Empowering Students From Assumptions to Knowledge

Author:

Gribble Lynn C.1ORCID,Wardrop Janis E.1

Affiliation:

1. University of New South Wales, Australia

Abstract

The arrival of ‘free to access' generative AI platforms in late 2022 has irrevocably changed the educational landscape. Of concern to many is how to uphold academic integrity in assessments ensuring students are able to demonstrate their learning in this new environment where a ‘machine' can research and write for you. In this chapter, the authors present a process which is designed to uncover the true nature of the ‘work' expected to be performed by students during assessment, which then allows GenAI tools to be knowingly used by students as just another research tool. While it is still early days, changing our understanding that what should be assessed is ‘the work' expected of students rather than the ‘output' suggests that all is not lost when it comes to academic integrity.

Publisher

IGI Global

Reference42 articles.

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2. Allyn, B. (2023, August 16). ‘New York Times’ considers legal action against OpenAI as copyright tensions swirl. New York Times.https://www.npr.org/2023/08/16/1194202562/new-york-times-considers-legal-action-against-openai-as-copyright-tensions-swirl

3. Impulsivity and Academic Cheating

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