Programming with Your Heart on Your Sleeve: Analyzing the Affective States of Computer Programming Students. - Nigel Bosch; Sidney K. D'Mello (AIED, 2013)

Sequential Patterns of Affective States of Novice Programmers. - Nigel Bosch; Sidney K. D'Mello (AIED Workshops, 2013)

What Emotions Do Novices Experience during Their First Computer Programming Learning Session? - Nigel Bosch; Sidney K. D'Mello; Caitlin Mills 001 (AIED, 2013)

What Makes Learning Fun? Exploring the Influence of Choice and Difficulty on Mind Wandering and Engagement during Learning. - Caitlin Mills 001; Sidney K. D'Mello; Blair Lehman; Nigel Bosch; Amber Chauncey Strain; Arthur C. Graesser (AIED, 2013)

Improving automated source code summarization via an eye-tracking study of programmers. - Paige Rodeghero; Collin McMillan; Paul W. McBurney; Nigel Bosch; Sidney K. D'Mello (ICSE, 2014)

It's Written on Your Face: Detecting Affective States from Facial Expressions while Learning Computer Programming. - Nigel Bosch; Yuxuan Chen; Sidney K. D'Mello (Intelligent Tutoring Systems, 2014)

It Takes Two: Momentary Co-occurrence of Affective States during Computerized Learning. - Nigel Bosch; Sidney K. D'Mello (Intelligent Tutoring Systems, 2014)

To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patterns. - Caitlin Mills 001; Nigel Bosch; Arthur C. Graesser; Sidney K. D'Mello (Intelligent Tutoring Systems, 2014)

Temporal Generalizability of Face-Based Affect Detection in Noisy Classroom Environments. - Nigel Bosch; Sidney K. D'Mello; Ryan Shaun Joazeiro de Baker; Jaclyn Ocumpaugh; Valerie J. Shute (AIED, 2015)

Mind Wandering During Learning with an Intelligent Tutoring System. - Caitlin Mills 001; Sidney K. D'Mello; Nigel Bosch; Andrew McGregor Olney (AIED, 2015)

Video-Based Affect Detection in Noninteractive Learning Environments. - Yuxuan Chen; Nigel Bosch; Sidney K. D'Mello (EDM, 2015)

A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground. - Shiming Kai; Luc Paquette; Ryan S. Baker 001; Nigel Bosch; Sidney K. D'Mello; Jaclyn Ocumpaugh; Valerie Shute; Matthew Ventura (EDM, 2015)

Multimodal Affect Detection in the Wild: Accuracy, Availability, and Generalizability. - Nigel Bosch (ICMI, 2015)

Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild. - Nigel Bosch; Huili Chen; Sidney K. D'Mello; Ryan Shaun Baker; Valerie J. Shute (ICMI, 2015)

Automatic Detection of Learning-Centered Affective States in the Wild. - Nigel Bosch; Sidney K. D'Mello; Ryan Shaun Baker; Jaclyn Ocumpaugh; Valerie Shute; Matthew Ventura; Lubin Wang; Weinan Zhao (IUI, 2015)

Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game. - Valerie J. Shute; Sidney K. D'Mello; Ryan Shaun Joazeiro de Baker; Kyunghwa Cho; Nigel Bosch; Jaclyn Ocumpaugh; Matthew Ventura; Ma. Victoria Almeda (Comput. Educ., 2015)

Attending to Attention: Detecting and Combating Mind Wandering during Computerized Reading. - Sidney K. D'Mello; Kristopher Kopp; Robert Earl Bixler; Nigel Bosch (CHI Extended Abstracts, 2016)

Student Emotion, Co-occurrence, and Dropout in a MOOC Context. - John Z. Dillon; Nigel Bosch; Malolan Chetlur; Nirandika Wanigasekara; G. Alex Ambrose; Bikram Sengupta; Sidney K. D'Mello (EDM, 2016)

Detecting Student Emotions in Computer-Enabled Classrooms. - Nigel Bosch; Sidney K. D'Mello; Ryan S. Baker 001; Jaclyn Ocumpaugh; Valerie Shute; Matthew Ventura; Lubin Wang; Weinan Zhao (IJCAI, 2016)

Detecting Student Engagement: Human Versus Machine. - Nigel Bosch (UMAP, 2016)

Where's Your Mind At?: Video-Based Mind Wandering Detection During Film Viewing. - Angela Stewart; Nigel Bosch; Huili Chen; Patrick J. Donnelly; Sidney K. D'Mello (UMAP, 2016)

Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms. - Nigel Bosch; Sidney K. D'Mello; Jaclyn Ocumpaugh; Ryan S. Baker 001; Valerie Shute (ACM Trans. Interact. Intell. Syst., 2016)

Face Forward: Detecting Mind Wandering from Video During Narrative Film Comprehension. - Angela Stewart; Nigel Bosch; Huili Chen; Patrick J. Donnelly; Sidney K. D'Mello (AIED, 2017)

Zone out no more: Mitigating mind wandering during computerized reading. - Sidney K. D'Mello; Caitlin Mills 001; Robert Bixler; Nigel Bosch (EDM, 2017)

Generalizability of Face-Based Mind Wandering Detection Across Task Contexts. - Angela Stewart; Nigel Bosch; Sidney D'Mello (EDM, 2017)

"Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom. - Stephen Hutt; Caitlin Mills 001; Nigel Bosch; Kristina Krasich; James R. Brockmole; Sidney K. D'Mello (UMAP, 2017)

The Affective Experience of Novice Computer Programmers. - Nigel Bosch; Sidney K. D'Mello (Int. J. Artif. Intell. Educ., 2017)

Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate. - Hamed Monkaresi; Nigel Bosch; Rafael A. Calvo; Sidney K. D'Mello (IEEE Trans. Affect. Comput., 2017)

Multimodal-multisensor affect detection. - Sidney K. D'Mello; Nigel Bosch; Huili Chen (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

Quantifying Classroom Instructor Dynamics with Computer Vision. - Nigel Bosch; Caitlin Mills 001; Jeffrey D. Wammes; Daniel Smilek (AIED (1), 2018)

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? - Yang Jiang; Nigel Bosch; Ryan S. Baker 001; Luc Paquette; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Allison L. Moore; Gautam Biswas (AIED (1), 2018)

Modeling Key Differences in Underrepresented Students' Interactions with an Online STEM Course. - Nigel Bosch; R. Wes Crues; Genevieve M. Henricks; Michelle Perry; Lawrence Angrave; Najmuddin Shaik; Suma Bhat; Carolyn J. Anderson (APAScience, 2018)

Who they are and what they want: Understanding the reasons for MOOC enrollment. - R. Wes Crues; Nigel Bosch; Carolyn J. Anderson; Michelle Perry; Suma Bhat; Najmuddin Shaik (EDM, 2018)

Matching Data-Driven Models of Group Interactions to Video Analysis of Collaborative Problem Solving on Tablet Computers. - Luc Paquette; Nigel Bosch; Emma Mercier; Jiyoon Jung; Saadeddine Shehab; Yurui Tong (ICLS, 2018)

Refocusing the lens on engagement in MOOCs. - R. Wes Crues; Nigel Bosch; Michelle Perry; Lawrence Angrave; Najmuddin Shaik; Suma Bhat (L@S, 2018)

Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases. - Nigel Bosch; Luc Paquette (J. Learn. Anal., 2018)

I'm Sure! Automatic Detection of Metacognition in Online Course Discussion Forums. - Eddie Huang; Hannah Valdiviejas; Nigel Bosch (ACII, 2019)

Reducing Mind-Wandering During Vicarious Learning from an Intelligent Tutoring System. - Caitlin Mills 001; Nigel Bosch; Kristina Krasich; Sidney K. D'Mello (AIED (1), 2019)

Affect Sequences and Learning in Betty's Brain. - Juliana Ma. Alexandra L. Andres; Jaclyn Ocumpaugh; Ryan S. Baker 001; Stefan Slater; Luc Paquette; Yang Jiang; Shamya Karumbaiah; Nigel Bosch; Anabil Munshi; Allison L. Moore; Gautam Biswas (LAK, 2019)

Modeling Improvement for Underrepresented Minorities in Online STEM Education. - Nigel Bosch; Eddie Huang; Lawrence Angrave; Michelle Perry (UMAP, 2019)

Disengagement during lectures: Media multitasking and mind wandering in university classrooms. - Jeffrey D. Wammes; Brandon C. W. Ralph; Caitlin Mills 001; Nigel Bosch; Tracy L. Duncan; Daniel Smilek (Comput. Educ., 2019)

Identifying supportive contexts for mindset interventions: A two-model machine learning approach. - Nigel Bosch (CoRR, 2019)

Automated gaze-based mind wandering detection during computerized learning in classrooms. - Stephen Hutt; Kristina Krasich; Caitlin Mills 001; Nigel Bosch; Shelby White; James R. Brockmole; Sidney K. D'Mello (User Model. User Adapt. Interact., 2019)

The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech. - Ian Gliser; Caitlin Mills 001; Nigel Bosch; Shelby Smith; Daniel Smilek; Jeffrey D. Wammes (AIED (1), 2020)

Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation. - Linh K. Hoang; Richard D. Boyce; Nigel Bosch; Britney Stottlemyer; Mathias Brochhausen; Jodi Schneider (AMIA, 2020)

"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums. - Nigel Bosch; R. Wes Crues; Najmuddin Shaik; Luc Paquette (EDM, 2020)

Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving. - Paul Hur; Nigel Bosch; Luc Paquette; Emma Mercier (EDM, 2020)

Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models. - Debopam Sanyal; Nigel Bosch; Luc Paquette (EDM, 2020)

Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis. - Hannah Valdiviejas; Nigel Bosch (EDM, 2020)

Advancing Computational Grounded Theory for Audiovisual Data from Mathematics Classrooms. - Cynthia D'Angelo; Elizabeth B. Dyer; Christina Krist; Joshua Rosenberg 001; Nigel Bosch (ICLS, 2020)

Online Discussion Forum Help-Seeking Behaviors of Students Underrepresented in STEM. - Victoria Jay; Genevieve M. Henricks; Carolyn J. Anderson; Lawrence Angrave; Nigel Bosch; Najmuddin Shaik; Destiny Williams-Dobosz; Suma Bhat; Michelle Perry (ICLS, 2020)

The relationship between confusion and metacognitive strategies in Betty's Brain. - Yingbin Zhang; Luc Paquette; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch; Anabil Munshi; Gautam Biswas (LAK, 2020)

Automating Procedurally Fair Feature Selection in Machine Learning. - Clara Belitz; Lan Jiang; Nigel Bosch (AIES, 2021)

Students' Verbalized Metacognition During Computerized Learning. - Nigel Bosch; Yingbin Zhang; Luc Paquette; Ryan Baker 001; Jaclyn Ocumpaugh; Gautam Biswas (CHI, 2021)

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Anabil Munshi; Nigel Bosch; Ryan S. Baker 001; Yingbin Zhang; Luc Paquette; Stefan Slater; Gautam Biswas (CogSci, 2021)

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Nigel Bosch; Luc Paquette; Gautam Biswas; Ryan Baker 001 (EDM, 2021)

Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks. - Lan Jiang; Nigel Bosch (EDM, 2021)

Promoting Self-regulated Learning in Online Learning by Triggering Tailored Interventions. - Haejin Lee; Paul Hur; Suma Bhat; Nigel Bosch (EDM (Workshops), 2021)

A Social Network Analysis of Online Engagement for College Students Traditionally Underrepresented in STEM. - Destiny Williams-Dobosz; Renato Ferreira Leitão Azevedo; Amos Jeng; Vyom Nayan Thakkar; Suma Bhat; Nigel Bosch; Michelle Perry (LAK, 2021)

Identifying supportive student factors for mindset interventions: A two-model machine learning approach. - Nigel Bosch (Comput. Educ., 2021)

Automatic Detection of Mind Wandering from Video in the Lab and in the Classroom. - Nigel Bosch; Sidney K. D'Mello (IEEE Trans. Affect. Comput., 2021)

Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. - Yingbin Zhang; Luc Paquette; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch; Gautam Biswas; Anabil Munshi (J. Learn. Anal., 2021)

Using Machine Learning Explainability Methods to Personalize Interventions for Students. - Paul Hur; Haejin Lee; Suma Bhat; Nigel Bosch (EDM, 2022)

Mining and Assessing Anomalies in Students' Online Learning Activities with Self-supervised Machine Learning. - Lan Jiang; Nigel Bosch (EDM, 2022)

Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results. - Frank Stinar; Nigel Bosch (EDM, 2022)

Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation. - James Prather; Lauren E. Margulieux; Jacqueline Whalley; Paul Denny 001; Brent N. Reeves; Brett A. Becker; Paramvir Singh; Garrett B. Powell; Nigel Bosch (ICER (1), 2022)

Tracking Individuals in Classroom Videos via Post-processing OpenPose Data. - Paul Hur; Nigel Bosch (LAK, 2022)

Novice Reflections During the Transition to a New Programming Language. - Paul Denny 001; Brett A. Becker; Nigel Bosch; James Prather; Brent N. Reeves; Jacqueline Whalley (SIGCSE (1), 2022)

Can Computers Outperform Humans in Detecting User Zone-Outs? Implications for Intelligent Interfaces. - Nigel Bosch; Sidney K. D'Mello (ACM Trans. Comput. Hum. Interact., 2022)

Informing Expert Feature Engineering through Automated Approaches: Implications for Coding Qualitative Classroom Video Data. - Paul Hur; Nessrine Machaka; Christina Krist; Nigel Bosch (LAK, 2023)

Sense of belonging predicts perceived helpfulness in online peer help-giving interactions. - Amos Jeng; Nigel Bosch; Michelle Perry (Internet High. Educ., 2023)

Constructing categories: Moving beyond protected classes in algorithmic fairness. - Clara Belitz; Jaclyn Ocumpaugh; Steven Ritter 001; Ryan S. Baker 001; Stephen E. Fancsali; Nigel Bosch (J. Assoc. Inf. Sci. Technol., 2023)

Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review. - Brandon M. Booth; Nigel Bosch; Sidney K. D'Mello (Proc. IEEE, 2023)

Direct and indirect ways of being helpful in online peer help-giving interactions. - Amos Jeng; Destiny Williams-Dobosz; Nigel Bosch; Michelle Perry (Comput. Educ., 2023)

Intrinsically Interpretable Artificial Neural Networks for Learner Modeling. - Juan D. Pinto; Luc Paquette; Nigel Bosch (EDM, 2024)

Training a Geographic Entity Recognizer on Biomedical Abstracts with the Aid of Embeddings, Metadata, and Linked Data. - Xiaoliang Jiang; Nigel Bosch; Vetle I. Torvik (JCDL, 2024)

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Steven Ritter 001; Husni Almoubayyed; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (LAK, 2024)

Synthetic Dataset Generation for Fairer Unfairness Research. - Lan Jiang; Clara Belitz; Nigel Bosch (LAK, 2024)

Short answer scoring with GPT-4. - Lan Jiang; Nigel Bosch (L@S, 2024)

Can Students Understand AI Decisions Based on Variables Extracted via AutoML? - Liang Tang; Nigel Bosch (SMC, 2024)

On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem. - Ryan S. Baker 001; Nigel Bosch; Stephen Hutt; Andres Felipe Zambrano; Alex J. Bowers (CoRR, 2024)

Artificial Intelligence, Social Responsibility, and the Roles of the University. - Michael C. Loui; Nigel Bosch; Anita Say Chan; Jenny L. Davis; Rochelle Gutiérrez; Jingrui He; Karrie Karahalios; Sanmi Koyejo; Ruby Mendenhall; Madelyn Rose Sanfilippo; Hanghang Tong; Lav R. Varshney; et al. (Commun. ACM, 2024)

Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Frank Stinar; Husni Almoubayyed; Steven Ritter 001; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (AIED (5), 2025)

Surveying Contextualized Student Data Sharing Preferences for Educational AI. - Frank Stinar; Nigel Bosch (AIED (2), 2025)

Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes. - Haejin Lee; Frank Stinar; Ruohan Zong; Hannah Valdiviejas; Dong Wang 002; Nigel Bosch (CHI, 2025)

Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. - Frank Stinar; Haejin Lee; Clara Belitz; Nidhi Nasiar; Stephen Fancsali; Steve Ritter 001; Husni Almoubayyed; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (EDM, 2025)

Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance. - Liang Tang; Nigel Bosch (EDM, 2025)

XAI Reveals the Causes of Attention Deficit Hyperactivity Disorder (ADHD) Bias in Student Performance Prediction. - Haejin Lee; Clara Belitz; Nidhi Nasiar; Nigel Bosch (LAK, 2025)