Maximizing Student Learning Outcomes as a Function of Psychological Dynamics and Classroom Management Practices

Abstract

This paper examines the psychological aspects, classroom management and the digital-AI learning environment and how they affect student learning in higher education. While traditional teaching models prioritize information, there have been calls to consider student engagement as a crucial factor for learning outcomes. The emerging use of digital platforms and generative AI has transformed the way information is accessed. This, of course, has also diminished the value of classrooms and their significance.
The research looks at issues of attention, motivation, self-regulated learning and cognitive load. It takes into account digital distraction and AI courseware. In this paper, cognitive distractions and short attention spans are thought to be factors in disengagement in classroom-based learning.
The paper discusses research and observations from classrooms to suggest that to enhance student performance, teaching must be transformed by engaging them. Blending psychological insights with flexible classroom management approaches can improve engagement, promote attention and reinstate the classroom as the site of learning in modern higher education.