Unveiling the Dynamics of AI-Enhanced Digital Learning: Interlinking Anxiety, Learning Styles and Home Environment in Shaping Future-Ready Students
Author : Monika and Dr. Vinod Kumar Kanvaria
Abstract :
In the current era of rapid technological transformation, artificial intelligence (AI) has emerged as a powerful catalyst for educational innovation, enabling adaptive, interactive, and personalized learning experiences. The present study examines the relationship between AI-enhanced digital learning engagement and academic achievement among senior secondary students, and further explores the influence of academic anxiety, learning styles, and home environment. A correlational research design was adopted, and data were collected from a stratified random sample of 120 students (60 male and 60 female students) studying in government and private schools in Rohtak, Haryana. Standardized tools were used to measure academic anxiety, learning styles, and home environment, along with a researcher-developed AI-Integrated Digital Learning Engagement (AIDLE) Scale. Academic achievement scores were obtained from official school records. Results indicated significant positive correlations of AI-enhanced digital learning with academic achievement (r = .57, p < .01) and home environment (r = .52, p < .01), while academic anxiety showed a significant negative correlation (r = −.46, p < .01). Regression analysis further revealed that AIDLE engagement and home environment significantly predicted academic performance. The study concludes that integrating AI into learning, supported by a positive home environment and effective management of academic anxiety, can promote the development of future-ready learners capable of thriving in the digital age. The findings have implications for designing AI-based personalized learning environments in Indian secondary education.
Keywords :
Academic anxiety, AI in education, digital learning, home environment, learning styles.
