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Chiao Ling Huang; Chen Ling; Shu Ching Yang – European Journal of Psychology of Education, 2024
The popularity of Internet usage and the diverse and rich information available online make it easier for students to engage in academic misconduct, especially Internet plagiarism (IP). Therefore, this study investigated the IP intention of Chinese students and analyzed the influence of gender, educational level, achievement goals (AG), low…
Descriptors: Cheating, Student Attitudes, Student Experience, Intention
Juan, Liu Xin; Tao, Wu Yun; Veloo, Palanisamy K.; Supramaniam, Mahadevan – SAGE Open, 2022
Dishonest academic behavior (DAB) by students in Chinese higher education institutions has become a significant concern. However, the related study of academic dishonesty in mainland China is very limited. This study fills this gap by examining the theory of planned behavior and its three extended versions, validating the effectiveness of…
Descriptors: Prediction, Models, Cheating, Behavior Theories
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…
Descriptors: Electronic Learning, Educational Technology, Online Courses, Educational Environment
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use