期刊文献+

学习的革命:大数据与求知的新路径 被引量:2

Learning Revolution:Big Data and New Path of Knowledge
下载PDF
导出
摘要 大数据对学习的影响是革命性的,导致了学习方式个性化、学习资源海量化、学习思维新型化、学习过程可记录和学习活动协作化。同时也产生了新的问题:数据冰冷,情感缺失;资源冗杂,效率背离;数据蛰伏,思维错觉;技术依赖,记忆失能。探索大数据时代求知的新路径,就要保持头脑之理性,实现学习方式之更新,转变教育之心理,完善评价之多元,实现学习文化之革新,从而建构基于大数据的学习综合生态系统。 The impact of big data on learning is revolutionary,which leads to the individualization of learning methods,the massive learning resources,the new thinking of learning,the recordability of learning process and the collaboration of learning activities.At the same time it has also brought new problems:such as,cold data and emotional imbalance,miscellaneous resources and deviated efficiency,data worshiping and illusionary misconception,dependence on technology and memory disability.To explore the new path of learning in the era of big data,we must preserve our inner rationality,realize the diversity of learning methods,change the psychology of education,improve the diversity of evaluation,and realize the innovation of learning culture,so as to build a comprehensive learning ecosystem based on big data.
出处 《山东科技大学学报(社会科学版)》 2017年第5期11-18,共8页 Journal of Shandong University of Science and Technology(Social Sciences)
关键词 大数据 学习 教育 Big data learning education
  • 相关文献

参考文献3

二级参考文献19

  • 1Vaill, P. B., (1996). Learning as a Way of Being. SanFrancisco, CA, Jossey- Blass Inc.
  • 2Gonzalez, C., (2004). The Role of Blended Learning in the World of Technology. Retrieved December 10, 2004 from http://www. unt. edu/benehmarks/arehives/2004/september04/eis, htm.
  • 3Driscoll, M. (2000). Psychology of Learning for Instruction. Needham Heights, MA, AUyn & Bacon. 11,14-17,376.
  • 4Gredler, M. E., (2005) Learning and Instruction: Theory into Practice - 5th Edition, Upper Saddle River, NJ, Pearson Education.
  • 5Buell, C. (undated). Cognitivism. Retrieved December 10, 2004 from http://web, cocc. edu/ebuell/theories/eognitivism, htm.
  • 6Stephenson, K. , ( Internal Communication, no. 36 ) What Knowledge Tears Apart, Netzoorks Make Whole. Retrieved December 10, 2004 from http://www, netform, com/html/icf. pdf.
  • 7Gleick, J., (1987). Chaos: The Making of a New Science. New York, NY, Penguin Books.
  • 8Rocha, L. M. (1998). Selected Self- Organization and the Semiotics of Evolutionary Systems. Retrieved December 10, 2004 from http://informatics, indiana, edu/rocha/ises, html.
  • 9ScieneeWeek (2004) Mathematics: Catastrophe Theory, Strange Attractors, Chaos. Retrieved December 10, 2004 from http://scienceweek, com/2003/sc031226 - 2. htm.
  • 10Wiley, D. A and Edwards, E. K. (2002). Online selforganizing social systems: The decentralized future of online learning. Retrieved December 10, 2004 from http://wiley, ed.usu. edu/does/ososs, pdf.

共引文献274

同被引文献32

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部