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Edmund Pickering; Clancy Schuller – Journal of Academic Ethics, 2025
Online tools are increasingly being used by students to cheat. File-sharing and homework-helper websites offer to aid students in their studies, but are vulnerable to misuse, and are increasingly reported as a major source of academic misconduct. Chegg.com is the largest such website. Despite this, there is little public information about the use…
Descriptors: Foreign Countries, Higher Education, Engineering Education, College Students
Maame Afua Nkrumah; Ronald Osei Mensah; Alwyna Sackey Addaquay – Discover Education, 2025
The study sought to examine the gender, faculty and school-based disparity that exists in students' research self-efficacy, perception of ethics in research and the level of stress they face in conducting research. A sample of 385 undergraduate students from the faculty of business and hospitality were selected from three public universities in…
Descriptors: Gender Differences, Student Attitudes, Student Research, Self Efficacy
Ka-Yan Fung; Kit-Yi Tang; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2024
Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…
Descriptors: Dyslexia, Children, Computer Software, Early Intervention
Yovav Eshet – Education and Information Technologies, 2024
The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
Matthew Quesnel; Brenda M. Stoesz – Australasian Journal of Educational Technology, 2025
Contract cheating is a significant concern in higher education, requiring a multifaceted teaching and learning approach to address it. Quizzing students about their writing to promote engagement, confirm authorship and detect cheating has not yet been investigated systematically. Therefore, in this study, our objective was to explore the validity…
Descriptors: Cheating, Authors, Computer Uses in Education, Validity
Iouri Kotorov; Yuliya Krasylnykova; Mar Pérez-Sanagustín; Fernanda Mansilla; Julien Broisin – Journal of Learning Analytics, 2024
The quality of the data and the amount of correct information available is key to informed decision-making. Higher education institutions (HEIs) often employ various decision support systems (DSSs) to make better choices. However, there is a lack of systems to assist with decision-making to promote innovation in teaching and learning. In this…
Descriptors: Decision Making, Case Studies, Instructional Innovation, Teaching Methods
Livinus Obiora Nweke; Uchenna Franklin Okebanama; Gibson Uwaezuoke Mba – Discover Education, 2025
The integration of Internet of Things (IoT), Artificial Intelligence (AI), and cybersecurity presents new opportunities for innovation and entrepreneurship, yet traditional educational approaches often lack the interdisciplinary and applied focus required to develop these competencies. This study evaluates the impact of an experiential learning…
Descriptors: Entrepreneurship, Artificial Intelligence, Internet, Information Security
Xiaohua Liu – Asia-Pacific Education Researcher, 2025
The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Alsager, Haroon Nasser – Arab World English Journal, 2020
Numerous studies have been concerned with developing new authorship recognition systems to address the increasing rates of cybercrimes associated with the anonymous nature of social media platforms, which still offer the opportunity for the users not to reveal their true identities. Nevertheless, it is still challenging to identify the real…
Descriptors: Social Media, Semitic Languages, Authors, Computer Security
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention
Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Jia, Jiyou; He, Yunfan – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic…
Descriptors: Artificial Intelligence, Supervision, Computer Assisted Testing, Electronic Learning
Md. Mahadhi Hasan; Anika Sikder; Rashed Mahmud – Language Teaching Research Quarterly, 2025
Some serious instances of plagiarism have been discussed in Bangladesh's institutions, where students, researchers, and even faculty members were given severe penalties. This study explores the factors influencing teachers of English at the tertiary level in Bangladesh regarding plagiarism, including emerging concerns around AI-based plagiarism. A…
Descriptors: Language Teachers, English (Second Language), Second Language Learning, Second Language Instruction
Development of a Computer Program for the Identification Key to Insect Orders (Arthropoda: Hexapoda)
Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation

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