From Labs to Learning Apps: Analyzing the Evolution and Future of Computer-Assisted Language Learning

The evolution of Computer-Assisted Language Learning (CALL) has transformed language education, integrating advanced technologies and innovative methodologies to enhance linguistic acquisition. This paper explores critical issues in CALL, including learner anxiety, educator preparedness, and inconsistencies in implementation, highlighting the challenges these factors pose to achieving effective outcomes. It examines emerging trends such as augmented reality (AR), gamification, artificial intelligence (AI), and virtual reality (VR), emphasizing their potential to reshape language learning environments through immersive, personalized, and context-rich experiences. Furthermore, the paper underscores the importance of addressing factors influencing reliability and validity in CALL assessments, including test design, administration, and learner characteristics. Drawing on theoretical and empirical insights, it discusses how these advancements align with contemporary pedagogical principles, promoting engagement, motivation, and inclusivity. The study concludes by advocating for a balanced integration of technological tools and sound pedagogical practices, ensuring that CALL continues to adapt to the dynamic needs of globalized, tech-savvy learners while fostering sustainable and effective language education.