Ryan Baker

Andrew S. Lan

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

2022

Exploring players' experience of humor and snark in a grade 3-6 history practices game.

[BibT_eX]

[DOI]

Erik Harpstead

Jennifer Scianna

Stefan Slater

CoRR, 2022

Timing of learning supports in educational games can impact students' outcomes.

[BibT_eX]

[DOI]

Comput. Educ., 2022

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., 2022

Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics.

[BibT_eX]

[DOI]

Genaro Rebolledo-Mendez

N. Sofia Huerta-Pacheco

Benedict du Boulay

Int. J. Artif. Intell. Educ., 2022

How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2022

Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2022

Algorithmic Bias in Education.

[BibT_eX]

[DOI]

Aaron Hawn

Int. J. Artif. Intell. Educ., 2022

Exploring the Impact of Voluntary Practice and Procrastination in an Introductory Programming Course.

[BibT_eX]

[DOI]

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Research Using the MOOC Replication Framework and E-TRIALS.

[BibT_eX]

[DOI]

Haripriya Valayaputtar

Proceedings of the IEEE Learning with MOOCS, 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

How does Students' Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy.

[BibT_eX]

[DOI]

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Iterative Refinement of an AIS Rewards System.

[BibT_eX]

[DOI]

Proceedings of the Adaptive Instructional Systems, 2022

Evaluating Gaming Detector Model Robustness Over Time.

[BibT_eX]

[DOI]

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

Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags.

[BibT_eX]

[DOI]

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

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process.

[BibT_eX]

[DOI]

Jiayi Zhang

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

Engagement-Based Player Typologies Describe Game-Based Learning Outcomes.

[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

How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research?

[BibT_eX]

[DOI]

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

A Multi-pronged Redesign to Reduce Gaming the System.

[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

2021

Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain.

[BibT_eX]

[DOI]

J. Learn. Anal., October, 2021

Assessing implicit computational thinking in <i>Zoombinis</i> puzzle gameplay.

[BibT_eX]

[DOI]

Comput. Hum. Behav., 2021

The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, <i>Zoombinis</i>.

[BibT_eX]

[DOI]

Comput. Hum. Behav., 2021

Four paradigms in learning analytics: Why paradigm convergence matters.

[BibT_eX]

[DOI]

Dragan Gasevic

Comput. Educ. Artif. Intell., 2021

Measuring Students' Self-Regulatory Phases in LMS with Behavior and Real-Time Self Report.

[BibT_eX]

[DOI]

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

Nudging students to reduce procrastination in office hours and forums.

[BibT_eX]

[DOI]

Eric Fouh

Wellington Lee

Proceedings of the 25th International Conference Information Visualisation, 2021

How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews.

[BibT_eX]

[DOI]

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance.

[BibT_eX]

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.

[BibT_eX]

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

A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem.

[BibT_eX]

[DOI]

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

Transferring an existing gaming detection model to different system using semi-supervised approach.

[BibT_eX]

[DOI]

Vedant Bahel

Seth Akonor Adjei

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations.

[BibT_eX]

[DOI]

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

Students' Verbalized Metacognition During Computerized Learning.

[BibT_eX]

[DOI]

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners.

[BibT_eX]

[DOI]

Yiqiu Zhou

Korinn Ostrow

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

Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game.

[BibT_eX]

[DOI]

Jiayi Zhang

Rohini Das

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

Affect-Targeted Interviews for Understanding Student Frustration.

[BibT_eX]

[DOI]

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

Towards Sharing Student Models Across Learning Systems.

[BibT_eX]

[DOI]

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

Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence.

[BibT_eX]

[DOI]

Seth Akonor Adjei

Vedant Bahel

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.

[BibT_eX]

[DOI]

J. Learn. Anal., March, 2020

Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games.

[BibT_eX]

[DOI]

V. Elizabeth Owen

Technol. Knowl. Learn., 2020

The relationship between confusion and metacognitive strategies in Betty's Brain.

[BibT_eX]

[DOI]

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

Personalized visualizations to promote young learners' SRL: the learning path app.

[BibT_eX]

[DOI]

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

Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Studying Affect Dynamics Using Epistemic Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Learning Scientists in Academia and Industry: Building Bridges and Expanding the Potential of our Community.

[BibT_eX]

[DOI]

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

Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance.

[BibT_eX]

[DOI]

Peter Scupelli

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

The Results of Zone of Proximal Development on Learning Outcome.

[BibT_eX]

[DOI]

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

Iterative Feature Engineering Through Text Replays of Model Error.

[BibT_eX]

[DOI]

Stefan Slater

Yeyu Wang

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

A Procrastination Index for Online Learning Based on Assignment Start Time.

[BibT_eX]

[DOI]

Lalitha Agnihotri

Steve Stalzer

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

Dynamic knowledge tracing through data driven recency weights.

[BibT_eX]

[DOI]

Deepak Agarwal

Anupama Muraleedharan

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

Early Detection of Wheel-Spinning in ASSISTments.

[BibT_eX]

[DOI]

Yeyu Wang

Shimin Kai

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

Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System.

[BibT_eX]

[DOI]

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

Affective Sequences and Student Actions Within Reasoning Mind.

[BibT_eX]

[DOI]

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

Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment.

[BibT_eX]

[DOI]

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

Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments.

[BibT_eX]

[DOI]

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

Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion.

[BibT_eX]

[DOI]

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

Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game.

[BibT_eX]

[DOI]

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

2019

Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system.

[BibT_eX]

[DOI]

Interact. Learn. Environ., 2019

Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance.

[BibT_eX]

[DOI]

CoRR, 2019

The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students.

[BibT_eX]

[DOI]

CoRR, 2019

More confusion and frustration, better learning: The impact of erroneous examples.

[BibT_eX]

[DOI]

Jon R. Star

Comput. Educ., 2019

Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2nd Conference on Language, Data and Knowledge, 2019

Towards Hybrid Human-System Regulation: Understanding Children' SRL Support Needs in Blended Classrooms.

[BibT_eX]

[DOI]

Inge Molenaar

Anne Horvers

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

Evaluating the Fairness of Predictive Student Models Through Slicing Analysis.

[BibT_eX]

[DOI]

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

Affect Sequences and Learning in Betty's Brain.

[BibT_eX]

[DOI]

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

Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game.

[BibT_eX]

[DOI]

Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019

Active Learning for Student Affect Detection.

[BibT_eX]

[DOI]

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

Detecting Wheel Spinning and Productive Persistence in Educational Games.

[BibT_eX]

[DOI]

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

The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures.

[BibT_eX]

[DOI]

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

Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.

[BibT_eX]

[DOI]

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

A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts.

[BibT_eX]

[DOI]

Chad Coleman

Shonte Stephenson

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]

Anthony F. Botelho

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.

[BibT_eX]

[DOI]

Jaclyn L. Ocumpaugh

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

Assessing the Fairness of Graduation Predictions.

[BibT_eX]

[DOI]

Henry Anderson

Afshan Boodhwani

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

Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning.

[BibT_eX]

[DOI]

Srikrishna Raamadhurai

Vikraman Poduval

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Towards Helping Teachers Select Optimal Content for Students.

[BibT_eX]

[DOI]

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

Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?

[BibT_eX]

[DOI]

Miguel Andres-Bray

Jon R. Star

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

The Case of Self-transitions in Affective Dynamics.

[BibT_eX]

[DOI]

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

4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion.

[BibT_eX]

[DOI]

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

2018

Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining.

[BibT_eX]

[DOI]

CoRR, 2018

MORF: A Framework for MOOC Predictive Modeling and Replication At Scale.

[BibT_eX]

[DOI]

CoRR, 2018

Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2018

Detecting and Addressing Frustration in a Serious Game for Military Training.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2018

A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios.

[BibT_eX]

[DOI]

Sergio Salmeron-Majadas

Olga C. Santos

Jesús González-Boticario

IEEE Access, 2018

Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments.

[BibT_eX]

[DOI]

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States.

[BibT_eX]

[DOI]

Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018

Replicating MOOC predictive models at scale.

[BibT_eX]

[DOI]

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

Towards adapting to learners at scale: integrating MOOC and intelligent tutoring frameworks.

[BibT_eX]

[DOI]

Jonathan Sewall

Robert A. Sottilare

Rodney A. Long

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

Student online behaviors: correlations to math identity.

[BibT_eX]

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Correlating affect and behavior in reasoning mind with state test achievement.

[BibT_eX]

[DOI]

Victor Kostyuk

Ma. Victoria Almeda

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Studying MOOC completion at scale using the MOOC replication framework.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and Effort.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 14th International Conference, 2018

Enhancing the Clustering of Student Performance Using the Variation in Confidence.

[BibT_eX]

[DOI]

Ani Aghababyan

Nicholas Lewkow

Proceedings of the Intelligent Tutoring Systems - 14th International Conference, 2018

Is Student Frustration in Learning Games More Associated with Game Mechanics or Conceptual Understanding?

[BibT_eX]

[DOI]

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

Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling.

[BibT_eX]

[DOI]

Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018

Predicting Quitting in Students Playing a Learning Game.

[BibT_eX]

[DOI]

Valerie J. Shute

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

Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features.

[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

Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy.

[BibT_eX]

[DOI]

Deepak Agarwal

Nishant Babel

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

Labeling Implicit Computational Thinking in Pizza Pass Gameplay.

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data.

[BibT_eX]

[DOI]

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

A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere.

[BibT_eX]

[DOI]

Michal Moskal

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

Role of Socio-cultural Differences in Labeling Students' Affective States.

[BibT_eX]

[DOI]

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

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?

[BibT_eX]

[DOI]

Allison L. Moore

Gautam Biswas

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

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

Assessing implicit science learning in digital games.

[BibT_eX]

[DOI]

Comput. Hum. Behav., 2017

Mining knowledge components from many untagged questions.

[BibT_eX]

[DOI]

Neil L. Zimmerman

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

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

Infrastructure for Replication in Learning Analytics.

[BibT_eX]

[DOI]

Juan Miguel Limjap Andres

Proceedings of the Joint Proceedings of the Workshop on Methodology in Learning Analytics (MLA) and the Workshop on Building the Learning Analytics Curriculum (BLAC) co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017

Impact of student choice of content adoption delay on course outcomes.

[BibT_eX]

[DOI]

Lalitha Agnihotri

Alfred Essa

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

Exploring the asymmetry of metacognition.

[BibT_eX]

[DOI]

Ani Aghababyan

Nicholas Lewkow

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

Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System.

[BibT_eX]

[DOI]

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

Predicting Student Retention from Behavior in an Online Orientation Course.

[BibT_eX]

[DOI]

Shimin Kai

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

Workshop proposal: deep learning for educational data mining.

[BibT_eX]

[DOI]

Joseph Beck

Min Chi

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

Studying MOOC Completion at Scale Using the MOOC Replication Framework.

[BibT_eX]

[DOI]

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

Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017

Using a Model for Learning and Memory to Simulate Learner Response in Spaced Practice.

[BibT_eX]

[DOI]

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

Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments.

[BibT_eX]

[DOI]

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

Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion.

[BibT_eX]

[DOI]

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

Exploring Learner Model Differences Between Students.

[BibT_eX]

[DOI]

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

Improving Sensor-Free Affect Detection Using Deep Learning.

[BibT_eX]

[DOI]

Anthony F. Botelho

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

Does Time-on-task Estimation Matter? Implications on Validity of Learning Analytics Findings.

[BibT_eX]

[DOI]

J. Learn. Anal., February, 2016

Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., 2016

Towards general models of effective science inquiry in virtual performance assessments.

[BibT_eX]

[DOI]

Jody Clarke-Midura

J. Comput. Assist. Learn., 2016

Stupid Tutoring Systems, Intelligent Humans.

[BibT_eX]

[DOI]

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

Modeling User Exploration and Boundary Testing in Digital Learning Games.

[BibT_eX]

[DOI]

V. Elizabeth Owen

Gabriella Anton

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities.

[BibT_eX]

[DOI]

Angela Z. Wagner

Benjamin A. MacLaren

Aaron P. Mitchell

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Bringing Non-programmer Authoring of Intelligent Tutors to MOOCs.

[BibT_eX]

[DOI]

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

Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models.

[BibT_eX]

[DOI]

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

Combining click-stream data with NLP tools to better understand MOOC completion.

[BibT_eX]

[DOI]

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

Detecting Student Emotions in Computer-Enabled Classrooms.

[BibT_eX]

[DOI]

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

Classifying behavior to elucidate elegant problem solving in an educational game.

[BibT_eX]

[DOI]

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

Effect of student ability and question difficulty on duration.

[BibT_eX]

[DOI]

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

MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis.

[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

The Variable Relationship Between On-Task Behavior and Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

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

[BibT_eX]

[DOI]

Valerie J. Shute

Comput. Educ., 2015

Towards Understanding How to Assess Help-Seeking Behavior Across Cultures.

[BibT_eX]

[DOI]

Jose Carlo A. Soriano

Int. J. Artif. Intell. Educ., 2015

Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaptation and Personalization, 2015

HART: the human affect recording tool.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

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

Automated detection of proactive remediation by teachers in reasoning mind classrooms.

[BibT_eX]

[DOI]

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

Penetrating the black box of time-on-task estimation.

[BibT_eX]

[DOI]

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

Automatic Detection of Learning-Centered Affective States in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Achievement versus Experience: Predicting Students' Choices during Gameplay.

[BibT_eX]

[DOI]

Erica L. Snow

Matthew E. Jacovina

Danielle S. McNamara

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

Personal Knowledge/Learning Graph.

[BibT_eX]

[DOI]

George Siemens

Dragan Gasevic

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

Strategic Game Moves Mediate Implicit Science Learning.

[BibT_eX]

[DOI]

Elizabeth Rowe

Jodi Asbell-Clarke

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

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

[BibT_eX]

[DOI]

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

Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection.

[BibT_eX]

[DOI]

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

Simulating Multi-Subject Momentary Time Sampling.

[BibT_eX]

[DOI]

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

A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground.

[BibT_eX]

[DOI]

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

Comparing Novice and Experienced Students in Virtual Performance Assessments.

[BibT_eX]

[DOI]

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

Language to Completion: Success in an Educational Data Mining Massive Open Online Class.

[BibT_eX]

[DOI]

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

Communities of Performance & Communities of Preference.

[BibT_eX]

[DOI]

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

Good Communities and Bad Communities: Does Membership Affect Performance?

[BibT_eX]

[DOI]

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

Analyzing Early At-Risk Factors in Higher Education e-Learning Courses.

[BibT_eX]

[DOI]

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

The Future of Practical Applications of EDM at Scale.

[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

The Antecedents of Moments of Learning.

[BibT_eX]

[DOI]

Gregory R. Moore

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Improving Engagement in an E-Learning Environment.

[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

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

Temporal Generalizability of Face-Based Affect Detection in Noisy Classroom Environments.

[BibT_eX]

[DOI]

Nigel Bosch

Valerie J. Shute

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

The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs.

[BibT_eX]

[DOI]

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

2014

A Longitudinal Study on Learner Career Advancement in MOOCs.

[BibT_eX]

[DOI]

Yuan Wang

J. Learn. Anal., November, 2014

Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes.

[BibT_eX]

[DOI]

Supreeth M. Gowda

J. Learn. Anal., May, 2014

Unifying Computer-Based Assessment Across Conceptual Instruction, Problem-Solving, and Digital Games.

[BibT_eX]

[DOI]

William L. Miller

Lisa M. Rossi

Technol. Knowl. Learn., 2014

Educational Data Mining and Learning Analytics: Applications to Constructionist Research.

[BibT_eX]

[DOI]

Matthew Berland

Paulo Blikstein

Technol. Knowl. Learn., 2014

Educational Data Mining: An Advance for Intelligent Systems in Education.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2014

Population validity for educational data mining models: A case study in affect detection.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., 2014

Carelessness and Affect in an Intelligent Tutoring System for Mathematics.

[BibT_eX]

[DOI]

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

Modifying Field Observation Methods on the Fly: Creative Metanarrative and Disgust in an Environmental MUVE.

[BibT_eX]

[DOI]

Proceedings of the Posters, 2014

Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Clustering of design decisions in classroom visual displays.

[BibT_eX]

[DOI]

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment.

[BibT_eX]

[DOI]

Zakkai Kauffman-Rogoff

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

Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining.

[BibT_eX]

[DOI]

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

Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning.

[BibT_eX]

[DOI]

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]

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.

[BibT_eX]

[DOI]

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

Exploring Engaging Dialogues in Video Discussions.

[BibT_eX]

[DOI]

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

Comparing Expert and Metric-Based Assessments of Association Rule Interestingness.

[BibT_eX]

[DOI]

Diego Luna Bazaldua

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

Cost-Effective, Actionable Engagement Detection at Scale.

[BibT_eX]

[DOI]

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

Towards Understanding Expert Coding of Student Disengagement in Online Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill.

[BibT_eX]

[DOI]

Orlando Montalvo

Adam Nakama

User Model. User Adapt. Interact., 2013

New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization.

[BibT_eX]

[DOI]

Emma Brunskill

Elizabeth A. McLaughlin

AI Mag., 2013

Knowledge Elicitation Methods for Affect Modelling in Education.

[BibT_eX]

[DOI]

Kaska Porayska-Pomsta

Manolis Mavrikis

Cristina Conati

Int. J. Artif. Intell. Educ., 2013

Towards Automatically Detecting Whether Student Learning is Shallow.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2013

Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science.

[BibT_eX]

[DOI]

Jody Clarke-Midura

Proceedings of the User Modeling, Adaptation, and Personalization, 2013

Educational data scientists: a scarce breed.

[BibT_eX]

[DOI]

Simon Buckingham Shum

Martin Hawksey

Naomi Jeffery

John T. Behrens

Roy Pea

Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

What different kinds of stratification can reveal about the generalizability of data-mined skill assessment models.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes.

[BibT_eX]

[DOI]

Supreeth M. Gowda

Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition.

[BibT_eX]

[DOI]

Michael Sao Pedro

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

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

[BibT_eX]

[DOI]

Alex J. Bowers

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

Sequences of Frustration and Confusion, and Learning.

[BibT_eX]

[DOI]

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

Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning.

[BibT_eX]

[DOI]

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

EDM in a Complex and Changing World.

[BibT_eX]

[DOI]

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

Classroom activities and off-task behavior in elementary school children.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Enhancing Robust Learning Through Problem Solving in the Genetics Cognitive Tutor.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

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

[BibT_eX]

[DOI]

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

Field Observations of Engagement in Reasoning Mind.

[BibT_eX]

[DOI]

Steven Gaudino

Matthew J. Labrum

Travis Dezendorf

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

An architecture for identifying and using effective learning behavior to help students manage learning.

[BibT_eX]

[DOI]

Roberto Sebastian Legaspi

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

The Interplay between Affect and Engagement in Classrooms Using AIED Software.

[BibT_eX]

[DOI]

Gregory R. Moore

Lisa M. Rossi

Martin Van Velsen

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

Formative Feedback in Interactive Learning Environments.

[BibT_eX]

[DOI]

Ilya M. Goldin

Taylor Martin

Tiffany Barnes

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

Exploring the Relationships between Design, Students' Affective States, and Disengaged Behaviors within an ITS.

[BibT_eX]

[DOI]

Lakshmi S. Doddannara

Supreeth M. Gowda

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

Detection and Transition Analysis of Engagement and Affect in a Simulation-Based Combat Medic Training Environment.

[BibT_eX]

[DOI]

Jeanine DeFalco

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Differential Impact of Learning Activities Designed to Support Robust Learning in the Genetics Cognitive Tutor.

[BibT_eX]

[DOI]

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

A review of recent advances in learner and skill modeling in intelligent learning environments.

[BibT_eX]

[DOI]

Michel C. Desmarais

User Model. User Adapt. Interact., 2012

The Effects of an Interactive Software Agent on Student Affective Dynamics while Using ;an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Jenilyn Agapito

Julieta Nabos

Ma. Concepcion Repalam

Salvador S. Reyes

IEEE Trans. Affect. Comput., 2012

WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously.

[BibT_eX]

[DOI]

Michael Wixon

Matthew Bachmann

Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Learning analytics and educational data mining: towards communication and collaboration.

[BibT_eX]

[DOI]

George Siemens

Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

Does the length of time off-task matter?

[BibT_eX]

[DOI]

Daniel Roberge

Anthony Rojas

Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

Educational data mining meets learning analytics.

[BibT_eX]

[DOI]

Simon Buckingham Shum

Erik Duval

David A. Wiley

Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

A Cross-Cultural Comparison of Effective Help-Seeking Behavior among Students Using an ITS for Math.

[BibT_eX]

[DOI]

Jose Carlo A. Soriano

Ryan Genato

Samantha Fontaine

Ricardo Belmontez

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

Content Learning Analysis Using the Moment-by-Moment Learning Detector.

[BibT_eX]

[DOI]

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

Towards Automatically Detecting Whether Student Learning Is Shallow.

[BibT_eX]

[DOI]

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

A Data-driven Path Model of Student Attributes, Affect, and Engagement in a Computerbased Science Inquiry Microworld.

[BibT_eX]

[DOI]

Proceedings of the Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences, 2012

Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives.

[BibT_eX]

[DOI]

Proceedings of the Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences, 2012

Development of a Workbench to Address the Educational Data Mining Bottleneck.

[BibT_eX]

[DOI]

Alejandra Jayme

Thomas Dy

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

Sensor-free automated detection of affect in a Cognitive Tutor for Algebra.

[BibT_eX]

[DOI]

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

Collaboration in cognitive tutor use in latin America: field study and design recommendations.

[BibT_eX]

[DOI]

Genaro Rebolledo-Mendez

Tania Laurentino

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011

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

[BibT_eX]

[DOI]

SIGKDD Explor., 2011

Mineração de Dados Educacionais: Oportunidades para o Brasil.

[BibT_eX]

[DOI]

Seiji Isotani

Revista Brasileira de Informática na Educ., 2011

Detecting Learning Moment-by-Moment.

[BibT_eX]

[DOI]

Adam B. Goldstein

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

Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaption and Personalization, 2011

Invited Talk Abstracts.

[BibT_eX]

[DOI]

Thomas K. Landauer

Rosalind W. Picard

David S. Touretzky

Robert C. Holte

Amanda J. Stent

Daniel Vanderveken

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

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

[BibT_eX]

[DOI]

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

Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry.

[BibT_eX]

[DOI]

Michael Wixon

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

Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty.

[BibT_eX]

[DOI]

Jonathan P. Rowe

Min Chi

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

Automatically Detecting a Student's Preparation for Future Learning: Help Use is Key.

[BibT_eX]

[DOI]

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

The Science Assistments Project: Intelligent tutoring for scientific inquiry skills.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Preparing Students for Effective Explaining of Worked Examples in the Genetics Cognitive Tutor.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Observations of Collaboration in Cognitive Tutor Use in Latin America.

[BibT_eX]

[DOI]

Tania Laurentino

Genaro Rebolledo-Mendez

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

DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event).

[BibT_eX]

[DOI]

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

Managing the Educational Dataset Lifecycle with DataShop.

[BibT_eX]

[DOI]

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

Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathematics.

[BibT_eX]

[DOI]

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

Carelessness and Goal Orientation in a Science Microworld.

[BibT_eX]

[DOI]

Michael Wixon

Michael Sao Pedro

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

Towards Predicting Future Transfer of Learning.

[BibT_eX]

[DOI]

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

The Relationship between Carelessness and Affect in a Cognitive Tutor.

[BibT_eX]

[DOI]

Proceedings of the Affective Computing and Intelligent Interaction, 2011

Exploring the Relationship between Novice Programmer Confusion and Achievement.

[BibT_eX]

[DOI]

Diane Marie C. Lee

Jessica O. Sugay

Andrei Coronel

Proceedings of the Affective Computing and Intelligent Interaction, 2011

The Dynamics between Student Affect and Behavior Occurring Outside of Educational Software.

[BibT_eX]

[DOI]

Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010

Mining Data for Student Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Tutoring Systems, 2010

Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments.

[BibT_eX]

[DOI]

Arthur C. Graesser

Int. J. Hum. Comput. Stud., 2010

Detecting Gaming the System in Constraint-Based Tutors.

[BibT_eX]

[DOI]

Antonija Mitrovic

Moffat Mathews

Proceedings of the User Modeling, 2010

Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, 2010

PSLC DataShop: A Data Analysis Service for the Learning Science Community.

[BibT_eX]

[DOI]

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

Comparing Disengaged Behavior within a Cognitive Tutor in the USA and Philippines.

[BibT_eX]

[DOI]

Jenilyn Agapito

Julieta Nabos

Ma. Concepcion Repalam

Salvador S. Reyes

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

The Science Assistments Project: Scaffolding Scientific Inquiry Skills.

[BibT_eX]

[DOI]

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

Analyzing Student Gaming with Bayesian Networks.

[BibT_eX]

[DOI]

Stephen Giguere

Joseph E. Beck

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

Educational data mining methods for studying student behaviors minute by minute across an entire school year.

[BibT_eX]

[DOI]

Proceedings of the Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences, 2010

Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns.

[BibT_eX]

[DOI]

Michael Sao Pedro

Orlando Montalvo

Adam Nakama

Proceedings of the Educational Data Mining 2010, 2010

Identifying Students' Inquiry Planning Using Machine Learning.

[BibT_eX]

[DOI]

Orlando Montalvo

Adam Nakama

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

An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2010, 2010

2009

Affective and behavioral predictors of novice programmer achievement.

[BibT_eX]

[DOI]

Maria Beatriz V. Espejo-Lahoz

Matthew C. Jadud

Anna Christine M. Amarra

Thomas Dy

Sheryl Ann L. Lim

Sheila A. M. S. Pascua

Jessica O. Sugay

Emily S. Tabanao

Proceedings of the 14th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2009

Coarse-grained detection of student frustration in an introductory programming course.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Workshop on Computing Education Research, 2009

Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments.

[BibT_eX]

[DOI]

David Prata

Evandro de Barros Costa

Carolyn P. Rosé

Yue Cui

Proceedings of the Educational Data Mining, 2009

Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining, 2009

The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate?

[BibT_eX]

[DOI]

Mihaela Cocea

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

Educational Software Features that Encourage and Discourage "Gaming the System".

[BibT_eX]

[DOI]

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

2008

Developing a generalizable detector of when students game the system.

[BibT_eX]

[DOI]

Ido Roll

User Model. User Adapt. Interact., 2008

Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game.

[BibT_eX]

[DOI]

Ma. Celeste T. Gonzalez

Maria C. V. Lagud

Sheryl Ann L. Lim

Alexis F. Macapanpan

Sheila A. M. S. Pascua

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

More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing.

[BibT_eX]

[DOI]

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

Improving Contextual Models of Guessing and Slipping with a Trucated Training Set.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2008, 2008

Labeling Student Behavior Faster and More Precisely with Text Replays.

[BibT_eX]

[DOI]

Proceedings of the Educational Data Mining 2008, 2008

2007

The Difficulty Factors Approach to the Design of Lessons in Intelligent Tutor Curricula.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2007

Modeling the Acquisition of Fluent Skill in Educational Action Games.

[BibT_eX]

[DOI]

M. P. Jacob Habgood

Shaaron Ainsworth

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

Modeling and understanding students' off-task behavior in intelligent tutoring systems.

[BibT_eX]

[DOI]

Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007

Workshop on Metacognition and Self-Regulated Learning in ITSs.

[BibT_eX]

Ido Roll

Roger Azevedo

Proceedings of the Artificial Intelligence in Education, 2007

Affect and Usage Choices in Simulation Problem-Solving Environments.

[BibT_eX]

[DOI]

Maria C. V. Lagud

Sheryl Ann L. Lim

Alexis F. Macapanpan

Sheila A. M. S. Pascua

Proceedings of the Artificial Intelligence in Education, 2007

The Dynamics of Affective Transitions in Simulation Problem-Solving Environments.

[BibT_eX]

[DOI]

Ulises E. Xolocotzin

Proceedings of the Affective Computing and Intelligent Interaction, 2007

2006

The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning?

[BibT_eX]

[DOI]

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

Generalizing Detection of Gaming the System Across a Tutoring Curriculum.

[BibT_eX]

[DOI]

Ido Roll

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

Adapting to When Students Game an Intelligent Tutoring System.

[BibT_eX]

[DOI]

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

2005

Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the User Modeling 2005, 2005

Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts.

[BibT_eX]

[DOI]

Proceedings of the User Modeling 2005, 2005

Case studies in the use of ROC curve analysis for sensor-based estimates in human computer interaction.

[BibT_eX]

[DOI]

James Fogarty

Scott E. Hudson

Proceedings of the Graphics Interface 2005 Conference, 2005

Do Performance Goals Lead Students to Game the System?

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education, 2005

2004

A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

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

Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes.

[BibT_eX]

[DOI]

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

The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

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

Detecting Student Misuse of Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

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

Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases.

[BibT_eX]

[DOI]

Proceedings of the Embracing Diversity in the Learning Sciences: Proceedings of the 6th International Conference for the Learning Sciences, 2004

What Goals Do Students Have When Choosing the Actions They Perform?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Cognitive Modelling, 2004

Off-task behavior in the cognitive tutor classroom: when students "game the system".

[BibT_eX]

[DOI]

Proceedings of the 2004 Conference on Human Factors in Computing Systems, 2004

2003

Administrative assistants as interruption mediators.

[BibT_eX]

[DOI]

Laura Dabbish