Cathoven: Enhancing Language Acquisition through Tailored Input and Targeted Output Feedback

Language acquisition occurs when learners are exposed to comprehensible input slightly beyond their current level and are guided to notice and modify the errors in their output. However, mismatched input and inadequate feedback on output can hinder effective learning. Cathoven, an artificial intelligence assistant for language teachers, addresses these challenges by analyzing text difficulty, adapting materials, generating supplementary content and providing targeted feedback on students’ output. This tech review aims to present a comprehensive exploration of Cathoven's applications in English teaching and learning, highlighting both its advantages and limitations as a versatile tool.