AI, PSYCHOLOGY, AND MEDIA: DESIGNING FUTURE READY EDUCATIONAL EXPERIENCES

Abstract

The evolution of learning environments, cognitive engagement, and media-based instruction due to rapid adoption of AI in Education has resulted in an unprecedented acceleration of cultural change in educational systems. At the same time, AI technologies have not yet produced large scale empirical documentation regarding the specific effect AI based media has on Student Psychological Readiness or Experience. The goal of this Quantitative Research is to identify using a Structured Survey Research Design how AI technologies, Psychological Factors and Media Engagement converge to create Future Ready Learning Experiences. Data obtained from students and teachers using a standardized Likert-type Scale Survey administered at both Secondary and Tertiary Education institutions. The sample consist of respondents selected through Stratified Random Sampling to ensure representation across the various levels of Academics and Disciplines, with the goal of obtaining an accurate representation of students and teachers. Descriptive Statistics, Correlation, and Multiple Regression analyses performed to identify and analyze the relationship of AI adoption, Motivation, Cognitive Load, Media Literacy, and Perceived Learning Effectiveness on participants' educational experiences and potential for Future Readiness. The results demonstrate a significant positive correlation between using artificial intelligence solutions to facilitate media education and three (3) dimensions of student experience: motivation, engagement, and perceived competency. Additionally, the data show that several psychological factors (self-efficacy and attitude toward technology) mediate the relationship between using AI tools and learning outcomes. Integrating the use of AI-enhanced media technologies (for example: intelligent tutoring systems and adaptive learning environments) with effective instructional practices results in much more personalized learning experiences. However, there are some potential drawbacks associated with relying on technology as the primary means of instruction, ethical issues, and disparities in access to digital resources. Finally, this research indicates that the best way to prepare for the future of education (creating a more equitable, socially and emotionally supportive, engaging and interactive) will be to integrate AI, psychology and media. Furthermore, this survey provides implications for curriculum developers, policymakers and educational institutions about how best to incorporate AI-enhanced media tools into their schools and to promote student mental health.