Ai in Higher Education: A Double Edged Sword-Webinar-CATECP

General Introduction

AI in Higher Education: A Double-Edged Sword discusses the growing role of Artificial Intelligence in transforming teaching, learning, and academic administration. Artificial Intelligence refers to systems capable of performing tasks that normally require human intelligence, such as learning, reasoning, problem-solving, and language understanding. In higher education, AI is increasingly used to personalize learning experiences,

automate administrative processes, analyze student data, and provide virtual assistance. While AI offers significant opportunities to enhance efficiency, accessibility, and learning outcomes, it also raises critical challenges related to ethics, equity, privacy, and over-reliance on technology. This session invites participants to critically examine both the benefits and risks of AI adoption in higher education contexts.

This Course is for

1. University students and postgraduate learners interested in understanding how artificial intelligence is transforming teaching, learning, assessment, and academic research in higher education, as well as the opportunities and risks it presents.
2. Early-career educators, teaching assistants, and academic administrators seeking practical insights into integrating AI tools into curriculum design, instructional delivery, student support, and academic management while maintaining academic integrity and educational quality.
3. Lecturers, researchers, and scholars focusing on education, educational technology, computer science, ethics, social sciences, and interdisciplinary studies who wish to critically examine the pedagogical, ethical, and governance implications of AI in higher education.
4. Globally minded participants and education practitioners eager to explore cross-regional perspectives on AI adoption in universities, including policy responses, institutional strategies, ethical challenges, and the balance between innovation, equity, and responsibility in an AI-driven academic landscape.

Benefits of Learning

1. Gain a comprehensive understanding of how AI is applied in higher education, including personalized learning, student engagement, accessibility, and administrative efficiency.
2. Identify the key benefits of AI such as adaptive learning, gamification, data-driven insights, and inclusive learning support for diverse learners.
3. Understand major challenges and risks of AI in education, including privacy and security concerns, algorithmic bias, equity and access issues, and over-reliance on automated systems.
4. Develop critical awareness of ethical issues related to data ownership, transparency, accountability, and academic integrity in AI-supported education.
5. Explore future trends of AI in teaching, learning, and lifelong education, and understand the evolving role of teachers in AI-enhanced learning environments.

About

Lecture

Projects

Resource

News

Partner

Contact