The assessment SHIFT: Traditional and technology-driven approaches to listening comprehension

Abstract

In language learning, listening is a basic yet frequently disregarded skill that has a direct impact on success in school, learning a second tongue, and interaction. Conventional listening training, which frequently relies on passive exercises like dictate, is unengaging and ineffective at fostering skill. This study presents the tech-enhanced listening assessment framework (TELAF), a cutting edge method intended to improve listening skills by utilizing immediate input processes, adaptable evaluations, and interacting technology. Using a method from action research as well as a quantitative semi-experimental strategy, the research project methodically sampled 80 grade 10 students and split them into testing (TELAF -based) along with control (pen-and-paper) groups. Both prior to and after the test were administered, and paired sample t tests and descriptive statistical methods were used for analyzing the information. The results showed that students exposed to telaf improved their ability to listen statistically significantly, moving from acceptable to highly acceptable levels of achievement. Engagement, understanding, and recall were all improved by the methodical incorporation of driven by technology tactics. Even though the findings of the research support TELAF’s effectiveness, its shortcomings such as limited sample size as well as contextualized specificity highlight the need for more extensive confirmation. However, telaf provides a versatile and expandable model for incorporating technological advances into paying attention instructions, offering insightful information to learners, legislators, and curriculum creators who want to maximize spoken language assessment procedures in modern times.