Emerging E-learning trends: A study of faculty perceptions and impact of collaborative techniques using fuzzy interface system

Abstract

This study explores the emerging trends in e-learning from the perspective of university faculty, who play a crucial role in shaping the future of education. The rapid shift to digital education during and after COVID-19 has presented challenges for university faculty to grapple with new e-learning technologies. A qualitative research design was used to develop deep insights into upcoming e-learning trends. Data were collected from a sample of 70 teachers (35 males and 35 females) through a random sampling from the university faculty in the capital territory of Pakistan. The data collected through semi-structured interviews was analyzed qualitatively for thematic analysis using a fuzzy inference system on MATLAB, resulting in a system accuracy of 92% and a miss rate of 8%. The study identified important e-learning trends such as artificial intelligence, video-based learning, social collaboration, mobile learning, gamification, and micro-learning, emphasizing their potential for engagement and outcomes. The implementation of these strategies can significantly impact the education system, particularly on learning systems. The findings underscore the importance of universities focusing on strategic planning and faculty development. Moreover, institutes that adopt ethical policies can transform the academic environment and establish innovative structures that benefit both teachers' work and foster students' engagement, ultimately leading to improved efficiency and effectiveness. The study's findings are crucial for shaping the future of e-learning and its potential impact on the education system.