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Using Generative ai Effectively in Higher Education: Sustainable and Ethical Practices for Learning, Teaching and Assessment (Seda Focus Series) (en Inglés)
Beckingham Sue,Lawrence Jenny,Powell Stephen (Autor)
·
Routledge
· Tapa Dura
Using Generative ai Effectively in Higher Education: Sustainable and Ethical Practices for Learning, Teaching and Assessment (Seda Focus Series) (en Inglés) - Beckingham Sue,Lawrence Jenny,Powell Stephen
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Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 05 de Junio y el
Lunes 17 de Junio.
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Reseña del libro "Using Generative ai Effectively in Higher Education: Sustainable and Ethical Practices for Learning, Teaching and Assessment (Seda Focus Series) (en Inglés)"
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 generative artificial intelligence in work, study and social life responsibly and with integrity. It provides an evidence-based resource for any kind of HE provider (modern, college-based, 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.
