Nigel Bosch
Orcid: 0000-0003-2736-2899
According to our database1,
Nigel Bosch
authored at least 80 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Commun. ACM, August, 2024
CoRR, 2024
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the 17th International Conference on Educational Data Mining, 2024
2023
Comput. Educ., November, 2023
Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review.
Proc. IEEE, October, 2023
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
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
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
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 43rd Annual Meeting of the Cognitive Science Society, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
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
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019
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
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
2018
J. Learn. Anal., August, 2018
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
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
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
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
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
Proceedings of the 10th International Conference on Educational Data Mining, 2017
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
ACM Trans. Interact. Intell. Syst., 2016
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
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
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015
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
Proceedings of the 8th International Conference on Educational Data Mining, 2015
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
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