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Using Generative AI Effectively in Higher Education

Using Generative AI Effectively in Higher Education

Sustainable and Ethical Practices for Learning, Teaching and Assessment

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  • Release Date: 14/06/2024
  • Barcode: 9781032773988
  • Imprint: Routledge
  • Publisher: Taylor & Francis
Using Generative AI Effectively in Higher Education

Using Generative AI Effectively in Higher Education

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Sustainable and Ethical Practices for Learning, Teaching and Assessment

Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably.


Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably.

This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy.

This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.



ADDITIONAL DETAILS

  • Contributor: Sue Beckingham (Edited by), Jenny Lawrence (Edited by), Stephen Powell (Edited by), Peter Hartley (Edited by)
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