Be a Disruptor in the Higher Ed AI Disruption: From Awareness to Application Through Learning Frameworks and Theories

Abstract Book of the 10th World Conference on Future of Education

Year: 2026

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Be a Disruptor in the Higher Ed AI Disruption: From Awareness to Application Through Learning Frameworks and Theories

Feygens Saint-Joy

ABSTRACT:

Artificial intelligence represents a structural transformation in higher education that extends beyond technological adoption into pedagogy, curriculum design, and institutional identity. Generative AI systems are reshaping how knowledge is accessed, synthesized, and evaluated, challenging long-standing assumptions about academic rigor, authorship, assessment, and disciplinary expertise. As students gain immediate access to advanced analytical tools, the role of faculty must evolve from content transmission to intellectual architecture, emphasizing discernment, ethical reasoning, and contextual judgment.
This 60–90-minute interactive workshop introduces a four-pillar model for integrating AI into higher education: AI Literacy, Emotional Intelligence, Co-Intelligence, and Integration. Positioned in the Transparency in Learning and Teaching (TILT) framework, the Association of College and Research Libraries (ACRL) Framework for Information Literacy, and the Higher Education Learning Framework (HELF), the session provides a structured approach to redesigning assignments, assessments, and course experiences in ways that strengthen both human and technological competencies. Grounded in the learning theories and philosophy Humanism and Constructivism at the core.
Participants will explore bias awareness, ownership and attribution, and ethical AI use while engaging in applied exercises that reframe existing assignments using transparent criteria and contextual learning principles. The workshop advances the concept of co-intelligence, positioning AI not as a replacement for faculty expertise but as a cognitive collaborator that can enhance creativity, research inquiry, and instructional design. Emphasis is placed on cultivating emotional intelligence, adaptability, and critical thinking as core learning outcomes in an AI-enabled academic environment.
Rather than treating AI as a compliance issue or short-term disruption, this session invites educators to become architects of pedagogical transformation. Attendees will leave with a framework-driven strategy for integrating AI into their courses, strengthening academic integrity through transparency, and preparing students for a workforce where technical fluency and human-centered leadership coexist. The goal is not passive adaptation but intentional redesign, equipping faculty to lead confidently at the jagged frontier of higher education’s ongoing transformation. Students now have PhD’s at their fingertips, and the need is to understand how to navigate that access to vast knowledge and professors need to begin upskilling them for the future.

Keywords: AI Literacy, Emotional Intellegence, Learning Frameworks