Explore the Archive
Explore the Archive
Artificial intelligence (AI) has been a transformational force in higher education today, providing new opportunities to differentiate instruction to meet individual learning needs. Despite the creation of multiple online platforms, digital assessments and automated feedback systems, many universities still use traditional, uniform teaching practices that do not cater for different learner backgrounds, motivations and cognitive preferences. Although AI-powered personalization is widely acknowledged as an exciting solution, empirical evidence on how well it works, especially in real classroom settings and in developing regions is scarce. This study addresses this gap by assessing the impact of an AI-based adaptive learning system that dynamically aligns the instructional content according to the performance trend, pace of learning and engagement behaviors of the students. The research will be conducted using a mixed-methods methodology, which will combine performance metrics and analytics, tailored content recommendations, engagement metrics, and surveys of student perceptions to analyze both the quantitative increase in learning outcomes and qualitative information about the perceptions of the learner. Findings show that AI-powered personalization has an important impact on improving academic performance, engagement, and be well received by students as supportive and accessible. The study adds to the practical and theoretical implications for the institutions who are interested in incorporating adaptive learning technologies, providing evidence-based recommendations for effective adoption in higher education settings.
Journal of Innovations in Social and Applied Sciences (JISAS) is a leading international, peer-reviewed, open-access journal dedicated to advancing knowledge across the diverse fields of social and applied sciences. We provide a dynamic platform for researchers, practitioners, and thought leaders to share original research, comprehensive reviews, and innovative methodologies that address complex societal and technological challenges.
Our journal welcomes interdisciplinary contributions that bridge the gap between theory and practice, encouraging collaboration among scholars from various disciplines. By fostering a culture of academic excellence, transparency, and inclusivity, JISAS aims to accelerate the dissemination of impactful research that drives positive change in communities worldwide.
At JISAS, we are committed to upholding the highest standards of scholarly publishing, ensuring rapid peer review, and maintaining open access to all published content. Our mission is to inspire new perspectives, promote ethical research practices, and support the global exchange of ideas that lead to innovative solutions for real-world problems.
“JISAS is a beacon for interdisciplinary research, connecting scholars and practitioners worldwide.”
The aims and objectives of JISAS are to advance the frontiers of knowledge and practice in the social and applied sciences by publishing high-quality, original research, comprehensive reviews, and innovative methodologies. We are dedicated to fostering a vibrant academic community that values interdisciplinary collaboration, critical thinking, and the translation of research into real-world impact.
JISAS welcomes submissions in a wide range of topics at the intersection of social and applied sciences. We encourage innovative, interdisciplinary, and impactful research in, but not limited to, the following areas: