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ORCIDKenneth R. Koedinger
Ken Koedinger
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- affiliation: Carnegie Mellon University
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2020 – today
- 2022
[j45]Christopher J. MacLellan
, Kenneth R. Koedinger:
Domain-General Tutor Authoring with Apprentice Learner Models. Int. J. Artif. Intell. Educ. 32(1): 76-117 (2022)- [j44]Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Maria Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt, Kenneth R. Koedinger:
Ethics of AI in Education: Towards a Community-Wide Framework. Int. J. Artif. Intell. Educ. 32(3): 504-526 (2022) - [j43]Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister:
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [j42]Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister:
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [c241]Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer:
Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. AIED (1) 2022: 140-152 - [c240]Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger:
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation. AIED (1) 2022: 366-377 - [c239]Thiemo Wambsganss, Matthias Söllner, Kenneth R. Koedinger, Jan Marco Leimeister:
Adaptive Empathy Learning Support in Peer Review Scenarios. CHI 2022: 227:1-227:17 - [c238]Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger:
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. L@S 2022: 469-471 - 2021
- [j41]Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn P. Rosé, Justin Reich:
Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 51:1-51:27 (2021) - [c237]Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger:
Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. AIED (2) 2021: 308-313 - [c236]Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
Toward Stable Asymptotic Learning with Simulated Learners. AIED (2) 2021: 390-394 - [c235]Xu Wang, Carolyn P. Rosé, Ken Koedinger:
Seeing Beyond Expert Blind Spots: Online Learning Design for Scale and Quality. CHI 2021: 51:1-51:14 - [c234]Judith Odili Uchidiuno, Jessica Hammer, Ken Koedinger, Amy Ogan:
Fostering Equitable Help-Seeking for K-3 Students in Low Income and Rural Contexts. CHI 2021: 684:1-684:14 - [c233]Judith Uchidiuno, Ken Koedinger, Amy Ogan:
Teacher Perspectives on Peer-Peer Collaboration and Education Technologies in Rural Tanzanian Classrooms. COMPASS 2021: 14-26 - [c232]Napol Rachatasumrit, Kenneth R. Koedinger:
Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice. EDM 2021 - [c231]Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. LAK 2021: 161-172 - [i2]Daniel Weitekamp III, Christopher MacLellan, Erik Harpstead, Kenneth R. Koedinger:
Decomposed Inductive Procedure Learning. CoRR abs/2110.13233 (2021) - 2020
- [j40]Nesra Yannier, Scott E. Hudson, Kenneth R. Koedinger:
Active Learning is About More Than Hands-On: A Mixed-Reality AI System to Support STEM Education. Int. J. Artif. Intell. Educ. 30(1): 74-96 (2020) - [c230]Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems. AIED (2) 2020: 124-129 - [c229]J. Elizabeth Richey, Nikki G. Lobczowski, Paulo F. Carvalho, Kenneth R. Koedinger:
Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software. AIED (1) 2020: 460-471 - [c228]Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger:
Investigating Differential Error Types Between Human and Simulated Learners. AIED (1) 2020: 586-597 - [c227]Nicholas Diana, John C. Stamper, Ken Koedinger:
Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. CHI 2020: 1-11 - [c226]Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
An Interaction Design for Machine Teaching to Develop AI Tutors. CHI 2020: 1-11 - [c225]Nicholas Diana, Jessica Hammer, John C. Stamper, Kenneth R. Koedinger:
Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. CHI PLAY (Companion) 2020: 50-53 - [c224]Steven Dang, Kenneth R. Koedinger:
The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation. EDM 2020 - [c223]Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn Penstein Rosé, Justin Reich:
Practice-Based Teacher Education With ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. ICLS 2020 - [c222]Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price:
Building an Infrastructure for Computer Science Education Research and Practice at Scale. L@S 2020: 211-213 - [e3]Thomas W. Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger, Yang Shi:
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020. CEUR Workshop Proceedings 2734, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j39]Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger:
Explanatory learner models: Why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50(6): 2943-2958 (2019) - [c221]Nicholas Diana, John C. Stamper, Kenneth R. Koedinger:
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. AIED (2) 2019: 62-66 - [c220]Nicholas Diana, John C. Stamper, Ken Koedinger:
Predicting Bias in the Evaluation of Unlabeled Political Arguments. CogSci 2019: 1640-1646 - [c219]Yugo Hayashi, Ken Koedinger:
What are you talking about?: A Cognitive Task Analysis of how specificity in communication facilitates shared perspective in a confusing collaboration task. CogSci 2019: 1887-1893 - [c218]Judith Uchidiuno, Evelyn Yarzebinski, Emilio Vargas-Vite, Ken Koedinger, Amy Ogan:
The Effectiveness of Publicly vs. Privately Assigned Group Leaders Among Learners in Rural Villages in Tanzania. CSCL 2019 - [c217]Judith Uchidiuno, Evelyn Yarzebinski, Emily Keebler, Kenneth R. Koedinger, Amy Ogan:
Learning from african classroom pedagogy to increase student engagement in education technologies. COMPASS 2019: 99-110 - [c216]Steven Dang, Ken Koedinger:
Exploring the Link Between Motivations and Gaming. EDM 2019 - [c215]Daniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger:
Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning. EDM 2019 - [c214]Khushboo Thaker, Paulo Carvalho, Kenneth R. Koedinger:
Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs. LAK 2019: 111-115 - [c213]Xu Wang, Srinivasa Teja Talluri, Carolyn P. Rosé, Kenneth R. Koedinger:
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities. L@S 2019: 17:1-17:10 - 2018
- [j38]Judith Uchidiuno, Ken Koedinger, Jessica Hammer, Evelyn Yarzebinski, Amy Ogan:
How Do English Language Learners Interact with Different Content Types in MOOC Videos? Int. J. Artif. Intell. Educ. 28(4): 508-527 (2018) - [c212]Erik Harpstead, Christopher J. MacLellan, Robert P. Marinier, Kenneth R. Koedinger:
Towards Natural Cognitive System Training Interactions: A Preliminary Framework. AAAI Spring Symposia 2018 - [c211]Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models Using Neural Networks. AIED (1) 2018: 43-56 - [c210]Nicholas Diana, John C. Stamper, Ken Koedinger:
An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. AIED (1) 2018: 86-97 - [c209]Paulo F. Carvalho, Kody Manke, Ken Koedinger:
Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions. CogSci 2018 - [c208]Judith Uchidiuno, Evelyn Yarzebinski, Michael A. Madaio, Nupur Maheshwari, Ken Koedinger, Amy Ogan:
Designing Appropriate Learning Technologies for School vs Home Settings in Tanzanian Rural Villages. COMPASS 2018: 9:1-9:11 - [c207]Paulo F. Carvalho, Min Gao, Benjamin A. Motz, Ken Koedinger:
Analyzing the relative learning benefits of completing required activities and optional readings in online courses. EDM 2018 - [c206]Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand:
Is the Doer Effect Robust Across Multiple Data Sets? EDM 2018 - [c205]Clifford A. Shaffer, Peter Brusilovsky, Kenneth R. Koedinger, Stephen H. Edwards:
CS Education Infrastructure for All: Interoperability for Tools and Data Analytics (Abstract Only). SIGCSE 2018: 1063 - [e2]Rose Luckin, Scott R. Klemmer, Kenneth R. Koedinger:
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, London, UK, June 26-28, 2018. ACM 2018 [contents] - [i1]Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models using Neural Networks. CoRR abs/1806.08065 (2018) - 2017
- [j37]Kelly Rivers, Kenneth R. Koedinger:
Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor. Int. J. Artif. Intell. Educ. 27(1): 37-64 (2017) - [j36]Eliane Stampfer Wiese, Kenneth R. Koedinger:
Designing Grounded Feedback: Criteria for Using Linked Representations to Support Learning of Abstract Symbols. Int. J. Artif. Intell. Educ. 27(3): 448-474 (2017) - [c204]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED 2017: 605-608 - [c203]James Derek Lomas, Kenneth R. Koedinger, Nirmal Patel, Sharan Shodhan, Nikhil Poonwala, Jodi L. Forlizzi:
Is Difficulty Overrated?: The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games. CHI 2017: 1028-1039 - [c202]Paulo F. Carvalho, Elizabeth A. McLaughlin, Ken Koedinger:
Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes. CogSci 2017 - [c201]Nicholas Diana, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. EDM 2017 - [c200]Ran Liu, Kenneth R. Koedinger:
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. EDM 2017 - [c199]Ran Liu, Kenneth R. Koedinger:
Towards reliable and valid measurement of individualized student parameters. EDM 2017 - [c198]Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.:
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM 2017 - [c197]Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik:
Community based educational data repositories and analysis tools. LAK 2017: 524-525 - [c196]Steven Dang, Michael Yudelson, Kenneth R. Koedinger:
Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems. L@S 2017: 51-59 - [c195]Judith Uchidiuno, Jessica Hammer, Evelyn Yarzebinski, Kenneth R. Koedinger, Amy Ogan:
Characterizing ELL Students' Behavior During MOOC Videos Using Content Type. L@S 2017: 185-188 - 2016
- [j35]Kenneth R. Koedinger, Vincent Aleven:
An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City". Int. J. Artif. Intell. Educ. 26(1): 13-24 (2016) - [j34]Vincent Aleven, Ido Roll, Bruce M. McLaren, Kenneth R. Koedinger:
Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 26(1): 205-223 (2016) - [j33]Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Martin Van Velsen, Octav Popescu, Sandra Demi, Michael A. Ringenberg, Kenneth R. Koedinger:
Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers. Int. J. Artif. Intell. Educ. 26(1): 224-269 (2016) - [j32]Nesra Yannier, Scott E. Hudson, Eliane Stampfer Wiese, Kenneth R. Koedinger:
Adding Physical Objects to an Interactive Game Improves Learning and Enjoyment: Evidence from EarthShake. ACM Trans. Comput. Hum. Interact. 23(4): 26:1-26:31 (2016) - [j31]Kenneth R. Koedinger, Michael Yudelson, Philip I. Pavlik Jr.:
Testing Theories of Transfer Using Error Rate Learning Curves. Top. Cogn. Sci. 8(3): 589-609 (2016) - [c194]James Derek Lomas, Jodi Forlizzi, Nikhil Poonwala, Nirmal Patel, Sharan Shodhan, Kishan Patel, Kenneth R. Koedinger, Emma Brunskill:
Interface Design Optimization as a Multi-Armed Bandit Problem. CHI 2016: 4142-4153 - [c193]Rony Patel, Ran Liu, Kenneth R. Koedinger:
When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. CogSci 2016 - [c192]Eliane Wiese, Rony Patel, Kenneth R. Koedinger:
Benefits for Grounded Feedback over Correctness in a Fraction Addition Tutor. CogSci 2016 - [c191]Eliane Wiese, Rony Patel, Kenneth R. Koedinger:
Why Sense-Making through Magnitude May Be Harder for Fractions than for Whole Numbers. CogSci 2016 - [c190]Christopher J. MacLellan, Erik Harpstead, Rony Patel, Kenneth R. Koedinger:
The Apprentice Learner architecture: Closing the loop between learning theory and educational data. EDM 2016: 151-158 - [c189]Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger:
Data-driven Automated Induction of Prerequisite Structure Graphs. EDM 2016: 318-323 - [c188]Kenneth R. Koedinger, Elizabeth A. McLaughlin:
Closing the Loop with Quantitative Cognitive Task Analysis. EDM 2016: 412-417 - [c187]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. EDM 2016: 583-584 - [c186]Kelly Rivers, Erik Harpstead, Kenneth R. Koedinger:
Learning Curve Analysis for Programming: Which Concepts do Students Struggle With? ICER 2016: 143-151 - [c185]Noboru Matsuda, Nikolaos Barbalios, Zhengzheng Zhao, Anya Ramamurthy, Gabriel J. Stylianides, Kenneth R. Koedinger:
Tell Me How to Teach, I'll Learn How to Solve Problems. ITS 2016: 111-121 - [c184]Ran Liu, Rony Patel, Kenneth R. Koedinger:
Modeling common misconceptions in learning process data. LAK 2016: 369-377 - [c183]Kenneth R. Koedinger, Elizabeth A. McLaughlin, Julianna Zhuxin Jia, Norman L. Bier:
Is the doer effect a causal relationship?: how can we tell and why it's important. LAK 2016: 388-397 - [c182]Judith Uchidiuno, Amy Ogan, Kenneth R. Koedinger, Evelyn Yarzebinski, Jessica Hammer:
Browser Language Preferences as a Metric for Identifying ESL Speakers in MOOCs. L@S 2016: 277-280 - [c181]Ken Koedinger:
Practical Learning Research at Scale. L@S 2016: 429 - 2015
- [j30]Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Integrating representation learning and skill learning in a human-like intelligent agent. Artif. Intell. 219: 67-91 (2015) - [j29]Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger:
Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. Int. J. Artif. Intell. Educ. 25(1): 1-34 (2015) - [j28]Philip I. Pavlik, Michael Yudelson, Kenneth R. Koedinger:
A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes. Int. J. Artif. Intell. Educ. 25(3): 346-379 (2015) - [j27]Karrie E. Godwin, Derek Lomas, Kenneth R. Koedinger, Anna V. Fisher:
Monster Mischief: Designing a Video Game to Assess Selective Sustained Attention. Int. J. Gaming Comput. Mediat. Simulations 7(4): 18-39 (2015) - [c180]Kenneth R. Koedinger, Noboru Matsuda, Christopher J. MacLellan, Elizabeth A. McLaughlin:
Methods for Evaluating Simulated Learners: Examples from SimStudent. AIED Workshops 2015 - [c179]Christopher J. MacLellan, Erik Harpstead, Eliane Stampfer Wiese, Mengfan Zou, Noboru Matsuda, Vincent Aleven, Kenneth R. Koedinger:
Authoring Tutors with Complex Solutions: A Comparative Analysis of Example Tracing and SimStudent. AIED Workshops 2015 - [c178]Nesra Yannier, Kenneth R. Koedinger, Scott E. Hudson:
Learning from Mixed-Reality Games: Is Shaking a Tablet as Effective as Physical Observation? CHI 2015: 1045-1054 - [c177]Danny Koh, Kenneth R. Koedinger, Carolyn P. Rosé, David F. Feldon:
Expertise in Cognitive Task Analysis Interviews. CogSci 2015 - [c176]Rony Patel, Kenneth R. Koedinger:
Does Learning Magnitude Knowledge help Students Learn Procedural Knowledge or Vice Versa? CogSci 2015 - [c175]Eliane Wiese, Rony Patel, Jennifer K. Olsen, Kenneth R. Koedinger:
Transitivity is Not Obvious: Probing Prerequisites for Learning. CogSci 2015 - [c174]Christopher J. MacLellan, Ran Liu, Kenneth R. Koedinger:
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. EDM 2015: 53-60 - [c173]Xu Wang, Diyi Yang, Miaomiao Wen, Kenneth R. Koedinger, Carolyn P. Rosé:
Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains. EDM 2015: 226-233 - [c172]Mohammad Hassan Falakmasir, Michael Yudelson, Steven Ritter, Kenneth R. Koedinger:
Spectral Bayesian Knowledge Tracing. EDM 2015: 360-363 - [c171]Ran Liu, Kenneth R. Koedinger:
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. EDM 2015: 420-423 - [c170]Kenneth R. Koedinger, Jihee Kim, Julianna Zhuxin Jia, Elizabeth A. McLaughlin, Norman L. Bier:
Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC. L@S 2015: 111-120 - 2014
- [j26]Erin Walker, Nikol Rummel, Kenneth R. Koedinger:
Adaptive Intelligent Support to Improve Peer Tutoring in Algebra. Int. J. Artif. Intell. Educ. 24(1): 33-61 (2014) - [j25]Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014(May): 3:1-3:13 (2014) - [c169]Eliane Wiese, Kenneth R. Koedinger:
Investigating Scaffolds for Sense Making in Fraction Addition and Comparison. CogSci 2014 - [c168]Tanja Käser, Kenneth R. Koedinger, Markus H. Gross:
Different parameters - same prediction: An analysis of learning curves. EDM 2014: 52-59 - [c167]Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Interpreting model discovery and testing generalization to a new dataset. EDM 2014: 107-113 - [c166]Benjamin S. Goldberg, Robert A. Sottilare, Ido Roll, Susanne P. Lajoie, Eric Poitras, Gautam Biswas, James René Segedy, John S. Kinnebrew, Elaine Stampfer Wiese, Yanjin Long, Vincent Aleven, Kenneth R. Koedinger, Phil Winne:
Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. ICLS 2014 - [c165]Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel Stylianides, William W. Cohen, Kenneth R. Koedinger:
Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. Intelligent Tutoring Systems 2014: 104-113 - [c164]Kelly Rivers, Kenneth R. Koedinger:
Automating Hint Generation with Solution Space Path Construction. Intelligent Tutoring Systems 2014: 329-339 - [c163]Christopher J. MacLellan, Kenneth R. Koedinger, Noboru Matsuda:
Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality. Intelligent Tutoring Systems 2014: 551-560 - [c162]Eliane Stampfer Wiese, Kenneth R. Koedinger:
Toward Sense Making with Grounded Feedback. Intelligent Tutoring Systems 2014: 695-697 - 2013
- [j24]Noboru Matsuda, Evelyn Yarzebinski, Victoria Keiser, Rohan Raizada, Gabriel J. Stylianides, Kenneth R. Koedinger:
Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment. Int. J. Artif. Intell. Educ. 23(1-4): 1-21 (2013) - [j23]Nan Li, William W. Cohen, Kenneth R. Koedinger:
Problem Order Implications for Learning. Int. J. Artif. Intell. Educ. 23(1-4): 71-93 (2013) - [j22]Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper:
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. AI Mag. 34(3): 27-41 (2013) - [j21]Kenneth R. Koedinger, John C. Stamper, Brett Leber, Alida Skogsholm:
LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science. Top. Cogn. Sci. 5(3): 668-669 (2013) - [c161]Nesra Yannier, Kenneth R. Koedinger, Scott E. Hudson:
Tangible Collaborative Learning with a Mixed-Reality Game: EarthShake. AIED 2013: 131-140 - [c160]Michael Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon:
Individualized Bayesian Knowledge Tracing Models. AIED 2013: 171-180 - [c159]Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger:
Integrating Perceptual Learning with External World Knowledge in a Simulated Student. AIED 2013: 400-410 - [c158]Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon:
Using Data-Driven Discovery of Better Student Models to Improve Student Learning. AIED 2013: 421-430 - [c157]Janice D. Gobert, Juelaila J. Raziuddin, Kenneth R. Koedinger:
Auto-scoring Discovery and Confirmation Bias in Interpreting Data during Science Inquiry in a Microworld. AIED 2013: 770-773 - [c156]Christopher J. MacLellan, Noboru Matsuda, Kenneth R. Koedinger:
Toward a reflective SimStudent: Using experience to avoid generalization errors. AIED Workshops 2013 - [c155]