Using Sequential Pattern Mining to Explore Learners’ Behaviors and Evaluate Their Correlation with Performance in Inquiry-Based Learning
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-66610-5_21
Reference23 articles.
1. Bunderson, E.D., Christensen, M.E.: An analysis of retention problems for female students in university computer science programs. J. Res. Comput. Edu. 28(1), 1–18 (1995)
2. Workman, M.: Performance and perceived effectiveness in computer-based and computer-aided education: do cognitive styles make a difference? Comput. Hum. Behav. 20(4), 517–534 (2004)
3. Blikstein, P.: Using learning analytics to assess students’ behavior in open-ended programming tasks. In: 1st International Conference on Learning Analytics and Knowledge, pp. 110–116. ACM, Banff (2011)
4. Vihavainen, A.: Predicting Students’ Performance in an Introductory Programming Course Using Data from Students’ Own Programming Process. In: 13th International Conference on Advanced Learning Technologies, pp. 498–499. IEEE, Beijing (2013)
5. Wilson, B.C., Shrock, S.: Contributing to success in an introductory computer science course - a study of twelve factors. ACM SIGCSE Bullet. 33(1), 184–188 (2001)
Cited by 18 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. The Sequence Matters in Learning - A Systematic Literature Review;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18
2. Process Derivation Methodology for Reconfigurable Smart Factory;International Journal of Precision Engineering and Manufacturing;2024-01-20
3. Learning analytics in virtual laboratories: a systematic literature review of empirical research;Smart Learning Environments;2023-03-09
4. Retention Factors in STEM Education Identified Using Learning Analytics: A Systematic Review;Education Sciences;2022-11-03
5. A case study for evaluating learners' behaviors from online cybersecurity training platform on digital forensics subject;2022 International Conference on Advanced Technologies for Communications (ATC);2022-10-20
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