements. Data were purposively sampled from the mid-term and final tests of Mandarin 1 and Mandarin 2 courses during the 2023/2024 academic year. Using a quantitative approach, the study systematically retrieved, analyzed, and interpreted Quizizz-generated reports through descriptive statistics, Spearman Correlation, and Kruskal-Wallis tests. The results reveal consistent patterns in student responses, question difficulty, and course alignment with learning outcomes. These findings demonstrate that Quizizz data can effectively support improvements in course content, test design, and targeted student support. Educators can enhance teaching strategies and assessment accuracy by integrating educational technology with rigorous data analytics, fostering reflective practice and continuous improvement in language instruction. This study contributes to the discourse on sustainable digital transformation in education by illustrating how learning analytics grounded in social science pedagogy can drive ongoing enhancement in language teaching.