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Automated Extraction of Revision Events from Keystroke Data
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Rianne Conijn; Emily Dux Speltz; Evgeny Chukharev-Hudilainen – Reading and Writing: An Interdisciplinary Journal, 2024
Revision plays an important role in writing, and as revisions break down the linearity of the writing process, they are crucial in describing writing process dynamics. Keystroke logging and analysis have been used to identify revisions made during writing. Previous approaches include the manual annotation of revisions, building nonlinear…
Descriptors: Automation, Revision (Written Composition), Word Processing, Computers
Simple Techniques to Bypass GenAI Text Detectors: Implications for Inclusive Education
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Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
The Dark Side of Text-Matching Software: Worries and Counterproductive Behaviour among European Upper Secondary School and Bachelor Students
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Mads Paludan Goddiksen; Mikkel Willum Johansen; Anna Catharina Vieira Armond; Mateja Centa; Christine Clavien; Eugenijus Gefenas; Nóra Kovács; Marcus Tang Merit; I. Anna S. Olsson; Margarita Poškute; Júlio Borlido Santos; Rita Santos; Vojko Strahovnik; Orsolya Varga; P. J. Wall; Peter Sandøe; Thomas Bøker Lund – International Journal for Educational Integrity, 2024
Text-matching software (TMS) is a standard part of efforts to prevent and detect plagiarism in upper secondary and higher education. While there are many studies on the potential benefits of using this technology, few studies look into potential unintended side effects. These side effects include students worrying about being accused of plagiarism…
Descriptors: Computer Software, Secondary School Students, Bachelors Degrees, Undergraduate Students
Generative AI and the Future of Higher Education: A Threat to Academic Integrity or Reformation? Evidence from Multicultural Perspectives
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Abdullahi Yusuf; Nasrin Pervin; Marcos Román-González – International Journal of Educational Technology in Higher Education, 2024
In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence of generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication of GenAI tools has raised concerns about their potential to automate teaching and…
Descriptors: Artificial Intelligence, Educational Trends, Futures (of Society), Higher Education
Artificial Intelligence on Campus: Parameters for Thoughtful Action
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Alec Thomson – Community College Enterprise, 2024
Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new…
Descriptors: Artificial Intelligence, Information Technology, Position Papers, Educational Policy
Teacher Engagement with Automated Text Simplification for Differentiated Instruction
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Fengkai Liu; Yishi Jiang; Chun Lai; Tan Jin – Language Learning & Technology, 2024
Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…
Descriptors: Automation, Individualized Instruction, Natural Language Processing, Technology Uses in Education