Joseph E. Beck

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Items, Skills, and Transfer Models: Which Really Matters for Student Modeling?

Yue Gong, Joseph E. Beck, 2011, EDM.

Bringing back the AI to AI & ED

Joseph E. Beck, Mia Stern, J. Beck, 2001 .

Enhancing the efficiency and reliability of group differentiation through partial credit

Neil T. Heffernan, Yan Wang, Joseph E. Beck, 2016, LAK.

Gaining Confidence in Mathematics: Instructional Technology for Girls

Joseph E. Beck, Beverly Park Woolf, Ivon Arroyo, 2000 .

Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07)

Toon Calders, Mykola Pechenizkiy, Joseph E. Beck, 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

Back to the future: a non-automated method for constructing transfer models

Joseph E. Beck, Ming Feng, 2009, EDM.

Some useful tactics to modify, map and mine data from intelligent tutors

Jack Mostow, Joseph E. Beck, J. Beck, 2006, Natural Language Engineering.

A Generic Tool to Browse Tutor-Student Interactions: Time Will Tell!

Jack Mostow, Joseph E. Beck, Andrew Cuneo, 2005, AIED.

Macroadapting Animalwatch to Gender and Cognitive Differnces with Respect to Hint Interactivity and Symbolism

Joseph E. Beck, Beverly Park Woolf, Ivon Arroyo, 2000, Intelligent Tutoring Systems.

Using a Learning Agent with a Student Model

Joseph E. Beck, Beverly Park Woolf, J. Beck, 1998, Intelligent Tutoring Systems.

WhaleWatch: An Intelligent Multimedia Math Tutor

Joseph E. Beck, Beverly Park Woolf, Ivon Arroyo, 1999 .

Using Automated Questions to Assess Reading Comprehension, Vocabulary, and Effects of Tutorial Interventions

Jack Mostow, Joseph E. Beck, Andrew Cuneo, 2004 .

Directing Development Effort with Simulated Students

Joseph E. Beck, 2002, Intelligent Tutoring Systems.

Predicting oral reading miscues

Jack Mostow, Joseph E. Beck, Shaojun Wang, 2002, INTERSPEECH.

A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems

Albert T. Corbett, Jack Mostow, Joseph E. Beck, 2006, Intelligent Tutoring Systems.

Improving the Help Selection Policy in a Reading Tutor that Listens

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2004 .

Evaluating the effect of predicting oral reading miscues

Satanjeev Banerjee, Jack Mostow, Joseph E. Beck, 2003, INTERSPEECH.

Using multiple Dirichlet distributions to improve parameter plausibility

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2010, EDM.

How Who Should Practice: Using Learning Decomposition to Evaluate the Efficacy of Different Types of Practice for Different Types of Students

Jack Mostow, Joseph E. Beck, J. Beck, 2008, Intelligent Tutoring Systems.

Naive Bayes Classifiers for User Modeling

Joseph E. Beck, Mia Stern, Beverly Park Woolf, 1999 .

Limits to accuracy: how well can we do at student modeling?

Joseph E. Beck, Xiaolu Xiong, 2013, EDM.

WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2012, ITS.

Going Deeper with Deep Knowledge Tracing

Joseph E. Beck, Xiaolu Xiong, Eric Van Inwegen, 2016, EDM.

Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties

Neil T. Heffernan, Joseph E. Beck, Dovan Rai, 2010, Intelligent Tutoring Systems.

Using learning decomposition to analyze student fluency development

Joseph E. Beck, J. Beck, 2005 .

Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System

Neil T. Heffernan, Joseph E. Beck, Jozsef Patvarczki, 2008, Intelligent Tutoring Systems.

Understanding Wheel Spinning in the Context of Affective Factors

Joseph E. Beck, Ma. Mercedes T. Rodrigo, 2014, Intelligent Tutoring Systems.

Wheel-Spinning: Students Who Fail to Master a Skill

Yue Gong, Joseph E. Beck, J. Beck, 2013, AIED.

Interactive Demonstration of a Generic Tool to Browse Tutor-Student Interactions

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2005 .

Math Learning Environment with Game-Like Elements: An Incremental Approach for Enhancing Student Engagement and Learning Effectiveness

Joseph E. Beck, Dovan Rai, 2012, ITS.

ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction

Joseph E. Beck, Beverly Park Woolf, Carole R. Beal, 2000, AAAI/IAAI.

Learning to Teach with a Reinforcement Learning Agent

Joseph E. Beck, 1998, AAAI/IAAI.

Automatic Extraction of Highly Predictive Sequence Features that Incorporate Contiguity and Mutation

Carolina Ruiz, Joseph E. Beck, Hao Wan, 2014, BIOSTEC.

Does Self-Discipline impact students' knowledge and learning?

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2009, EDM.

Automated Vocabulary Instruction in a Reading Tutor

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2006, Intelligent Tutoring Systems.

Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology

Albert T. Corbett, Jack Mostow, Joseph E. Beck, 2008, Intelligent Tutoring Systems.

Using Dirichlet priors to improve model parameter plausibility

Yue Gong, Joseph E. Beck, Dovan Rai, 2009, EDM.

The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS

Carolina Ruiz, Zachary A. Pardos, Neil T. Heffernan, 2008, EDM.

Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor

Joseph E. Beck, Mia Stern, Beverly Park Woolf, 1996, Intelligent Tutoring Systems.

A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors

Jack Mostow, Joseph E. Beck, Xiaonan Zhang, 2008, Intelligent Tutoring Systems.

Using the Student Model to Control Problem Difficulty

Joseph E. Beck, Mia Stern, Beverly Park Woolf, 1997 .

Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?

Yu Guo, Neil T. Heffernan, Joseph E. Beck, 2008, Intelligent Tutoring Systems.

Can Automated Emotional Scaffolding Affect Student Persistence? A Baseline Experiment

Jack Mostow, Joseph E. Beck, J. Beck, 2003 .

Lessons from Project LISTEN’s Session Browser

Jack Mostow, Joseph E. Beck, Andrew Cuneo, 2009 .

Modeling the Incubation Effect Among Students Playing an Educational Game for Physics

Joseph E. Beck, Ma. Mercedes T. Rodrigo, May Marie P. Talandron, 2017, AIED.

Reasoning from Data Rather than Theory

Joseph E. Beck, Beverly Park Woolf, 2000, FLAIRS Conference.

Identifiability: A Fundamental Problem of Student Modeling

Joseph E. Beck, Kai-min Chang, K. Chang, 2007, User Modeling.

Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure

Joseph E. Beck, Brooke Soden Hensler, J. Beck, 2006, Intelligent Tutoring Systems.

Automatically Assessing Oral Reading Fluency in a Computer Tutor that Listens

Jack Mostow, Joseph E. Beck, Peng Jia, 2004 .

Wheel-Spinning in a Game-Based Learning Environment for Physics

Joseph E. Beck, Ma. Mercedes T. Rodrigo, Thelma D. Palaoag, 2016, ITS.

Tracking Students' Inquiry Paths through Student Transition Analysis

Joseph E. Beck, Janice D. Gobert, Matthew Bachmann, 2010, EDM.

Class vs. Student in a Bayesian Network Student Model

Yutao Wang, Joseph E. Beck, J. Beck, 2013, AIED.

Assessing Student Proficiency in a Reading Tutor That Listens

Jack Mostow, Joseph E. Beck, Peng Jia, 2003, User Modeling.

Towards Detecting Wheel-Spinning: Future Failure in Mastery Learning

Yue Gong, Joseph E. Beck, J. Beck, 2015, L@S.

Student Modeling for Language Tutors

Joseph E. Beck, Sherman R. Alpert, 2005, AIED.

Understanding Wheel Spinning in the Context of Affective Factors

Joseph E. Beck, Ma. Mercedes T. Rodrigo, 2014, Int. J. People Oriented Program..

High-Level Student Modeling with Machine Learning

Joseph E. Beck, Beverly Park Woolf, J. Beck, 2000, Intelligent Tutoring Systems.

Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements

Joseph E. Beck, Dovan Rai, 2011, AIED.

Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects

Neil T. Heffernan, Joseph E. Beck, Douglas Selent, 2017, EDM.

Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes

Judy Kay, Ryan Shaun Joazeiro de Baker, Albert T. Corbett, 2004, Intelligent Tutoring Systems.

Incorporating Factors Influencing Knowledge Retention into a Student Model

Yutao Wang, Joseph E. Beck, 2012, EDM.

Lessons on Using ITS Data to Answer Educational Research Questions

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2004 .

A Novel Feature Generation Method for Sequence Classification - Mutated Subsequence Generation

Carolina Ruiz, Joseph E. Beck, Hao Wan, 2014, BIOINFORMATICS.

Modeling multiple distributions of student performances to improve predictive accuracy

Carolina Ruiz, Yue Gong, Joseph E. Beck, 2012, UMAP.

Representing Student Performance with Partial Credit

Neil T. Heffernan, Yutao Wang, Joseph E. Beck, 2010, EDM.

When do Students Interrupt Help? Effects of Time, Help Type, and Individual Differences

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2005, AIED.

A Coordinate Geometry Learning Environment with Game-Like Properties

Neil T. Heffernan, Joseph E. Beck, Dovan Rai, 2010, Intelligent Tutoring Systems.

AnimalWatch: An intelligent computer tutor for Elementary School Mathematics

Joseph E. Beck, Beverly Park Woolf, Ivon Arroyo, 2001 .

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program

Hugo Liu, Amit P. Sheth, Christopher W. Geib, 2006, AI Mag..

Predicting Student Help-Request Behavior in an Intelligent Tutor for Reading

Jack Mostow, Joseph E. Beck, Peng Jia, 2003, User Modeling.

How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2011, Int. J. Artif. Intell. Educ..

W3 - Applying Machine Learning to ITS Design/Construction

Joseph E. Beck, 2000, Intelligent Tutoring Systems.

A La Recherche du Temps Perdu, or As Time Goes By: Where Does the Time Go in a Reading Tutor That Listens?

Jack Mostow, Joseph E. Beck, Gregory Aist, 2002, Intelligent Tutoring Systems.

Does Learner Control Affect Learning?

Joseph E. Beck, J. Beck, 2007, AIED.

Using Student Modeling to Estimate Student Knowledge Retention.

Yutao Wang, Joseph E. Beck, 2012, EDM 2012.

Will You Get It Right Next Week: Predict Delayed Performance in Enhanced ITS Mastery Cycle

Joseph E. Beck, Xiaolu Xiong, Shoujing Li, 2013, FLAIRS Conference.

Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning

Neil T. Heffernan, Joseph E. Beck, Mingyu Feng, 2009, EDM.

Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2010, Intelligent Tutoring Systems.

Adapting to When Students Game an Intelligent Tutoring System

Ryan Shaun Joazeiro de Baker, Ido Roll, Albert T. Corbett, 2006, Intelligent Tutoring Systems.

One Decision Tree is Enough to Make Customization

Joseph E. Beck, Hao Wan, J. Beck, 2017, L@S.

Analyzing Student Gaming with Bayesian Networks

Ryan Shaun Joazeiro de Baker, Joseph E. Beck, Stephen Giguere, 2010, Intelligent Tutoring Systems.

Coordinate Geometry Learning Environment with Game-Like Properties

Neil T. Heffernan, Joseph E. Beck, Dovan Rai, 2010, Intelligent Tutoring Systems.

Analysis of a causal modeling approach: a case study with an educational intervention

Joseph E. Beck, Dovan Rai, 2010, EDM.

Training a confidence measure for a reading tutor that listens

Satanjeev Banerjee, Jack Mostow, Joseph E. Beck, 2003, INTERSPEECH.

Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System

Neil T. Heffernan, Joseph E. Beck, Mingyu Feng, 2009, AIED.

Can a Reading Tutor that Listens use Inter-word Latency to Assess a Student's Reading Ability?

Jack Mostow, Joseph E. Beck, Peng Jia, 2002 .

Considering the Influence of Prerequisite Performance on Wheel Spinning

Joseph E. Beck, Hao Wan, J. Beck, 2015, EDM.

The Workshops at the Twentieth National Conference on Artificial Intelligence

Gökhan Tür, Dilek Z. Hakkani-Tür, Mark S. Boddy, 2005, AI Mag..

Math Learning Environment with Game-Like Elements: An Experimental Framework

Joseph E. Beck, Dovan Rai, J. Beck, 2012, Int. J. Game Based Learn..

Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning

Joseph E. Beck, Thanaporn Patikorn, Seth Adjei, 2019, IEEE Transactions on Learning Technologies.

Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling

Joseph E. Beck, Dovan Rai, 2011, EDM.

Computer-Guided Oral Reading versus Independent Practice: Comparison of Sustained Silent Reading to an Automated Reading Tutor That Listens

Jack Mostow, Joseph E. Beck, Jessica Nelson-Taylor, 2013 .

Can we predict which groups of questions students will learn from?

Neil T. Heffernan, Kenneth R. Koedinger, Joseph E. Beck, 2008, EDM.

Methods and Outcomes of the NSF Project on Synthesizing Environments for Digitally-Mediated Team Learning

Richard Hartshorne, Eloy Hernandez, Tian Tian, 2019 .

Class Distinctions: Leveraging Class-Level Features to Predict Student Retention Performance

Joseph E. Beck, Xiaolu Xiong, Shoujing Li, 2013, AIED.

Can Automated Questions Scaffold Children's Reading Comprehension?

Jack Mostow, Joseph E. Beck, Juliet Bey, 2004, Intelligent Tutoring Systems.

Repairing Deactivating Negative Emotions with Student Progress Pages

Joseph E. Beck, Beverly Park Woolf, Winslow Burleson, 2013, AIED.

Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?

Neil T. Heffernan, Kenneth R. Koedinger, Joseph E. Beck, 2008, EDM.

Can a Computer Listen for Fluctuations in Reading Comprehension?

Jack Mostow, Joseph E. Beck, Xiaonan Zhang, 2007, AIED.

Engagement tracing: using response times to model student disengagement

Joseph E. Beck, J. Beck, 2005, AIED.

Learning within the ZPD with the AnimalWatch intelligent tutoring system

Joseph E. Beck, Beverly Park Woolf, Ivon Arroyo, 2003 .

Educational Data Mining 2008, The 1st International Conference on Educational Data Mining, Montreal, Québec, Canada, June 20-21, 2008. Proceedings

Tiffany Barnes, Joseph E. Beck, Ryan S. Baker, 2008, EDM.

Using Knowledge Tracing to Measure Student Reading Proficiencies

Joseph E. Beck, June Sison, J. Beck, 2004, Intelligent Tutoring Systems.

Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies

Joseph E. Beck, June Sison, J. Beck, 2006, Int. J. Artif. Intell. Educ..

Workshop proposal: deep learning for educational data mining

Ryan Shaun Joazeiro de Baker, Joseph E. Beck, Min Chi, 2017, EDM.

The Fine-Grained Impact of Gaming (?) on Learning

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2010, Intelligent Tutoring Systems.

Monkey's Revenge: Coordinate Geometry Learning Environment with Game-Like Elements

Joseph E. Beck, Dovan Rai, 2011, AIED.

Causal Modeling to Understand the Relationship between Student Attitudes, Affect and Outcomes

Joseph E. Beck, Dovan Rai, Ivon Arroyo, 2013, EDM.

A Study of Exploring Different Schedules of Spacing and Retrieval Interval on Mathematics Skills in ITS Environment

Joseph E. Beck, Xiaolu Xiong, 2014, Intelligent Tutoring Systems.

Investigate Performance of Expected Maximization on the Knowledge Tracing Model

Joseph E. Beck, Hang Cai, Junjie Gu, 2014, Intelligent Tutoring Systems.

Modeling student retention in an environment with delayed testing

Joseph E. Beck, Xiaolu Xiong, Shoujing Li, 2013, EDM.

Why, What, and How to Log? Lessons from LISTEN

Jack Mostow, Joseph E. Beck, J. Beck, 2009, EDM.

Looking beyond transfer models: finding other sources of power for student models

Yue Gong, Joseph E. Beck, 2011, UMAP'11.

Viewing and analyzing multimodal human-computer tutorial dialogue: a database approach

Jack Mostow, Joseph E. Beck, Andrew Cuneo, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

Using Causal Models for Learning from Demonstration

Sonia Chernova, Joseph E. Beck, Halit Bener Suay, 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.

Using Rollouts to Induce a Policy from a User Model

Joseph E. Beck, Beverly Park Woolf, 2001, User Modeling.

Feature Discovery in the Context of Bayes Nets : An Inductive Approach

Richard Scheines, Joseph E. Beck, Andrew Arnold, 2005 .

Piagetian Psychology in Intelligent Tutoring Systems

Joseph E. Beck, Beverly Park Woolf, Ivon Arroyo, 2009 .

Assessment and Learning in Intelligent Educational Systems: A Peek into the Future

Joseph E. Beck, Valerie J. Shute, Roy Levy, 2009 .

WEBsistments : Enabling an Intelligent Tutoring System to Excel at Explaining Teaching Other Than Coaching

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2012 .

Using a student model to improve a computer tutor ’ s speech recognition

Jack Mostow, Joseph E. Beck, Kai-min Chang, 2005 .

Growth and maturity of intelligent tutoring systems: a status report

Joseph E. Beck, Mia Stern, Beverly Park Woolf, 2001 .

The impact of gaming ( ? ) on learning at the fine-grained level

Neil T. Heffernan, Yue Gong, Joseph E. Beck, 2010 .