Anthony Botelho

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Developing Explainable AI Systems to Support Feedback for Students.

[BibT_eX]

[DOI]

Hongming Li

Proceedings of the 17th International Conference on Educational Data Mining, 2024

The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in Math.

[BibT_eX]

[DOI]

Seiyon M. Lee

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Be back in 5 minutes: Exploring correlations between short breaks with student performance.

[BibT_eX]

[DOI]

Yu-Chia Kao

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Causal Inference in Educational Data Mining.

[BibT_eX]

[DOI]

Avery Harrison Closser

Adam C. Sales

Kirk P. Vanacore

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics.

[BibT_eX]

[DOI]

Sami Baral

John A. Erickson

Priyanka Benachamardi

J. Comput. Assist. Learn., June, 2023

Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers?

[BibT_eX]

[DOI]

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Knowledge Tracing Over Time: A Longitudinal Analysis.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Auto-scoring Student Responses with Images in Mathematics.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing.

[BibT_eX]

[DOI]

Guher Gorgun

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

Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages.

[BibT_eX]

[DOI]

2022

Blending learning analytics and embodied design to model students' comprehension of measurement using their actions, speech, and gestures.

[BibT_eX]

[DOI]

Avery Harrison Closser

Int. J. Child Comput. Interact., 2022

Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring.

[BibT_eX]

[DOI]

Raysa Rivera-Bergollo

Sami Baral

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts.

[BibT_eX]

[DOI]

Ethan Prihar

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Toward Personalizing Students' Education with Crowdsourced Tutoring.

[BibT_eX]

[DOI]

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Using Past Data to Warm Start Active Machine Learning: Does Context Matter?

[BibT_eX]

[DOI]

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Examining Student Effort on Help through Response Time Decomposition.

[BibT_eX]

[DOI]

Ashish Gurung

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Is It Fair? Automated Open Response Grading.

[BibT_eX]

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Improving Automated Scoring of Student Open Responses in Mathematics.

[BibT_eX]

Sami Baral

John A. Erickson

Priyanka Benachamardi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

State vs. Trait: Examining Gaming the System in the Context of Math Perception Tasks.

[BibT_eX]

[DOI]

Jenny Yun-Chen Chan

Cindy Trac

Avery Harrison Closser

Hannah Smith

Kathryn C. Drzewiecki

Erin Ottmar

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

The automated grading of student open responses in mathematics.

[BibT_eX]

[DOI]

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

For Good Measure: Identifying Student Measurement Estimation Strategies Through Actions, Language, and Gesture.

[BibT_eX]

[DOI]

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2019

Refusing to Try: Characterizing Early Stopout on Student Assignments.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect.

[BibT_eX]

[DOI]

Ryan S. Baker

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Using Big Data to Sharpen Design-Based Inference in A/B Tests.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Educational Data Mining, 2018

Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

A Memory-Augmented Neural Model for Automated Grading.

[BibT_eX]

[DOI]

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Incorporating Rich Features into Deep Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees.

[BibT_eX]

[DOI]

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Sequencing content in an adaptive testing system: the role of choice.

[BibT_eX]

[DOI]

Seth Akonor Adjei

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Improving Sensor-Free Affect Detection Using Deep Learning.

[BibT_eX]

[DOI]

Ryan S. Baker

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures.

[BibT_eX]

[DOI]

Seth Akonor Adjei

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Discovering 'Tough Love' Interventions Despite Dropout.

[BibT_eX]

[DOI]

Joseph Jay Williams