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Pasty Asamoah; Daniel Zokpe; Richard Boateng; John Serbe Marfo; Sheena Lovia Boateng; David Asamoah; Abdul Samed Muntaka; John Frimpong Manso – Cogent Education, 2024
The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on…
Descriptors: Artificial Intelligence, Ethics, Intellectual Disciplines, Knowledge Level
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Thuli G. Mthembu; Tibuyile L. Dube; Tijana Milojevic; Beverly P. Ndaramu; Philasande Nyangaza; Siyamtanda O. Qolo; Candice Steenkamp – Transformation in Higher Education, 2024
Students including health sciences at universities that appear to subscribe to neoliberal logic are at risk for social injustices and inequalities, anxiety, depression, academic demands and unethical activities. There has been little discussion about students' self-care and well-being in and beyond the neoliberal universities. This article…
Descriptors: Daily Living Skills, Well Being, Health Sciences, Social Justice
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Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
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Colin Green; Eric Brewe; Jillian Mellen; Adrienne Traxler; Sarah Scanlin – Physical Review Physics Education Research, 2024
This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty from the United States following the Spring 2020 term; of these, 258 completed a follow-up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores…
Descriptors: Teacher Attitudes, Online Courses, Physics, Science Instruction
Michele Lee Hudson – ProQuest LLC, 2024
It's well-known that motivation is essential for learning and how well students do in school. Research also suggests that a student's motivation is likely connected to their behavior in the classroom. This study was particularly interested in understanding how different types of student motivation (e.g., wanting to learn vs. wanting to look good)…
Descriptors: Goal Orientation, Behavior Problems, High School Students, Academic Achievement
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Garza Mitchell, Regina L.; Parnther, Ceceilia – New Directions for Community Colleges, 2018
This chapter describes how one community college addresses academic integrity education and provides recommendations for implementing and enforcing policies and practices across the college.
Descriptors: Community Colleges, Integrity, School Policy, Cheating
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Sierra-Díaz, Manuel Jacob; González-Víllora, Sixto; Fernandez-Rio, Javier – Journal of Teaching in Physical Education, 2023
Purpose: The goal was twofold: (a) to analyze the evolution of sportspersonship attitudes and negative values along a learning unit using the contextualized sport alphabetization model and (b) to determine the associations between sportspersonship and self-determined motivation. Method: The study followed a preexperimental, cross-sectional design…
Descriptors: Ethics, Physical Education, Grade 4, Elementary School Students
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Nai-Ying Whang – SAGE Open, 2023
We explored the moderated mediating effect of the causes of corruption in schools on its consequences through prevention and control promoted by leaders' moral impetus. We surveyed 81 Taiwanese elementary and secondary schools; 1,024 school principals, administrative staff, teachers, and parents completed valid questionnaires, which we analyzed…
Descriptors: Foreign Countries, Elementary Schools, Secondary Schools, Principals
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Zopluoglu, Cengiz – Educational and Psychological Measurement, 2019
Researchers frequently use machine-learning methods in many fields. In the area of detecting fraud in testing, there have been relatively few studies that have used these methods to identify potential testing fraud. In this study, a technical review of a recently developed state-of-the-art algorithm, Extreme Gradient Boosting (XGBoost), is…
Descriptors: Identification, Test Items, Deception, Cheating
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Seaton, Katherine A. – International Journal of Mathematical Education in Science and Technology, 2019
To date, the way that academic misconduct is manifested in undergraduate mathematics coursework has been unexamined in the literature, with the consequence that policy and preventive education can fail to address it appropriately. This paper describes the particular features of the responses expected in mathematical tasks and provides concrete…
Descriptors: Integrity, Cheating, Plagiarism, Foreign Countries
Sinharay, Sandip – Grantee Submission, 2019
Benefiting from item preknowledge (e.g., McLeod, Lewis, & Thissen, 2003) is a major type of fraudulent behavior during educational assessments. This paper suggests a new statistic that can be used for detecting the examinees who may have benefitted from item preknowledge using their response times. The statistic quantifies the difference in…
Descriptors: Test Items, Cheating, Reaction Time, Identification
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Othman, Mohamad Khairi; Yaakob, Mohd Faiz Mohd; Fauzee, Mohd Sofian Omar; Zakaria, Normah; Abdullah, Shuhairimi – Journal of Language and Linguistic Studies, 2022
The success of a school depends on student outcome which can be measured based on three main aspects, namely academic, co-curriculum and personality. The ineffectiveness of programs organized by schools to cultivate good values among students has led to the need for certain efficient and systematic mechanisms to be established to assess the…
Descriptors: Outcomes of Education, Delphi Technique, Foreign Countries, State Universities
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Eppendi, Jhoni; Firdausya, Arfha Rizky – English Language Teaching Educational Journal, 2022
Transforming the conventional face-to-face EFL learning into virtual learning has been believed to be an ideal alternative to education access in the middle of the COVID-19 outbreak. Hypothetically, abrupt transitions will require adaptation and rising practical predicament since the necessary toolkit must be allocated individually to conduct the…
Descriptors: Listening Skills, Listening Comprehension, Distance Education, Electronic Learning
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Guangul, Fiseha M.; Suhail, Adeel H.; Khalit, Muhammad I.; Khidhir, Basim A. – Educational Assessment, Evaluation and Accountability, 2020
Due to the unprecedented COVID-19 incident, higher education institutions have faced different challenges in their teaching-learning activities. Particularly conducting assessments remotely during COVID-19 has posed extraordinary challenges for higher education institutions owing to lack of preparation superimposed with the inherent problems of…
Descriptors: Foreign Countries, COVID-19, Pandemics, Student Evaluation
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Bretag, Tracey; Harper, Rowena; Rundle, Kiata; Newton, Philip M.; Ellis, Cath; Saddiqui, Sonia; van Haeringen, Karen – Assessment & Evaluation in Higher Education, 2020
This article reports on one aspect of a nationally funded research project on contract cheating in Australian higher education. The project explored students' and educators' experiences of contract cheating, and the contextual factors that may influence it. This article reports the key findings from non-university higher education providers…
Descriptors: Foreign Countries, Cheating, Universities, College Students
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