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Joseph Beck
List of publications from the DBLP Bibliography Server - FAQ
| * | 2009 | |
|---|---|---|
| 41 | EE | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck: Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. AIED 2009: 523-530 |
| 2008 | ||
| 40 | 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 | |
| 39 | EE | 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 |
| 38 | EE | 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 |
| 37 | EE | 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 |
| 36 | EE | 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 |
| 35 | EE | 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 |
| 34 | EE | 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 |
| 33 | EE | 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 |
| 32 | EE | 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 |
| 2007 | ||
| 31 | Joseph E. Beck: Does Learner Control Affect Learning? AIED 2007: 135-142 | |
| 30 | Xiaonan Zhang, Jack Mostow, Joseph E. Beck: Can a Computer Listen for Fluctuations in Reading Comprehension? AIED 2007: 495-502 | |
| 29 | EE | Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934 |
| 28 | EE | Joseph E. Beck, Kai-min Chang: Identifiability: A Fundamental Problem of Student Modeling. User Modeling 2007: 137-146 |
| 2006 | ||
| 27 | EE | 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 |
| 26 | EE | Brooke Soden Hensler, Joseph Beck: Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure. Intelligent Tutoring Systems 2006: 21-30 |
| 25 | EE | 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 |
| 24 | EE | Cecily Heiner, Joseph E. Beck, Jack Mostow: Automated Vocabulary Instruction in a Reading Tutor. Intelligent Tutoring Systems 2006: 741-743 |
| 23 | EE | 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) |
| 2005 | ||
| 22 | Cecily Heiner, Joseph Beck, Jack Mostow: When do Students Interrupt Help? Effects of Time, Help Type, and Individual Differences. AIED 2005: 819-826 | |
| 21 | Joseph E. Beck: Engagement tracing: using response times to model student disengagement. AIED 2005: 88-95 | |
| 20 | 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 | |
| 19 | Sherman R. Alpert, Joseph E. Beck: Student Modeling for Language Tutors. AIED 2005: 997 | |
| 18 | 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, Holger Wache: The Workshops at the Twentieth National Conference on Artificial Intelligence. AI Magazine 26(4): 102-108 (2005) | |
| 2004 | ||
| 17 | EE | Joseph E. Beck, Jack Mostow, Juliet Bey: Can Automated Questions Scaffold Children's Reading Comprehension? Intelligent Tutoring Systems 2004: 478-490 |
| 16 | EE | Joseph E. Beck, June Sison: Using Knowledge Tracing to Measure Student Reading Proficiencies. Intelligent Tutoring Systems 2004: 624-634 |
| 15 | EE | 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 | ||
| 14 | EE | 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 |
| 13 | EE | Joseph E. Beck, Peng Jia, Jack Mostow: Assessing Student Proficiency in a Reading Tutor That Listens. User Modeling 2003: 323-327 |
| 2002 | ||
| 12 | EE | 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 |
| 11 | EE | 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 |
| 10 | EE | Joseph E. Beck: Directing Development Effort with Simulated Students. Intelligent Tutoring Systems 2002: 851-860 |
| 2001 | ||
| 9 | EE | Joseph E. Beck, Beverly Park Woolf: Using Rollouts to Induce a Policy from a User Model. User Modeling 2001: 210-212 |
| 2000 | ||
| 8 | Joseph Beck, Beverly Park Woolf, Carole R. Beal: ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction. AAAI/IAAI 2000: 552-557 | |
| 7 | Joseph E. Beck, Beverly Park Woolf: Reasoning from Data Rather than Theory. FLAIRS Conference 2000: 34-39 | |
| 6 | EE | 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 |
| 5 | EE | Joseph Beck, Beverly Park Woolf: High-Level Student Modeling with Machine Learning. Intelligent Tutoring Systems 2000: 584-593 |
| 4 | EE | Joseph Beck: W3 - Applying Machine Learning to ITS Design/Construction. Intelligent Tutoring Systems 2000: 664 |
| 1998 | ||
| 3 | Joseph Beck: Learning to Teach with a Reinforcement Learning Agent. AAAI/IAAI 1998: 1185 | |
| 2 | EE | Joseph E. Beck, Beverly Park Woolf: Using a Learning Agent with a Student Model. Intelligent Tutoring Systems 1998: 6-15 |
| 1996 | ||
| 1 | Mia Stern, Joseph Beck, Beverly Park Woolf: Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor. Intelligent Tutoring Systems 1996: 605-613 | |