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Kylie E. Hunter; Mason Aberoumand; Sol Libesman; James X. Sotiropoulos; Jonathan G. Williams; Jannik Aagerup; Rui Wang; Ben W. Mol; Wentao Li; Angie Barba; Nipun Shrestha; Angela C. Webster; Anna Lene Seidler – Research Synthesis Methods, 2024
Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…
Descriptors: Integrity, Randomized Controlled Trials, Participant Characteristics, Computer Software
Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
M. V. Lubarda; A. M. Phan; C. Schurgers; N. Delson; M. Ghazinejad; S. Baghdadchi; M. Minnes; M. Kim; C. Pilegard; J. Relaford-Doyle; C. L. Sandoval; H. Qi – Computer Science Education, 2025
Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…
Descriptors: Distance Education, Undergraduate Students, Integrity, Computer Science Education
Yang Gao; Qikai Wang; Xiaochen Wang – Asia Pacific Journal of Education, 2024
Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Will Miller – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
In the ever-evolving domain of higher education, the introduction of artificial intelligence (AI) marks a pivotal moment, promising to redefine the essence of academic assessment. This evolution brings with it a surge of potential to streamline and enrich assessment methodologies, yet it simultaneously ushers in a period of uncertainty and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Computer Software
Pàmies, Maria del Mar; Valverde, Mireia; Cross, Christine – Assessment & Evaluation in Higher Education, 2020
This article examines the management of the seemingly ubiquitous problem of plagiarism by students in higher education. An integrated review of the conceptual and empirical literature to date is undertaken in the pursuit of two objectives. First, to provide structure to the scattered knowledge about the topic, which is achieved by developing a…
Descriptors: Plagiarism, Educational Research, College Students, Cheating
Medway, Dominic; Roper, Stuart; Gillooly, Leah – British Educational Research Journal, 2018
Contract cheating is currently a concern for universities and the higher education (HE) sector. It has been brought into the spotlight in recent years through the growth of online essay mills, where students can easily commission and purchase written assessment responses. This study contributes to the wider literature on academic integrity in HE…
Descriptors: Cheating, Contracts, College Students, Higher Education

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