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ORCIDRyan Baker 0001
Ryan S. Baker – Ryan Shaun Baker – Ryan Shaun Joazeiro de Baker
Person information
- affiliation: University of Pennsylvania, Graduate School of Education, Philadelphia, PA, USA
- affiliation: Teachers College, Columbia University, New York, NY, USA
- affiliation: Worcester Polytechnic Institute, MA, USA
Other persons with the same name
- Ryan Baker 0002 — Microsoft Corporation, Redmond, WA, USA
- Ryan Baker 0003 — Ford Motor Company, USA
- Ryan Baker 0004 — Rowan University, Glassboro, NJ, USA
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2020 – today
- 2022
[j33]Genaro Rebolledo-Mendez
, N. Sofia Huerta-Pacheco, Ryan S. Baker, Benedict du Boulay:
Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics. Int. J. Artif. Intell. Educ. 32(1): 174-195 (2022)- [c236]Karen Wang, Zhenjun Ma, Ryan S. Baker, Yuanyuan Li:
Iterative Refinement of an AIS Rewards System. HCI (31) 2022: 113-125 - [c235]Shamya Karumbaiah, Ryan Baker, Yan Tao, Ziyang Liu:
How does Students' Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy. LAK 2022: 24-33 - [c234]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Ben Motz, Debshila Basu Mallick, Klinton Bicknell, Danielle S. McNamara, René F. Kizilcec, Jeremy Roschelle, Richard G. Baraniuk, Ryan Baker:
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2022: 252-254 - [c233]Jiayi Zhang, Taylor Cunningham, Rashmi Iyer, Ryan Baker, Eric Fouh:
Exploring the Impact of Voluntary Practice and Procrastination in an Introductory Programming Course. SIGCSE (1) 2022: 356-361 - 2021
- [j32]Ryan S. Baker, Dragan Gasevic, Shamya Karumbaiah:
Four paradigms in learning analytics: Why paradigm convergence matters. Comput. Educ. Artif. Intell. 2: 100021 (2021) - [j31]Jodi Asbell-Clarke, Elizabeth Rowe, Mia Victoria Almeda, Teon Edwards, Erin Bardar, Santiago Gasca, Ryan S. Baker, Richard Scruggs:
The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis. Comput. Hum. Behav. 115: 106587 (2021) - [j30]Elizabeth Rowe, Ma. Victoria Almeda, Jodi Asbell-Clarke, Richard Scruggs, Ryan Baker, Erin Bardar, Santiago Gasca:
Assessing implicit computational thinking in Zoombinis puzzle gameplay. Comput. Hum. Behav. 120: 106707 (2021) - [c232]Seth Akonor Adjei, Ryan S. Baker, Vedant Bahel:
Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence. AIED (1) 2021: 16-28 - [c231]Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas:
Affect-Targeted Interviews for Understanding Student Frustration. AIED (1) 2021: 52-63 - [c230]Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres:
Towards Sharing Student Models Across Learning Systems. AIED (2) 2021: 60-65 - [c229]J. Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs, Michael Mogessie Ashenafi, Ryan S. Baker, Bruce M. McLaren:
Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game. AIED (1) 2021: 342-355 - [c228]Yiqiu Zhou, Juan Miguel L. Andres-Bray, Stephen Hutt, Korinn Ostrow, Ryan S. Baker:
A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners. AIED (2) 2021: 427-432 - [c227]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c226]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker:
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM 2021 - [c225]Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs:
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. EDM 2021 - [c224]Juliana Ma. Alexandra L. Andres, Stephen Hutt, Jaclyn Ocumpaugh, Ryan S. Baker, Nidhi Nasiar, Chelsea Porter:
How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews. ICQE 2021: 268-283 - [c223]Eric Fouh, Wellington Lee, Ryan S. Baker:
Nudging students to reduce procrastination in office hours and forums. IV 2021: 248-254 - [c222]Shamya Karumbaiah, Andrew S. Lan, Sachit Nagpal, Ryan S. Baker, Anthony Botelho, Neil T. Heffernan:
Using Past Data to Warm Start Active Machine Learning: Does Context Matter? LAK 2021: 151-160 - [c221]Fatemeh Salehian Kia, Marek Hatala, Ryan S. Baker, Stephanie D. Teasley:
Measuring Students' Self-Regulatory Phases in LMS with Behavior and Real-Time Self Report. LAK 2021: 259-268 - 2020
- [j29]V. Elizabeth Owen, Ryan S. Baker:
Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games. Technol. Knowl. Learn. 25(2): 225-250 (2020) - [c220]Michael Mogessie Ashenafi, J. Elizabeth Richey, Bruce M. McLaren, Juan Miguel L. Andres-Bray, Ryan S. Baker:
Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game. AIED (2) 2020: 208-213 - [c219]Nathan L. Henderson, Jonathan P. Rowe, Luc Paquette, Ryan S. Baker, James C. Lester:
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion. AIED (1) 2020: 228-239 - [c218]Rurik Tywoniw, Scott A. Crossley, Jaclyn Ocumpaugh, Shamya Karumbaiah, Ryan Baker:
Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System. AIED (2) 2020: 329-333 - [c217]Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas:
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. AIED (1) 2020: 411-422 - [c216]Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Ryan S. Baker, Gregor E. Kennedy, James Bailey:
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment. AIED (1) 2020: 423-436 - [c215]Jaclyn Ocumpaugh, Ryan S. Baker, Shamya Karumbaiah, Scott A. Crossley, Matthew J. Labrum:
Affective Sequences and Student Actions Within Reasoning Mind. AIED (1) 2020: 437-447 - [c214]Yeyu Wang, Shimin Kai, Ryan Shaun Baker:
Early Detection of Wheel-Spinning in ASSISTments. AIED (1) 2020: 574-585 - [c213]Deepak Agarwal, Ryan Baker, Anupama Muraleedharan:
Dynamic knowledge tracing through data driven recency weights. EDM 2020 - [c212]Lalitha Agnihotri, Ryan Baker, Steve Stalzer:
A Procrastination Index for Online Learning Based on Assignment Start Time. EDM 2020 - [c211]Stefan Slater, Ryan Baker, Yeyu Wang:
Iterative Feature Engineering Through Text Replays of Model Error. EDM 2020 - [c210]Shengni Wang, Yuxin Zhao, Wei Ma, Zhenjun Ma, Ryan Baker:
The Results of Zone of Proximal Development on Learning Outcome. EDM 2020 - [c209]Yang Jiang, Ma. Victoria Almeda, Shimin Kai, Ryan S. Baker, Korinn Ostrow, Paul Salvador Inventado, Peter Scupelli:
Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance. ICLS 2020 - [c208]Mamta Shah, Erica L. Snow, Ryan Baker, Christine Gouveia:
Learning Scientists in Academia and Industry: Building Bridges and Expanding the Potential of our Community. ICLS 2020 - [c207]Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker:
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. ICQE 2020: 185-201 - [c206]Shamya Karumbaiah, Ryan S. Baker:
Studying Affect Dynamics Using Epistemic Networks. ICQE 2020: 362-374 - [c205]Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas:
The relationship between confusion and metacognitive strategies in Betty's Brain. LAK 2020: 276-284 - [c204]Inge Molenaar, Anne Horvers, Rick Dijkstra, Ryan S. Baker:
Personalized visualizations to promote young learners' SRL: the learning path app. LAK 2020: 330-339
2010 – 2019
- 2019
- [j28]J. Elizabeth Richey, Juan Miguel L. Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Juliana Ma. Alexandra L. Andres, Jon Star, Ryan S. Baker, Bruce M. McLaren:
More confusion and frustration, better learning: The impact of erroneous examples. Comput. Educ. 139: 173-190 (2019) - [j27]Luc Paquette, Ryan S. Baker:
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system. Interact. Learn. Environ. 27(5-6): 585-597 (2019) - [c203]Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, Keith Brawner, Ryan S. Baker, James C. Lester:
4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion. AIED (1) 2019: 144-156 - [c202]Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh:
The Case of Self-transitions in Affective Dynamics. AIED (1) 2019: 172-181 - [c201]Xiaotian Zou, Wei Ma, Zhenjun Ma, Ryan S. Baker:
Towards Helping Teachers Select Optimal Content for Students. AIED (2) 2019: 413-417 - [c200]J. Elizabeth Richey, Bruce M. McLaren, Miguel Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Ryan S. Baker, Jon Star:
Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference? AIED (1) 2019: 445-457 - [c199]Srikrishna Raamadhurai, Ryan Baker, Vikraman Poduval:
Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning. BEA@ACL 2019: 336-342 - [c198]Yang Jiang, Ma. Victoria Almeda, Shimin Kai, Ryan Baker, Korinn Ostrow, Paul Salvador Inventado, Peter Scupelli:
Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance. CogSci 2019: 3291 - [c197]Henry Anderson, Afshan Boodhwani, Ryan S. Baker:
Assessing the Fairness of Graduation Predictions. EDM 2019 - [c196]Juan Miguel L. Andres-Bray, Jaclyn L. Ocumpaugh, Ryan S. Baker:
Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses. EDM 2019 - [c195]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. EDM 2019 - [c194]Chad Coleman, Ryan S. Baker, Shonte Stephenson:
A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts. EDM 2019 - [c193]Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. EDM 2019 - [c192]Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker:
The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures. EDM 2019 - [c191]V. Elizabeth Owen, Marie-Helene Roy, K. P. Thai, Vesper Burnett, Daniel Jacobs, Eric Keylor, Ryan S. Baker:
Detecting Wheel Spinning and Productive Persistence in Educational Games. EDM 2019 - [c190]Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan:
Active Learning for Student Affect Detection. EDM 2019 - [c189]Shamya Karumbaiah, Ryan S. Baker, Amanda Barany, Valerie Shute:
Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game. ICQE 2019: 106-116 - [c188]Josh Gardner, Christopher Brooks, Ryan Baker:
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. LAK 2019: 225-234 - [c187]Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas:
Affect Sequences and Learning in Betty's Brain. LAK 2019: 383-390 - [c186]Inge Molenaar, Anne Horvers, Ryan S. Baker:
Towards Hybrid Human-System Regulation: Understanding Children' SRL Support Needs in Blended Classrooms. LAK 2019: 471-480 - [c185]Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker:
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis. LDK 2019: 25:1-25:13 - [i4]Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students. CoRR abs/1901.03793 (2019) - [i3]Richard Scruggs, Ryan S. Baker, Bruce M. McLaren:
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. CoRR abs/1910.12597 (2019) - 2018
- [j26]Sergio Salmeron-Majadas, Ryan S. Baker, Olga C. Santos, Jesús González-Boticario:
A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios. IEEE Access 6: 39154-39179 (2018) - [j25]Robert A. Sottilare, Ryan S. Baker, Arthur C. Graesser, James C. Lester:
Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research. Int. J. Artif. Intell. Educ. 28(2): 139-151 (2018) - [j24]Jeanine DeFalco, Jonathan P. Rowe, Luc Paquette, Vasiliki Georgoulas, Keith W. Brawner, Bradford W. Mott, Ryan S. Baker, James C. Lester:
Detecting and Addressing Frustration in a Serious Game for Military Training. Int. J. Artif. Intell. Educ. 28(2): 152-193 (2018) - [c184]Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas:
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? AIED (1) 2018: 198-211 - [c183]Luc Paquette, Ryan S. Baker, Michal Moskal:
A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere. AIED (2) 2018: 257-260 - [c182]Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Role of Socio-cultural Differences in Labeling Students' Affective States. AIED (1) 2018: 367-380 - [c181]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. IEEE BigData 2018: 3235-3244 - [c180]Elizabeth Rowe, Jodi Asbell-Clarke, Ryan Shaun Baker, Santiago Gasca, Erin Bardar, Richard Scruggs:
Labeling Implicit Computational Thinking in Pizza Pass Gameplay. CHI Extended Abstracts 2018 - [c179]Deepak Agarwal, Nishant Babel, Ryan S. Baker:
Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy. EDM 2018 - [c178]Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan:
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. EDM 2018 - [c177]Scott A. Crossley, Jaclyn Ocumpaugh, Matthew J. Labrum, Franklin Bradfield, Mihai Dascalu, Ryan S. Baker:
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features. EDM 2018 - [c176]Shamya Karumbaiah, Ryan S. Baker, Valerie J. Shute:
Predicting Quitting in Students Playing a Learning Game. EDM 2018 - [c175]Sinem Aslan, Eda Okur, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling. HCI (29) 2018: 372-379 - [c174]Shamya Karumbaiah, Seyedahmad Rahimi, Ryan Baker, Valerie Shute, Sidney D'Mello:
Is Student Frustration in Learning Games More Associated with Game Mechanics or Conceptual Understanding? ICLS 2018 - [c173]Shirin Mojarad, Alfred Essa, Shahin Mojarad, Ryan S. Baker:
Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and Effort. ITS 2018: 130-139 - [c172]Ani Aghababyan, Nicholas Lewkow, Ryan S. Baker:
Enhancing the Clustering of Student Performance Using the Variation in Confidence. ITS 2018: 274-279 - [c171]Victor Kostyuk, Ma. Victoria Almeda, Ryan S. Baker:
Correlating affect and behavior in reasoning mind with state test achievement. LAK 2018: 26-30 - [c170]Juan Miguel L. Andres, Ryan S. Baker, Dragan Gasevic, George Siemens, Scott A. Crossley, Srecko Joksimovic:
Studying MOOC completion at scale using the MOOC replication framework. LAK 2018: 71-78 - [c169]Junyi Li, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Matthew J. Labrum, Victor Kostyuk, Scott A. Crossley:
Student online behaviors: correlations to math identity. LAK 2018: 441-445 - [c168]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker:
Replicating MOOC predictive models at scale. L@S 2018: 1:1-1:10 - [c167]Vincent Aleven, Jonathan Sewall, Juan Miguel L. Andres, Robert A. Sottilare, Rodney A. Long, Ryan Baker:
Towards adapting to learners at scale: integrating MOOC and intelligent tutoring frameworks. L@S 2018: 14:1-14:4 - [c166]Sinem Aslan, Eda Okur, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States. MIS4TEL 2018: 53-61 - [c165]Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette:
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. UMAP 2018: 131-138 - [i2]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. CoRR abs/1801.05236 (2018) - [i1]Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. CoRR abs/1806.05208 (2018) - 2017
- [j23]Elizabeth Rowe, Jodi Asbell-Clarke, Ryan S. Baker, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards:
Assessing implicit science learning in digital games. Comput. Hum. Behav. 76: 617-630 (2017) - [j22]Maria Ofelia Clarissa Z. San Pedro, Ryan S. Baker, Neil T. Heffernan:
An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. Technol. Knowl. Learn. 22(3): 243-270 (2017) - [c164]Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Victoria Almeda, Laura Allen, Neil T. Heffernan:
Using natural language processing tools to develop complex models of student engagement. ACII 2017: 542-547 - [c163]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Improving Sensor-Free Affect Detection Using Deep Learning. AIED 2017: 40-51 - [c162]Jaclyn Ocumpaugh, Juan Miguel L. Andres, Ryan S. Baker, Jeanine DeFalco, Luc Paquette, Jonathan P. Rowe, Bradford W. Mott, James C. Lester, Vasiliki Georgoulas, Keith W. Brawner, Robert A. Sottilare:
Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion. AIED 2017: 238-249 - [c161]Luc Paquette, Ryan S. Baker:
Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments. AIED 2017: 274-286 - [c160]Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan S. Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell:
Exploring Learner Model Differences Between Students. AIED 2017: 494-497 - [c159]Mark A. Riedesel, Neil L. Zimmerman, Ryan S. Baker, Tom Titchener, James Cooper:
Using a Model for Learning and Memory to Simulate Learner Response in Spaced Practice. AIED 2017: 644-649 - [c158]Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker, Stefan Trausan-Matu:
Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis. CSCL 2017 - [c157]Juan Miguel L. Andres, Ryan S. Baker, George Siemens, Dragan Gasevic, Catherine A. Spann, Scott A. Crossley:
Studying MOOC Completion at Scale Using the MOOC Replication Framework. EDM 2017 - [c156]Joseph Beck, Min Chi, Ryan S. Baker:
Workshop proposal: deep learning for educational data mining. EDM 2017 - [c155]Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan:
Modeling Wheel-spinning and Productive Persistence in Skill Builders. EDM 2017 - [c154]Shimin Kai, Juan Miguel L. Andres, Luc Paquette, Ryan S. Baker, Kati Molnar, Harriet Watkins, Michael Moore:
Predicting Student Retention from Behavior in an Online Orientation Course. EDM 2017 - [c153]Jun Xie, Shirin Mojarad, Keith T. Shubeck, Alfred Essa, Ryan S. Baker, Xiangen Hu:
Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System. EDM 2017 - [c152]Lalitha Agnihotri, Alfred Essa, Ryan S. Baker:
Impact of student choice of content adoption delay on course outcomes. LAK 2017: 16-20 - [c151]Ani Aghababyan, Nicholas Lewkow, Ryan S. Baker:
Exploring the asymmetry of metacognition. LAK 2017: 115-119 - [c150]Christopher Brooks, Ryan Baker, Juan Miguel Limjap Andres:
Infrastructure for Replication in Learning Analytics. MLA/BLAC@LAK 2017 - [c149]Stefan Slater, Ryan S. Baker, Ma. Victoria Almeda, Alex J. Bowers, Neil T. Heffernan:
Using correlational topic modeling for automated topic identification in intelligent tutoring systems. LAK 2017: 393-397 - [c148]Jaclyn Ocumpaugh, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, M. Aaron Hawn, Cristina Heffernan, Neil T. Heffernan, Stefan A. Slater:
Guidance counselor reports of the ASSISTments college prediction model (ACPM). LAK 2017: 479-488 - [c147]Neil L. Zimmerman, Ryan S. Baker:
Mining knowledge components from many untagged questions. LAK 2017: 566-567 - [e3]Elisabeth André, Ryan S. Baker, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay:
Artificial Intelligence in Education - 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings. Lecture Notes in Computer Science 10331, Springer 2017, ISBN 978-3-319-61424-3 [contents] - 2016
- [j21]Ryan S. Baker:
Stupid Tutoring Systems, Intelligent Humans. Int. J. Artif. Intell. Educ. 26(2): 600-614 (2016) - [j20]Ryan Shaun Joazeiro de Baker, Jody Clarke-Midura, Jaclyn Ocumpaugh:
Towards general models of effective science inquiry in virtual performance assessments. J. Comput. Assist. Learn. 32(3): 267-280 (2016) - [j19]Nigel Bosch, Sidney K. D'Mello, Jaclyn Ocumpaugh, Ryan S. Baker, Valerie Shute:
Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms. ACM Trans. Interact. Intell. Syst. 6(2): 17:1-17:26 (2016) - [c146]Karrie E. Godwin, Howard J. Seltman, Ma. Victoria Almeda, Shimin Kai, Ryan S. Baker, Anna V. Fisher:
The Variable Relationship Between On-Task Behavior and Learning. CogSci 2016 - [c145]Zhongxiu Liu, Rebecca Brown, Collin F. Lynch, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara:
MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis. EDM 2016: 127-134 - [c144]Yijun Ma, Lalitha Agnihotri, Ryan S. Baker, Shirin Mojarad:
Effect of student ability and question difficulty on duration. EDM 2016: 135-142 - [c143]Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Peter Scupelli, Paul Salvador Inventado, Neil T. Heffernan:
Semantic Features of Math Problems: Relationships to Student Learning and Engagement. EDM 2016: 223-230 - [c142]Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Heffernan III, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater,