AI in Higher Education | Impact, Potential, Risks | Future of Learning & Teaching | EdTech Pedagogy

A pedagogical analysis of AI's impact on higher education, warning that over-reliance on AI tools may promote passive learning, stifle creativity, and perpetuate biases, urging a mindful approach to integration.

TBD
Professional Documentary
Updated 2025

About This Documentary

In this video essay analysis, we investigate the impact of AI tools from a pedagogical perspective. How is Artificial Intelligence reshaping the very foundation of higher education? What is the impact of Artificial Intelligence on learning and teaching? These questions become critical as we navigate the transformative power of AI tools in academia. What happens when AI-driven content is everywhere? Do students swap active learning for passive scrolling? When convenience suppresses creativity, are we trading depth for speed? In an era where we can leverage AI for personalised learning experiences, we must also ask ourselves: Can we risk affecting authentic human creativity by over-relying on AI? Can the widespread use of AI academic aids, such as automated writing evaluation tools or personalised e-tutors, inadvertently discourage students from collaborative learning experiences? Beyond just the efficiency of algorithms, what about the depth of human thought, art, and culture? How do AI tools fare when confronted with the nuances of human expression? Can AI tools carry biases? As we embrace the technological advancements of AI, it's crucial to check the datasets and training mechanisms behind them. And as AI is integrated into the educational environment, what about overreliance on these tools? Can it become a trap, lulling us into passive consumption and stifling the very creativity we aim to nurture?

Key Insights

Deep dive into real-world examples and case studies

Evidence-based framework connections and practical applications

Actionable takeaways for immediate implementation

Topics Covered

AIHigher EducationEdTechPedagogyFuture of LearningAI EthicsAI BiasActive LearningCritical ThinkingArtificial IntelligenceUniversityAcademia

Framework Connection

This video directly supports Pillar 9 of the Bridge Framework: AI Applications & Innovation

Explore Full Framework