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GATE

Generative AI for Teaching and Education
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The educational hub for consultancy, collaboration, networking, and resource and knowledge sharing among researchers, practitioners, and educators interested in generative AI's pedagogical potential

Why GATE

As generative artificial intelligence (GenAI) continues to advance, it holds great promise for transforming education and promoting innovative pedagogical strategies. Generative AI tools, such as GPT-3.5 or GPT-4, have the potential to support innovative pedagogical strategies, including personalized learning, real-time feedback, and the development of critical thinking and problem-solving skills.

Despite its potential, there is limited research on the pedagogical implications of generative AI in the higher education field to effectively integrate generative AI as a teaching and learning tool. There is a need for further exploration of specific pedagogical strategies and evidenced-based guidelines, in response to heightened concerns surrounding GenAI in teaching and learning.

HOW GATE Responds

This initiative aims to invite practitioners from universities for knowledge exchange and the development of evidence-based guidelines for applying generative AI through practical workshops, informative seminars and real-world curriculum design and development. There will also be empirical research to inform its effective integration into teaching and learning through the development of evidence-based pedagogical guidelines and strategies for generative AI in higher education

Generative AI in Education

Artificial Intelligence (AI) is sweeping the globe, and generative AI, in particular, has been hotly discussed, especially in the education field.

In order to seize the opportunity to innovate and improve teaching and learning through AI, the Centre for Learning Enhancement And Research (CLEAR) has collaborated with different units/departments to hold a series of activities to assist teachers and students at CUHK to embrace and acquaint with AI tools.

Workshops / Seminars

MAR 06 2023 12.30-13.30

Dr Christopher SEE (SBS, CUHK)

Ms Judy LO (ITSC, CUHK)

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MAY 02 2023 12.30-13.30

Mr Ming LEUNG (TED, CityU)

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MAY 31 2023 16.00-17.15

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JUN 08 2023 09.00-18.30

Prof Alexandre ERLER (IPMC, NYCU)

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JUL 21 2023 12.00-14.00

Dr Leon LEI (TALIC, HKU)

Prof Eliza MIK (Law, CUHK)

Prof Nina XIE (Management, LUHK)

AUG 30 2023 12.00-14.00

Prof Paul LAM (CLEAR, CUHK)

Prof Vivian LEE (CLEAR, CUHK)

Prof Irwin KING (KEEP & ELITE, CUHK)

Prof Yun DAI (CRI, CUHK)

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OCT 25 2023 12.30-14.30

Mr Seth KWOK (CUHKLB, CUHK)

Dr Eric TSUI (EDC, POLYU)

Dr Simon WANG (LC, HKBU)

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