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Joseph E. Beck

Joseph Beck

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affiliation: Carnegie Mellon University, Pittsburgh, USA

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2010 – today

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2017
[c87]
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May Marie P. Talandron, Ma. Mercedes T. Rodrigo, Joseph E. Beck:
Modeling the Incubation Effect Among Students Playing an Educational Game for Physics. AIED 2017: 371-380
[c86]
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Joseph Beck, Min Chi, Ryan S. Baker:
Workshop proposal: deep learning for educational data mining. EDM 2017
[c85]
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Thanaporn Patikorn, Douglas Selent, Neil T. Heffernan, Joseph Beck, Jian Zou:
Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. EDM 2017
[c84]
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Hao Wan, Joseph E. Beck:
One Decision Tree is Enough to Make Customization. L@S 2017: 193-196
2016
[c83]
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Xiaolu Xiong, Siyuan Zhao, Eric Van Inwegen, Joseph Beck:
Going Deeper with Deep Knowledge Tracing. EDM 2016: 545-550
[c82]
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Thelma D. Palaoag, Ma. Mercedes T. Rodrigo, Juan Miguel L. Andres, Juliana Ma. Alexandra L. Andres, Joseph E. Beck:
Wheel-Spinning in a Game-Based Learning Environment for Physics. ITS 2016: 234-239
[c81]
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Yan Wang, Korinn Ostrow, Joseph Beck, Neil T. Heffernan:
Enhancing the efficiency and reliability of group differentiation through partial credit. LAK 2016: 454-458
2015
[c80]
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Hao Wan, Joseph Beck:
Considering the Influence of Prerequisite Performance on Wheel Spinning. EDM 2015: 129-135
[c79]
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Yue Gong, Joseph E. Beck:
Towards Detecting Wheel-Spinning: Future Failure in Mastery Learning. L@S 2015: 67-74
2014
[j7]
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Ma. Mercedes T. Rodrigo, Joseph Beck:
Understanding Wheel Spinning in the Context of Affective Factors. IJPOP 3(2): 75-90 (2014)
[c78]
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Hao Wan, Carolina Ruiz, Joseph E. Beck:
A Novel Feature Generation Method for Sequence Classification - Mutated Subsequence Generation. BIOINFORMATICS 2014: 68-79
[c77]
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Junjie Gu, Hang Cai, Joseph E. Beck:
Investigate Performance of Expected Maximization on the Knowledge Tracing Model. Intelligent Tutoring Systems 2014: 156-161
[c76]
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Joseph Beck, Ma. Mercedes T. Rodrigo:
Understanding Wheel Spinning in the Context of Affective Factors. Intelligent Tutoring Systems 2014: 162-167
[c75]
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Xiaolu Xiong, Joseph E. Beck:
A Study of Exploring Different Schedules of Spacing and Retrieval Interval on Mathematics Skills in ITS Environment. Intelligent Tutoring Systems 2014: 504-509
2013
[c74]
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Yutao Wang, Joseph Beck:
Class vs. Student in a Bayesian Network Student Model. AIED 2013: 151-160
[c73]
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Joseph E. Beck, Yue Gong:
Wheel-Spinning: Students Who Fail to Master a Skill. AIED 2013: 431-440
[c72]
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Dovan Rai, Ivon Arroyo, Lynn Stephens, Cecil Lozano, Winslow Burleson, Beverly Park Woolf, Joseph E. Beck:
Repairing Deactivating Negative Emotions with Student Progress Pages. AIED 2013: 795-798
[c71]
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Xiaolu Xiong, Joseph E. Beck, Shoujing Li:
Class Distinctions: Leveraging Class-Level Features to Predict Student Retention Performance. AIED 2013: 820-823
[c70]
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Joseph Beck, Xiaolu Xiong:
Limits to accuracy: how well can we do at student modeling? EDM 2013: 4-11
[c69]
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Shoujing Li, Xiaolu Xiong, Joseph Beck:
Modeling student retention in an environment with delayed testing. EDM 2013: 328-329
[c68]
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Dovan Rai, Joseph Beck, Ivon Arroyo:
Causal Modeling to Understand the Relationship between Student Attitudes, Affect and Outcomes. EDM 2013: 344-345
[c67]
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Xiaolu Xiong, Shoujing Li, Joseph E. Beck:
Will You Get It Right Next Week: Predict Delayed Performance in Enhanced ITS Mastery Cycle. FLAIRS Conference 2013
2012
[j6]
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Dovan Rai, Joseph E. Beck:
Math Learning Environment with Game-Like Elements: An Experimental Framework. IJGBL 2(2): 90-110 (2012)
[c66]
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Halit Bener Suay, Joseph Beck, Sonia Chernova:
Using Causal Models for Learning from Demonstration. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012
[c65]
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Yutao Wang, Joseph Beck:
Incorporating Factors Influencing Knowledge Retention into a Student Model. EDM 2012: 201-203
[c64]
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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
[c63]
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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
[c62]
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Yue Gong, Joseph E. Beck, Carolina Ruiz:
Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy. UMAP 2012: 102-113
2011
[j5]
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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)
[c61]
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Dovan Rai, Joseph E. Beck:
Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements. AIED 2011: 528-530
[c60]
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Dovan Rai, Joseph E. Beck:
Monkey's Revenge: Coordinate Geometry Learning Environment with Game-Like Elements. AIED 2011: 624
[c59]
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Yue Gong, Joseph Beck:
Items, Skills, and Transfer Models: Which Really Matters for Student Modeling? EDM 2011: 81-90
[c58]
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Dovan Rai, Joseph Beck:
Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling. EDM 2011: 307-313
[c57]
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Yue Gong, Joseph E. Beck:
Looking Beyond Transfer Models: Finding Other Sources of Power for Student Models. UMAP 2011: 135-146
2010
[c56]
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Yue Gong, Joseph E. Beck, Neil T. Heffernan:
Using multiple Dirichlet distributions to improve parameter plausibility. EDM 2010: 61-70
[c55]
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Matthew Bachmann, Janice D. Gobert, Joseph Beck:
Tracking Students' Inquiry Paths through Student Transition Analysis. EDM 2010: 269-270
[c54]
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Dovan Rai, Joseph E. Beck:
Analysis of a causal modeling approach: a case study with an educational intervention. EDM 2010: 313-314
[c53]
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Yutao Wang, Neil T. Heffernan, Joseph E. Beck:
Representing Student Performance with Partial Credit. EDM 2010: 335-336
[c52]
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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
[c51]
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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
[c50]
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Dovan Rai, Joseph E. Beck, Neil T. Heffernan:
Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 254-256
[c49]
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Stephen Giguere, Joseph E. Beck, Ryan Shaun Joazeiro de Baker:
Analyzing Student Gaming with Bayesian Networks. Intelligent Tutoring Systems (2) 2010: 321-323
[c48]
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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
[c47]
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Dovan Rai, Joseph E. Beck, Neil T. Heffernan:
A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 439

2000 – 2009

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2009
[c46]
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Mingyu Feng, Neil T. Heffernan, Joseph E. Beck:
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. AIED 2009: 523-530
[c45]
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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
[c44]
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Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan:
Does Self-Discipline impact students' knowledge and learning?. EDM 2009: 61-70
[c43]
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Dovan Rai, Yue Gong, Joseph Beck:
Using Dirichlet priors to improve model parameter plausibility. EDM 2009: 141-150
[c42]
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Ming Feng, Joseph Beck:
Back to the future: a non-automated method for constructing transfer models. EDM 2009: 240-249
[c41]
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Jack Mostow, Joseph Beck:
Why, What, and How to Log? Lessons from LISTEN. EDM 2009: 269-278
2008
[c40]
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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
[c39]
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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
[c38]
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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
[c37]
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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
[c36]
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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
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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
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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
[c33]
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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
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Ryan Shaun Joazeiro de Baker, Tiffany Barnes, Joseph E. Beck:
Educational Data Mining 2008, The 1st International Conference on Educational Data Mining, Montreal, Québec, Canada, June 20-21, 2008. Proceedings. www.educationaldatamining.org 2008 [contents]
2007
[c32]
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Joseph E. Beck:
Does Learner Control Affect Learning? AIED 2007: 135-142
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Xiaonan Zhang, Jack Mostow, Joseph E. Beck:
Can a Computer Listen for Fluctuations in Reading Comprehension? AIED 2007: 495-502
[c30]
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Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola:
Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934
[c29]
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Joseph E. Beck, Kai-min Chang:
Identifiability: A Fundamental Problem of Student Modeling. User Modeling 2007: 137-146
2006
[j4]
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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)
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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 J. Young, Dmitry Zelenko:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Magazine 27(4): 92-102 (2006)
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Jack Mostow, Joseph Beck:
Some useful tactics to modify, map and mine data from intelligent tutors. Natural Language Engineering 12(2): 195-208 (2006)
[c28]
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Brooke Soden Hensler, Joseph Beck:
Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure. Intelligent Tutoring Systems 2006: 21-30
[c27]
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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
[c26]
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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
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Cecily Heiner, Joseph E. Beck, Jack Mostow:
Automated Vocabulary Instruction in a Reading Tutor. Intelligent Tutoring Systems 2006: 741-743
2005
[j1]
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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)
[c24]
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Joseph E. Beck:
Engagement tracing: using response times to model student disengagement. AIED 2005: 88-95
[c23]
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Cecily Heiner, Joseph Beck, Jack Mostow:
When do Students Interrupt Help? Effects of Time, Help Type, and Individual Differences. AIED 2005: 819-826
[c22]
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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
[c21]
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Sherman R. Alpert, Joseph E. Beck:
Student Modeling for Language Tutors. AIED 2005: 997
2004
[c20]
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Joseph E. Beck, Jack Mostow, Juliet Bey:
Can Automated Questions Scaffold Children's Reading Comprehension? Intelligent Tutoring Systems 2004: 478-490
[c19]
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Joseph E. Beck, June Sison:
Using Knowledge Tracing to Measure Student Reading Proficiencies. Intelligent Tutoring Systems 2004: 624-634
[c18]
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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
2003
[c17]
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Satanjeev Banerjee, Joseph E. Beck, Jack Mostow:
Evaluating the effect of predicting oral reading miscues. INTERSPEECH 2003
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Yik-Cheung Tam, Jack Mostow, Joseph E. Beck, Satanjeev Banerjee:
Training a confidence measure for a reading tutor that listens. INTERSPEECH 2003
[c15]
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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
[c14]
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Joseph E. Beck, Peng Jia, Jack Mostow:
Assessing Student Proficiency in a Reading Tutor That Listens. User Modeling 2003: 323-327
2002
[c13]
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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
[c12]
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Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, Brian Tobin:
Predicting oral reading miscues. INTERSPEECH 2002
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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
[c10]
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Joseph E. Beck:
Directing Development Effort with Simulated Students. Intelligent Tutoring Systems 2002: 851-860
2001
[c9]
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Joseph E. Beck, Beverly Park Woolf:
Using Rollouts to Induce a Policy from a User Model. User Modeling 2001: 210-212
2000
[c8]
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Joseph Beck, Beverly Park Woolf, Carole R. Beal:
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction. AAAI/IAAI 2000: 552-557
[c7]
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Joseph E. Beck, Beverly Park Woolf:
Reasoning from Data Rather than Theory. FLAIRS Conference 2000: 34-39
[c6]
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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
[c5]
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Joseph Beck, Beverly Park Woolf:
High-Level Student Modeling with Machine Learning. Intelligent Tutoring Systems 2000: 584-593
[c4]
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Joseph Beck:
W3 - Applying Machine Learning to ITS Design/Construction. Intelligent Tutoring Systems 2000: 664

1990 – 1999

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What is the meaning of the colors in the publication lists?

1998
[c3]
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Joseph Beck:
Learning to Teach with a Reinforcement Learning Agent. AAAI/IAAI 1998: 1185
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Joseph E. Beck, Beverly Park Woolf:
Using a Learning Agent with a Student Model. Intelligent Tutoring Systems 1998: 6-15
1996
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Mia Stern, Joseph Beck, Beverly Park Woolf:
Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor. Intelligent Tutoring Systems 1996: 605-613

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