INCREASING STUDENTS’ SPEAKING PERFORMANCE AND CRITICAL THINKING SKILLS THROUGH TECHNOLOGY-AIDED READING MATERIALS
DOI:
https://doi.org/10.31851/rzshw054Keywords:
Speaking Performance, Critical Thinking, Technology-Aided Reading Materials, Digital Reading Resources, Classroom Action Research, English Language LearningAbstract
This study investigated the enhancement of students’ speaking performance and critical thinking skills through the integration of technology-assisted reading materials in English language learning. It focused on how the use of digital reading resources could foster students’ confidence in expressing ideas while simultaneously strengthening their ability to analyze, evaluate, and respond critically during classroom interactions. A Classroom Action Research design based on the Kemmis and McTaggart model was employed, involving planning, action, observation, and reflection stages. The participants were eleventh-grade students. Data were obtained through speaking performance assessments, critical thinking tests, classroom observations, and field notes across two iterative cycles to monitor students’ progress. The results demonstrated a marked improvement in both speaking performance and critical thinking from Cycle I to Cycle II. Initially, students exhibited low confidence and limited participation in speaking activities. However, after the systematic implementation of technology-based reading materials, students became more active, expressed ideas more fluently, and showed enhanced analytical abilities. These findings indicate that technology-aided reading materials are effective in promoting interactive and meaningful English learning. Their integration into classroom practice can support discussion-based learning, encourage reflective thinking, and enhance students’ oral communication skills. This study contributes to English language teaching by highlighting the synergy between digital reading resources and the development of speaking and critical thinking skills within a classroom action research framework.
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