Evaluating Adaptive Feedback Integration on Language Learning Platform

This study evaluates the integration of adaptive feedback in language learning platforms using a modified Technology Acceptance Model (TAM), incorporating variables such as User Satisfaction, Confirmation, Navigation, and Presentation. Through a quantitative research methodology, the study identifies factors influencing learners’ intentions to use and satisfaction with adaptive feedback systems. This study employs a purposive sampling method and utilizes the Structural Equation Model (SEM) for data analysis. Data collection was conducted using a Google Form questionnaire, which was distributed primarily through social media. The survey targeted respondents in the Jabodetabek region of Indonesia between November and December 2024. To ensure data validity, only responses from individuals who have used online learning platforms and are interested in integrating or adopting adaptive feedback in their lessons were included in the analysis. The findings aim to inform educators, platform developers, and policymakers in designing user-centered, effective language learning technologies. This research contributes to the broader discourse on optimizing digital education and leveraging adaptive systems to enhance learning outcomes in a rapidly evolving technological landscape.