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Showing 1 to 15 of 62 results Save | Export
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Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
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Jonathan Hoseana; Andy Leonardo Louismono; Oriza Stepanus – International Journal of Mathematical Education in Science and Technology, 2025
We describe and evaluate a method to mitigate unwanted student collaborations in assessments, which we recently implemented in a second-year undergraduate mathematics module. The method requires a list of specific pairs of students to be prevented from collaborating, which we constructed based on the results of previous assessments. We converted…
Descriptors: Graphs, Color, College Mathematics, Undergraduate Students
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Awdry, Rebecca; Dawson, Phillip; Sutherland-Smith, Wendy – Assessment & Evaluation in Higher Education, 2022
Increasing pressure is being placed on governments and legislators in different countries to take action against assignment outsourcing in higher education. Global discussions focus on prohibiting commercial outsourcing providers, such as contract cheating services. Despite evidence to suggest that outsourcing behaviours by students are…
Descriptors: Cheating, Educational Legislation, Prevention, Assignments
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Flom, Jacalyn; Green, Karen; Wallace, Steven – Active Learning in Higher Education, 2023
Cheating in higher education has numerous negative implications, including degrading program reputations, inflating student retention rates, and cultivating poor ethical practices, all of which have implications for what students do in the workplace after graduation. Therefore, by understanding the current student population, Generation Z, it is…
Descriptors: Cheating, Ethics, Student Behavior, Age Groups
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Kurt Schmitz; Veda C. Storey – Journal of Teaching and Learning with Technology, 2024
Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for largeenrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high…
Descriptors: Large Group Instruction, Assignments, Integrity, Student Evaluation
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Elkhatat, Ahmed M.; Elsaid, Khaled; Almeer, Saeed – International Journal for Educational Integrity, 2021
One of the main goals of assignments in the academic environment is to assess the students' knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has been solely made by the students to assess their competence acquisition. Therefore, Text-Matching Software Products (TMSPs) are used by academic…
Descriptors: Plagiarism, Identification, Assignments, Computer Software
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Nuria Brufau Alvira; Peter Bannister; Alexandra Santamaría Urbieta – Higher Education Quarterly, 2025
This study, conducted at a fully online Spanish higher education institution, documents the validation of a bespoke quality assessment tool designed to measure the susceptibility of formative assignments to AI academic misconduct. The research explored the impact of Generative AI (GenAI) technologies in the Humanities. The framework study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Foreign Countries
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Awdry, Rebecca – Assessment & Evaluation in Higher Education, 2021
The extent and reach of commercial cheating opportunities is ever present; thousands of websites promote differing business models offering assignments in multiple languages and currencies. In addition to commercial companies, students are known to outsource their assignments from friends and family. Assignment outsourcing and contract cheating…
Descriptors: Assignments, Outsourcing, Cheating, Contracts
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Amanda Light Dunbar; Sandra Chang-Kredl – Changing English: Studies in Culture and Education, 2025
Long before ChatGPT, it was an open secret that students did not always read the books they were assigned in their English Language Arts (ELA) classes, relying instead on online study guides like SparkNotes. Via a retrospective survey, our exploratory study examined (1) the rate of SparkNotes use among high-school ELA students; (2) why students…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Arts
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Curtis, Guy J.; McNeill, Margot; Slade, Christine; Tremayne, Kell; Harper, Rowena; Rundle, Kiata; Greenaway, Ruth – Studies in Higher Education, 2022
The highest estimates of the prevalence of commercial contract cheating in Australia come from self-report surveys, which suggest that around 2% of students engage in commercial contract cheating during their higher education studies. However, self-report surveys are limited in that participants under-report socially-undesirable behaviours. In…
Descriptors: Measurement Techniques, Incidence, Cheating, Contracts
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Awdry, Rebecca; Groves, Andrew – International Journal for Educational Integrity, 2023
Assignment outsourcing is an intractable challenge for higher education. While various academic and legislative approaches have sought to explain/respond to this problem, recent media, community, and government concerns suggest students are increasingly outsourcing assessments. This paper reports on the qualitative findings of an international…
Descriptors: Assignments, Outsourcing, Higher Education, College Students
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Waltzer, Talia; Dahl, Audun – Journal of Moral Education, 2021
As they navigate academic life, students must decide whether the acts of copying they encounter constitute plagiarism, and whether those acts are wrong. The present study investigated students' perceptions, evaluations, and reasoning about copying. In interviews about hypothetical scenarios involving copying, undergraduates (N = 60) reported…
Descriptors: Student Attitudes, Plagiarism, Ethics, Undergraduate Students
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Alexander, Katarzyna; Savvidou, Christine; Alexander, Chris – Teaching English with Technology, 2023
Recent developments in AI technologies and the increasing accessibility of AI tools, such as ChatGPT, have raised concerns about academic integrity in higher education. Thus, this research aims to shed light on the challenges faced by English as a Second Language (ESL) lecturers in identifying AI-generated texts, and highlighting the skills and…
Descriptors: Identification, Artificial Intelligence, Writing Assignments, Second Language Learning
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Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating
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Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
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