Joseph E. Beck

Dovan Rai, Joseph E. Beck: Math Learning Environment with Game-Like Elements: An Experimental Framework. IJGBL 2(2): 90-110 (2012)

Yutao Wang, Joseph Beck: Incorporating Factors Influencing Knowledge Retention into a Student Model. EDM 2012: 201-203

Dovan Rai, Joseph E. Beck: Math Learning Environment with Game-Like Elements: An Incremental Approach for Enhancing Student Engagement and Learning Effectiveness. ITS 2012: 90-100

Yue Gong, Joseph E. Beck, Neil T. Heffernan: WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching. ITS 2012: 268-273

Yue Gong, Joseph E. Beck, Carolina Ruiz: Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy. UMAP 2012: 102-113

Yue Gong, Joseph E. Beck, Neil T. Heffernan: How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis. I. J. Artificial Intelligence in Education 21(1-2): 27-46 (2011)

Dovan Rai, Joseph E. Beck: Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements. AIED 2011: 528-530

Dovan Rai, Joseph E. Beck: Monkey's Revenge: Coordinate Geometry Learning Environment with Game-Like Elements. AIED 2011: 624

Yue Gong, Joseph Beck: Items, Skills, and Transfer Models: Which Really Matters for Student Modeling? EDM 2011: 81-90

Dovan Rai, Joseph Beck: Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling. EDM 2011: 307-313

Yue Gong, Joseph E. Beck: Looking Beyond Transfer Models: Finding Other Sources of Power for Student Models. UMAP 2011: 135-146

Yue Gong, Joseph E. Beck, Neil T. Heffernan: Using multiple Dirichlet distributions to improve parameter plausibility. EDM 2010: 61-70

Matt Bachmann, Janice Gobert, Joseph Beck: Tracking Students' Inquiry Paths through Student Transition Analysis. EDM 2010: 269-270

Dovan Rai, Joseph E. Beck: Analysis of a causal modeling approach: a case study with an educational intervention. EDM 2010: 313-314

Yutao Wang, Neil T. Heffernan, Joseph E. Beck: Representing Student Performance with Partial Credit. EDM 2010: 335-336

Yue Gong, Joseph E. Beck, Neil T. Heffernan: Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures. Intelligent Tutoring Systems (1) 2010: 35-44

Yue Gong, Joseph E. Beck, Neil T. Heffernan, Elijah Forbes-Summers: The Fine-Grained Impact of Gaming (?) on Learning. Intelligent Tutoring Systems (1) 2010: 194-203

Dovan Rai, Joseph E. Beck, Neil T. Heffernan: Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 254-256

Stephen Giguere, Joseph E. Beck, Ryan Shaun Joazeiro de Baker: Analyzing Student Gaming with Bayesian Networks. Intelligent Tutoring Systems (2) 2010: 321-323

Dovan Rai, Joseph E. Beck, Neil T. Heffernan: Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 399-401

Dovan Rai, Joseph E. Beck, Neil T. Heffernan: A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 439

Mingyu Feng, Neil T. Heffernan, Joseph E. Beck: Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. AIED 2009: 523-530

Mingyu Feng, Joseph Beck, Neil T. Heffernan: Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. EDM 2009: 51-60

Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan: Does Self-Discipline impact students' knowledge and learning?. EDM 2009: 61-70

Dovan Rai, Yue Gong, Joseph Beck: Using Dirichlet priors to improve model parameter plausibility. EDM 2009: 141-150

Ming Feng, Joseph Beck: Back to the future: a non-automated method for constructing transfer models. EDM 2009: 240-249

Jack Mostow, Joseph Beck: Why, What, and How to Log? Lessons from LISTEN. EDM 2009: 269-278

Mingyu Feng, Joseph E. Beck, Neil T. Heffernan, Kenneth R. Koedinger: Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. EDM 2008: 107-116

Zachary A. Pardos, Neil T. Heffernan, Carolina Ruiz, Joseph E. Beck: The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. EDM 2008: 147-156

Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger: Can we predict which groups of questions students will learn from?. EDM 2008: 218-225

Xiaonan Zhang, Jack Mostow, Joseph E. Beck: A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors. Intelligent Tutoring Systems 2008: 122-131

Joseph E. Beck, Jack Mostow: How Who Should Practice: Using Learning Decomposition to Evaluate the Efficacy of Different Types of Practice for Different Types of Students. Intelligent Tutoring Systems 2008: 353-362

Joseph E. Beck, Kai-min Chang, Jack Mostow, Albert T. Corbett: Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology. Intelligent Tutoring Systems 2008: 383-394

Jozsef Patvarczki, Shane F. Almeida, Joseph E. Beck, Neil T. Heffernan: Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System. Intelligent Tutoring Systems 2008: 766-770

Yu Guo, Joseph E. Beck, Neil T. Heffernan: Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?. Intelligent Tutoring Systems 2008: 774-778

Ryan Shaun Joazeiro de Baker, Tiffany Barnes, Joseph E. Beck (Eds.): Educational Data Mining 2008, The 1st International Conference on Educational Data Mining, Montreal, Québec, Canada, June 20-21, 2008. Proceedings. www.educationaldatamining.org 2008

Joseph E. Beck: Does Learner Control Affect Learning? AIED 2007: 135-142

Xiaonan Zhang, Jack Mostow, Joseph E. Beck: Can a Computer Listen for Fluctuations in Reading Comprehension? AIED 2007: 495-502

Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934

Joseph E. Beck, Kai-min Chang: Identifiability: A Fundamental Problem of Student Modeling. User Modeling 2007: 137-146

Joseph E. Beck, June Sison: Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies. I. J. Artificial Intelligence in Education 16(2): 129-143 (2006)

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve Young, Dmitry Zelenko: Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Magazine 27(4): 92-102 (2006)

Jack Mostow, Joseph Beck: Some useful tactics to modify, map and mine data from intelligent tutors. Natural Language Engineering 12(2): 195-208 (2006)

Brooke Soden Hensler, Joseph Beck: Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure. Intelligent Tutoring Systems 2006: 21-30

Kai-min Chang, Joseph E. Beck, Jack Mostow, Albert T. Corbett: A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2006: 104-113

Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Shelley Evenson, Ido Roll, Angela Z. Wagner, Meghan Naim, Jay Raspat, Daniel J. Baker, Joseph E. Beck: Adapting to When Students Game an Intelligent Tutoring System. Intelligent Tutoring Systems 2006: 392-401

Cecily Heiner, Joseph E. Beck, Jack Mostow: Automated Vocabulary Instruction in a Reading Tutor. Intelligent Tutoring Systems 2006: 741-743

Diego Mollá Aliod, Eduardo Alonso, Srinivas Bangalore, Joseph E. Beck, Bir Bhanu, Jim Blythe, Mark S. Boddy, Amedeo Cesta, Marko Grobelnik, Dilek Z. Hakkani-Tür, Sanda M. Harabagiu, Alain Léger, Deborah L. McGuinness, Stacy Marsella, Natasa Milic-Frayling, Dunja Mladenic, Daniel Oblinger, Paul E. Rybski, Pavel Shvaiko, Stephen F. Smith, Biplav Srivastava, Sheila Tejada, Hannes Högni Vilhjálmsson, Kristinn R. Thórisson, Gökhan Tür, José Luis Vicedo González, Holger Wache: The Workshops at the Twentieth National Conference on Artificial Intelligence. AI Magazine 26(4): 102-108 (2005)

Joseph E. Beck: Engagement tracing: using response times to model student disengagement. AIED 2005: 88-95

Cecily Heiner, Joseph Beck, Jack Mostow: When do Students Interrupt Help? Effects of Time, Help Type, and Individual Differences. AIED 2005: 819-826

Jack Mostow, Joseph Beck, Andrew Cuneo, Evandro Gouvea, Cecily Heiner: A Generic Tool to Browse Tutor-Student Interactions: Time Will Tell! AIED 2005: 884-886

Sherman R. Alpert, Joseph E. Beck: Student Modeling for Language Tutors. AIED 2005: 997

Joseph E. Beck, Jack Mostow, Juliet Bey: Can Automated Questions Scaffold Children's Reading Comprehension? Intelligent Tutoring Systems 2004: 478-490

Joseph E. Beck, June Sison: Using Knowledge Tracing to Measure Student Reading Proficiencies. Intelligent Tutoring Systems 2004: 624-634

Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steve Ritter: Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. Intelligent Tutoring Systems 2004: 909

Satanjeev Banerjee, Joseph E. Beck, Jack Mostow: Evaluating the effect of predicting oral reading miscues. INTERSPEECH 2003

Yik-Cheung Tam, Jack Mostow, Joseph E. Beck, Satanjeev Banerjee: Training a confidence measure for a reading tutor that listens. INTERSPEECH 2003

Joseph E. Beck, Peng Jia, June Sison, Jack Mostow: Predicting Student Help-Request Behavior in an Intelligent Tutor for Reading. User Modeling 2003: 303-312

Joseph E. Beck, Peng Jia, Jack Mostow: Assessing Student Proficiency in a Reading Tutor That Listens. User Modeling 2003: 323-327

Jack Mostow, Joseph E. Beck, Raghu Chalasani, Andrew Cuneo, Peng Jia: Viewing and Analyzing Multimodal Human-computer Tutorial Dialogue: A Database Approach. ICMI 2002: 129-134

Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, Brian Tobin: Predicting oral reading miscues. INTERSPEECH 2002

Jack Mostow, Gregory Aist, Joseph E. Beck, Raghuvee Chalasani, Andrew Cuneo, Peng Jia, Krishna Kadaru: A La Recherche du Temps Perdu, or As Time Goes By: Where Does the Time Go in a Reading Tutor That Listens? Intelligent Tutoring Systems 2002: 320-329

Joseph E. Beck: Directing Development Effort with Simulated Students. Intelligent Tutoring Systems 2002: 851-860

Joseph E. Beck, Beverly Park Woolf: Using Rollouts to Induce a Policy from a User Model. User Modeling 2001: 210-212

Joseph Beck, Beverly Park Woolf, Carole R. Beal: ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction. AAAI/IAAI 2000: 552-557

Joseph E. Beck, Beverly Park Woolf: Reasoning from Data Rather than Theory. FLAIRS Conference 2000: 34-39

Ivon Arroyo, Joseph Beck, Beverly Park Woolf, Carole R. Beal, Klaus Schultz: Macroadapting Animalwatch to Gender and Cognitive Differnces with Respect to Hint Interactivity and Symbolism. Intelligent Tutoring Systems 2000: 574-583

Joseph Beck, Beverly Park Woolf: High-Level Student Modeling with Machine Learning. Intelligent Tutoring Systems 2000: 584-593

Joseph Beck: W3 - Applying Machine Learning to ITS Design/Construction. Intelligent Tutoring Systems 2000: 664

Joseph Beck: Learning to Teach with a Reinforcement Learning Agent. AAAI/IAAI 1998: 1185

Joseph E. Beck, Beverly Park Woolf: Using a Learning Agent with a Student Model. Intelligent Tutoring Systems 1998: 6-15

Mia Stern, Joseph Beck, Beverly Park Woolf: Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor. Intelligent Tutoring Systems 1996: 605-613