Ryan S. Baker | Academic Influence

Ryan S. Baker's AcademicInfluence.com Rankings

Ryan S. Baker

Education

#181

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#282

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Pedagogy

#39

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#57

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Ryan S. Baker

Computer Science

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#1938

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computer-science Degrees

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Education
Computer Science

Ryan S. Baker's Degrees

PhD Educational Psychology Carnegie Mellon University

Why Is Ryan S. Baker Influential?

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According to Wikipedia, Ryan S. Baker is professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics. He is known for his role in establishing the educational data mining scientific community, for the Baker Rodrigo Ocumpaugh Monitoring Protocol , and for establishing the first automated detector of student disengagement. He was awarded the Educational Research Award for 2018 by the Council of Scientific Society Presidents.

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Ryan S. Baker's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The State of Educational Data Mining in 2009: A Review and Future Visions. (2009) (1395)
Learning analytics and educational data mining: towards communication and collaboration (2012) (845)
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 (2010) (762)
Educational Data Mining and Learning Analytics (2014) (726)
Off-task behavior in the cognitive tutor classroom: when students "game the system" (2004) (528)
A Data Repository for the EDM Community: The PSLC DataShop (2010) (425)
More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing (2008) (418)
A review of recent advances in learner and skill modeling in intelligent learning environments (2012) (388)
Detecting Student Misuse of Intelligent Tutoring Systems (2004) (377)
Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments (2008) (266)
Adapting to When Students Game an Intelligent Tutoring System (2006) (259)
Open Learning Analytics: an integrated modularized platform (2011) (238)
Modeling and understanding students' off-task behavior in intelligent tutoring systems (2007) (230)
Stupid Tutoring Systems, Intelligent Humans (2016) (225)
Developing a generalizable detector of when students game the system (2008) (217)
Educational Data Mining and Learning Analytics: Applications to Constructionist Research (2014) (198)
The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs (2015) (183)
Content or platform: Why do students complete MOOCs? (2015) (174)
Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra. (2012) (162)
From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining (2013) (157)
Automatic Detection of Learning-Centered Affective States in the Wild (2015) (153)
Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes (2013) (152)
Affective and behavioral predictors of novice programmer achievement (2009) (148)
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization (2013) (146)
The Potentials of Educational Data Mining for Researching Metacognition, Motivation and Self-Regulated Learning (2013) (144)
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes (2014) (141)
Case studies in the use of ROC curve analysis for sensor-based estimates in human computer interaction (2005) (140)
Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor (2010) (134)
Coarse-grained detection of student frustration in an introductory programming course (2009) (132)
Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School (2013) (124)
Mining Big Data in Education: Affordances and Challenges (2020) (123)
Population validity for educational data mining models: A case study in affect detection (2014) (121)
EDUCATIONAL DATA MINING (2016) (117)
Combining click-stream data with NLP tools to better understand MOOC completion (2016) (115)
Leveraging Educational Data Mining for Real-time Performance Assessment of Scientific Inquiry Skills within Microworlds (2012) (113)
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? (2009) (111)
Educational Data Mining: An Advance for Intelligent Systems in Education (2014) (104)
Tools for Educational Data Mining (2017) (101)
The Cambridge Handbook of the Learning Sciences: Educational Data Mining and Learning Analytics (2014) (100)
Penetrating the black box of time-on-task estimation (2015) (99)
Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill (2011) (98)
On the Benefits of Seeking (and Avoiding) Help in Online Problem-Solving Environments (2014) (94)
Labeling Student Behavior Faster and More Precisely with Text Replays (2008) (92)
Exploring the Relationship between Novice Programmer Confusion and Achievement (2011) (91)
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis (2019) (91)
Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms (2016) (87)
Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game (2015) (86)
Educational Software Features that Encourage and Discourage "Gaming the System" (2009) (85)
The Dynamics of Affective Transitions in Simulation Problem-Solving Environments (2007) (84)
The sum is greater than the parts: ensembling models of student knowledge in educational software (2012) (83)
Knowledge Elicitation Methods for Affect Modelling in Education (2013) (83)
Learning Analytics and Educational Data Mining (2016) (80)
Detecting and Addressing Frustration in a Serious Game for Military Training (2017) (79)
Off-task behavior in elementary school children (2016) (79)
Improving Sensor-Free Affect Detection Using Deep Learning (2017) (78)
Affect and Usage Choices in Simulation Problem-Solving Environments (2007) (75)
Focus groups: a qualitative method complementing quantitative research for studying culturally diverse groups. (2000) (75)
Human Classification of Low-Fidelity Replays of Student Actions (2006) (75)
Operationalizing and Detecting Disengagement Within Online Science Microworlds (2015) (72)
Sequences of Frustration and Confusion, and Learning (2013) (72)
Detecting Learning Moment-by-Moment (2011) (69)
In Vivo Experiments on Whether Supporting Metacognition in Intelligent Tutoring Systems Yields Robust Learning (2009) (68)
The Effects of an Interactive Software Agent on Student Affective Dynamics while Using ;an Intelligent Tutoring System (2012) (67)
Automatically Detecting a Student's Preparation for Future Learning: Help Use is Key (2011) (66)
Toward a Model of Learning Data Representations (2001) (62)
Does Time-on-task Estimation Matter? Implications on Validity of Learning Analytics Findings (2016) (61)
Algorithmic Bias in Education (2021) (61)
Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System (2013) (56)
Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game (2008) (55)
Ensembling predictions of student knowledge within intelligent tutoring systems (2011) (55)
Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathematics (2011) (55)
Challenges for the Future of Educational Data Mining: The Baker Learning Analytics Prizes (2019) (54)
Detecting Student Emotions in Computer-Enabled Classrooms (2016) (53)
Analyzing Early At-Risk Factors in Higher Education e-Learning Courses (2015) (53)
The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning? (2006) (52)
Language to Completion: Success in an Educational Data Mining Massive Open Online Class (2015) (51)
Collaboration in cognitive tutor use in latin America: field study and design recommendations (2012) (51)
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems (2005) (51)
Towards Predicting Future Transfer of Learning (2011) (51)
Sensor-free automated detection of affect in a Cognitive Tutor for Algebra (2012) (50)
MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis (2016) (50)
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? (2018) (49)
Detecting Gaming the System in Constraint-Based Tutors (2010) (48)
Improving Contextual Models of Guessing and Slipping with a Trucated Training Set (2008) (47)
Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition (2013) (47)
Towards Understanding How to Assess Help-Seeking Behavior Across Cultures (2015) (46)
Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models (2016) (46)
Grit and Intention: Why Do Learners Complete MOOCs? (2018) (45)
Towards Automatically Detecting Whether Student Learning is Shallow (2012) (44)
Interaction-Based Affect Detection in Educational Software (2015) (44)
Improving construct validity yields better models of systematic inquiry, even with less information (2012) (42)
Assessing implicit science learning in digital games (2017) (41)
Towards general models of effective science inquiry in virtual performance assessments (2016) (41)
Generalizing Detection of Gaming the System Across a Tutoring Curriculum (2006) (41)
Do Performance Goals Lead Students to Game the System? (2005) (40)
Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment (2014) (39)
Classroom activities and off-task behavior in elementary school children (2013) (39)
Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes (2004) (39)
Studying MOOC completion at scale using the MOOC replication framework (2018) (38)
Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments (2009) (38)
What can moment-by-moment learning curves tell about students’ self-regulated learning? (2019) (37)
Mining Data for Student Models (2010) (37)
Modeling the Acquisition of Fluent Skill in Educational Action Games (2007) (37)
More confusion and frustration, better learning: The impact of erroneous examples (2019) (36)
Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities (2014) (36)
WTF? detecting students who are conducting inquiry without thinking fastidiously (2012) (35)
Serious Games Analytics to Measure Implicit Science Learning (2015) (35)
Incorporating effective e-learning principles to improve student engagement in middle-school mathematics (2015) (35)
The Dynamics between Student Affect and Behavior Occurring Outside of Educational Software (2011) (35)
Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software (2014) (35)
Predicting Robust Learning With the Visual Form of the Moment-by-Moment Learning Curve (2013) (35)
Complexities of Collaboration: Intensity of Mentors' Responses to Paired and Single Student Teachers (2006) (34)
A Longitudinal Study on Learner Career Advancement in MOOCs (2014) (34)
Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns (2010) (34)
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection (2015) (34)
Is Gaming the System State-or-Trait ? Educational Data Mining Through the Multi-Contextual Application of a Validated Behavioral Model (2007) (33)
The Difficulty Factors Approach to the Design of Lessons in Intelligent Tutor Curricula (2007) (33)
Detecting the Moment of Learning (2010) (33)
Carelessness and Affect in an Intelligent Tutoring System for Mathematics (2014) (32)
The Effects of Motivational Modeling on Affect in an Intelligent Tutoring System (2008) (32)
Decision Tree Modeling of Wheel-Spinning and Productive Persistence in Skill Builders. (2018) (32)
Comparing the Incidence and Persistence of Learners’ Affect During Interactions with Different Educational Software Packages (2011) (31)
Design Recommendations for Adaptive Intelligent Tutoring Systems Learner Modeling ( Volume I ) 155 CHAPTER 14 ‒ Assessing the Disengaged Behaviors of Learners (2013) (31)
Automated detection of proactive remediation by teachers in reasoning mind classrooms (2015) (31)
Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science (2013) (31)
I Feel Your Pain : A Selective Review of Affect-Sensitive Instructional Strategies (2014) (30)
Educational data scientists: a scarce breed (2013) (30)
Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild (2015) (29)
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts (2005) (29)
COMPARING LEARNERS ’ AFFECT WHILE USING AN INTELLIGENT TUTOR AND AN EDUCATIONAL GAME (2011) (28)
Identifying Students' Inquiry Planning Using Machine Learning (2010) (28)
Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and Effort (2018) (28)
Challenges and Opportunities of Dual-Layer MOOCs: Reflections from an edX Deployment Study (2015) (28)
PSLC DataShop: A Data Analysis Service for the Learning Science Community (2010) (27)
Student Off-Task Behavior in Computer-Based Learning in the Philippines: Comparison to Prior Research in the USA (2013) (27)
An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools (2010) (26)
Who's Learning? Using Demographics in EDM Research (2020) (26)
A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground (2015) (26)
Designing intelligent tutors that adapt to when students game the system (2006) (26)
Modeling and Studying Gaming the System with Educational Data Mining (2013) (26)
Educational data mining meets learning analytics (2012) (26)
Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis (2017) (26)
Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science (2014) (25)
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments (2018) (25)
Replicating 21 findings on student success in online learning (2017) (25)
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors (2018) (25)
Predicting Quitting in Students Playing a Learning Game (2018) (24)
Comparing the Factors That Predict Completion and Grades Among For-Credit and Open/MOOC Students in Online Learning (2018) (23)
Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning (2013) (23)
Administrative assistants as interruption mediators (2003) (23)
Towards Understanding Expert Coding of Student Disengagement in Online Learning (2014) (23)
Communities of Performance & Communities of Preference (2015) (23)
A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios (2018) (23)
The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis (2021) (22)
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System (2011) (22)
Towards Hybrid Human-System Regulation: Understanding Children' SRL Support Needs in Blended Classrooms (2019) (22)
Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research (2018) (22)
Personalized visualizations to promote young learners' SRL: the learning path app (2020) (22)
Affect Sequences and Learning in Betty's Brain (2019) (22)
Negativity in Massive Online Open Courses: Impacts on Learning and Teaching and How Instructional Teams May Be Able to Address It. (2015) (22)
Does the length of time off-task matter? (2012) (21)
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty (2011) (21)
What different kinds of stratification can reveal about the generalizability of data-mined skill assessment models (2013) (21)
Replicating MOOC predictive models at scale (2018) (21)
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System (2014) (20)
Exploring the Relationships between Design, Students' Affective States, and Disengaged Behaviors within an ITS (2013) (20)
Semantic Features of Math Problems: Relationships to Student Learning and Engagement (2016) (19)
Development of a Workbench to Address the Educational Data Mining Bottleneck (2012) (19)
Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System (2015) (19)
Assessing implicit computational thinking in Zoombinis puzzle gameplay (2021) (19)
Middle School Engagement with Mathematics Software and Later Interest and Self-Efficacy for STEM Careers (2016) (18)
The Resilience of Overgeneralization of Knowledge about Data Representations. (2002) (18)
HART: the human affect recording tool (2015) (17)
Comparing Expert and Metric-Based Assessments of Association Rule Interestingness (2014) (17)
Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data (2011) (17)
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system (2019) (17)
Towards adapting to learners at scale: integrating MOOC and intelligent tutoring frameworks (2018) (17)
An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance (2017) (17)
Help Avoidance: When Students Should Seek Help, and the Consequences of Failing to Do So (2017) (16)
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion (2020) (16)
The Relationship between Carelessness and Affect in a Cognitive Tutor (2011) (16)
Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement (2015) (16)
Note-taking and science inquiry in an open-ended learning environment (2018) (16)
Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion (2017) (15)
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective (2019) (14)
Assessment of Robust Learning with Educational Data Mining. (2014) (14)
Using Learning Analytics in Personalized Learning (2019) (14)
Good Communities and Bad Communities: Does Membership Affect Performance? (2015) (14)
Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases (2004) (14)
Correlating affect and behavior in reasoning mind with state test achievement (2018) (14)
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features (2018) (14)
Data Mining Methods for Assessing Self-Regulated Learning (2017) (14)
The Case of Self-transitions in Affective Dynamics (2019) (13)
4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion (2019) (13)
Clustering of design decisions in classroom visual displays (2014) (13)
Managing the Educational Dataset Lifecycle with DataShop (2011) (13)
Culture in Computer-Based Learning Systems: Challenges and Opportunities (2020) (13)
The Implications of a Subtle Difference in the Calculation of Affect Dynamics (2018) (13)
Detecting Wheel Spinning and Productive Persistence in Educational Games (2019) (13)
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task (2009) (13)
Predicting Student Participation in STEM Careers: The Role of Affect and Engagement during Middle School (2020) (13)
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining (2018) (13)
Field Observations of Engagement in Reasoning Mind (2013) (12)
Chapter X : Educational Data Mining and Learning Analytics (2014) (12)
The elusive relationship between time on-task and learning: not simply an issue of measurement (2021) (12)
Comparing Novice and Experienced Students in Virtual Performance Assessments (2015) (12)
Assessing the Fairness of Graduation Predictions (2019) (12)
Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning (2014) (12)
Educational Data Mining and Learning Analytics Potentials and Possibilities for Online Education (2019) (11)
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data (2018) (11)
Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game (2021) (11)
Carelessness and Goal Orientation in a Science Microworld (2011) (11)
Predicting K-12 Dropout (2020) (11)
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities (2016) (11)
Towards Helping Teachers Select Optimal Content for Students (2019) (11)
Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system? (2015) (11)
An exploratory analysis of confusion among students using Newton's playground (2014) (11)
Predicting Student Retention from Behavior in an Online Orientation Course (2017) (11)
Behavioral predictors of MOOC post-course development (2017) (11)
Studying the Effectiveness of an Online Language Learning Platform in China. (2018) (11)
A formative evaluation of a tutor for scatterplot generation: evidence on difficulty factors (2003) (11)
Assessment and Learning in Intelligent Educational Systems: A Peek into the Future (2009) (10)
Modeling Wheel-spinning and Productive Persistence in Skill Builders (2017) (10)
A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts (2019) (10)
A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere (2018) (10)
Extending the Assistance Model: Analyzing the Use of Assistance over Time (2013) (10)
Studying Adaptive Learning Efficacy using Propensity Score Matching (2018) (10)
Gaming the System : A Retrospective Look (2011) (10)
Active Learning for Student Affect Detection (2019) (10)
Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game (2019) (10)
Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games (2018) (10)
Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics (2021) (10)
Statistical Techniques For Comparing ACT-R Models of Cognitive Performance (2003) (10)
Classifying behavior to elucidate elegant problem solving in an educational game (2016) (10)
Effect of student ability and question difficulty on duration (2016) (9)
Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students (2020) (9)
Automated Identification of Verbally Abusive Behaviors in Online Discussions (2019) (9)
Guidance counselor reports of the ASSISTments college prediction model (ACPM) (2017) (9)
Four paradigms in learning analytics: Why paradigm convergence matters (2021) (9)
Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining (2014) (9)
Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning (2019) (9)
Role of Socio-cultural Differences in Labeling Students' Affective States (2018) (9)
Using Past Data to Warm Start Active Machine Learning: Does Context Matter? (2021) (9)
The Effects of an Embodied Conversational Agent on Student Affective Dynamics while Using an Intelligent Tutoring System (2010) (9)
Degree of error in Bayesian knowledge tracing estimates from differences in sample sizes (2018) (9)
The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures (2019) (9)
Generalizing automated detection of the robustness of student learning in an intelligent tutor for genetics. (2013) (9)
The relationship between confusion and metacognitive strategies in Betty's Brain (2020) (9)
Impact of student choice of content adoption delay on course outcomes (2017) (9)
Measuring Students’ Self-Regulatory Phases in LMS with Behavior and Real-Time Self Report (2021) (9)
Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)? (2013) (8)
The Sum is Greater than the Parts : Ensembling Student Knowledge Models in ASSISTments (2011) (8)
Students’ Verbalized Metacognition During Computerized Learning (2021) (8)
Designing dashboards to support learners' self-regulated learning (2019) (8)
Temporal Generalizability of Face-Based Affect Detection in Noisy Classroom Environments (2015) (8)
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis (2019) (8)
A Data-driven Path Model of Student Attributes, Affect, and Engagement in a Computerbased Science Inquiry Microworld (2012) (8)
Modifying Field Observation Methods on the Fly: Creative Metanarrative and Disgust in an Environmental MUVE (2014) (8)
Monitoring Novice Programmer Affect and Behaviors to Identify Learning Bottlenecks (2009) (8)
Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments (2017) (7)
DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event) (2011) (7)
Differential Impact of Learning Activities Designed to Support Robust Learning in the Genetics Cognitive Tutor (2013) (7)
Modeling User Exploration and Boundary Testing in Digital Learning Games (2016) (7)
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment (2020) (7)
Labeling Implicit Computational Thinking in Pizza Pass Gameplay (2018) (7)
Assessing the Learning and Transfer of Data Collection Inquiry Skills Using Educational Data Mining on Students ’ Log Files (2012) (7)
Enhancing the Clustering of Student Performance Using the Variation in Confidence (2018) (7)
Hint Availability Slows Completion Times in Summer Work (2016) (7)
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems (2004) (7)
Content Learning Analysis Using the Moment-by-Moment Learning Detector (2012) (6)
Erratum to: Middle School Engagement with Mathematics Software and Later Interest and Self-Efficacy for STEM Careers (2016) (6)
Improving Engagement in an E-Learning Environment (2015) (6)
Strategic Game Moves Mediate Implicit Science Learning (2015) (6)
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance (2019) (6)
Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry (2011) (6)
Exploring the asymmetry of metacognition (2017) (6)
Using natural language processing tools to develop complex models of student engagement (2017) (5)
The Variable Relationship Between On-Task Behavior and Learning (2016) (5)
Designing and testing an educational innovation (2018) (5)
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale (2018) (5)
A roadmap for educational technology (2010) (5)
A Cross-Cultural Comparison of Effective Help-Seeking Behavior among Students Using an ITS for Math (2012) (5)
Preparing Students for Effective Explaining of Worked Examples in the Genetics Cognitive Tutor (2011) (5)
A Procrastination Index for Online Learning Based on Assignment Start Time (2020) (5)
Forecasting future student mastery (2019) (5)
Does embedding learning supports enhance transfer during game-based learning? (2021) (5)
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments (2020) (5)
Advancing Research in Game-Based Learning Assessment (2020) (5)
How Immersive Virtual Environments Foster Self-Regulated Learning (2018) (5)
NCLEX-RN readiness: HESI Exit Exam validity and nursing program policies. (2022) (5)
Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game (2020) (5)
Learning, Moment-by-Moment and Over the Long Term (2015) (5)
Addressing Behavioral Disengagement in Online Learning (2014) (4)
Using a Model for Learning and Memory to Simulate Learner Response in Spaced Practice (2017) (4)
Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference? (2019) (4)
Affect-Targeted Interviews for Understanding Student Frustration (2021) (4)
Unifying Computer-Based Assessment Across Conceptual Instruction, Problem-Solving, and Digital Games (2014) (4)
Using Machine-Learned Detectors to Assess and Predict Students' Inquiry Performance. (2011) (4)
The Impacts of Automatic Scaffolding on Students' Acquisition of Data Collection Inquiry Skills (2014) (4)
Is Student Frustration in Learning Games More Associated with Game Mechanics or Conceptual Understanding? (2018) (4)
Observations of Collaboration in Cognitive Tutor Use in Latin America (2011) (4)
Towards Detection of Engagement and Affect in a Simulation-based Combat Medic Training Environment (2014) (4)
Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect (2019) (4)
Constructing categories: Moving beyond protected classes in algorithmic fairness (2022) (4)
Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System (2017) (4)
Motivational Feedback Designs for Frustration in a Simulation-based Combat Medic Training Environment (2015) (4)
Artificial intelligence in education: Bringing it all together (2021) (4)
Knowledge Tracing Models’ Predictive Performance when a Student Starts a Skill (2021) (4)
Cost-Effective, Actionable Engagement Detection at Scale (2014) (4)
Temporally Rich Features Capture Variable Performance Associated with Elementary Students ’ Lower Math Self-concept (3)
Using correlational topic modeling for automated topic identification in intelligent tutoring systems (2017) (3)
What Goals Do Students Have When Choosing the Actions They Perform? (2004) (3)
ASSISTments Longitudinal Data Mining Competition Special Issue: A Preface (2020) (3)
A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners (2021) (3)
An investigation of eureka and the affective states surrounding eureka moments (2015) (3)
Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data (2022) (3)
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning (2021) (3)
Early Detection of Wheel-Spinning in ASSISTments (2020) (3)
Bringing Non-programmer Authoring of Intelligent Tutors to MOOCs (2016) (3)
Analyzing Student Gaming with Bayesian Networks (2010) (2)
The Interplay between Affect and Engagement in Classrooms Using AIED Software (2013) (2)
Enhancing Robust Learning Through Problem Solving in the Genetics Cognitive Tutor (2013) (2)
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain (2021) (2)
Using Qualitative Data from Targeted Interviews to Inform Rapid AIED Development (2021) (2)
Modeling Implicit Computational Thinking in Zoombinis Mudball Wall Puzzle Gameplay Authors: Ma. Victoria Almeda, Ph.D., EdGE at TERC (2019) (2)
[Proceedings of the] International Conference on Educational Data Mining (EDM) (3rd, Pittsburgh, PA, July 11-13, 2010). (2010) (2)
Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology (2021) (2)
The Affordances of Multivariate Elo-Based Learner Modeling in Game-Based Assessment (2023) (2)
Comparing Disengaged Behavior within a Cognitive Tutor in the USA and Philippines (2010) (2)
The Science Assistments Project: Scaffolding Scientific Inquiry Skills (2010) (2)
Pinpointing Learning Moments; A finer grain P(J) model (2010) (2)
Affective Sequences and Student Actions Within Reasoning Mind (2020) (2)
Methods for assessing inquiry. Machine-learned and theoretical. (2017) (2)
How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment (2021) (2)
Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States (2018) (2)
Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance (2019) (2)
The Evolution of Metacognitive Strategy Use in An Open-Ended Learning Environment: Do Prior Domain Knowledge and Motivation Play a Role? (2022) (2)
Educational Data Mining 2008, The 1st International Conference on Educational Data Mining, Montreal, Québec, Canada, June 20-21, 2008. Proceedings (2008) (1)
A classifier to detect student ‘ gaming ’ of a medical education system (2013) (1)
Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy (2018) (1)
Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System (2020) (1)
The Antecedents of Moments of Learning (2015) (1)
Contemporary Methods for Learner Affect Modelling : In the Mood for Learning (2011) (1)
Towards Sharing Student Models Across Learning Systems (2021) (1)
Nudging students to reduce procrastination in office hours and forums (2021) (1)
Ensuring Reliability of Educational Data Mining Detectors for Diverse Populations of Learners (1)
Boredom Across Activities , and Across the Year , within Reasoning Mind (2014) (1)
Differentiating Military-Connected and Non-Military-Connected Students: Predictors of Graduation and SAT Score (2020) (1)
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance (2021) (1)
Mining knowledge components from many untagged questions (2017) (1)
Detection and Transition Analysis of Engagement and Affect in a Simulation-Based Combat Medic Training Environment (2013) (1)
Dynamic knowledge tracing through data driven recency weights (2020) (1)
Workshop proposal: deep learning for educational data mining (2017) (1)
Transferring an existing gaming detection model to different system using semi-supervised approach (2021) (1)
Formative Feedback in Interactive Learning Environments (2013) (1)
Accurate and Interpretable Sensor-free Affect Detectors via Monotonic Neural Networks (2019) (1)
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment (2020) (1)
Exploring Learner Model Differences Between Students (2017) (1)
Workshop on Metacognition and Self-Regulated Learning in ITSs (2007) (1)
Proposal Designing Intelligent Tutors That Adapt to Student Misuse (2004) (1)
Towards Deeper Integration of Intelligent Tutoring Systems : One-way Student Model Sharing between GIFT and CTAT (1)
From Data to Knowledge to Action: Enabling Personalized Education (2010) (1)
Exploring Engaging Dialogues in Video Discussions (2014) (1)
Studying Affect Dynamics Using Epistemic Networks (2020) (1)
Challenges to Applying Performance Factor Analysis to Existing Learning Systems (2021) (1)
Timing of learning supports in educational games can impact students' outcomes (2022) (1)
REPLICATING STUDYING ADAPTIVE LEARNING EFFICACY 1 Replicating Studying Adaptive Learning Efficacy using Propensity Score Matching and Inverse Probability of Treatment Weighting (2021) (1)
How does Students’ Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy (2022) (1)
Artificial Intelligence in Education (2017) (1)
Freedom's Teacher: The Life of Septima Clark. By Katherine Mellen Charron. (Chapel Hill: University of North Carolina Press, 2009. xviii, 462 pp. $35.00, ISBN 978-0-8078-3332-2.) (2010) (1)
An architecture for identifying and using effective learning behavior to help students manage learning (2013) (1)
Who’s Stopping You? – Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations (2021) (1)
Learning engineering: A view on where the field is at, where it’s going, and the research needed. (2022) (1)
Applying Frequentist and Bayesian Logistic Regressions to MOOCs Data in SAS : a Case Study (2016) (0)
Information Technologies to Advance Teaching and Learning. Connect: Making Learning Personal. (2016) (0)
Editorial Acknowledgments and Introduction to the Special Issue for the NAEP Data Mining Competition (2021) (0)
Using a Webcam Based Eye-tracker to Understand Students’ Thought Patterns and Reading Behaviors in Neurodivergent Classrooms (2023) (0)
Proceedings of the 11th International Conference on Computer Supported Collaborative Learning (CSCL 2015) (2015) (0)
Building (Timely) bridges between learning analytics, educational data mining and core learning sciences perspectives (2012) (0)
CHAPTER 8 – Assessing Individual Learner Performance in MOOCs (2017) (0)
Infrastructure for Replication in Learning Analytics (2017) (0)
Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings (2010) (0)
How well do contemporary knowledge tracing algorithms predict the knowledge carried out of a digital learning game? (2023) (0)
Distinct Errors Arising From a Single Misconception (2019) (0)
Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology (2021) (0)
The Future of Practical Applications of EDM at Scale (2015) (0)
MOOD Massive Open Online Dataviz (2019) (0)
Iterative Feature Engineering Through Text Replays of Model Error (2020) (0)
Engagement-Based Player Typologies Describe Game-Based Learning Outcomes (2022) (0)
Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process (0)
Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games (2018) (0)
The Results of Zone of Proximal Development on Learning Outcome (2020) (0)
Detecting threshold concepts through Bayesian knowledge tracing: examining research skill development in biological sciences at the doctoral level (2022) (0)
Learning Scientists in Academia and Industry: Building Bridges and Expanding the Potential of our Community (2020) (0)
Educational Data Mining and Learning Analytics: Applications to Constructionist Research (2014) (0)
Qualitative, quantitative, and data mining methods for analyzing log data to characterize students' learning strategies and behaviors [discussant] (2010) (0)
Incorporating effective e-learning principles to improve student engagement in middle-school mathematics (2015) (0)
Learning Analytics: An Opportunity for Education (2023) (0)
1 Addressing Behavioral Disengagement in Online Learning (2014) (0)
Detecting threshold concepts through Bayesian knowledge tracing: examining research skill development in biological sciences at the doctoral level (2022) (0)
How do personalized visualizations influence students self-regulated learning? (2019) (0)
Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives (2012) (0)
Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling (2018) (0)
Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags (0)
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research (2022) (0)
How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews (2021) (0)
Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course (2023) (0)
Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics (2021) (0)
Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses (2019) (0)
The impacts of learning analytics and A/B testing research: a case study in differential scientometrics (2022) (0)
Knowledge Inference Models Used in Adaptive Learning (2021) (0)
Student online behaviors: correlations to math identity (2018) (0)
Running head : EFFECTIVENESS OF AN ONLINE LANGUAGE LEARNING PLATFORM IN CHINA 1 Effectiveness of an Online Language Learning Platform in China (2017) (0)
The impacts of learning analytics and A/B testing research: a case study in differential scientometrics (2022) (0)
Paper #2 Abstract Title Page Title: Using Machine-Learned Detectors to Assess and Predict Students’ Inquiry Performance Author(s): (2011) (0)
Research Using the MOOC Replication Framework and E-TRIALS (2022) (0)
The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems (2004) (0)
Impact of Pedagogical Agents’ Conversational Formality on Learning and Engagement (2017) (0)
Supporting student success on the practical nurse (PN) licensure exam: The Health Education Systems Incorporated (HESI) PN Exit Exam Study. (2022) (0)
Erratum to: Middle School Engagement with Mathematics Software and Later Interest and Self-Efficacy for STEM Careers (2016) (0)
An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance (2017) (0)
Exploring players' experience of humor and snark in a grade 3-6 history practices game (2022) (0)
The Sleep-Retardant Properties of My Ex-Girlfriend (2002) (0)
How are feelings of difficulty and familiarity linked to learning behaviors and gains in a complex science learning task? (2022) (0)
Evaluating Gaming Detector Model Robustness Over Time (0)
Webcam-based eye tracking to detect mind wandering and comprehension errors (2023) (0)
Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence (2021) (0)
The Impact of HESI® CompassTM on Nursing Students’ Readiness for the NCLEX-RN Exam® (0)
How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research? (2022) (0)
Carelessness and Affect in an Intelligent Tutoring System for Mathematics (2014) (0)
Educational data mining methods for studying student behaviors minute by minute across an entire school year (2010) (0)
PILOT: An Interactive Tool for Learning and Grading (2000) (0)
In response to these implementation and assessment difficulties , we are developing a web-based learning environment (2013) (0)
ASSISTments Affect Field Observation Data Set (2020) (0)
Degree of error in Bayesian knowledge tracing estimates from differences in sample sizes (2018) (0)
Running head : DETECTING LEARNER ENGAGEMENT 1 Operationalizing and Detecting Disengagement Within Online Science (2014) (0)
Grand Challenges for EDM and Related Research Areas (2015) (0)
ADAPTIVE INSTRUCTIONAL SYSTEMS (2020) (0)
Middle School Engagement with Mathematics Software and Later Interest and Self-Efficacy for STEM Careers (2016) (0)
Personal Knowledge/Learning Graph (2015) (0)
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem (2021) (0)
The Science Assistments Project: Intelligent tutoring for scientific inquiry skills (2011) (0)
Collaborative Research Across Alternate (2002) (0)
Towards Interpretability of Attention-Based Knowledge Tracing Models (2022) (0)
Simulating Multi-Subject Momentary Time Sampling (2015) (0)
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours (2022) (0)
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students (2019) (0)
EDM in a Complex and Changing World (2013) (0)
A review of recent advances in learner and skill modeling in intelligent learning environments (2011) (0)
Unifying Computer-Based Assessment Across Conceptual Instruction, Problem-Solving, and Digital Games (2014) (0)
Achievement versus Experience: Predicting Students' Choices during Gameplay (2015) (0)
Mapping e-Learning Preparation to Training Objectives in a Multinational Exercise: A Q-Matrix Approach (2020) (0)

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