ITM Web Conf.
Volume 39, 2021CIFEM'2020 – 3ème édition du Colloque International sur la Formation et l’Enseignement des Mathématiques et des sciences
|Number of page(s)||12|
|Section||TIC au service de l'éducation et de la formation|
|Published online||11 May 2021|
- J. Wang, Y. Tong, M. Ling, A. Zhang, L. Hao, and X. Li, “Analysis on Test Cheating and its Solutions Based on Extenics and Information Technology,” Procedia Computer Science, vol. 55, pp. 1009–1014, (2015), doi: 10.1016/j.procs.2015.07.102. [Google Scholar]
- H. P. Whitley and J. Starr, “Academic dishonesty among pharmacy students: does portable technology play a role?” Currents in Pharmacy Teaching and Learning, vol. 2, no. 2, pp. 94–99, (Mar. 2010), doi: 10.1016/j.cptl.2010.01.009. [Google Scholar]
- B. Keresztury and L. Cser, “New Cheating Methods in the Electronic Teaching Era,” Procedia - Social and Behavioral Sciences, vol. 93, pp. 1516–1520, (Oct. 2013), doi: 10.1016/j.sbspro.2013.10.074. [Google Scholar]
- Z. Kalhori, “The Relationship between Teacher-student Rapport and Student's Willingness to Cheat,” Procedia - Social and Behavioral Sciences, vol. 136, pp. 153–158, (Jul. 2014), doi: 10.1016/j.sbspro.2014.05.306. [Google Scholar]
- D. Faucher and S. Caves, “Academic dishonesty: Innovative cheating techniques and the detection and prevention of them,” Teaching and Learning in Nursing, vol. 4, no. 2, pp. 37–41, (Apr. 2009), doi: 10.1016/j.teln.2008.09.003. [Google Scholar]
- S. M. Russell and L. R. James, “Recording lying, cheating, and defiance in an Internet Based Simulated Environment,” Computers in Human Behavior, vol. 24, no. 5, pp. 2014–2025, (Sep. 2008), doi: 10.1016/j.chb.2007.09.003. [Google Scholar]
- E. Khodaie, A. Moghadamzadeh, and K. Salehi, “Factors Affecting the Probability of Academic Cheating School Students in Tehran,” Procedia - Social and Behavioral Sciences, vol. 29, pp. 1587–1595, (2011), doi: 10.1016/j.sbspro.2011.11.401. [Google Scholar]
- E. Stanculescu, “Affective Tendencies in Embarrassing Situations and Academic Cheating Behavior,” Procedia - Social and Behavioral Sciences, vol. 78, pp. 723–727, (May 2013), doi: 10.1016/j.sbspro.2013.04.383. [Google Scholar]
- C. Lucifora and M. Tonello, “Cheating and social interactions. Evidence from a randomized experiment in a national evaluation program,” Journal of Economic Behavior & Organization, vol. 115, pp. 45–66, (Jul. 2015), doi: 10.1016/j.jebo.2014.12.006. [Google Scholar]
- G. Orosz et al, “Linking cheating in school and corruption,” European Review of Applied Psychology, vol. 68, no. 2, pp. 89–97, Mar. 2018, doi: 10.1016/j.erap.2018.02.001. [Google Scholar]
- L. T. David, “Academic Cheating in College Students: Relations among Personal Values, Self-esteem and Mastery,” Procedia - Social and Behavioral Sciences, vol. 187, pp. 88–92, (May 2015), doi: 10.1016/j.sbspro.2015.03.017. [Google Scholar]
- E. M. Anderman, “The Effects of Personal, Classroom, and School Goal Structures on Academic Cheating,” in Psychology of Academic Cheating, Elsevier, (2007), pp. 87–106. [Google Scholar]
- E. Bilen and A. Matros, “Online cheating amid COVID-19,” Journal of Economic Behavior & Organization, vol. 182, pp. 196–211, (Feb. 2021), doi: 10.1016/j.jebo.2020.12.004. [Google Scholar]
- U. Stödberg, “A research review of e-assessment,” Assessment & Evaluation in Higher Education, vol. 37, no. 5, pp. 591–604, (Aug. 2012), doi: 10.1080/02602938.2011.557496. [Google Scholar]
- A. Okada et al, “Pedagogical approaches for e-assessment with authentication and authorship verification in Higher Education,” Br J Educ Technol, vol. 50, no. 6, pp. 3264–3282, (Nov. 2019), doi: 10.1111/bjet.12733. [Google Scholar]
- C. Hewson and J. P. Charlton, “An investigation of the validity of course-based online assessment methods: The role of computer-related attitudes and assessment mode preferences,” J Comput Assist Learn, vol. 35, no. 1, pp. 51–60, (Feb. 2019), doi: 10.1111/jcal.12310. [Google Scholar]
- M. Bahar and M. Asil, “Attitude towards e-assessment: influence of gender, computer usage and level of education,” Open Learning: The Journal of Open, Distance and e-Learning, vol. 33, no. 3, pp. 221–237, (Sep. 2018), doi: 10.1080/02680513.2018.1503529. [Google Scholar]
- G. M. Diekhoff, E. E. Labeff, K. Shinohara, and H. Yasukawa, “COLLEGE CHEATING IN JAPAN AND THE UNITED STATES,” Research in Higher Education, vol. 40, no. 3, pp. 343–353, (1999), doi: 10.1023/A:1018703217828. [Google Scholar]
- A. A. C. Teixeira and M. F. Rocha, “Cheating by economics and business undergraduate students: an exploratory international assessment,” Higher Education, p. 663–701, Jun. 2010. [Google Scholar]
- S. M. Stephen, “Karl Pearson’s Theoretical Errors and the Advances They Inspired,” Statistical Science, vol. 23, no. 2, pp. 261–271, (2008). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.