Neil T. Heffernan

Eamon Worden

Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers.

[BibT_eX]

[DOI]

2023

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

[BibT_eX]

[DOI]

Anthony Botelho

Sami Baral

John A. Erickson

Priyanka Benachamardi

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

A Bandit You Can Trust.

[BibT_eX]

[DOI]

Adam Sales

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Investigating the Impact of Skill-Related Videos on Online Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research.

[BibT_eX]

[DOI]

Debshila Basu Mallick

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions.

[BibT_eX]

[DOI]

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

How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Mengxue Zhang

Andrew S. Lan

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

Effective Evaluation of Online Learning Interventions with Surrogate Measures.

[BibT_eX]

[DOI]

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

Knowledge Tracing Over Time: A Longitudinal Analysis.

[BibT_eX]

[DOI]

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

How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community.

[BibT_eX]

[DOI]

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

How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference.

[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

Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models.

[BibT_eX]

[DOI]

How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community.

[BibT_eX]

[DOI]

Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

2022

Achieving User-Side Fairness in Contextual Bandits.

[BibT_eX]

[DOI]

Hum. Centric Intell. Syst., September, 2022

ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge.

[BibT_eX]

[DOI]

Li Cheng

Dataset, July, 2022

Does automated reassesment & relearning improve math performance in comparison to traditional computer adaptive practice alone?

[BibT_eX]

[DOI]

Renah Razzaq

Manuel Gonsalves

Dataset, March, 2022

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research.

[BibT_eX]

[DOI]

Debshila Basu Mallick

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Automatic Interpretable Personalized Learning.

[BibT_eX]

[DOI]

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Human-Centered Learning Engineering for the Emerging Intelligence Augmentation Economy.

[BibT_eX]

[DOI]

Jim Goodell

Proceedings of the HCI International 2022 - Late Breaking Posters, 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

Causal Inference in Educational Data Mining.

[BibT_eX]

[DOI]

Adam Sales

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

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

[BibT_eX]

[DOI]

Raysa Rivera-Bergollo

Sami Baral

Anthony Botelho

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

Exploring Common Trends in Online Educational Experiments.

[BibT_eX]

[DOI]

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

Identifying Explanations Within Student-Tutor Chat Logs.

[BibT_eX]

[DOI]

Alexander Moore

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

Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms.

[BibT_eX]

[DOI]

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

More Powerful A/B Testing Using Auxiliary Data and Deep Learning.

[BibT_eX]

[DOI]

Adam Sales

Johann Gagnon-Bartsch

Ashish Gurung

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

Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms.

[BibT_eX]

[DOI]

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

Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems.

[BibT_eX]

[DOI]

Ashish Gurung

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

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

[BibT_eX]

[DOI]

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

Reinforcement Learning for Education: Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 2021

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education.

[BibT_eX]

[DOI]

CoRR, 2021

Classifying Math KCs via Task-Adaptive Pre-Trained BERT.

[BibT_eX]

[DOI]

CoRR, 2021

Second Workshop on Educational A/B Testing at Scale.

[BibT_eX]

[DOI]

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

Estimating the Intelligent Tutor Effects on Specific Posttest Problems.

[BibT_eX]

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

A Novel Algorithm for Aggregating Crowdsourced Opinions.

[BibT_eX]

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

Fairness-aware Bandit-based Recommendation.

[BibT_eX]

[DOI]

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

Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.

[BibT_eX]

[DOI]

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

Identifying Struggling Students by Comparing Online Tutor Clickstreams.

[BibT_eX]

[DOI]

Alexander Moore

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

2020

Workshop Proposal: Educational A/B Testing at Scale.

[BibT_eX]

[DOI]

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms.

[BibT_eX]

[DOI]

Thanaporn Patikorn

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 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

Recent Advances in Multimodal Educational Data Mining in K-12 Education.

[BibT_eX]

[DOI]

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

Context-Aware Attentive Knowledge Tracing.

[BibT_eX]

[DOI]

Aritra Ghosh

Andrew S. Lan

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

Effect of Immediate Feedback on Math Achievement at the High School Level.

[BibT_eX]

[DOI]

Renah Razzaq

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

2019

Refusing to Try: Characterizing Early Stopout on Student Assignments.

[BibT_eX]

[DOI]

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

Active Learning for Student Affect Detection.

[BibT_eX]

[DOI]

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

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

Understanding the Complexities of Chinese Word Acquisition within an Online Learning Platform.

[BibT_eX]

[DOI]

Xiwen Lu

Proceedings of the 11th International Conference on Computer Supported Education, 2019

Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing.

[BibT_eX]

[DOI]

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Using Design Patterns for Math Preservice Teacher Education.

[BibT_eX]

[DOI]

Sharris Gayle Francisco Inventado

Proceedings of the 23rd European Conference on Pattern Languages of Programs, 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

Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments.

[BibT_eX]

[DOI]

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

2017

How Flexible Is Your Data? A Comparative Analysis of Scoring Methodologies across Learning Platforms in the Context of Group Differentiation.

[BibT_eX]

[DOI]

Yan Wang

J. Learn. Anal., July, 2017

An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance.

[BibT_eX]

[DOI]

Technol. Knowl. Learn., 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

Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale.

[BibT_eX]

[DOI]

Xiwen Lu

Xiaolu Xiong

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

Using correlational topic modeling for automated topic identification in intelligent tutoring systems.

[BibT_eX]

[DOI]

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

Guidance counselor reports of the ASSISTments college prediction model (ACPM).

[BibT_eX]

[DOI]

Jaclyn Ocumpaugh

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 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

Feedback Design Patterns for Math Online Learning Systems.

[BibT_eX]

[DOI]

Peter Scupelli

Cristina Heffernan

Proceedings of the 22nd European Conference on Pattern Languages of Programs, 2017

Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks.

[BibT_eX]

[DOI]

Siyuan Zhao

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

Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects.

[BibT_eX]

[DOI]

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

An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect.

[BibT_eX]

[DOI]

Thanaporn Patikorn

Jian Zou

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

Modeling Wheel-spinning and Productive Persistence in Skill Builders.

[BibT_eX]

[DOI]

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

Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization.

[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]

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

Using natural language processing tools to develop complex models of student engagement.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

The Future of Adaptive Learning: Does the Crowd Hold the Key?

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2016

AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

The Opportunity Count Model: A Flexible Approach to Modeling Student Performance.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

ASSISTments Dataset from Multiple Randomized Controlled Experiments.

[BibT_eX]

[DOI]

Douglas Selent

Thanaporn Patikorn

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Studying Learning at Scale with the ASSISTments TestBed.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Optimizing the Amount of Practice in an On-Line Platform.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Enhancing the efficiency and reliability of group differentiation through partial credit.

[BibT_eX]

[DOI]

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

The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment.

[BibT_eX]

[DOI]

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

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

Semantic Features of Math Problems: Relationships to Student Learning and Engagement.

[BibT_eX]

[DOI]

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

Hint Availability Slows Completion Times in Summer Work.

[BibT_eX]

[DOI]

Neil Thomas Heffernan III

Peter Scupelli

Eric Van Inwegen

Korinn Ostrow

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

Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships.

[BibT_eX]

[DOI]

Seth Adjei

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

2015

Using and Designing Platforms for In Vivo Education Experiments.

[BibT_eX]

[DOI]

CoRR, 2015

The Utility of Clustering in Prediction Tasks.

[BibT_eX]

[DOI]

Shubhendu Trivedi

CoRR, 2015

A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons.

[BibT_eX]

[DOI]

Joseph Jay Williams

Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Using and Designing Platforms for In Vivo Educational Experiments.

[BibT_eX]

[DOI]

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

Improving Student Modeling Through Partial Credit and Problem Difficulty.

[BibT_eX]

[DOI]

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

The Prediction of Student First Response Using Prerequisite Skills.

[BibT_eX]

[DOI]

Anthony Botelho

Hao Wan

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

Towards better affect detectors: effect of missing skills, class features and common wrong answers.

[BibT_eX]

[DOI]

Cristina Heffernan

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system?

[BibT_eX]

[DOI]

Ryan Shaun Baker

Jaclyn Ocumpaugh

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

An analysis of the impact of action order on future performance: the fine-grain action model.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement.

[BibT_eX]

[DOI]

Maria Ofelia San Pedro

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Optimizing Partial Credit Algorithms to Predict Student Performance.

[BibT_eX]

[DOI]

Korinn Ostrow

Christopher Donnelly

Francisco Enrique Vicente Castro

Proceedings of the 8th International Conference on Educational Data Mining, 2015

The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

The Effect of the Distribution of Predictions of User Models.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Using Partial Credit and Response History to Model User Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Building Models to Predict Hint-or-Attempt Actions of Students.

[BibT_eX]

[DOI]

Seth Adjei

Tyler Colombo

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Predicting Student Aptitude Using Performance History.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Grand Challenges for EDM and Related Research Areas.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Connecting Collaborative & Crowd Work with Online Education.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

When More Intelligent Tutoring in the Form of Buggy Messages Does not Help.

[BibT_eX]

[DOI]

Douglas Selent

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

The Role of Student Choice Within Adaptive Tutoring.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Developing Self-regulated Learners Through an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Learning, Moment-by-Moment and Over the Long Term.

[BibT_eX]

[DOI]

Yang Jiang

Luc Paquette

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Improving Learning Maps Using an Adaptive Testing System: PLACEments.

[BibT_eX]

[DOI]

Seth Akonor Adjei

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.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., 2014

The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2014

The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Reducing Student Hint Use by Creating Buggy Messages from Machine Learned Incorrect Processes.

[BibT_eX]

[DOI]

Douglas Selent

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities.

[BibT_eX]

[DOI]

William J. Hawkins

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate?

[BibT_eX]

[DOI]

Junjie Gu

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Using Analytics for Improving Implementation Fidelity in an Large Scale Efficacy Trial.

[BibT_eX]

[DOI]

Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014

The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints.

[BibT_eX]

[DOI]

Linglong Zhu

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Improving Retention Performance Prediction with Prerequisite Skill Features.

[BibT_eX]

[DOI]

Xiaolu Xiong

Seth Adjei

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

Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software.

[BibT_eX]

[DOI]

Maria Ofelia San Pedro

Jaclyn Ocumpaugh

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

Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments.

[BibT_eX]

[DOI]

Korinn Ostrow

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

Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing.

[BibT_eX]

[DOI]

William J. Hawkins

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps.

[BibT_eX]

[DOI]

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

2013

Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Added Teacher-Created Motiational Video to an ITS.

[BibT_eX]

[DOI]

Amber Chauncey Strain

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Does Immediate Feedback While Doing Homework Improve Learning?

[BibT_eX]

[DOI]

Paul Kehrer

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School.

[BibT_eX]

[DOI]

Ryan Shaun Baker

Alex J. Bowers

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Using ITS Generated Data to Predict Standardized Test Scores.

[BibT_eX]

[DOI]

Ivon Arroyo

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Extending the Assistance Model: Analyzing the Use of Assistance over Time.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint".

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Do students really learn an equal amount independent of whether they get an item correct or wrong?

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

A Comparison of Two Different Methods to Individualize Students and Skills.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Sujith M. Gowda

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Estimating the Effect of Web-Based Homework.

[BibT_eX]

[DOI]

Deena Soffer Goldstein

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)?

[BibT_eX]

[DOI]

William J. Hawkins

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

The Student Skill Model.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Clustered Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Towards Data Driven Model Improvement.

[BibT_eX]

[DOI]

Yumeng Qiu

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Tutor Modeling Versus Student Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Leveraging First Response Time into the Knowledge Tracing Model.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Educational Data Mining, 2012

Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011

The sum is greater than the parts: ensembling models of student knowledge in educational software.

[BibT_eX]

[DOI]

Sujith M. Gowda

SIGKDD Explor., 2011

Learning What Works in its from Non-Traditional Randomized Controlled Trial Data.

[BibT_eX]

[DOI]

Matthew D. Dailey

Int. J. Artif. Intell. Educ., 2011

How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2011

Detecting Learning Moment-by-Moment.

[BibT_eX]

[DOI]

Adam B. Goldstein

Int. J. Artif. Intell. Educ., 2011

KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaption and Personalization, 2011

Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaption and Personalization, 2011

The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Spectral Clustering in Educational Data Mining.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Sujith M. Gowda

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data.

[BibT_eX]

[DOI]

Bahador B. Nooraei

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions.

[BibT_eX]

[DOI]

Shubhendu Trivedi

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Feedback during Web-Based Homework: The Role of Hints.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Automatic Physical Database Tuning Middleware for Web-Based Applications.

[BibT_eX]

[DOI]

Jozsef Patvarczki

Proceedings of the Advances in Databases and Information Systems, 2011

2010

Open Content Authoring Tools.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Tutoring Systems, 2010

Ethical issues in Computer-Assisted Language Learning: Perceptions of teachers and learners.

[BibT_eX]

[DOI]

Shudong Wang

Br. J. Educ. Technol., 2010

Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, 2010

Hints: Is It Better to Give or Wait to Be Asked?

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties.

[BibT_eX]

[DOI]

Dovan Rai

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Coordinate Geometry Learning Environment with Game-Like Properties.

[BibT_eX]

[DOI]

Dovan Rai

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

The Fine-Grained Impact of Gaming (?) on Learning.

[BibT_eX]

[DOI]

Elijah Forbes-Summers

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Using Data Mining Findings to Aid Searching for Better Cognitive Models.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Can We Get Better Assessment from a Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning during the Test)?

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Detecting the Moment of Learning.

[BibT_eX]

[DOI]

Adam B. Goldstein

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Representing Student Performance with Partial Credit.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2010, 2010

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2010, 2010

Using multiple Dirichlet distributions to improve parameter plausibility.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2010, 2010

Pinpointing Learning Moments; A finer grain P(J) model.

[BibT_eX]

[DOI]

Adam B. Goldstein

Proceedings of the Educational Data Mining 2010, 2010

2009

Addressing the assessment challenge with an online system that tutors as it assesses.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2009

The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2009

Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Murali Mani

IEEE Trans. Learn. Technol., 2009

Determining the Significance of Item Order In Randomized Problem Sets.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining, 2009

Does Self-Discipline impact students' knowledge and learning?.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining, 2009

Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning.

[BibT_eX]

[DOI]

Joseph Beck

Proceedings of the Educational Data Mining, 2009

To Tutor or Not to Tutor: That is the Question.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Detecting the Learning Value of Items In a Randomized Problem Set.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Performance Driven Database Design for Scalable Web Applications.

[BibT_eX]

[DOI]

Jozsef Patvarczki

Murali Mani

Proceedings of the Advances in Databases and Information Systems, 2009

2008

Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra Symbolization.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2008

Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance.

[BibT_eX]

[DOI]

Michael Mendicino

Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?.

[BibT_eX]

[DOI]

Yu Guo

Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2008, 2008

Can we predict which groups of questions students will learn from?.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2008, 2008

Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2008, 2008

Towards designing a user-adaptive web-based e-learning system.

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007

A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Educational Machines: Methodologies and Experiences, 2007

The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks.

[BibT_eX]

[DOI]

Brigham S. Anderson

Proceedings of the User Modeling 2007, 11th International Conference, 2007

FM and Web Broadcasting Systems for Mobile Language Listening.

[BibT_eX]

[DOI]

Shudong Wang

Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

The Distribution of Student Errors Across Schools: An Initial Study.

[BibT_eX]

Rob R. Weitz

Viswanathan Kodaganallur

David Rosenthal

Proceedings of the Artificial Intelligence in Education, 2007

What Level of Tutor Interaction is Best?

[BibT_eX]

[DOI]

Robert W. Lindeman

Proceedings of the Artificial Intelligence in Education, 2007

Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods.

[BibT_eX]

Proceedings of the Artificial Intelligence in Education, 2007

Educational Data Mining Workshop.

[BibT_eX]

Cecily Heiner

Tiffany Barnes

Proceedings of the Artificial Intelligence in Education, 2007

2006

Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses.

[BibT_eX]

[DOI]

Proceedings of the 15th international conference on World Wide Web, 2006

Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Jason A. Walonoski

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Jason A. Walonoski

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Scaffolding vs. Hints in the Assistment System.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods.

[BibT_eX]

[DOI]

Kevin Kardian

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS Creation.

[BibT_eX]

[DOI]

Terrence E. Turner

Abraao L. N. Lourenco

Michael A. Macasek

Goss Nuzzo-Jones

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

The Assistment Builder: A Rapid Development Tool for ITS.

[BibT_eX]

Proceedings of the Artificial Intelligence in Education, 2005

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment.

[BibT_eX]

Carolyn Penstein Rosé

Proceedings of the Artificial Intelligence in Education, 2005

Blending Assessment and Instructional Assisting.

[BibT_eX]

Christopher Aniszczyk

Sanket Choksey

Tom Livak

Kai P. Rasmussen

Proceedings of the Artificial Intelligence in Education, 2005

The eXtensible Tutor Architecture: A New Foundation for ITS.

[BibT_eX]

Proceedings of the Artificial Intelligence in Education, 2005

2004

Tutorial Dialog in an Equation Solving Intelligent Tutoring System.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Matthew P. Jarvis

Goss Nuzzo-Jones

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions.

[BibT_eX]

[DOI]

Peter M. Wiemer-Hastings

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor.

[BibT_eX]

[DOI]

Ethan A. Croteau

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model.

[BibT_eX]

[DOI]

Ethan A. Croteau

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

2002

An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 6th International Conference, 2002

1998

Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors.

[BibT_eX]

[DOI]