Index Catalog // Hyrax

1. Theory and Practice: Improving Retention Performance through Student Modeling and System Building

Palavra-chave:: Intelligent Tutoring System, Deep Learning, student modeling, Performance factors analysis, Knowledge tracing, Knowledge retention, Robust learning, Recurrent neural networks, Educational data mining, and Spacing effect
O Criador:: Xiong, Xiaolu
Advisor:: Beck, Joseph E.
Editor:: Worcester Polytechnic Institute
Data Criada:: 2017-04-21
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

2. A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for A Hint

Palavra-chave:: Intelligent Tutoring System, Student Modelling, and Educational data mining
O Criador:: Zhu, Linglong
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2014-04-28
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

3. Tracing Knowledge and Engagement in Parallel by Observing Behavior in Intelligent Tutoring Systems

Palavra-chave:: student modeling, Knowledge tracing, Intelligent Tutoring System, Educational data mining, engagement, Bayesian networks, and Affect
O Criador:: Schultz, Sarah E
Advisor:: Arroyo, Ivon
Editor:: Worcester Polytechnic Institute
Data Criada:: 2015-01-27
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

4. Modeling Student Retention in an Environment with Delayed Testing

Palavra-chave:: student modeling, Intelligent Tutoring System, Educational data mining, Knowledge retention, and Robust learning
O Criador:: Li, Shoujing
Advisor:: Beck, Joseph E.
Editor:: Worcester Polytechnic Institute
Data Criada:: 2013-04-24
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

5. Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?

Palavra-chave:: assessment, computer adaptive test, Intelligent Tutoring System, item response theory, and Education
O Criador:: Whorton, Skyler
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2013-04-19
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

6. An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System

Palavra-chave:: ITS, learning progressions, Intelligent Tutoring System, personalized learning, computer adaptive, and prerequisite graph
O Criador:: Belhumeur, Corey T
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2013-04-19
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

7. Leveraging Influential Factors into Bayesian Knowledge Tracing

Palavra-chave:: Linear Regression, Intelligent Tutoring System, Student Model, and Bayesian Knowledge Tracing
O Criador:: Qiu, Yumeng
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2013-01-10
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

8. Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages

Palavra-chave:: parental notification, ASSISTments, and Intelligent Tutoring System
O Criador:: Broderick, Zachary R
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2011-03-01
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

9. Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems

Palavra-chave:: Assistment, Intelligent Tutoring System, Knowledge tracing, and gaming the system
O Criador:: Forbes-Summers, Elijah
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2010-05-03
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

10. Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment

Palavra-chave:: longitudinal modeling, assess fine grained knowledge, Intelligent Tutoring System, Data Mining, dynamic testing, and assessment
O Criador:: Feng, Mingyu
Advisor:: Heffernan, Neil
Editor:: Worcester Polytechnic Institute
Data Criada:: 2009-08-19
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

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1. Theory and Practice: Improving Retention Performance through Student Modeling and System Building

2. A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for A Hint

3. Tracing Knowledge and Engagement in Parallel by Observing Behavior in Intelligent Tutoring Systems

4. Modeling Student Retention in an Environment with Delayed Testing

5. Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?

6. An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System

7. Leveraging Influential Factors into Bayesian Knowledge Tracing

8. Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages

9. Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems

10. Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment

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1. Theory and Practice: Improving Retention Performance through Student Modeling and System Building

2. A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for A Hint

3. Tracing Knowledge and Engagement in Parallel by Observing Behavior in Intelligent Tutoring Systems

4. Modeling Student Retention in an Environment with Delayed Testing

5. Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?

6. An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System

7. Leveraging Influential Factors into Bayesian Knowledge Tracing

8. Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages

9. Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems

10. Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment

Filtre sua busca