TBLT: AVOIDING REDUNDANCY TO REDUCE COMPLEXITY

Abstract

Redundancy, often perceived as unnecessary repetition in language, is a multifaceted aspect that profoundly influences communication. This paper explores redundancy's features, how to overcome and its data analysis to enhance language proficiency and communication effectiveness. Drawing from a literature review, including studies on redundancy errors among learners, the significance of redundancy in communication systems, and its role in language acquisition, this research identifies a gap in addressing effective methods to mitigate redundancy errors. To address this gap, the study employs a combination of collaborative learning and data-driven language learning methodologies, incorporating task-based activities and game-based learning. The effectiveness of these methods is evaluated through pre- and post-intervention assessments, revealing significant improvements in students' understanding and avoidance of redundancy. The findings suggest that contemporary methods like collaborative teaching, data-driven learning, and task-based activities effectively reduce redundancy and improve student writing quality. Increased awareness of redundant phrases and enhanced proficiency in revision are observed, facilitated by peer collaboration and personalized feedback.