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Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Désiron, Juliette C.; Petko, Dominik – Education and Information Technologies, 2023
The growth in digital technologies in recent decades has offered many opportunities to support students' learning and homework completion. However, it has also contributed to expanding the field of possibilities concerning homework avoidance. Although studies have investigated the factors of academic dishonesty, the focus has often been on college…
Descriptors: Ethics, Cheating, Homework, Influence of Technology
Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
Dilky Felsinger; Thilina Halloluwa; Ishani Fonseka – Education and Information Technologies, 2024
Academic misconduct is a growing problem in online education. While there are ways to curb academic misconduct in online exams, utilization of technology to proctor online exams in a simple manner in limited-resource settings remain unclear. This study set out to identify a reliable technique for utilizing webcam footage to identify instances of…
Descriptors: Video Technology, Computer Assisted Testing, Supervision, Depleted Resources
Yang Zhang – Education and Information Technologies, 2024
In the modern world, there are an enormous number of changes due to the COVID-19 pandemic. This fact influences all areas and, in particular, music education. The connection between the pandemic and changes in music education related to oboe teaching will be considered in this work. The research investigates the correlation between music education…
Descriptors: Musical Instruments, Music Education, COVID-19, Pandemics
Yingying Jiang; Lindai Xie; Guohui Lin; Fangfang Mo – Education and Information Technologies, 2024
ChatGPT has surprised academia with its remarkable abilities but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of…
Descriptors: Artificial Intelligence, Computer Software, College Faculty, Social Media
Pritpal Singh Bhullar; Mahesh Joshi; Ritesh Chugh – Education and Information Technologies, 2024
ChatGPT has emerged as a significant subject of research and exploration, casting a critical spotlight on teaching and learning practices in the higher education domain. This study examines the most influential articles, leading journals, and productive countries concerning citations and publications related to ChatGPT in higher education, while…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education
Cabellos, Beatriz; Pozo, Juan-Ignacio; Marín-Rubio, Kevin; Sánchez, Daniel L. – Education and Information Technologies, 2022
Video games are the digital entertainment resource most in demand by young people, which has led an increasing number of education experts to study their possible benefits. In particular, in this research, we set out to identify the potential of 'Papers, Please' to promote moral learning. Thus, we have tried to identify those objectives that go…
Descriptors: Prosocial Behavior, Video Games, Values Education, Moral Values
Huiling Ma; Lilliati Ismail; Weijing Han – Education and Information Technologies, 2024
The advancement and application of Artificial Intelligence (AI) has introduced innovative changes in language learning and teaching. In particular, the widespread utilization of various chatbots as foreign language learning partners showcases their remarkable potential contribution to the field. Nevertheless, there are currently few studies that…
Descriptors: Bibliometrics, Artificial Intelligence, Computer Software, Second Language Learning
Ullah, Abrar; Xiao, Hannan; Barker, Trevor – Education and Information Technologies, 2019
Online examinations are an integral component of online learning environments and research studies have identified academic dishonesty as a critical threat to the credibility of such examinations. Academic dishonesty exists in many forms. Collusion is seen as a major security threat, wherein a student invites a third party for help or to…
Descriptors: Usability, Information Security, Computer Assisted Testing, Online Courses
Alizadeh, Iman – Education and Information Technologies, 2018
This study aimed to investigate medical students' evaluation of using Telegram as a Social Networking Site (SNS) in English for Specific Academic Purposes (ESAP) programs. To this end, the students' explanatory responses about the merits and demerits of the SNS as well as their suggestions for improving its educational usability were collected.…
Descriptors: Medical Students, Student Attitudes, English for Academic Purposes, Social Networks