Workshop Overview

Artificial intelligence is rapidly reshaping higher education, influencing how students access information, engage with learning, complete assignments, and develop knowledge and skills. As AI tools become increasingly accessible and sophisticated, institutions and educators are being challenged to reconsider long-established assumptions about teaching, learning, assessment, academic integrity, and student engagement.

While much of the discussion surrounding AI has focused on technologies and tools, the more fundamental question facing higher education is how to preserve and strengthen meaningful human learning in an environment where AI can increasingly perform many cognitive and knowledge-based tasks. This requires educators to move beyond questions of detection and compliance and toward a deeper examination of what students should learn, what they should be able to do independently, how learning should be assessed, and how AI can be integrated in ways that enhance rather than diminish educational quality.

Recent work by CLICKS, Quality Matters and other sector organizations suggests that the central challenge is no longer whether AI should be used in higher education, but how it can be integrated in ways that strengthen learning, engagement, accessibility, and educational quality while preserving the essential role of human judgment, interaction, reflection, creativity, and academic inquiry. As institutions move beyond experimentation toward more intentional adoption, increasing attention is being placed on course design, learner engagement, authentic assessment, transparency, and the development of responsible AI practices that support rather than replace meaningful learning.

Jointly developed by Quality Matters (QM) and CLICKS, this interactive 4-hour online workshop explores how institutions and faculty members can adopt a human-centered approach to AI integration that maintains academic quality, promotes student learning, and supports responsible innovation. Participants will examine practical strategies for designing learning experiences that leverage the strengths of both human intelligence and artificial intelligence while preserving the central role of educators and learners. The workshop focuses on a fundamental question facing higher education today: What should students still know, do, and demonstrate independently in an age of AI? Through this lens, participants will explore approaches to teaching, learning, and assessment that foster critical thinking, judgment, creativity, reflection, collaboration, and ethical reasoning while ensuring that AI enhances rather than replaces meaningful learning.

Workshop Outcomes

At the end of this workshop participants will be able to:

Analyze the implications of artificial intelligence for teaching, learning, student
engagement, and educational quality.

Differentiate between learning experiences and tasks that should remain primarily human-centered and those that may appropriately incorporate AI
support.

Evaluate the alignment between learning outcomes, learning activities, assessment approaches, and AI integration strategies within a course or learning experience.

Apply principles of human-centered learning design to create meaningful and engaging learning experiences in AI-enabled environments.

Develop strategies for promoting responsible, transparent, and ethical student use of AI while maintaining academic integrity and learning quality.

Redesign selected teaching, learning, or assessment activities to better support meaningful human learning in an age of AI.

Workshop Structure

Session 1

Human Learning in an AI-Enabled World

Session 2

Designing Learning Experiences that Matter

Session 3

Assessment for Learning in the Age of AI

Session 4

From Principles to Practice

Reflection: What should students still know, do, and demonstrate independently in an age of AI?

Delivery Approach

Expert presentations, practical examples, guided reflection, interactive discussions, polling activities, peer exchange, and hands-on redesign exercises. Participants will engage in structured activities that encourage them to critically examine the implications of AI for their own teaching practice and identify practical opportunities for enhancing learning, assessment, and student engagement through a human-centered approach to AI integration.

The workshop may be of interest to:

Facilitator

Ms. Rachel Brooks
Director, QA Implementation Solutions, Quality Matters

Date : 22nd October, 2026
Time :
11:00 AM – 15:00 PM UAE Time

Early Bird fee: 125 USD  
(Prior to 25th September, 2026)

Workshop Fee : 150 USD

Venue: Online Via

Duration:

4 Hours

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