Andrew S. Lan

Digory Smith

Simon Woodhead

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

SyllabusQA: A Course Logistics Question Answering Dataset.

[BibT_eX]

[DOI]

Nigel Fernandez

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions.

[BibT_eX]

[DOI]

Mengxue Zhang

Neil T. Heffernan

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

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing.

[BibT_eX]

[DOI]

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

Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank.

[BibT_eX]

[DOI]

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Intelligent Textbooks: The Fifth International Workshop.

[BibT_eX]

[DOI]

Sergey A. Sosnovsky

Peter Brusilovsky

Algebra Error Classification with Large Language Models.

[BibT_eX]

[DOI]

Hunter McNichols

Mengxue Zhang

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Balancing Test Accuracy and Security in Computerized Adaptive Testing.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues.

[BibT_eX]

[DOI]

Jaewook Lee

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Interpretable Math Word Problem Solution Generation via Step-by-step Planning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Tree-Based Representation and Generation of Natural and Mathematical Language.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Active Learning for a Classroom Observer who Can't Time Travel.

[BibT_eX]

[DOI]

Andres Felipe Zambrano

Ryan S. Baker

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

DiFA: Differentiable Feature Acquisition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.

[BibT_eX]

[DOI]

Yun-Wei Chu

Seyyedali Hosseinalipour

CoRR, 2022

Open-Ended Knowledge Tracing.

[BibT_eX]

[DOI]

CoRR, 2022

Open-ended Knowledge Tracing for Computer Science Education.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automatic Short Math Answer Grading via In-context Meta-learning.

[BibT_eX]

[DOI]

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

Process-BERT: A Framework for Representation Learning on Educational Process Data.

[BibT_eX]

[DOI]

Christopher Brinton

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

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.

[BibT_eX]

[DOI]

Yun-Wei Chu

Seyyedali Hosseinalipour

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Intelligent Textbooks: Themes and Topics.

[BibT_eX]

[DOI]

Sergey A. Sosnovsky

Peter Brusilovsky

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Automated Scoring for Reading Comprehension via In-context BERT Tuning.

[BibT_eX]

[DOI]

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

DiPS: Differentiable Policy for Sketching in Recommender Systems.

[BibT_eX]

[DOI]

Saayan Mitra

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Personalized Education in the Artificial Intelligence Era: What to Expect Next.

[BibT_eX]

[DOI]

Setareh Maghsudi

Jie Xu

Mihaela van der Schaar

IEEE Signal Process. Mag., 2021

MetaSense: Boosting RF Sensing Accuracy Using Dynamic Metasurface Antenna.

[BibT_eX]

[DOI]

Guohao Lan

Mohammadreza F. Imani

IEEE Internet Things J., 2021

Personalized Education in the AI Era: What to Expect Next?

[BibT_eX]

[DOI]

Setareh Maghsudi

Jie Xu

Mihaela van der Schaar

CoRR, 2021

Learning Student Interest Trajectory for MOOCThread Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Do We Really Need Gold Samples for Sample Weighting under Label Noise?

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Linguistic Skill Modeling for Second Language Acquisition.

[BibT_eX]

[DOI]

Brian Zylich

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

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints.

[BibT_eX]

[DOI]

Zichao Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Math Operation Embeddings for Open-ended Solution Analysis and Feedback.

[BibT_eX]

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

Contrastive Learning Improves Model Robustness Under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Scientific Formula Retrieval via Tree Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing.

[BibT_eX]

[DOI]

Jay Raspat

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Mathematical Formula Representation via Tree Embeddings.

[BibT_eX]

[DOI]

Zichao Wang

Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

2020

Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Highlights as an Early Predictor of Student Comprehension and Interests.

[BibT_eX]

[DOI]

Adam Winchell

Michael Mozer

Cogn. Sci., 2020

Context-Aware Attentive Knowledge Tracing.

[BibT_eX]

[DOI]

Neil T. Heffernan

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning Student Interest Trajectory for MOOC Thread Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.

[BibT_eX]

[DOI]

Richard Junior Bustamante

Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

qDKT: Question-centric Deep Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Educational Data Mining, 2020

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Educational Data Mining, 2020

MSE-Optimal Neural Network Initialization via Layer Fusion.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

Skill-based Career Path Modeling and Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Exploring Automated Question Answering Methods for Teaching Assistance.

[BibT_eX]

[DOI]

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

2019

Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Predicting the Timing and Quality of Responses in Online Discussion Forums.

[BibT_eX]

[DOI]

Patrick Hansen

Elizabeth Tenorio

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Adaptive Remediation with Multi-modal Content.

[BibT_eX]

[DOI]

Yuwei Tu

Proceedings of the Adaptive Instructional Systems, 2019

Active Learning for Student Affect Detection.

[BibT_eX]

[DOI]

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

A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading.

[BibT_eX]

[DOI]

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

Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.

[BibT_eX]

[DOI]

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

Grade Prediction with Neural Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

IdeoTrace: a framework for ideology tracing with a case study on the 2016 U.S. presidential election.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

On the Efficiency of Online Social Learning Networks.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2018

Insense: Incoherent sensor selection for sparse signals.

[BibT_eX]

[DOI]

Signal Process., 2018

Personalized Thread Recommendation for MOOC Discussion Forums.

[BibT_eX]

[DOI]

Jonathan C. Spencer

Ziqi Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

QG-net: a data-driven question generation model for educational content.

[BibT_eX]

[DOI]

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

An Estimation and Analysis Framework for the Rasch Model.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Linear Spectral Estimators and an Application to Phase Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Textbook annotations as an early predictor of student learning.

[BibT_eX]

[DOI]

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

Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams.

[BibT_eX]

[DOI]

Weiyu Chen

Da Cao

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

Linearized binary regression.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

PhaseLin: Linear phase retrieval.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

Learning Informative and Private Representations via Generative Adversarial Networks.

[BibT_eX]

[DOI]

Prateek Mittal

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Learner Behavioral Feature Refinement and Augmentation Using GANs.

[BibT_eX]

[DOI]

Da Cao

Weiyu Chen

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

BLAh: Boolean Logic Analysis for Graded Student Response Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2017

Data-Mining Textual Responses to Uncover Misconception Patterns.

[BibT_eX]

[DOI]

Joshua J. Michalenko

CoRR, 2017

D.TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns.

[BibT_eX]

[DOI]

Joshua J. Michalenko

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

RHash: Robust Hashing via L_infinity-norm Distortion.

[BibT_eX]

[DOI]

Amirali Aghazadeh

Anshumali Shrivastava

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Contextual multi-armed bandit algorithms for personalized learning action selection.

[BibT_eX]

[DOI]

Indu Manickam

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning.

[BibT_eX]

[DOI]

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

A Latent Factor Model For Instructor Content Preference Analysis.

[BibT_eX]

[DOI]

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

Data-Mining Textual Responses to Uncover Misconception Patterns.

[BibT_eX]

[DOI]

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

Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks.

[BibT_eX]

[DOI]

Joshua J. Michalenko

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

Behavior-Based Latent Variable Model for Learner Engagement.

[BibT_eX]

[DOI]

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

2016

Near-Isometric Binary Hashing for Large-scale Datasets.

[BibT_eX]

[DOI]

Amirali Aghazadeh

Anshumali Shrivastava

CoRR, 2016

Dealbreaker: A Nonlinear Latent Variable Model for Educational Data.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

A Contextual Bandits Framework for Personalized Learning Action Selection.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Optimal ranking of test items using the Rasch model.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions.

[BibT_eX]

[DOI]

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

2014

Sparse factor analysis for learning and content analytics.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Time-varying learning and content analytics via sparse factor analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Matrix recovery from quantized and corrupted measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Quantized Matrix Completion for Personalized Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

Sparse probit factor analysis for learning analytics.

[BibT_eX]

[DOI]

Andrew E. Waters