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ORCIDRyan Baker 0001
Ryan S. Baker 0001 – 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
- 2023
[j49]Ryan S. Baker:
AI and self-regulated learning theory: What could be on the horizon? Comput. Hum. Behav. 147: 107849 (2023)- [j48]Ryan S. Baker:
Learning Analytics: An Opportunity for Education. XRDS 29(3): 18-21 (2023) - [j47]Clara Belitz
, Jaclyn Ocumpaugh, Steven Ritter, Ryan S. Baker, Stephen E. Fancsali, Nigel Bosch:
Constructing categories: Moving beyond protected classes in algorithmic fairness. J. Assoc. Inf. Sci. Technol. 74(6): 663-668 (2023) - [j46]Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette:
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39(2): 351-368 (2023) - [j45]Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres:
A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning. IEEE Trans. Affect. Comput. 14(2): 1696-1710 (2023) - [j44]José A. Ruipérez Valiente, Yoon Jeon Kim, Ryan S. Baker, Pedro A. Martínez, Grace C. Lin:
The Affordances of Multivariate Elo-Based Learner Modeling in Game-Based Assessment. IEEE Trans. Learn. Technol. 16(2): 152-165 (2023) - [c252]Elena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh:
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent. AIED 2023: 139-150 - [c251]Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt:
Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. AIED (Posters/Late Breaking Results/...) 2023: 453-459 - [c250]Maciej Pankiewicz, Ryan Baker, Jaclyn Ocumpaugh:
Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes. AIED (Posters/Late Breaking Results/...) 2023: 593-598 - [c249]Hannah Gonzalez, Jiening Li, Helen Jin, Jiaxuan Ren, Hongyu Zhang, Ayotomiwa Akinyele, Adrian Wang, Eleni Miltsakaki, Ryan S. Baker, Chris Callison-Burch:
Automatically Generated Summaries of Video Lectures May Enhance Students' Learning Experience. BEA@ACL 2023: 382-393 - [c248]Xiner Liu, Stefan Slater, Juliana Ma. Alexandra L. Andres, Luke Swanson, Jennifer Scianna, David Gagnon, Ryan Shaun Baker:
Struggling to Detect Struggle in Students Playing a Science Exploration Game. CHI PLAY Companion 2023: 83-88 - [c247]Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh:
Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course. LAK 2023: 378-387 - [c246]Aaron Y. Wong, Richard L. Bryck, Ryan S. Baker, Stephen Hutt, Caitlin Mills:
Using a Webcam Based Eye-tracker to Understand Students' Thought Patterns and Reading Behaviors in Neurodivergent Classrooms. LAK 2023: 453-463 - [c245]Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker:
Exploring Cross-Country Prediction Model Generalizability in MOOCs. L@S 2023: 183-194 - [c244]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell, Jeremy Roschelle, Ben Motz, Danielle S. McNamara, Richard G. Baraniuk, Debshila Basu Mallick, René F. Kizilcec, Ryan Baker, Stephen Fancsali, April Murphy:
Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2023: 254-256 - [c243]Jiayi Zhang, Ryan S. Baker, Thomas A. Farmer:
No Benefit for High-Dosage Time Management Interventions in Online Courses. L@S 2023: 302-305 - [i8]Maciej Pankiewicz, Ryan Shaun Baker:
Large Language Models (GPT) for automating feedback on programming assignments. CoRR abs/2307.00150 (2023) - [i7]Valdemar Svábenský, Ryan S. Baker, Andrés Zambrano, Yishan Zou, Stefan Slater:
Towards Generalizable Detection of Urgency of Discussion Forum Posts. CoRR abs/2307.07614 (2023) - [i6]Yan Tao, Olga Viberg, Ryan Shaun Baker, René F. Kizilcec:
Auditing and Mitigating Cultural Bias in LLMs. CoRR abs/2311.14096 (2023) - 2022
- [j43]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) - [j42]Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Anam Ahmad Khan, Gregor E. Kennedy, James Bailey, Ryan Shaun Baker:
How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment. Int. J. Artif. Intell. Educ. 32(2): 233-262 (2022) - [j41]Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker:
Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology. Int. J. Artif. Intell. Educ. 32(3): 685-724 (2022) - [j40]Ryan S. Baker, Aaron Hawn:
Algorithmic Bias in Education. Int. J. Artif. Intell. Educ. 32(4): 1052-1092 (2022) - [j39]Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks:
Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. Br. J. Educ. Technol. 53(4): 756-775 (2022) - [j38]Seyedahmad Rahimi, Valerie J. Shute, Curt Fulwider, Katie Bainbridge, Renata Kuba, Xiaotong Yang, Ginny L. Smith, Ryan S. Baker, Sidney K. D'Mello:
Timing of learning supports in educational games can impact students' outcomes. Comput. Educ. 190: 104600 (2022) - [c242]Nidhi Nasiar, Ryan S. Baker, Jillian Li, Weiyi Gong:
How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research? AIED (1) 2022: 115-126 - [c241]Stefan Slater, Ryan Baker, Valerie Shute, Alex J. Bowers:
Engagement-Based Player Typologies Describe Game-Based Learning Outcomes. AIED (2) 2022: 325-328 - [c240]Yuanyuan Li, Xiaotian Zou, Zhenjun Ma, Ryan S. Baker:
A Multi-pronged Redesign to Reduce Gaming the System. AIED (2) 2022: 334-337 - [c239]Karen Wang, Zhenjun Ma, Ryan S. Baker, Yuanyuan Li:
Iterative Refinement of an AIS Rewards System. HCI (31) 2022: 113-125 - [c238]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 - [c237]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 - [c236]Ryan Baker, Stephen Hutt, Michael Mogessie Ashenafi, Haripriya Valayaputtar:
Research Using the MOOC Replication Framework and E-TRIALS. LWMOOCS 2022: 131-136 - [c235]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 - [i5]David J. Gagnon, Ryan S. Baker, Sarah Gagnon, Luke Swanson, Nick Spevacek, Juliana Ma. Alexandra L. Andres, Erik Harpstead, Jennifer Scianna, Stefan Slater, Maria Ofelia Clarissa Z. San Pedro:
Exploring players' experience of humor and snark in a grade 3-6 history practices game. CoRR abs/2210.09906 (2022) - 2021
- [j37]Ryan S. Baker, Dragan Gasevic, Shamya Karumbaiah:
Four paradigms in learning analytics: Why paradigm convergence matters. Comput. Educ. Artif. Intell. 2: 100021 (2021) - [j36]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) - [j35]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) - [j34]Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Gautam Biswas, Anabil Munshi:
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. J. Learn. Anal. 8(3): 28-44 (2021) - [c234]Seth Akonor Adjei, Ryan S. Baker, Vedant Bahel:
Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence. AIED (1) 2021: 16-28 - [c233]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 - [c232]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 - [c231]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 - [c230]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 - [c229]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c228]Vedant Bahel, Seth Akonor Adjei, Ryan S. Baker:
Transferring an existing gaming detection model to different system using semi-supervised approach. EDM (Workshops) 2021 - [c227]Rohini Das, Jiayi Zhang, Ryan S. Baker, Richard Scruggs:
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem. EDM (Workshops) 2021 - [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
- [j33]Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker:
Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students. J. Learn. Anal. 7(1) (2020) - [j32]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
- [j31]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) - [j30]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
- [j29]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) - [j28]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) - [j27]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]