Biography
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Conference contributions 1
ACADEMIC INTEGRITY IN THE AGE OF GENERATIVE AI:
Rethinking assessment strategies in higher education
The fast development of generative artificial intelligence poses several issues with respect to the traditional approaches to the assessment and integrity of academic writing. The capabilities provided by tools such as ChatGPT and other large language models allow students to easily create papers, summaries, and research works in minutes, which makes it difficult to evaluate their authorship and originality. For this reason, many institutions doubt whether plagiarism checkers such as Turnitin can provide an accurate assessment since these technologies cannot easily recognize AI-written texts. This paper explores how artificial intelligence changes the current state of affairs in terms of academic integrity and discusses the pedagogical implications of using detection-based technologies in assessment. Through analyzing current literature on the topic and institutional guidelines regarding the problem, the paper highlights the inefficiency of these technologies and suggests developing a new approach to assessment in order to cope with challenges that arise in the age of generative AI. Special emphasis is placed on the development of other forms of assessment that are less susceptible to potential abuse by students, such as oral exams, project work, reflection tasks, and controlled writing exercises in class. This method not only lowers the risk of cheating using artificial intelligence but also fosters more profound learning and involvement from the students. Moreover, the paper highlights the need for creating AI literacy among the learners and teachers so that they can harness the benefits of AI without compromising their integrity.