Bridging Cognition and Computation: A Critical Framework for Hybrid Intelligence in Education
Abstract
The intersection of human cognition and computational intelligence represents one of the most consequential and theoretically complex frontiers in contemporary educational research. As artificial intelligence becomes increasingly embedded in education, a pressing need emerges to move beyond surface-level applications and develop frameworks that account for how human and machine agents jointly process, interpret, and act upon information in educationally meaningful ways. This talk addresses that need by proposing a critical conceptual framework for understanding hybrid intelligence through the lens of information processing theory. Grounded in foundational perspectives from cognitive psychology, distributed cognition, and the learning sciences, this presentation revisits classical information processing models and examines their explanatory adequacy and limitations when applied to contemporary human-AI configurations. Building on this critical foundation, the presentation introduces a structured framework that distinguishes key dimensions of hybrid information processing and the conditions under which machine-generated outputs are productively assimilated into human reasoning and decision-making. It is contended that advancing education in the age of artificial intelligence demands not a choice between human and machine intelligence, but a rigorous and theoretically informed commitment to understanding how the two can be meaningfully and equitably bridged.
Biography
Dirk IFENTHALER is a Professor and Chair of Learning, Design and Technology at the University of Mannheim, Germany, and UNESCO Co-Chair on Data Science in Higher Education Learning and Teaching at Curtin University, Australia. Dirk’s research focuses on the intersection of cognitive psychology, educational technology, data analytics, and organisational learning. He received an honorary doctorate in educational science (doctor honoris causa) from the University of Eastern Finland in 2024. Dirk IFENTHALER is the Editor-in-Chief of the Technology, Knowledge and Learning and Editor-in-Chief of Educational Technology & Society.
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Abstract
香港教育大學過去六年率先推動人工智能普及認知及開始研究如何把人工智能融入學校教育,致力培養面向未來的一代。這些舉措旨在讓學生掌握基礎的人工智能知識,並具備在學習中運用人工智能的能力。我們正在香港小學進行試點研究,將人工智能應用於中國語文、英國語文、數學、小學科學和小學人文等五個學科的特定學習課題。研究初步證明,我們可以運用人工智能於學科學習,引導教師熱情地思考。我們正在進一步研發教學方法,鼓勵學生在課堂上運用人工智能,發展他們的高階思維。本場小組討論將探討教師在教授人工智能的教學方法,及在課堂上運用人工智能的教學方法。
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This panel explores how higher education should respond to this new reality. Rather than viewing generative AI simply as a threat to academic integrity or as a shortcut for productivity, the discussion will examine how these technologies can become part of a critical and reflective learning process. Particular attention will be devoted to how students formulate queries, interpret outputs, identify limitations, verify information, and iteratively refine interactions with AI systems.
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