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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
[j47]Ryan S. Baker:
Learning Analytics: An Opportunity for Education. XRDS 29(3): 18-21 (2023)- [j46]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) - [j45]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) - [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) - [c244]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 - [c243]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 - 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 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]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
- [j26]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) - [j25]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 K. 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