Different Futures of Adaptive Collaborative Learning Support
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Education
Link
http://link.springer.com/content/pdf/10.1007/s40593-016-0102-3.pdf
Reference22 articles.
1. Baghaei, N., Mitrovic, A., & Irwin, W. (2007). Supporting collaborative learning and problem solving in a constraint-based CSCL environment for UML class diagrams. International Journal of Computer-Supported Collaborative Learning, 2(2–3), 159–190.
2. Bernsen, N. O., Dybkjær, H., & Dybkjær, L. (1997). What should your speech system say? Computer, 30(12), 25–31. doi: 10.1109/2.642788 .
3. Diziol, D., & Rummel, N. (2010). How to design support for collaborative e-learning: a framework of relevant dimensions. In B. Ertl (Ed.), E-collaborative knowledge construction: learning from computer-supported and virtual environments (pp. 162–179). Hershey, PA: IGI Global.
4. Fischer, F., Kollar, I., Stegmann, K., & Wecker, C. (2013). Toward a script theory of guidance in computer-supported collaborative learning. Educational Psychologist, 48(1), 56–66. doi: 10.1080/00461520.2012.748005 .
5. Kapur, M. (2008). Productive failure. Cognition and Instruction, 26(3), 379–424.
Cited by 42 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. AI-driven learning analytics applications and tools in computer-supported collaborative learning: A systematic review;Educational Research Review;2024-08
2. Feedback sources in essay writing: peer-generated or AI-generated feedback?;International Journal of Educational Technology in Higher Education;2024-04-12
3. Didaktische Perspektiven auf Learning Analytics in der Hochschulbildung;Doing Higher Education;2024
4. Capturing self‐regulated learning processes in virtual reality: Causal sequencing of multimodal data;British Journal of Educational Technology;2023-09-30
5. A comparison of flipped learning with traditional learning (face-to-face) in large calculus courses: The effects on students’ achievement and cognitive engagement;Journal of Mathematics and Science Teacher;2023-09-24
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