Jaclyn Ocumpaugh

Orcid: 0000-0002-9667-8523

Affiliations:
  • University of Pennsylvania, Philadelphia, PA, USA


According to our database1, Jaclyn Ocumpaugh authored at least 66 papers between 2012 and 2024.

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Bibliography

2024
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Exploring Confusion and Frustration as Non-linear Dynamical Systems.
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
Constructing categories: Moving beyond protected classes in algorithmic fairness.
J. Assoc. Inf. Sci. Technol., June, 2023

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours.
J. Comput. Assist. Learn., April, 2023

A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning.
IEEE Trans. Affect. Comput., 2023

Cracking the Code of Learning Gains: Using Ordered Network Analysis to Understand the Influence of Prior Knowledge.
Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology.
Int. J. Artif. Intell. Educ., 2022

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Investigating Student Interest and Engagement in Game-Based Learning Environments.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

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

How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews.
Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 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

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

Affect-Targeted Interviews for Understanding Student Frustration.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students.
J. Learn. Anal., March, 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

Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Affective Sequences and Student Actions Within Reasoning Mind.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis.
Proceedings of the 2nd Conference on Language, Data and Knowledge, 2019

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

Ibigkas! 2.0: Directions for the Design of an Adaptive Mobile-Assisted Language Learning App.
Proceedings of the Adaptive Instructional Systems, 2019

The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

The Case of Self-transitions in Affective Dynamics.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Student online behaviors: correlations to math identity.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors.
Proceedings of the 11th International Conference on Educational Data Mining, 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

2017
Guidance counselor reports of the ASSISTments college prediction model (ACPM).
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

Using natural language processing tools to develop complex models of student engagement.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

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

Towards general models of effective science inquiry in virtual performance assessments.
J. Comput. Assist. Learn., 2016

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

Semantic Features of Math Problems: Relationships to Student Learning and Engagement.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Hint Availability Slows Completion Times in Summer Work.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

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

Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

HART: the human affect recording tool.
Proceedings of the 33rd Annual International Conference on the Design of Communication, 2015

Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system?
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

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

Simulating Multi-Subject Momentary Time Sampling.
Proceedings of the 8th International Conference on Educational Data Mining, 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

La Mort du Chercheur: How Well do Students' Subjective Understandings of Affective Representations Used in Self- Report Align with One Another's and Researchers'?
Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

Improving Engagement in an E-Learning Environment.
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
Population validity for educational data mining models: A case study in affect detection.
Br. J. Educ. Technol., 2014

Modifying Field Observation Methods on the Fly: Creative Metanarrative and Disgust in an Environmental MUVE.
Proceedings of the Posters, 2014

Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Reengineering the Feature Distillation Process: A case study in detection of Gaming the System.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Cost-Effective, Actionable Engagement Detection at Scale.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Sequences of Frustration and Confusion, and Learning.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Field Observations of Engagement in Reasoning Mind.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Towards Automatically Detecting Whether Student Learning Is Shallow.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Sensor-free automated detection of affect in a Cognitive Tutor for Algebra.
Proceedings of the 5th International Conference on Educational Data Mining, 2012


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