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010 a| 2024011245;

020 a| 9781032773988q| (hardback);

020 a| 9781032774039q| (paperback);

020 z| 9781003482918q| (ebook);

035 a| (WaSeSS)ssj0003208463;

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050 00 a| LB1028.43b| .U79 2024;

082 00 a| 370.285/632| 23/eng/20240318;

245 00 a| Using generative AI effectively in higher educationh| [electronic resource] :b| sustainable and ethical practices for learning, teaching and assessment /c| edited by Sue Beckingham, Jenny Lawrence, Stephen Powell and Peter Hartley.;

246 3 a| Using generative artificial intelligence effectively in higher education;

260 a| Abingdon, Oxon ;a| New York, NY :b| Routledge,c| 2024.;

263 a| 2406;

300 a| pages cm.;

490 0 a| SEDA focus;

504 a| Includes bibliographical references and index.;

505 0 a| Using generative AI effectively in higher education / Peter Hartley, Sue Beckingham, Jenny Lawrence, Stephen Powell -- Section A. Institutional strategies for building generative AI capability -- Pedagogy and policy in a brave new world : a case study on the development of generative AI literacy at the University of Liverpool / Samuel Saunders, Ceridwen Coulby, Rob Lindsay -- Supporting inclusion in academic integrity in the age of GenAI / Mary Davis -- Section B. Developing generative AI literacies -- Building self-confidence and fostering autonomous learning : the role of generative AI in higher education / James Bedford, Mira Kim, James Ciyu Qin -- Equitable integration of GenAI in higher education : insights from current practices and educator attitudes / Samantha Newell, Tina Beynen, Jennie Mills, Jon Mason -- "Understood the assignment" : co-designing a prompt-engineering toolkit for academic writing / Kirsty Hemsworth, Jayne Evans, Alex Walker -- Section C. Curriculum design for a generative AI enabled world -- Re-imagining student engagement in an AI-enhanced classroom : strategies and practices / Hazel Farrell -- The potential of AI text-to-image generation in medical education : the educator and students' perspective / Pierce Burr, Ajay Kumar, Tim Young -- Use of generative AI agents for scalable roleplay activities in the health sciences / Stian Reimers, Lucy Myers -- Embracing generative AI in education : a path towards authentic assessment / Noelle Hatley, Pauline Penny -- Section D. Assessment in a generative AI enabled world -- Generative AI and the implications for authentic assessment / Stephen Powell, Rachel Forsyth -- Embracing generative AI in authentic assessment : challenges, ethics and opportunities / Rebecca Upsher, Claire Heard, Sumeyra Yalcintas, Jayne Pearson, James Findon -- Process not product in the written assessment / David Smith, Nigel Francis -- Sustainable and ethical GenAI for the common good: looking back and forward / Sue Beckingham, Jenny Lawrence, Stephen Powell, Peter Hartley.;

506 a| Available only to authorized users.;

520 a| "'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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Artificial intelligencex| Educational applications.=| ^A255328;

650 0 a| Education, Higherx| Effect of technological innovations on.=| ^A270013;

650 0 a| Generative programming (Computer science)=| ^A866451;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Beckingham, Sue.?| UNAUTHORIZED;

700 1 a| Lawrence, Jennyc| (Writer on education and training)?| UNAUTHORIZED;

700 1 a| Powell, Stephen,d| 1966-?| UNAUTHORIZED;

700 1 a| Hartley, Peter,d| 1946-=| ^A519614;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3941849&scope=site&custid=s5822723&authtype=ip,shib;

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Using generative AI effectively in higher education sustainable and ethical practices for learning, teaching and assessment / edited by Sue Beckingham, Jenny Lawrence, Stephen Powell and Peter Hartley.

Format	Electronic
Publication Info	Abingdon, Oxon ; New York, NY : Routledge, 2024.
Description	pages cm.
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Artificial intelligence--Educational applications. Education, Higher--Effect of technological innovations on. Generative programming (Computer science)

Other author/creator	Beckingham, Sue.
Other author/creator	Lawrence, Jenny (Writer on education and training)
Other author/creator	Powell, Stephen, 1966-
Other author/creator	Hartley, Peter, 1946-
Variant title	Using generative artificial intelligence effectively in higher education
Series	SEDA focus
Contents	Using generative AI effectively in higher education / Peter Hartley, Sue Beckingham, Jenny Lawrence, Stephen Powell -- Section A. Institutional strategies for building generative AI capability -- Pedagogy and policy in a brave new world : a case study on the development of generative AI literacy at the University of Liverpool / Samuel Saunders, Ceridwen Coulby, Rob Lindsay -- Supporting inclusion in academic integrity in the age of GenAI / Mary Davis -- Section B. Developing generative AI literacies -- Building self-confidence and fostering autonomous learning : the role of generative AI in higher education / James Bedford, Mira Kim, James Ciyu Qin -- Equitable integration of GenAI in higher education : insights from current practices and educator attitudes / Samantha Newell, Tina Beynen, Jennie Mills, Jon Mason -- "Understood the assignment" : co-designing a prompt-engineering toolkit for academic writing / Kirsty Hemsworth, Jayne Evans, Alex Walker -- Section C. Curriculum design for a generative AI enabled world -- Re-imagining student engagement in an AI-enhanced classroom : strategies and practices / Hazel Farrell -- The potential of AI text-to-image generation in medical education : the educator and students' perspective / Pierce Burr, Ajay Kumar, Tim Young -- Use of generative AI agents for scalable roleplay activities in the health sciences / Stian Reimers, Lucy Myers -- Embracing generative AI in education : a path towards authentic assessment / Noelle Hatley, Pauline Penny -- Section D. Assessment in a generative AI enabled world -- Generative AI and the implications for authentic assessment / Stephen Powell, Rachel Forsyth -- Embracing generative AI in authentic assessment : challenges, ethics and opportunities / Rebecca Upsher, Claire Heard, Sumeyra Yalcintas, Jayne Pearson, James Findon -- Process not product in the written assessment / David Smith, Nigel Francis -- Sustainable and ethical GenAI for the common good: looking back and forward / Sue Beckingham, Jenny Lawrence, Stephen Powell, Peter Hartley.
Abstract	"'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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2024011245
ISBN	9781032773988 (hardback)
ISBN	9781032774039 (paperback)
ISBN	(ebook)

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Using generative AI effectively in higher education sustainable and ethical practices for learning, teaching and assessment / edited by Sue Beckingham, Jenny Lawrence, Stephen Powell and Peter Hartley.

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