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Record Nr. |
UNINA9911034958203321 |
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Autore |
Glendinning Irene |
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Titolo |
Ethics and Integrity in Education (Research) : Derived from the 9th European Conference on Ethics and Integrity in Academia / / edited by Irene Glendinning, Sarah Elaine Eaton, Beatriz Antoneita Moya Figueroa, Shiva Das Sivasubramaniam |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (279 pages) |
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Collana |
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Ethics and Integrity in Educational Contexts, , 2731-7803 ; ; 9 |
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Altri autori (Persone) |
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EatonSarah Elaine |
Moya FigueroaBeatriz Antoneita |
SivasubramaniamShiva Das |
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Disciplina |
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Soggetti |
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Educational sociology |
Artificial intelligence |
Science - Moral and ethical aspects |
Educational technology |
Education - Philosophy |
Educational tests and measurements |
Sociology of Education |
Artificial Intelligence |
Science Ethics |
Digital Education and Educational Technology |
Educational Philosophy |
Assessment and Testing |
Sociologia de l'educació |
Intel·ligència artificial |
Tecnologia educativa |
Tests i proves en educació |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. A Literature Review on AI Detection: Investigating the |
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Potential of Authorship Attribution Methods- Zander Janse van Rensburg -- Chapter 2. Academic Integrity and Staff Perceptions: Perspectives on Students’ Understanding of Academic Integrity, and Staff Needs in the Age of Artificial Intelligence - Caroline Campbell -- Chapter 3. An Approach to Evaluate the Impact of Academic Integrity Training for Educators by Analysing Assessment Referrals - Lauren Schrock, Asima Iqbal, Alexa Kirkaldy -- Chapter 4. From Healthcare to Higher Ed: A Five-Level Framework for Fostering Academic Integrity - Jessica Kalra -- Chapter 5. A Detailed Guide to Structural Topic Modelling in Educational Research: Insights from a Study on the Ethical Use of AI in Academia - Michael Weiss, Sabiha Mumtaz, Jamie Carmichael -- Chapter 6. Curriculum Dilemmas: How Can Teachers Foster Pupils’ Ability to Collaborate and Compete in the Swedish Education System? - Charlotta Ronn -- Chapter 7. University Policies on Academic Ethics and Integrity in Bulgaria -- Chapter 8. Towards an ethical standard: An analysis of perspectives and experiences in complying with basic ethical requirements -- Chapter 9. The Journey to Explicit Ethics Education for Czech Computer Science Teaching Assistants -- Chapter 10. Countering Education Fraud and Essay Mills through Legal Measures. |
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Sommario/riassunto |
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This book provides insights on approaches for enhancing ethical practice, professionalism and integrity for future development in academia and beyond. It does so by offering a thorough review of the background and processes to enhance academic integrity in the years of artificial intelligence. The book also explores the future of research integrity and ethics by examining lessons from the past. Ideas from research findings on how to incorporate an integrity culture in continuously changing secondary and higher education are addressed. The chapters are written by international authors who have been working in the fields of integrity sciences, focussing on ways to enhance ethics and integrity amongst students, academics and institutions (including schools). They identify approaches to deter and detect misconduct and discuss the ways to educate academic integrity amongst academic communities. The book addresses best practices from international institutions and how these can be transformed and adopted in different subject areas. Embracing and managing the use of generative artificial intelligence (GenAI) tools in education are key themes throughout. Special attention is given to the ethical use of GenAI, exploring the ways to minimise the misuses via policies and guidelines. |
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