Intelligent Tutoring Systems in E-Learning Environments: Design, Implementation and Evaluation

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[1]  Judy Kay,et al.  Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework , 2007, Int. J. Artif. Intell. Educ..

[2]  Kurt VanLehn,et al.  The Andes Physics Tutoring System: Lessons Learned , 2005, Int. J. Artif. Intell. Educ..

[3]  Kenneth R. Koedinger,et al.  Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement , 2006, Intelligent Tutoring Systems.

[4]  Ani Grubišić,et al.  EVEDIN : A System for Automatic Evaluation of Educational Influence , 2007 .

[5]  Neil T. Heffernan,et al.  What Level of Tutor Interaction is Best? , 2007, AIED.

[6]  Jeffrey Johnson,et al.  Can Complexity Help Us Better Understand Risk? , 2006 .

[7]  Mark J. Gierl,et al.  Using the Attribute Hierarchy Method to Make Diagnostic Inferences about Examinees' Cognitive Skills in Algebra on the SAT. , 2008 .

[8]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[9]  Neil T. Heffernan,et al.  The Assistment Builder: A Rapid Development Tool for ITS , 2005, AIED.

[10]  Zachary A. Pardos,et al.  Determining the Significance of Item Order In Randomized Problem Sets , 2009, EDM.

[11]  Neil T. Heffernan,et al.  Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required , 2006, Intelligent Tutoring Systems.

[12]  Beverly Park Woolf,et al.  Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels , 2006, Intelligent Tutoring Systems.

[13]  Joseph E. Beck,et al.  Using learning decomposition to analyze student fluency development , 2005 .

[14]  Neil T. Heffernan,et al.  Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning , 2009, EDM.

[15]  Neil T. Heffernan,et al.  Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses , 2006, WWW '06.

[16]  J. Beck,et al.  Comparing Pedagogical Approaches for Teaching the Control of Variables Strategy , 2009 .

[17]  Peter Brusilovsky,et al.  Open user profiles for adaptive news systems: help or harm? , 2007, WWW '07.

[18]  Albert T. Corbett,et al.  Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology , 2008, Intelligent Tutoring Systems.

[19]  Neil T. Heffernan,et al.  The eXtensible Tutor Architecture: A New Foundation for ITS , 2005, AIED.

[20]  P. Brusilovsky,et al.  NewsMe: A Case Study for Adaptive News Systems with Open User Model , 2007, Third International Conference on Autonomic and Autonomous Systems (ICAS'07).

[21]  John R. Anderson,et al.  Student modeling in the ACT Programming Tutor. , 1995 .

[22]  R. Almond,et al.  Focus Article: On the Structure of Educational Assessments , 2003 .

[23]  Neil T. Heffernan,et al.  Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration , 2004, Intelligent Tutoring Systems.

[24]  Zachary A. Pardos,et al.  Detecting the Learning Value of Items In a Randomized Problem Set , 2009, AIED.

[25]  R. Sternberg,et al.  "Dynamic testing": Erratum. , 1998 .

[26]  Judy Kay,et al.  Learner Know Thyself: Student Models to Give Learner Control and Responsibility , 1997 .

[27]  Neil T. Heffernan,et al.  Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System , 2008, Intelligent Tutoring Systems.

[28]  Cristina Conati,et al.  On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks , 1997 .

[29]  Neil T. Heffernan,et al.  Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems , 2006, Intelligent Tutoring Systems.

[30]  Neil T. Heffernan,et al.  Scaffolding vs. Hints in the Assistment System , 2006, Intelligent Tutoring Systems.

[31]  John R. Anderson,et al.  Rules of the Mind , 1993 .

[32]  J. Lopreato,et al.  General system theory : foundations, development, applications , 1970 .

[33]  Robert J. Mislevy,et al.  The Role of Probability-Based Inference in an Intelligent Tutoring System. , 1995 .

[34]  Neil T. Heffernan,et al.  Student Modeling in an Intelligent Tutoring System , 2011 .

[35]  Neil T. Heffernan,et al.  The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS Creation , 2006, FLAIRS Conference.

[36]  Kenneth R. Koedinger,et al.  Distinguishing Qualitatively Different Kinds of Learning Using Log Files and Learning Curves , 2005 .

[37]  B. Junker,et al.  Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory , 2001 .

[38]  Neil T. Heffernan,et al.  The AS SISTment Builder: Supporting the Life Cycle of ITS Content Creation , 2008 .

[39]  Ricardo Conejo,et al.  Introducing Prerequisite Relations in a Multi-layered Bayesian Student Model , 2005, User Modeling.

[40]  Susan Bull,et al.  An Intelligent Learning Environment with an Open Learner Model for the Desktop PC and Pocket PC , 2003 .

[41]  Vincent Aleven,et al.  An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor , 2002, Cogn. Sci..

[42]  Peter Brusilovsky,et al.  User Models for Adaptive Hypermedia and Adaptive Educational Systems , 2007, The Adaptive Web.

[43]  K. Koedinger,et al.  Automating Cognitive Model Improvement by A * Search and Logistic Regression , 2005 .

[44]  Paul Brna,et al.  Applying Interactive Open Learner Models to Learning Technical Terminology , 2001, User Modeling.

[45]  Neil T. Heffernan,et al.  Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System , 2009, IEEE Transactions on Learning Technologies.

[46]  Gordon I. McCalla,et al.  Granularity-Based Reasoning and Belief Revision in Student Models , 1994 .

[47]  Neil T. Heffernan,et al.  Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test? , 2008, EDM.

[48]  Peter Brusilovsky,et al.  User Modeling in a Distributed E-Learning Architecture , 2005, User Modeling.

[49]  Brian W. Junker,et al.  Predicting end-of-year accountability assessment scores from monthly student records in an online tutoring system , 2006 .

[50]  Dylan Wiliam,et al.  Formative Assessment: Getting the Focus Right , 2006 .

[51]  M. Prensky.  Digital Natives, Digital Immigrants , 2001 .

[52]  John R. Anderson,et al.  Cognitive Tutors: Lessons Learned , 1995 .

[53]  Russell G. Almond,et al.  Bayesian networks: A teacher's view , 2009, Int. J. Approx. Reason..

[54]  Claude Berge,et al.  Graphs and Hypergraphs , 2021, Clustering.

[55]  Richard Foote,et al.  Mathematics and Complex Systems , 2007, Science.

[56]  J. Ware,et al.  Applied Longitudinal Analysis , 2004 .

[57]  George J. Klir,et al.  Facets of Systems Science , 1991 .

[58]  Alexander Renkl,et al.  Learning from Worked-Out-Examples: A Study on Individual Differences , 1997, Cogn. Sci..

[59]  Neil T. Heffernan,et al.  Addressing the assessment challenge with an online system that tutors as it assesses , 2009, User Modeling and User-Adapted Interaction.

[60]  Zachary A. Pardos,et al.  Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods , 2007, AIED.

[61]  Russell G. Almond,et al.  Modeling Diagnostic Assessments with Bayesian Networks , 2007 .

[62]  Tiffany Barnes,et al.  The Q-matrix Method: Mining Student Response Data for Knowledge , 2005 .

[63]  R. Stiggins.  From Formative Assessment to Assessment for Learning: A Path to Success in Standards-Based Schools , 2005 .

[64]  K. Tatsuoka.  Toward an Integration of Item-Response Theory and Cognitive Error Diagnosis. , 1987 .

[65]  Kenneth R. Koedinger,et al.  An architecture for plug-in tutor agents , 1996 .

[66]  Antonija Mitrovic,et al.  Evaluating the Effects of Open Student Models on Learning , 2002, AH.

[67]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[68]  Albert T. Corbett,et al.  A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems , 2006, Intelligent Tutoring Systems.

[69]  W. Ashby,et al.  An Introduction to Cybernetics , 1957 .

[70]  B. Junker,et al.  Do Skills Combine Additively to Predict Task Di culty in Eighth-grade Mathematics ? , 2006 .