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基于元认知能力发展的智能导学系统研究 被引量:13

Study on Intelligent Tutoring Systems for Promoting the Metacognitive Ability Development
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摘要 通过比较分析国际典型的7个智能导学系统,文章发现各系统之间存在教学法、心理学、技术和实用主义的差异,但在智能化程度和有效促进元认知发展方面具有相同点。之后,文章采用系统建模方法分析了学生的元认知策略,构建了ITS中的元认知能力模型。最后,文章以Betty’Brain系统为例,通过实证分析得出:元认知意识的智能导学系统不仅有利于促进学生元认知能力的发展,还能培养学生的问题解决能力。 Through comparing and analyzing seven international typical ITS(intelligent tutoring systems), it found that there were differences in teaching methods, psychology, technology and pragmatism among the systems, but there were also similarities in aspects of intelligent degree and effective promotion in metacognition development. Thereafter, the paper analyzed students' metacognitive strategy employing system modeling method, and constructed the metacognitive ability model about ITS. In the end, the paper took Betty's brain system as an example to make an empirical analysis, and the results shown that metacognitive awareness of ITS can promote learners' metacognitive ability development and cultivate learner's problem-solving ability.
出处 《现代教育技术》 CSSCI 2016年第3期107-113,共7页 Modern Educational Technology
基金 教育部人文社会科学研究规划基金"大数据支持下的个性化自适应学习及教育测量研究"(项目编号:15YJA880027) 教育部人文社会科学研究规划基金"基于知识图谱的开放学习资源自主聚合研究"(项目编号:14YJA880103) 中央高校基本科研业务费专项资金"吉林农村中小学教师远程培训学习适应性研究"(项目编号:130021049)的阶段性研究成果
关键词 智能导学系统 自主学习 元认知 认知 问题解决 ITS self-regulated learning metacognition cognition problem-solving
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参考文献11

  • 1蒋艳,马武林.中国英语写作教学智能导师系统:成就与挑战--以句酷批改网为例[J].电化教育研究,2013,34(7):76-81. 被引量:106
  • 2Segedy J R,Biswas G,Sulcer B.A model-based behavior analysis approach for open-ended environments[J].Educational Technology&Society,2014,(1):272-282.
  • 3Vesin B,Ivanovi?M,Budimac Z.Protus 2.0:Ontology-based semantic recommendation in programming tutoring system[J].Expert Systems with Applications,2012,(15):12229-12246.
  • 4Conati C,Gertner A,Vanlehn K.Using Bayesian networks to manage uncertainty in student modeling[J].User Modeling and User-Adapted Interaction,2002,(4):371-417.
  • 5Matsuda N,Cohen W W,Koedinger K R.Teaching the teacher:Tutoring Sim Student leads to more effective cognitive tutor authoring[J].International Journal of Artificial Intelligence in Education,2015,(25):1-34.
  • 6Segedy J R.Adaptive scaffolds in open-ended computer-based learning environments[D].Tennessee:Vanderbilt University,2014:24-28.
  • 7Arroyo I,Woolf B P,Burelson W,et al.A multimedia adaptive tutoring system for mathematics that addresses cognition,metacognition and affect[J].International Journal of Artificial Intelligence in Education,2014,(4):387-426.
  • 8Kinnebrew J S,Segedy J R,Biswas G.Analyzing the temporal evolution of students’behaviors in open-ended learning environments[J].Metacognition Learning,2014,(2):1-29.
  • 9姜强,赵蔚,王朋娇.自适应学习系统中双向适应交互评价实证研究[J].现代远程教育研究,2013,25(5):106-112. 被引量:31
  • 10Azevedo R,Johnson A,Chauncey A,et al.Self-regulated learning with Meta Tutor:Advancing the science of learning with metacognitive tools[A].Khine M S,Saleh I M.New Science of Learning:Cognition,computers and collaboration in education[M].Springer New York:Springer Science and Business Media,2010:225-247.

二级参考文献23

  • 1何克抗.教育技术学[M].北京:北京师范大学出版社,2005.
  • 2M.D. Shermis & J.C. Burstein (Eds.). Automated Essay.Scoring and Annotation of Essays with the Intelligent Essay Assessor[M].NJ: Lawrence Erlbaum, 2003 :43-54,87-112.
  • 3批改网论坛.批改网使用常见问题——学生篇.[DB/OL].(2012 -3 -13) [2013 -5 -16]. http://bbs.pigai.org/forum.php7mod =vie wthread& tid= 1031 &reltid= 13174&pre_thread_id=0&pre_pos=3&ext=.
  • 4Attali, Y.. Exploring the Feedback and Revision Features of Criterion [C]. Paper Presented at the Meeting of the National Councilon Measurement in Education (NCME),San Diego, CA, 2004.
  • 5Warschauer,M. & Grimes, D.. Automated Writing Assessment in the Classroom [J].Pedagogies:An International Journal, 2008, (3):22-36.
  • 6Chin, J. P. , Diehl, V. 3_ & Normal, IC L(1988). De- velopment of an Instrument Measuring User Satisfaction of the Hu- man - Computer Interface[A]. ACM CHI'88 Proceedinp[C].
  • 7Nivi, F. ( 2007 ) . Grockit The Social Learning Company [ EB/OL]. [ 2013 - 01 - 05 ]. https ://groekit. corn/.
  • 8Felder, R. M. & Silverman, L K(1988).Learning and Teaching Styles in Engineering Education [ J ]. Engineering Education,78 (7):674 - 681.
  • 9Ford, N. & Chen, S. Y. (2000). Individual Differ- ences, Hypermedia Navigation and Learning: An Empirical Study[ J]. Journal of Educational Multimedia and Hypermedia,9 (4) :281 - 311.
  • 10Ferreira,J. (2008). Knewton Adaptive Learning Plat- form[EB/OL]. [2013 -01 -05]. http://www, knewtor, corn/.

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引证文献13

二级引证文献163

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