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Nguyen Khoa Viet – Journal of Academic Ethics, 2025
The integration of generative AI tools in higher education presents both significant opportunities and challenges. This paper addresses two key questions: how AI should be incorporated into higher education and what ethical and pedagogical principles should guide its use. While AI enhances creativity, efficiency, and personalized learning, it also…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Ethics
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Junrie B. Matias; Gladys L. Lagura; Grace T. Flores; Trixie E. Cubillas; Laurence B. Calagui; Myron T. Cubillan; Ritchfildjay L. Mariscal; Erlin S. Rodas; Miraluna L. Herrera; Renante P. Tabudlong – Journal of Education and Learning (EduLearn), 2025
The COVID-19 pandemic caused unprecedented disruption worldwide, forcing higher education institutions to adopt blended learning. This sudden shift posed numerous challenges for both students and faculty members, making it essential to accurately evaluate teaching performance and effectiveness. Caraga State University, for instance, assesses…
Descriptors: Student Evaluation of Teacher Performance, Student Evaluation, Integrity, Influences
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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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Jennifer Sdunzik; Ann M. Bessenbacher; Wilella D. Burgess; Asia M. Mohamud; Abdirisak Dalmar – American Journal of Evaluation, 2025
The success of development projects and evaluations hinges on having access to research protocols and methodologies that consider the needs and characteristics of stakeholders, subjects, and context while remaining rigorous and culturally sound. These efforts are often complicated by a dearth of tools that have been tested for validity and…
Descriptors: Foreign Countries, Program Evaluation, International Programs, Data Collection
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Guo-lin Wang; Goodarz Shakibaei; Fidel Çakmak – British Educational Research Journal, 2025
Language learning practices have transformed significantly due to the advent of digital technologies like artificial intelligence (AI) tools and gamified mobile applications. This study explored the effects of gamified mobile language learning (GMLL) and AI-assisted language learning (AIALL) on academic integrity, creative trait motivation and…
Descriptors: Gamification, Second Language Learning, English (Second Language), Males
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Lancaster, Thomas – Journal of Academic Ethics, 2021
Is academic integrity research presented from a positive integrity standpoint? This paper uses Natural Language Processing (NLP) techniques to explore a data set of 8,507 academic integrity papers published between 1904 and 2019.Two main techniques are used to linguistically examine paper titles: (1) bigram (word pair) analysis and (2) sentiment…
Descriptors: Cheating, Integrity, Natural Language Processing, Educational Research
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Shea, John – Education, 2021
This article is a paradigm of full human development that is holistic, inherently relational, and morally mature. Integrity and mutuality, foundationally human as a process-paradox (each characteristic unique yet evolving together) is the essence of the fully human. Care and justice together, foundationally human as a process-paradox, is integrity…
Descriptors: Individual Development, Caring, Justice, Peace
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Yeo, Marie Alina – TESOL Journal, 2023
What does it mean to write, learn to write, and teach writing in an age when students can use the latest artificial intelligence (AI) co-authoring tools to produce entire essays without even adding an original idea or composing a single sentence? This article addresses questions of authorship and academic integrity concerning the use of AI writing…
Descriptors: Integrity, Ethics, Artificial Intelligence, Writing (Composition)
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Barrow, Mark – Higher Education: The International Journal of Higher Education Research, 2023
Nursing is an old vocation but is relatively new to the academy, with schools of nursing being established in Western universities in the late twentieth and early twenty-first centuries. Their establishment was presaged by earlier moves of the preparation of pre-registration nurses from apprenticeships served in hospitals to tertiary education…
Descriptors: Nursing Education, Universities, Hospitals, Community Colleges
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Tai, Joanna; Ajjawi, Rola; Bearman, Margaret; Boud, David; Dawson, Phillip; Jorre de St Jorre, Trina – Higher Education Research and Development, 2023
Assessment has multiple purposes, one of which is to judge if students have met outcomes at the requisite level. Underperformance in assessment is frequently positioned as a problem of the student and attributed to student diversity and/or background characteristics. However, the assessment might also be inequitable and therefore exclude students…
Descriptors: Student Evaluation, Inclusion, Student Diversity, Evaluation Methods
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Haque, Mustafizul; Kumar, V. Vijaya; Singh, Preeti; Goyal, Adheer A.; Upreti, Kamal; Verma, Ankit – Education and Information Technologies, 2023
Now a days with the rapidly increasing development of technology and communication system, the implementation of blockchain is continuously increasing in various sectors. With the increase in massive data in educational sectors there arise a requirement of handling such enormous data. This can be easily and securely handled by blockchain…
Descriptors: Meta Analysis, Information Technology, Technology Uses in Education, Technology Integration
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Perkins, Mike – Journal of University Teaching and Learning Practice, 2023
This paper explores the academic integrity considerations of students' use of Artificial Intelligence (AI) tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools, and highlight the potential ways that LLMs can support in the education of students in digital writing and beyond,…
Descriptors: Artificial Intelligence, College Students, Higher Education, Technology Uses in Education
Hebah Alquran – ProQuest LLC, 2023
The rapid growth of electronic learning (e-learning) platforms has raised concerns about cybersecurity risks. The vulnerability of university students to cyberattacks and privacy concerns within e-learning platforms presents a pressing issue. Students' frequent and intense internet presence, coupled with their extensive computer usage, puts them…
Descriptors: Electronic Learning, Computer Security, Internet, Safety
Sanja Calovic Nenezic; Milena Krtolica; Milica Jelic; Suzana Šekaric – Center for Educational Policy Studies Journal, 2023
At the University of Montenegro, increasing emphasis has recently been placed on academic integrity. Academic integrity is based on the principles of honesty, objectivity, openness, freedom in teaching and research, and responsibility to academia and society/the community. One of the basic principles of academic integrity is honesty. The present…
Descriptors: Integrity, Ethics, Foreign Countries, Cheating
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Brittland K. DeKorver; Mitchell Krahulik; Deborah G. Herrington – Journal of Chemical Education, 2023
The COVID-19 pandemic confronted chemistry instructors worldwide with many new challenges as they were quickly required to make the shift to remote instruction. One of these challenges was administering assessments in an online format. This was the topic of many discussions in the online support group Strategies for Teaching Chemistry (SFTC). This…
Descriptors: Chemistry, Science Teachers, Teacher Attitudes, COVID-19
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