Nigel Bosch

Orcid: 0000-0003-2736-2899

According to our database1, Nigel Bosch authored at least 76 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Synthetic Dataset Generation for Fairer Unfairness Research.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023
Direct and indirect ways of being helpful in online peer help-giving interactions.
Comput. Educ., November, 2023

Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review.
Proc. IEEE, October, 2023

Constructing categories: Moving beyond protected classes in algorithmic fairness.
J. Assoc. Inf. Sci. Technol., June, 2023

Sense of belonging predicts perceived helpfulness in online peer help-giving interactions.
Internet High. Educ., 2023

Informing Expert Feature Engineering through Automated Approaches: Implications for Coding Qualitative Classroom Video Data.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

2022
Can Computers Outperform Humans in Detecting User Zone-Outs? Implications for Intelligent Interfaces.
ACM Trans. Comput. Hum. Interact., 2022

Novice Reflections During the Transition to a New Programming Language.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Tracking Individuals in Classroom Videos via Post-processing OpenPose Data.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation.
Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Mining and Assessing Anomalies in Students' Online Learning Activities with Self-supervised Machine Learning.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Using Machine Learning Explainability Methods to Personalize Interventions for Students.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain.
J. Learn. Anal., October, 2021

Automatic Detection of Mind Wandering from Video in the Lab and in the Classroom.
IEEE Trans. Affect. Comput., 2021

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

A Social Network Analysis of Online Engagement for College Students Traditionally Underrepresented in STEM.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Promoting Self-regulated Learning in Online Learning by Triggering Tailored Interventions.
Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations.
Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Students' Verbalized Metacognition During Computerized Learning.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Automating Procedurally Fair Feature Selection in Machine Learning.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
The relationship between confusion and metacognitive strategies in Betty's Brain.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Online Discussion Forum Help-Seeking Behaviors of Students Underrepresented in STEM.
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Advancing Computational Grounded Theory for Audiovisual Data from Mathematics Classrooms.
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation.
Proceedings of the AMIA 2020, 2020

The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Automated gaze-based mind wandering detection during computerized learning in classrooms.
User Model. User Adapt. Interact., 2019

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

Disengagement during lectures: Media multitasking and mind wandering in university classrooms.
Comput. Educ., 2019

Modeling Improvement for Underrepresented Minorities in Online STEM Education.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Affect Sequences and Learning in Betty's Brain.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Reducing Mind-Wandering During Vicarious Learning from an Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

I'm Sure! Automatic Detection of Metacognition in Online Course Discussion Forums.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases.
J. Learn. Anal., August, 2018

Refocusing the lens on engagement in MOOCs.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Matching Data-Driven Models of Group Interactions to Video Analysis of Collaborative Problem Solving on Tablet Computers.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Who they are and what they want: Understanding the reasons for MOOC enrollment.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Modeling Key Differences in Underrepresented Students' Interactions with an Online STEM Course.
Proceedings of the Technology, Mind, and Society Conference, 2018

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Quantifying Classroom Instructor Dynamics with Computer Vision.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Multimodal-multisensor affect detection.
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018

2017
Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate.
IEEE Trans. Affect. Comput., 2017

The Affective Experience of Novice Computer Programmers.
Int. J. Artif. Intell. Educ., 2017

"Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Generalizability of Face-Based Mind Wandering Detection Across Task Contexts.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Zone out no more: Mitigating mind wandering during computerized reading.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Face Forward: Detecting Mind Wandering from Video During Narrative Film Comprehension.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms.
ACM Trans. Interact. Intell. Syst., 2016

Where's Your Mind At?: Video-Based Mind Wandering Detection During Film Viewing.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Detecting Student Engagement: Human Versus Machine.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Detecting Student Emotions in Computer-Enabled Classrooms.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Student Emotion, Co-occurrence, and Dropout in a MOOC Context.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Attending to Attention: Detecting and Combating Mind Wandering during Computerized Reading.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game.
Comput. Educ., 2015

Automatic Detection of Learning-Centered Affective States in the Wild.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Multimodal Affect Detection in the Wild: Accuracy, Availability, and Generalizability.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Video-Based Affect Detection in Noninteractive Learning Environments.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Mind Wandering During Learning with an Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Temporal Generalizability of Face-Based Affect Detection in Noisy Classroom Environments.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014
To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patterns.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

It Takes Two: Momentary Co-occurrence of Affective States during Computerized Learning.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

It's Written on Your Face: Detecting Affective States from Facial Expressions while Learning Computer Programming.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Improving automated source code summarization via an eye-tracking study of programmers.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
What Makes Learning Fun? Exploring the Influence of Choice and Difficulty on Mind Wandering and Engagement during Learning.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

What Emotions Do Novices Experience during Their First Computer Programming Learning Session?
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Sequential Patterns of Affective States of Novice Programmers.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Programming with Your Heart on Your Sleeve: Analyzing the Affective States of Computer Programming Students.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013


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