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Download full textPredrag Oreški; Tanja Oreški; Ivana Ružic – Informatics in Education, 2025
This paper presents research findings on primary school students' awareness of the ethical aspects of using artificial intelligence (AI) tools for homework. The study used a self-constructed online questionnaire administered to 301 primary school students from grades five to eight attending two primary schools in Northwestern Croatia. The results…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Ethics
Direct linkDésiron, 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
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
Hedayati, Nasibeh; Kuusisto, Elina; Gholami, Khalil; Tirri, Kirsi – Journal of Beliefs & Values, 2019
This article examines moral conflicts identified by students (N = 302) and teachers (N = 20) in the context of Iranian schools. The data were gathered in 2016 from two lower secondary schools in Tehran, one for girls and one for boys. The content analysis of students' essays and teachers' interviews reveal that moral conflicts in Iranian secondary…
Descriptors: Foreign Countries, Moral Values, Moral Issues, Conflict
Patrzek, Justine; Sattler, Sebastian; van Veen, Floris; Grunschel, Carola; Fries, Stefan – Studies in Higher Education, 2015
In prior studies, academic procrastination has been discussed as an influencing factor of academic misconduct. However, empirical studies were conducted solely cross-sectionally and investigated only a few forms of academic misconduct. This large scale web-based study examined the responses of between 1359 and 2207 participants from different…
Descriptors: Time Management, Cheating, Foreign Countries, Correlation
Uluöz, Eren – African Educational Research Journal, 2020
Coronavirus disease 2019 (COVID-19) is defined as illness caused by a novel coronavirus now called severe acute respiratory syndrome. The only common thing to be evaluated in the flu category is that it is caused by the virus. The diseases have caused serious health problems and social problems throughout the world. The aim of this study is to…
Descriptors: Athletics, Student Attitudes, College Students, Teaching Methods
Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Psychology Learning and Teaching, 2015
Essays that are assigned as homework in large classes are prone to cheating via unauthorized collaboration. In this study, we compared the ability of a software tool based on Latent Semantic Analysis (LSA) and student teaching assistants to detect plagiarism in a large group of students. To do so, we took two approaches: the first approach was…
Descriptors: Plagiarism, Cheating, Essays, Homework
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
