Towards Academic Integrity: Using Bloom’s Taxonomy and Technology to Deter Cheating in Online Courses-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Towards Academic Integrity: Using Bloom’s Taxonomy and Technology to Deter Cheating in Online Courses

Published:2022 Issue: Volume: Page:447-466
ISSN:1860-949X
Container-title:Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19
language:
Short-container-title:

Author:

Agha Kakul^ORCID,Zhu Xia^ORCID,Chikwa Gladson^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93921-2_25

Reference60 articles.

1. McCabe, D. L., Treviño, L. K., & Butterfield, K. D. (2001). Cheating in academic institutions: A decade of research. Ethics and Behavior, 11(3), 219–232. https://doi.org/10.1207/S15327019EB1103_2

2. Newton, P. M. (2018). How common is commercial contract cheating in higher education and is it increasing? A systematic review. Frontiers in Education, 3. https://doi.org/10.3389/feduc.2018.00067.

3. Reedy, A., Pfitzner, D., Rook, L., & Ellis, L. (2021). Responding to the COVID-19 emergency: Student and academic staff perceptions of academic integrity in the transition to online exams at three Australian universities. International Journal of Educational Integrity, 17(1), 1–32. https://doi.org/10.1007/s40979-021-00075-9

4. Lancaster, T., & Cotarlan, C. (2021). Contract cheating by STEM students through a file sharing website: A Covid-19 pandemic perspective. International Journal of Educational Integrity, 17(1), 1–16. https://doi.org/10.1007/s40979-021-00070-0

5. Golden, J., & Kohlbeck, M. (2020). Addressing cheating when using test bank questions in online classes. Journal of Accounting Education, 52,. https://doi.org/10.1016/j.jaccedu.2020.100671

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Automated Online Examination Portal Using Convolutional Neural Network;2023 4th International Conference on Communication, Computing and Industry 6.0 (C216);2023-12-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3