Table of Contents

• Differential Responses to Personalized Learning Recommendations Revealed by Event-Related AnalysisKevin Dieter, Jamie Studwell, Kirk Vanacore. [doi]
• Building Test Recommender Systems for e-Learning SystemsOana Maria Teodorescu. [doi]
• Predicting and Understanding Success in an Innovation-Based Learning CourseLauren Singelmann, Enrique Alvarez Vazquez, Ellen Swartz, Ryan Striker, Mary Pearson, Dan Ewert. [doi]
• Towards Fair Educational Data Mining: A Case Study on Detecting At-risk StudentsQian Hu, Huzefa Rangwala. [doi]
• Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning EngineeringMachi Shimmei, Noboru Matsuda. [doi]
• The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulationSteven Dang, Kenneth R. Koedinger. [doi]
• Estimation for cognitive load in Video-based learning through Physiological Data and Subjective Measurement by Video AnnotationIn-Hye Lee. [doi]
• Methodology to measure of similarity in student video sequence of interactionsBoniface Mbouzao, Michel C. Desmarais, Ian Shrier. [doi]
• Detecting Problem Statements in Peer AssessmentsYunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer. [doi]
• Confident Learning Curves in Additive Factor ModelingCyril Goutte, Guillaume Durand. [doi]
• Analyzing Student Strategies In Blended Courses Using Clickstream DataNil-Jana Akpinar, Aaditya Ramdas, Umut Acar. [doi]
• Structural Explanation of Automated Essay ScoringAfrizal Doewes, Mykola Pechenizkiy. [doi]
• Where to aim? Factors that influence the performance of Brazilian secondary schoolsPaulo J. L. Adeodato, Rogerio Luiz C. S. Filho. [doi]
• A Quantitative Machine Learning Approach to Master Students Admission for Professional InstitutionsYijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley. [doi]
• Using Edit Distance Trails to Analyze Path Solutions of Parsons PuzzlesSalil Maharjan, Amruth Kumar. [doi]
• Unsupervised Approach for Modeling Content Structures of MOOCsFareedah Alsaad, Abdussalam Alawini. [doi]
• An EDM-based Multimodal Method for Assessing Learners' Affective States in Collaborative Crisis Management Serious GamesIbtissem Daoudi, Erwan Tranvouez, Raoudha Chebil, Bernard Espinasse, Wided Lejouad Chaari. [doi]
• Return of the Student: Predicting Re-Engagement in Mobile LearningMaximillian Chen, René F. Kizilcec. [doi]
• Automatic Subject-based Contextualisation of Programming Assignment ListsSamuel C. Fonseca, Filipe Dwan Pereira, Elaine H. T. Oliveira, David Fernandes, Leandro S. G. Carvalho, Alexandra I. Cristea. [doi]
• Course Recommender Systems with Statistical ConfidenceZachary Warnes, Magnus Kinder, Evgueni N. Smirnov. [doi]
• PIPE: Predicting Logical Programming Errors in Programming ExercisesDezhuang Miao, Yu Dong, Xuesong Lu. [doi]
• IntelliMOOC: Intelligent Online Learning Framework for MOOC PlatformsPatara Trirat, Sakonporn Noree, Mun Yong Yi. [doi]
• Social Media Mining to Understand the Impact of Co-operative Education on Mental HealthMohammad S. Parsa, Lukasz Golab. [doi]
• Using online text books and in-class quizzes to predict in class performanceNoah Hunt-Isaak, Peter Cherniavsky, Mark Snyder, Huzefa Rangwala. [doi]
• Modeling Knowledge Acquisition from Multiple Learning Resource TypesSiqian Zhao, Chunpai Wang, Shaghayegh Sahebi. [doi]
• Self-Regulated Learning and Science Reading of Middle-School StudentsEffat Farhana. [doi]
• How we talk about math: Leveraging naturalistic datasets to define the discourse of math in contrast to other domainsRachel Jansen, Ruthe Foushee. [doi]
• A Dataset of Learnersourced Explanations from an Online Peer Instruction EnvironmentSameer Bhatnagar, Michel C. Desmarais, Amal Zouaq, Elizabeth S. Charles. [doi]
• How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year DifferencesJessica McBroom, Irena Koprinska, Kalina Yacef. [doi]
• Predicting Engagement in Video LecturesSahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor. [doi]
• Auto generation of diagnostic assessments and their quality evaluationSoma S. Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu, Aditi Avasthi. [doi]
• VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning AnalyticsZichao Wang 0001, Yi Gu, Andrew S. Lan, Richard G. Baraniuk. [doi]
• Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term RewardsSong Ju, Min Chi, Guojing Zhou. [doi]
• Measuring Ability-to-Learn Using Parametric Learning Gain FunctionsChris Piech, Engin Bumbacher, Richard L. Davis. [doi]
• Semi-supervised Learning Method for Adjusting Biased Item Difficulty Estimates Caused by Nonignorable Missingness under 2PL-IRT ModelKang Xue. [doi]
• Predicting Student Dropout by Mining Advisor NotesJ. D. Jayaraman. [doi]
• Incidence of teacher curricular emphasis in reading achievement of Uruguayan ninth-grade studentsLeonardo Moreno, Matías Núñez, Cecilia Emery, Inés Méndez, Elisa Borba, Eliana Lucián. [doi]
• Overcoming Foreign Language Anxiety in an Emotionally Intelligent Tutoring SystemDaneih Ismail. [doi]
• Exploration Maps, Beyond Top Scores: Designing Formative Feedback for Open-Ended ProblemsAditi Mallavarapu, Leilah Lyons. [doi]
• Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solvingMehak Maniktala, Tiffany Barnes, Min Chi. [doi]
• Investigating Relations between Self-Regulated Reading Behaviors and Science Question DifficultyEffat Farhana, Teomara Rutherford, Collin F. Lynch. [doi]
• Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem SolvingPaul Hur, Nigel Bosch, Luc Paquette, Emma Mercier. [doi]
• Linguistic Changes across Different User Roles in MOOCs: What do they tell us?Lavendini Sivaneasharajah, Katrina Falkner, Thushari Atapattu. [doi]
• The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based LearningKakyeong Kim, Il-Hyun Jo. [doi]
• Curriculum profile: modelling the gaps between curriculum and the job marketAleksandr Gromov, Andrei Maslennikov, Nikolas Dawson, Katarzyna Musial, Kirsty Kitto. [doi]
• Incorporating Task-specific Features into Deep Models to Classify Argument ComponentsLinting Xue, Collin F. Lynch. [doi]
• Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student DataRenzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu. [doi]
• First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in HebrewMoriah Ariely, Tanya Nazaretsky, Giora Alexandron. [doi]
• Predicting Student Performance in a Master's Program in Data Science using Admissions DataYijun Zhao, Qiangwen Xu, Ming Chen, Gary Weiss. [doi]
• Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected ModelsDebopam Sanyal, Nigel Bosch, Luc Paquette. [doi]
• Getting too personal(ized): The importance of feature choice in online adaptive algorithmsZhaobin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty. [doi]
• Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic AlgorithmsLovenoor S. Aulck, Dev Nambi, Jevin West. [doi]
• An effect-size-based temporal interestingness metric for sequential pattern miningYingbin Zhang, Luc Paquette. [doi]
• A method for generating features representing the students' degree of anticipation/delay to complete assignmentsFrancisco Cervera, Juan Lara. [doi]
• Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity?Oriane Dermy, Armelle Brun. [doi]
• An Empirical Analysis of Skewed Temporal Data for Distribution-based Course SimilarityTao Xie, Chaohua Gong, Geping Liu. [doi]
• Dynamic Knowledge Embedding and TracingLiangbei Xu, Mark A. Davenport. [doi]
• Prescribing Deep Attentive Score Prediction Attracts Improved Student EngagementYoungnam Lee, Byungsoo Kim, Dongmin Shin, Junghoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi. [doi]
• Predicting students' performance using emotion detection from face-recording video when interacting with an ITSWilson Chango, Miguel Sánchez-Santillán, Rebeca Cerezo, Cristóbal Romero. [doi]
• Zero-shot Learning of Hint Policy via Reinforcement Learning and Program SynthesisAleksandr Efremov, Ahana Ghosh, Adish Singla. [doi]
• Assessing Student Contributions in Wiki-based Collaborative Writing SystemTianyu Hu, Guangzhong Sun, Zhongtian Xu. [doi]
• Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learningChrista Cody, Mehak Maniktala, David Warren, Min Chi, Tiffany Barnes. [doi]
• Online Academic Course Performance Prediction using Relational Graph Convolutional Neural NetworkHamid Karimi, Tyler Derr, JiangTao Huang, Jiliang Tang. [doi]
• Are You Really a Team Player?: Profiles of collaborative problem solvers in an online environmentCarol Forsyth, Jessica Andrews-Todd, Jonathan Steinberg. [doi]
• Investigating Students' Learning in Online Learning EnvironmentLavendini Sivaneasharajah, Katrina Falkner, Thushari Atapattu. [doi]
• Towards Temporality-Sensitive Recurrent Neural Networks through Enriched TracesThomas Sergent, François Bouchet, Thibault Carron. [doi]
• More Data and Better Keywords Imply Better Educational Transcript Classification?Theodora Danciulescu, Stella Heras, Javier Palanca, Vicente Julián, Cristian Mihaescu. [doi]
• Dynamic knowledge tracing through data driven recency weightsDeepak Agarwal, Ryan Baker 0001, Anupama Muraleedharan. [doi]
• A Procrastination Index for Online Learning Based on Assignment Start TimeLalitha Agnihotri, Ryan Baker 0001, Steve Stalzer. [doi]
• Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab AnalyserPhilipp Dumbach, Alexander Aly, Markus Zrenner, Björn M. Eskofier. [doi]
• Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning ApproachHang Li, Wenbiao Ding, Songfan Yang, Zitao Liu. [doi]
• The effect of teachers reassigning students to new Cognitive Tutor sectionsAdam Sales, John Pane. [doi]
• Whose Truth is the "Ground Truth"? College Admissions Essays and Bias in Word Vector Evaluation MethodsNoah Arthurs, A. J. Alvero. [doi]
• Exploring homophily in demographics and academic performance using spatial-temporal student networksQuan Nguyen, Oleksandra Poquet, Christopher Brooks, Warren Li. [doi]
• Next-Term Grade Prediction: A Machine Learning ApproachAudrey Tedja Widjaja, Lei Wang, Nghia Trong Truong, Aldy Gunawan, Ee-Peng Lim. [doi]
• Deep Embeddings of Contextual Assessment Data for Improving Performance PredictionBenjamin Clavié, Kobi Gal. [doi]
• Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and EquityJessica McBroom, Kalina Yacef, Irena Koprinska. [doi]
• Educational Data Mining and Personalized Support in Online Introductory Physics CoursesFarook Al-Shamali, Hongxin Yan, Sabine Graf, Fuhua Lin. [doi]
• Erroneous Answers Categorization for Sketching Questions in Spatial Visualization TrainingTiffany Wenting Li, Luc Paquette. [doi]
• Evaluating sources of course information and models of representation on a variety of institutional prediction tasksWeijie Jiang, Zachary A. Pardos. [doi]
• Claim Detection and Relationship with Writing QualityQian Wan, Scott A. Crossley, Laura K. Allen, Danielle S. McNamara. [doi]
• Developing Curriculum Analytics and Student Social Networking for Graduate Employability ModelAleksandr Gromov. [doi]
• CSCLRec: Personalized Recommendation of Forum Posts to Support Socio-collaborative LearningZhaorui Chen, Carrie Demmans Epp. [doi]
• Decomposition of Response Time to Give Better Predictions of Children's Reading ComprehensionZhila Aghajari, Deniz Sonmez Unal, Mesut Erhan Unal, Ligia Gómez, Erin Walker. [doi]
• The NAEP EDM Competition: Theory-Driven Psychometrics and Machine Learning for Predictions Based on Log DataFabian Zehner, Scott Harrison, Beate Eichmann, Tobias Deribo, Daniel Bengs, Nico Andersen, Carolin Hahnel. [doi]
• Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process RegressionBita Akram, Hamoon Azizsoltani, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Anam Navied, Kristy Elizabeth Boyer, James C. Lester. [doi]
• Iterative Feature Engineering Through Text Replays of Model ErrorStefan Slater, Ryan Baker 0001, Yeyu Wang. [doi]
• Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to InstructorsAjay Kulkarni, Michael Eagle. [doi]
• Applying Recent Innovations from NLP to MOOC Student Course Trajectory ModelingClarence Chen, Zachary A. Pardos. [doi]
• Student Subtyping via EM-Inverse Reinforcement LearningXi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi. [doi]
• Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes ApproachMengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh. [doi]
• Student Teamwork on Programming Projects. What can GitHub logs show us?Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch. [doi]
• Crowd-sourcing and Automatic Generation of Semantic Information in Blended-Learning EnvironmentsElad Yacobson. [doi]
• Towards Suggesting Actionable Interventions for Wheel Spinning StudentsTong Mu, Andrea Jetten, Emma Brunskill. [doi]
• Variational Item Response Theory: Fast, Accurate, and ExpressiveMike Wu, Richard L. Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman. [doi]
• EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and StorageMark Klose, Vasvi Desai, Yang Song, Edward F. Gehringer. [doi]
• Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment FrameworkNathan Henderson, Vikram Kumara, Wookhee Min, Bradford W. Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester. [doi]
• Comparing and combining tests for plagiarism detection in online examsEdward F. Gehringer, Xiaohan Liu, Abhirav Kariya, Guoyi Wang. [doi]
• What Time is It? Student Modeling Needs to KnowYe Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi. [doi]
• Using Process Data to Evaluate Scientific Inquiry Practice in Technology-Enhanced AssessmentTao Gong, Lan Shuai, Burcu Arslan, Yang Jiang. [doi]
• Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning AnalyticsHuy Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren. [doi]
• Discovering the Prerequisite Relationships Among Instructional Videos From SubtitlesMehmet Cem Aytekin, Stefan Räbiger, Yücel Saygin. [doi]
• Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approachMaciej Pankiewicz. [doi]
• Image Reconstruction of Tablet Front Camera Recordings in Educational SettingsRafael Wampfler, Andreas Emch, Barbara Solenthaler, Markus Gross 0001. [doi]
• The Results of Zone of Proximal Development on Learning OutcomeShengni Wang, Yuxin Zhao, Wei Ma, Zhenjun Ma, Ryan Baker 0001. [doi]
• Data Efficient Educational Assessment via Multi-Dimensional Pairwise ComparisonsHyunbin Loh, Piljae Chae, Chanyou Hwang. [doi]
• qDKT: Question-centric Deep Knowledge TracingShashank Sonkar, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk. [doi]
• Toward a deep convolutional LSTM for eye gaze spatiotemporal data sequence classificationKomi Sodoké, Roger Nkambou, Aude Dufresne, Issam Tanoubi. [doi]
• Mutual spontaneous aid between students in distance learning and the role of the feeling of social belonging to a training groupDalila Bebbouchi. [doi]
• "Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion ForumsNigel Bosch, R. Wes Crues, Najmuddin Shaik, Luc Paquette. [doi]
• Recommending Remedial Readings Using Student's Knowledge stateKhushboo Thaker, Lei Zhang, Daqing He, Peter Brusilovksy. [doi]
• EAnalyst: Toward Understanding Large-scale Educational DataTao Huang 0017, Zhi Li, Hao Zhang, Huali Yang, Hekun Xie. [doi]
• Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative AnalysisHannah Valdiviejas, Nigel Bosch. [doi]
• Natural Language Processing for Open Ended Questions in Mathematics within Intelligent Tutoring SystemsJohn Erickson. [doi]
• Problem detection in peer assessments between subjects by effective transfer learning and active learningYunkai Xiao, Gabriel Zingle, Qinjin Jia, Shoaib Akbar, Song Yang, Muyao Dong, Li Qi, Edward F. Gehringer. [doi]
• Effective Forum Curation via Multi-task LearningFaeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi. [doi]
• Course Recommendation for University EnvironmentBoxuan Ma, Yuta Taniguchi, Shin'ichi Konomi. [doi]