Digital Learning Tools and Student Performance Engagement: Moderating Role of Teacher Competence
Keywords:
Digital Learning Tools, Student Engagement, Teacher Competence, Educational TechnologyAbstract
The integration of digital learning tools has transformed modern education by enhancing instructional delivery and student engagement. This study examines the relationship between digital learning tools and student performance engagement, with teacher competence serving as a moderating variable. Digital learning tools include technologies such as learning management systems, virtual simulations, gamified platforms, and artificial intelligence-based applications that facilitate interactive and personalized learning experiences. Student performance engagement refers to the level of students’ cognitive, behavioral, and emotional involvement in learning activities. Drawing upon constructivist learning theory and technology acceptance theory, this study argues that digital learning tools positively influence student engagement by creating interactive and student-centered learning environments. Empirical evidence indicates that digital tools significantly improve student motivation, participation, and academic performance by offering real time feedback and collaborative learning opportunities. However, the effectiveness of these tools largely depends on teacher competence, which includes digital literacy, pedagogical skills, and the ability to integrate technology effectively into teaching practices. Teacher competence is proposed as a moderating variable that strengthens or weakens the relationship between digital tools and student engagement. Research shows that teachers with strong digital competencies enhance classroom interactivity and improve learning outcomes, whereas inadequate skills limit the effectiveness of digital tools. Furthermore, studies highlight that teacher preparedness and training are essential for maximizing the benefits of digital technologies in education. This study employs a quantitative research design using Partial Least Squares Structural Equation Modeling. Data are collected through structured questionnaires measuring digital tool usage, teacher competence, and student engagement. The findings reveal that digital learning tools significantly enhance student performance engagement, while teacher competence positively moderates this relationship. The study contributes to the literature by integrating technological and pedagogical perspectives and provides practical implications for improving digital education strategies.
