Abstract is missing.
- Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language CourseAshvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan. [doi]
- Measuring Item Teaching Value in an Online Learning EnvironmentJon Harmon, Rasil Warnakulasooriya. [doi]
- Validating the Myth of Average through EvidencesPraseeda, Srinath Srinivasa, Prasad Ram. [doi]
- Scholars Walk: A Markov Chain Framework for Course RecommendationAgoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis. [doi]
- Detecting Creativity in an Open Ended Geometry EnvironmentRoi Shillo, Nicholas Hoernle, Kobi Gal. [doi]
- Content-based Course Recommender System for Liberal Arts EducationRaphaël Morsomme, Sofia Vazquez Alferez. [doi]
- Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning GameHuy Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren. [doi]
- Deep Hierarchical Knowledge TracingTianqi Wang, Fenglong Ma, Jing Gao 0004. [doi]
- Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner DialoguesArabella Sinclair, Kate McCurdy, Christopher G. Lucas, Adam Lopez, Dragan Gasevic. [doi]
- Using a Glicko-based Algorithm to Measure In-Course LearningRachel Reddick. [doi]
- Why Deep Knowledge Tracing has less Depth than AnticipatedXinyi Ding, Eric C. Larson. [doi]
- Automatic identification of questions in MOOC forums and association with self-regulated learningFatima Harrak, François Bouchet, Vanda Luengo, Rémi Bachelet. [doi]
- Teacher vs. Algorithm: Double-blind experiment of content sequencing in mathematicsBen Levy, Arnon Hershkovitz, Odelia Tzayada, Orit Ezra, Avi Segal, Kobi Gal, Anat Cohen, Michal Tabach. [doi]
- Neural Attentive Knowledge-based Model for Grade PredictionSara Morsy, George Karypis. [doi]
- Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal DevelopmentOded Vainas, Yossi Ben David, Ran Gilad-Bachrach, Meitar Ronen, Ori Bar-Ilan, Roi Shillo, Galit Lukin, Daniel Sitton. [doi]
- Individual Differences in Student Learning Aid UsageAndréa K. Davis, Yun Jin Rho, Daniel Furr. [doi]
- Toward Instrumenting Makerspaces: Using Motion Sensors to Capture Students' Affective States in Open-Ended Learning EnvironmentsLucia Ramirez, William Yao, Edwin Chng, Iulian Radu, Bertrand Schneider. [doi]
- Adding duration-based quality labels to learning events for improved description of students' online learning behaviorMatthew W. Guthrie, Zhongzhou Chen. [doi]
- Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone LearningMeng Cao, Philip I. Pavlik Jr., Gavin M. Bidelman. [doi]
- Balancing Student Success and Inferring Personalized Effects in Dynamic ExperimentsHammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty. [doi]
- Measuring students' thermal comfort and its impact on learningHan Jiang, Matthew Iandoli, Steven Van Dessel, Shichao Liu, Jacob Whitehill. [doi]
- Identifying Collaborative Learning States Using Unsupervised Machine Learning on Eye-Tracking, Physiological and Motion Sensor DataKarina Huang, Tonya Bryant, Bertrand Schneider. [doi]
- Supporting Minority Student Success by using Machine Learning to Identify At-Risk StudentsJ. D. Jayaraman, Sue Gerber, Julian Garcia. [doi]
- Detecting Wheel Spinning and Productive Persistence in Educational GamesV. Elizabeth Owen, Marie-Helene Roy, K. P. Thai, Vesper Burnett, Daniel Jacobs, Eric Keylor, Ryan S. Baker. [doi]
- Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response DataTanya Nazaretsky, Sara Hershkovitz, Giora Alexandron. [doi]
- Predicting the Quality of Collaborative Problem Solving Through Linguistic Analysis of DiscourseJoseph M. Reilly, Bertrand Schneider. [doi]
- Studying Factors Influencing the Prediction of Student STEM and Non-STEM Career ChoiceVarun Mandalapu, Jiaqi Gong. [doi]
- A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer GradingZichao Wang 0001, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk. [doi]
- Assessing the Fairness of Graduation PredictionsHenry Anderson, Afshan Boodhwani, Ryan S. Baker. [doi]
- Assessing Student Response in Tutorial Dialogue Context using Probabilistic Soft LogicRajendra Banjade, Vasile Rus. [doi]
- A Comparative Analysis of Emotional Words for Learning Effectiveness in Online EducationJaechoon Jo, YeongWook Yang, Gyeongmin Kim, HeuiSeok Lim. [doi]
- Active Learning for Student Affect DetectionTsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan. [doi]
- Investigating Error Resolution Processes in C Programming Exercise CoursesYuta Taniguchi, Atsushi Shimada, Shin'ichi Konomi. [doi]
- Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement LearningSong Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi. [doi]
- A Data-Driven Approach for Automated Assessment of Scientific Explanations in Science InquiryRachel Dickler, Haiying Li, Janice D. Gobert. [doi]
- Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational DataLujie Chen, Eva Gjekmarkaj, Artur Dubrawski. [doi]
- Academic Performance Estimation with Attention-based Graph Convolutional NetworksQian Hu, Huzefa Rangwala. [doi]
- Grade Prediction Based on Cumulative Knowledge and Co-taken CoursesZhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala. [doi]
- Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online CoursesJuan Miguel L. Andres-Bray, Jaclyn L. Ocumpaugh, Ryan S. Baker. [doi]
- Optimizing Assignment of Students to Courses based on Learning Activity AnalyticsAtsushi Shimada, Kousuke Mouri, Yuta Taniguchi, Hiroaki Ogata, Rin-ichiro Taniguchi, Shin'ichi Konomi. [doi]
- Utterance-level Modeling of Indicators of Engaging Classroom DiscourseCathlyn Stone, Patrick J. Donnelly, Meghan Dale, Sarah Capello, Sean Kelly, Amanda Godley, Sidney K. D'Mello. [doi]
- Towards the Prediction of Semantic Complexity Based on Concept GraphsRémi Venant, Mathieu d'Aquin. [doi]
- Predicting Student Dropout in Higher Education Based on Previous Exam ResultsAlexander Askinadze, Stefan Conrad 0001. [doi]
- What will you do next? A sequence analysis on the student transitions between online platforms in blended coursesNiki Gitinabard, Tiffany Barnes, Sarah Heckman, Collin F. Lynch. [doi]
- Modeling Student Performance and Disengagement Using Decomposition of Response Time DataDeniz Sonmez Unal. [doi]
- Rank-Based Tensor Factorization for Student Performance PredictionThanh-Nam Doan, Shaghayegh Sahebi. [doi]
- Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and OperationalizationsChuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven. [doi]
- N-gram Graphs for Topic Extraction in Educational ForumsGlenn M. Davis, Cindy Wang, Christina Yuan. [doi]
- Predicting student academic outcomes in UK secondary phase education: an architecture for machine learning and user interactionMatthew Woodruff. [doi]
- Grades are not Normal: Improving Exam Score Models Using the Logit-Normal DistributionNoah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech. [doi]
- Generalizing Expert Misconception Diagnoses Through Common Wrong Answer EmbeddingJohn Kolb, Scott Farrar, Zachary A. Pardos. [doi]
- Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and AffectAnthony F. Botelho, Ryan S. Baker, Neil T. Heffernan. [doi]
- It's a Match! Reciprocal Recommender System for Graduating Students and JobsAnik Jacobsen, Gerasimos Spanakis. [doi]
- Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and TasksRussell Moore, Andrew Caines, Mark Elliott, Ahmed H. Zaidi, Andrew Rice, Paula Buttery. [doi]
- A Novel Use of Educational Data Mining to Inform Effective Management of Academic ProgramsAnwar Ali Yahya, Fekri Abdulwadod Mohammed, Addin Osman. [doi]
- Categorizing students' questions using an ensemble hybrid approachFatima Harrak, François Bouchet, Vanda Luengo. [doi]
- Investigating effects of considering mobile and desktop learning data on predictive power of learning management system (LMS) features on student successVarshita Sher, Marek Hatala, Dragan Gasevic. [doi]
- Students' Use of Support Functions in DBAs: Analysis of NAEP Grade 8 Mathematics Process DataJuanita Hicks, Ruhan Circi, Mengyi (Elaine) Li. [doi]
- A Multivariate ELO-based Learner Model for Adaptive Educational SystemsSolmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic. [doi]
- Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor LearningYupei Zhang, Huan Dai, Yue Yun, Xuequn Shang. [doi]
- Detecting Suggestions in Peer AssessmentsGabriel Zingle, Balaji Radhakrishnan, Yunkai Xiao, Edward F. Gehringer, Zhongcan Xiao, Ferry Pramudianto, Gauraang Khurana, Ayush Arnav. [doi]
- Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom InstructionKorah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn. [doi]
- Visualizing Learning Performance Data and Model Predictions as Objects in a 3D SpaceBruno Emond, Julio J. Valdés. [doi]
- Using Latent Variable Models to Observe Academic PathwaysNate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke. [doi]
- ATC Framework: A fully Automatic Cognitive Tracing Model for Student and Educational ContentsYanjun Pu, Wenjun Wu 0001, Tianrui Jiang. [doi]
- Machine-Learned School Dropout Early Warning at ScaleS. Thomas Christie, Daniel C. Jarratt, Lukas A. Olson, Taavi T. Taijala. [doi]
- Mining University Registrar Records to Predict First-Year Undergraduate AttritionLovenoor S. Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, Jevin West. [doi]
- Clustering Students Based on Their Prior KnowledgeNisrine Ait Khayi, Vasile Rus. [doi]
- Modeling person-specific development of math skills in continuous time: New evidence for mutualismLu Ou, Abe D. Hofman, Vanessa R. Simmering, Timo Bechger, Gunter K. J. Maris, Han L. J. van der Maas. [doi]
- Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom InstructionKorah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn. [doi]
- Augmenting Transcripts with Natural Language Processing and Multimodal DataTyler Angert, Bertrand Schneider. [doi]
- Characterising Students' Writing Processes Using Temporal Keystroke AnalysisDonia Malekian, James Bailey 0001, Gregor E. Kennedy, Paula de Barba, Sadia Nawaz. [doi]
- Design of an Elective Course Recommendation System for University EnvironmentBoxuan Ma. [doi]
- Binary Q-matrix Learning with dAFMNan Jiang, Zachary A. Pardos. [doi]
- A Self Attentive model for Knowledge TracingShalini Pandey, George Karypis. [doi]
- Affective State Prediction in a Mobile Setting using Wearable Biometric Sensors and StylusRafael Wampfler, Severin Klingler, Barbara Solenthaler, Victor R. Schinazi, Markus Gross 0001. [doi]
- Collaborative Problem-Solving Process in A Science Serious Game: Exploring Group Action Similarity TrajectoryJina Kang, Dongwook An, Lili Yan, Min Liu 0004. [doi]
- Affect detection in home-based educational software for young childrenRoger Smeets, Francette L. Broekman, Eric Bouwers. [doi]
- Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response TheoryChun-Kit Yeung. [doi]
- One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming TasksYe Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi. [doi]
- Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics ProblemsHuy Nguyen, John C. Stamper, Bruce M. McLaren. [doi]
- How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students?Cecilia Aguerrebere, Monica Bulger, Cristóbal Cobo, Sofía García, Gabriela Kaplan, Jacob Whitehill. [doi]
- Design and Deployment of a Better University Course Search: Inferring Latent Keywords from EnrollmentsMatthew Dong, Run Yu, Zachary A. Pardos. [doi]
- Visualization and clustering of learner pathways in an interactive online learning environmentDaniel Furr. [doi]
- Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of StudentsEmily Jensen, Stephen Hutt, Sidney K. D'Mello. [doi]
- Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical ProficiencyAhmed H. Zaidi, Andrew Caines, Christopher Davis, Russell Moore, Paula Buttery, Andrew Rice. [doi]
- Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online CoursesGiora Alexandron, José A. Ruipérez Valiente, David E. Pritchard. [doi]
- Filtering non-relevant short answers in peer learning applicationsVincent Gagnon, Audrey Labrie, Sameer Bhatnagar, Michel C. Desmarais. [doi]
- Techniques for Automatically Evaluating Machine-Generated QuestionsZichao Wang 0001. [doi]
- Anatomy of mobile learners: Using learning analytics to unveil learning in presence of mobile devicesVarshita Sher. [doi]
- Implicit and Explicit Emotions in MOOCsMunira Syed, Malolan Chetlur, Shazia Afzal, G. Alex Ambrose, Nitesh V. Chawla. [doi]
- Gender Differences in Work-Integrated Learning AssessmentsShivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab. [doi]
- Exploring Neural Network Models for the Classification of Students in Highly Interactive EnvironmentsTanja Käser, Daniel L. Schwartz. [doi]
- A Comparison of Automated Scale Short Form Selection StrategiesAnthony W. Raborn, Walter L. Leite, Katerina M. Marcoulides. [doi]
- Investigating Writing Style Development in High SchoolStephan Lorenzen, Niklas Hjuler, Stephen Alstrup. [doi]
- What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social ConnectionYiqiao Xu, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes. [doi]
- Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student StatesByungSoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn Penstein Rosé. [doi]
- Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning SystemFangzhe Ai, Yishuai Chen, Yuchun Guo, Yongxiang Zhao, Zhenzhu Wang, Guowei Fu, Guangyan Wang. [doi]
- Identifying bias and underlying knowledge structures in Brazilian National Exam of Students PerformanceMariana S. Oliveira, Carlos E. Mello. [doi]
- Success prediction in MOOCs: A case studyAntoine Pigeau, Olivier Aubert, Yannick Prié. [doi]
- Improving Peer Assessment Accuracy by Incorporating Relative Peer GradesTianqi Wang, Qi Li 0012, Jing Gao 0004, Xia Jing, Jie Tang 0001. [doi]
- A Human-Machine Hybrid Peer Grading Framework for SPOCsYong Han, Wenjun Wu 0001, Suozhao Ji, Lijun Zhang, Hui Zhang 0028. [doi]
- A generalizable performance evaluation model of driving games via risk-weighted trajectoriesRory Flemming, Emmanuel Schmück, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater. [doi]
- Collaboration Analysis Using Object DetectionZhang Guo, Roghayeh Barmaki. [doi]
- Grading emails and generating feedbackAbhishek Unnam, Rohit Takhar, Varun Aggarwal. [doi]
- Shedding Light on the Automated Essay Scoring ProcessDavid Boulanger, Vivekanandan Kumar. [doi]
- Exploring the Link Between Motivations and GamingSteven Dang, Ken Koedinger. [doi]
- Smart Learning Object Recommendations based on Time-Dependent Learning Need ModelsChristopher Krauss, Agathe Merceron, Stefan Arbanowski. [doi]
- Towards discovering problem similarity through deep learning: combining problem features and user behaviorDominic Mussack, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite. [doi]
- Detecting Outlier Behaviors in Student Progress Trajectories Using a Repeated Fuzzy Clustering ApproachColm P. Howlin, Charles D. Dziuban. [doi]
- A Methodology for Student Video Interaction Patterns Analysis and ClassificationBoniface Mbouzao, Michel C. Desmarais, Ian Shrier. [doi]
- Exploring Stealth Assessment via Deep Learning in an Open-Ended Virtual EnvironmentJoseph M. Reilly, Chris Dede. [doi]
- Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite RelationsChen Liang 0001, Jianbo Ye, Han Zhao 0002, Bart Pursel, C. Lee Giles. [doi]
- The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational MeasuresShamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker. [doi]
- Application of Hidden Markov Models to quantify the impact of enrollment patterns on student performanceShahab Boumi, Adan Vela. [doi]
- The Guided Team-Partitioning Problem: Definition, Complexity, and AlgorithmSanaz Bahargam, Theodoros Lappas, Evimaria Terzi. [doi]
- Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning SkillsAnge Adrienne Nyamen Tato, Roger Nkambou, Aude Dufresne. [doi]
- Predicting Early and Often: Predictive Student Modeling for Block-Based Programming EnvironmentsAndrew Emerson, Andy Smith, Cody Smith, Fernando J. Rodríguez, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester. [doi]
- Toward Data-Driven Example Feedback for Novice ProgrammingRui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes. [doi]
- Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning GainsJacob Whitehill, Cecilia Aguerrebere, Benjamin Hylak. [doi]
- Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial DialoguesGuanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic. [doi]
- Toward Near Zero-Parameter Prediction Using a Computational Model of Student LearningDaniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger. [doi]
- DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of SkillsBenoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie. [doi]
- Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case StudyArmando Maciel Toda, Wilk Oliveira, Lei Shi 0003, Ig Ibert Bittencourt, Seiji Isotani, Alexandra I. Cristea. [doi]
- Learning Feature Analysis for Quality Improvement of Web-Based Teaching Materials Using Mouse Cursor TrackingMizuho Ikeda. [doi]
- Design and evaluation of a semantic indicator for automatically supporting programming learningJulien Broisin, Clément Hérouard. [doi]
- Modelling End-of-Session Actions in Educational SystemsChristian Hansen 0004, Casper Hansen, Stephen Alstrup, Christina Lioma. [doi]
- Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring SystemMarkel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi. [doi]
- Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College ApplicationsStephen Hutt, Margo Gardner, Angela L. Duckworth, Sidney K. D'Mello. [doi]
- Probabilistic Modeling of Peer Correction and Peer AssessmentTakeru Sunahase, Yukino Baba, Hisashi Kashima. [doi]
- Modeling and Experimental Design for MOOC Dropout Prediction: A Replication PerspectiveJosh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks. [doi]
- A Better Cold-Start for Early Prediction of Student At-Risk Status in New School DistrictsChad Coleman, Ryan S. Baker, Shonte Stephenson. [doi]
- Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum PostsGaurav Nanda, Kerrie Anna Douglas. [doi]