The State of Educational Data Mining in 2009: A Review and Future Visions.
暂无分享,去创建一个
[1] Ryan Shaun Joazeiro de Baker,et al. Modeling and understanding students' off-task behavior in intelligent tutoring systems , 2007, CHI.
[2] Gordon I. McCalla,et al. Utilizing Artificial Learners to Help Overcome the Cold-Start Problem in a Pedagogically-Oriented Paper Recommendation System , 2004, AH.
[3] Kenneth R. Koedinger,et al. An Open Repository and analysis tools for fine-grained, longitudinal learner data , 2008, EDM.
[4] Kenneth R. Koedinger,et al. Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor , 2008, EDM.
[5] Osmar R. Zaïane,et al. Building a Recommender Agent for e-Learning Systems , 2002, ICCE.
[6] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[7] Richard C. Anderson,et al. FEEDBACK PROCEDURES IN COMPUTER-ASSISTED ARITHMETIC INSTRUCTION , 1973 .
[8] Tiffany Barnes,et al. The Q-matrix Method: Mining Student Response Data for Knowledge , 2005 .
[9] Nadine Meskens,et al. Determination of factors influencing the achievement of the first-year university students using data mining methods , 2006 .
[10] Osmar R. Zaïane,et al. Web Usage Mining for a Better Web-Based Learning Environment , 2001 .
[11] Ryan Shaun Joazeiro de Baker,et al. Detecting Student Misuse of Intelligent Tutoring Systems , 2004, Intelligent Tutoring Systems.
[12] Agathe Merceron,et al. A Web-Based Tutoring Tool with Mining Facilities to Improve Learning and Teaching , 2003 .
[13] César Hervás-Martínez,et al. Data Mining Algorithms to Classify Students , 2008, EDM.
[14] J. Schofield. Computers and classroom culture , 1995 .
[15] Michel C. Desmarais,et al. A Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory , 2005, Int. J. Artif. Intell. Educ..
[16] Sebastián Ventura,et al. Educational data mining: A survey from 1995 to 2005 , 2007, Expert Syst. Appl..
[17] Joseph E. Beck,et al. High-Level Student Modeling with Machine Learning , 2000, Intelligent Tutoring Systems.
[18] Sebastián Ventura,et al. Discovering Prediction Rules in AHA! Courses , 2003, User Modeling.
[19] P. Tannenbaum,et al. Theories of cognitive consistency: a sourcebook. , 1968 .
[20] Jack Mostow,et al. How Who Should Practice: Using Learning Decomposition to Evaluate the Efficacy of Different Types of Practice for Different Types of Students , 2008, Intelligent Tutoring Systems.
[21] Gordon I. McCalla,et al. Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment , 2005 .
[22] Arnon Hershkovitz,et al. The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? , 2009, AIED.
[23] Mykola Pechenizkiy,et al. Predicting Students Drop Out: A Case Study , 2009, EDM.
[24] S. Tanimoto. Improving the Prospects for Educational Data Mining , 2007 .
[25] Gautam Biswas,et al. Mining Student Behavior Models in Learning-by-Teaching Environments , 2008, EDM.
[26] Osmar R. Za ¨ õane. Building a Recommender Agent for e-Learning Systems , 2002 .
[27] James C. Lester,et al. Modeling self-efficacy in intelligent tutoring systems: An inductive approach , 2008, User Modeling and User-Adapted Interaction.
[28] J. Beck. Difficulties in inferring student knowledge from observations ( and why you should care ) , 2007 .
[29] Judy Kay,et al. The Big Five and Visualisations of Team Work Activity , 2006, Intelligent Tutoring Systems.
[30] Kalina Yacef,et al. Educational Data Mining: a Case Study , 2005, AIED.
[31] Neil T. Heffernan,et al. Does Self-Discipline impact students' knowledge and learning? , 2009, EDM.
[32] Steven L. Tanimoto,et al. Student Consistency and Implications for Feedback in Online Assessment Systems , 2009, EDM.
[33] Arthur C. Graesser,et al. Automatic detection of learner’s affect from conversational cues , 2008, User Modeling and User-Adapted Interaction.
[34] Manolis Mavrikis,et al. Data-driven modelling of students' interactions in an ILE , 2008, EDM.
[35] Albert T. Corbett,et al. Cognitive Computer Tutors: Solving the Two-Sigma Problem , 2001, User Modeling.
[36] Toon Calders,et al. Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study , 2008, EDM.
[37] K. Koedinger,et al. Investigations into Help Seeking and Learning with a Cognitive Tutor , 2001 .
[38] Carolyn Penstein Rosé,et al. Supporting CSCL with automatic corpus analysis technology , 2005, CSCL.
[39] Kenneth R. Koedinger,et al. Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models , 2009, EDM.
[40] Jun Hu,et al. Scientometric analysis of the CHI proceedings , 2009, CHI.
[41] Judy Kay,et al. Clustering and Sequential Pattern Mining of Online Collaborative Learning Data , 2009, IEEE Transactions on Knowledge and Data Engineering.