Abstract is missing.
- Improving Stealth Assessment in Game-based Learning with LSTM-based AnalyticsBita Akram, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Boyer, James C. Lester. [doi]
- A Comparison of Features for the Automatic Labeling of Student answers to Open-ended QuestionsJesus Gerardo Alvarado Mantecon, Hadi Abdi Ghavidel, Amal Zouaq, Jelena Jovanovic, Jenny McDonald. [doi]
- Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer EvaluationZhiqiang Cai, Art Graesser, Leah Windsor, Qinyu Cheng, David W. Shaffer, Xiangen Hu. [doi]
- Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task LearningHarvineet Singh, Shiv Kumar Saini, Ritwick Chaudhry, Pradeep Dogga. [doi]
- Student Performance Prediction by Discovering Inter-Activity RelationsShaghayegh Sahebi, Peter Brusilovsky. [doi]
- Predicting Quitting in Students Playing a Learning GameShamya Karumbaiah, Ryan S. Baker, Valerie J. Shute. [doi]
- Gender Differences in Undergraduate Engineering Applicants: A Text Mining ApproachShivangi Chopra, Hannah Gautreau, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab. [doi]
- Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video AnalysisArkar Min Aung, Anand Ramakrishnan, Jacob Whitehill. [doi]
- Predicting Student Enrollment based on Student and College CharacteristicsAhmad Slim, Don Hush, Tushar Ojha, Terry Babbitt. [doi]
- A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University StudentsAurora Esteban, Amelia Zafra Gómez, Cristobal Romero. [doi]
- Using a Common Sense Knowledge Base to Auto Generate Multi-Dimensional Vocabulary AssessmentsRuhi Sharma Mittal, Seema Nagar, Mourvi Sharma, Utkarsh Dwivedi, Prasenjit Dey, Ravi Kokku. [doi]
- Analyzing the relative learning benefits of completing required activities and optional readings in online coursesPaulo Carvalho, Min Gao, Benjamin Motz, Ken Koedinger. [doi]
- Is the Doer Effect Robust Across Multiple Data Sets?Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand. [doi]
- Document Chunking and Learning Objective Generation for Instruction DesignKhoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania. [doi]
- Exploring Collaboration Using Motion Sensors and Multi-Modal Learning AnalyticsJoseph Reilly, Milan Ravenell, Bertrand Schneider. [doi]
- Predictive Student Modeling for Interventions in Online ClassesMichael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin. [doi]
- Predicting Learning by Analyzing Eye-Gaze Data of Reading BehaviorRamkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas. [doi]
- GritNet: Student Performance Prediction with Deep LearningByung-Hak Kim, Ethan Vizitei, Varun Ganapathi. [doi]
- Feature extraction for classifying students based on their academic performanceAgoritsa Polyzou, George Karypis. [doi]
- Intelligent Instructional Hand OffsStephen Fancsali, Michael Yudelson, Susan R. Berman, Steven Ritter. [doi]
- LeCoRe: A Framework for Modeling Learner's preferenceKumar Abhinav, Venkatesh Subramanian, Alpana Dubey, Padmaraj Bhat, Aditya Divakaruni Venkat. [doi]
- Mining User Trajectories in Electronic Text BooksAhcène Boubekki, Shailee Jain, Ulf Brefeld. [doi]
- Machine Beats Human at Sequencing Visuals for Perceptual-Fluency PracticeAyon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu 0001. [doi]
- Textbook annotations as an early predictor of student learningAdam Winchell, Michael Mozer, Andrew S. Lan, Phillip Grimaldi, Harold Pashler. [doi]
- Tracking Behavioral Patterns among Students in an Online Educational SystemStephan Lorenzen, Niklas Hjuler, Stephen Alstrup. [doi]
- Clustering the Learning Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring SystemYing Fang, Keith T. Shubeck, Anne Lippert, Qinyu Cheng, Genghu Shi, Shi Feng, Jessica Gatewood, Su Chen, Zhiqiang Cai, Philip I. Pavlik, Jan Frijters, Daphne Greenberg, Arthur C. Graesser. [doi]
- Job Description Mining to Understand Work-Integrated LearningShivangi Chopra, Lukasz Golab. [doi]
- Using Big Data to Sharpen Design-Based Inference in A/B TestsAdam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan. [doi]
- Standard error considerations on AFM parametersGuillaume Durand, Cyril Goutte, Serge Léger. [doi]
- ELBA: Exceptional Learning Behavior AnalysisXin Du, Wouter Duivesteijn, Mykola Pechenizkiy. [doi]
- Understanding Learners' Opinion about Participation Certificates in Online Courses using Topic ModelingGaurav Nanda, Nathan M. Hicks, David R. Waller, Kerrie Anna Douglas, Dan Goldwasser. [doi]
- Using Student Logs to Build Bayesian Models of Student Knowledge and SkillsHuy Nguyen, Chun Wai Liew. [doi]
- Predicting Individualized Learner Models Across Tutor LessonsMichael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren. [doi]
- Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic FeaturesScott A. Crossley, Jaclyn Ocumpaugh, Matthew J. Labrum, Franklin Bradfield, Mihai Dascalu, Ryan S. Baker. [doi]
- Mining Student Misconceptions from Pre- and Post-Testing DataÁngel Pérez-Lemonche, Byron Drury, David Pritchard. [doi]
- What can we learn from college students' network transactions? Constructing useful features for student success predictionIan Pytlarz, Shi Pu, Monal Patel, Rajini Prabhu. [doi]
- Principles for Assessing Adaptive Online CoursesWeiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng 0002, Da Cao. [doi]
- Re-designing the Structure of Online Courses to Empower Educational Data MiningZhongzhou Chen, Sunbok Lee, Geoffrey Garrido. [doi]
- Knowledge Tracing Using the BrainDavid Halpern, Shannon Tubridy, Hong-Yu Wang, Camille Gasser, Pamela Osborn Popp, Lila Davachi, Todd M. Gureckis. [doi]
- Understanding Student Procrastination via Mixture ModelsJihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth, Mark Warschauer. [doi]
- Automated Speech Act Categorization of Chat Utterances in Virtual InternshipsDipesh Gautam, Nabin Maharjan, Art Graesser, Vasile Rus. [doi]
- Data-Driven Approach Towards a Personalized CurriculumMichael Backenköhler, Felix Scherzinger, Adish Singla, Verena Wolf. [doi]
- An Open Vocabulary Approach for Estimating Teacher Use of Authentic Questions in Classroom DiscourseConnor Cook, Andrew Olney, Sean Kelly, Sidney D'Mello. [doi]
- Predicting Student Performance Based on Online Study Habits: A Study of Blended CoursesAdithya Sheshadri, Niki Gitinabard, Collin Lynch, Tiffany Barnes, Sarah Heckman. [doi]
- Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning ActivityCecilia Aguerrebere, Cristobal Cobo, Jacob Whitehill. [doi]
- Prediction of Academic Achievement Based on Digital CampusZheng Wang, Xinning Zhu, Junfei Huang, Xiang Li, Yang Ji. [doi]
- Mining MOOC Lecture Transcripts to Construct Concept Dependency GraphsFareedah Alsaad, Assma Boughoula, Chase Geigle, Hari Sundaram, ChengXiang Zhai. [doi]
- Filtered Time Series Analyses of Student Problem-Solving Behaviors in Game-based LearningRobert Sawyer, Jonathan P. Rowe, Roger Azevedo, James C. Lester. [doi]
- Who they are and what they want: Understanding the reasons for MOOC enrollmentR. Wes Crues, Nigel Bosch, Carolyn J. Anderson, Michelle Perry, Suma Bhat, Najmuddin Shaik. [doi]
- Accurate Measurement of Lexical Sophistication in ESL with Reference to Learner DataBen Naismith, Na-Rae Han, Alan Juffs, Brianna Hill, Daniel Zheng. [doi]
- Towards a Model-Free Estimate of the Limits to Student Modeling AccuracyBinglin Chen, Matthew West 0001, Craig B. Zilles. [doi]
- QuanTyler : Apportioning Credit for Student Forum ParticipationAnkita Bihani, Andreas Paepcke. [doi]
- Modeling the Effects of Students' Interactions with Immersive Simulations using Markov Switching SystemsNicholas Hoernle, Ya'akov Gal, Barbara J. Grosz, Pavlos Protopapas, Andee Rubin. [doi]
- How many friends can you make in a week?: evolving social relationships in MOOCs over timeYiqiao Xu, Collin Lynch, Tiffany Barnes. [doi]
- Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social FeaturesNiki Gitinabard, Farzaneh Khoshnevisan, Collin Lynch, Elle Yuan Wang. [doi]
- Identifying Profiles of Collaborative Problem Solvers in an Online Electronics EnvironmentJessica Andrews-Todd, Carol Forsyth, Jonathan Steinberg, André Rupp. [doi]
- Constructing Cognitive Profiles for Simulation-Based Hiring AssessmentsRebecca Kantar, Keith McNulty, Erica L. Snow, Matthew A. Emery, Richard Wainess, Sonia Doshi. [doi]
- Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner ClickstreamsWeiyu Chen, Andrew S. Lan, Da Cao, Christopher G. Brinton, Mung Chiang. [doi]
- Forgetting curves and testing effect in an adaptive learning and assessment systemJeffrey Matayoshi, Umberto Granziol, Christopher Doble, Hasan Uzun, Eric Cosyn. [doi]
- The influence of task activity and the learner's personal characteristics on self-confidence during an online explanation activity with a conversational agentYugo Hayashi, Yugo Takeuchi. [doi]
- Contextual Derivation of Stable BKT Parameters for Analysing Content EfficacyDeepak Agarwal, Nishant Babel, Ryan Baker. [doi]
- An Empirical Research on Identifiability and Q-matrix Design for DINA modelPeng Xu, Michel C. Desmarais. [doi]
- Finding Topics in Enrollment DataBenjamin Motz, Thomas A. Busey, Martin E. Rickert, David Landy. [doi]
- Identifying User Engagement Patterns in an Online Video Discussion PlatformSeung-Yeon Lee, Hui Soo Chae, Gary Natriello. [doi]
- Does Deep Knowledge Tracing Model Interactions Among Skills?Shirly Montero, Akshit Arora, Sean Kelly, Brent Milne, Michael Mozer. [doi]
- Studying Affect Dynamics and Chronometry Using Sensor-Free DetectorsAnthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan. [doi]