Abstract is missing.
- Modeling Creativity in Visual Programming: From Theory to PracticeAnastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal, Niels Pinkwart.
- The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experimentNilanjana Chakraborty, Samrat Roy, Walter L. Leite, George Michailidis.
- Methods for Language Learning Assessment at Scale: Duolingo Case StudyLucy Portnoff, Erin Gustafson, Joseph Rollinson, Klinton Bicknell.
- Improving Automated Scoring of Student Open Responses in MathematicsSami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan.
- The CommonLit Ease of Readability (CLEAR) CorpusScott A. Crossley, Aron Heintz, Joon Choi, Jordan Batchelor, Mehrnoush Karimi, Agnes Malatinszky.
- Grouping Source Code by Solution Approaches - Improving Feedback in Programming CoursesFrank Höppner.
- Automatic short answer grading with SBERT on out-of-sample questionsAubrey Condor, Max Litster, Zachary A. Pardos.
- Speeding up without Loss of Accuracy: Item Position Effects on Examinees' Performance in University ExamsLeonardo J. Vida, Maria Bolsinova, Matthieu J. S. Brinkhuis.
- Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining StudyMohammad S. Parsa, Lukasz Golab.
- Embedding navigation patterns for student performance predictionEkaterina Loginova, Dries Benoit.
- LMS Log Data Analysis from Fully-Online Flipped Classrooms: An Exploratory Case Study via RegularizationJin Eun Yoo, Minjeong Rho.
- Sex-Related Behavioral Differences in Online Math Classes: An Epistemic Network AnalysisYufei Gu, Kun Xu.
- Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge StateJoy He-Yueya, Adish Singla.
- Recommendation System for Engineering Programs CandidatesBruno Mota da Silva, Cláudia Antunes.
- Online Estimation of Student Ability and Item Difficulty with Glicko-2 Rating System on Stratified DataJaesuk Park.
- Assessing attendance by peer informationPan Deng, Jianjun Zhou, Jing Lyu, Zitong Zhao.
- Automatically classifying student help requests: a multi-year analysisZhikai Gao, Collin F. Lynch, Sarah Heckman, Tiffany Barnes.
- Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived AccuracyKimberly Williamson, René F. Kizilcec.
- Leveraging Survey and Motion Sensors Data to Promote Gender Inclusion in MakerspacesEdwin Chng, Stephanie Yang, Gahyun Sung, Tyler Yoo, Bertrand Schneider.
- From Detail to Context: Modeling Distributed Practice Intensity and Timing by Multiresolution Signal AnalysisCheng-Yu Chung, I-Han Hsiao.
- Student Strategy Prediction using a Neuro-Symbolic ApproachAnup Shakya, Vasile Rus, Deepak Venugopal.
- pyBKT: An Accessible Library of Bayesian Knowledge Tracing ModelsAnirudhan Badrinath, Frédéric Wang, Zachary A. Pardos.
- To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter DataConrad Borchers, Joshua Rosenberg 0001, Benjamin Gibbons, Macy Alana Burchfield, Christian Fischer 0007.
- Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem SolvingYihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price.
- Fair-Capacitated ClusteringTai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi.
- Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor ScoringsSylvio Rüdian, Niels Pinkwart.
- Do Common Educational Datasets contain Static Information? A Statistical StudyThéo Barollet, Florent Bouchez-Tichadou, Fabrice Rastello.
- UPreG: An Unsupervised approach for building the Concept Prerequisite GraphVarun Sabnis, Kumar Abhinav, Venkatesh Subramania, Alpana Dubey, Padmaraj Bhat.
- Extending Adaptive Spacing Heuristics to MultiSkill ItemsBenoît Choffin, Fabrice Popineau, Yolaine Bourda.
- Classroom Analytics for the Teacher, by the Teacher: Building Interpretable Descriptors for Student Posture Analysis in a Physical ClassroomLujie Chen, David Gerritsen.
- More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student CodeYang Shi 0004, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price.
- Towards automated content analysis of feedback: A multi-language studyIkenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gasevic.
- Is It Fair? Automated Open Response GradingJohn A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan.
- Knowledge Transfer by Discriminative Pre-training for Academic Performance PredictionByungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi.
- Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain AdaptationNathan L. Henderson, Wookhee Min, Andrew Emerson, Jonathan P. Rowe, Seung Y. Lee, James Minogue, James C. Lester.
- Math Question Solving and MCQ Distractor Generation with attentional GRU NetworksNeisarg Dave, Riley Owen Bakes, Bart Pursel, C. Lee Giles.
- The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education CourseDimitrios Tzimas, Stavros N. Demetriadis.
- Automated Claim Identification Using NLP Features in Student Argumentative EssaysQian Wan 0005, Scott A. Crossley, Michelle Banawan, Renu Balyan, Danielle S. McNamara, Laura K. Allen.
- AQuAA: Analytics for Quality Assurance in AssessmentManqian Liao, Yigal Attali, Alina A. von Davier.
- Restructuring Curricular Patterns Using Bayesian NetworksAhmad Slim, Gregory L. Heileman, Chaouki T. Abdallah, Ameer Slim, Najem N. Sirhan.
- Demonstrating REACT: a Real-time Educational AI-powered Classroom ToolAjay Kulkarni, Olga Gkountouna.
- A New Readability Assessment ToolRebecca Watson, Ekaterina Kochmar.
- Student Performance Prediction Using Dynamic Neural ModelsMarina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis.
- Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student RolesAnirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar.
- SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered ResearchKexin Bella Yang, Xuejian Wang, Vanessa Echeverría, LuEttaMae Lawrence, Kenneth Holstein, Nikol Rummel, Vincent Aleven.
- Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one CoachingLujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski.
- Sentiment Analysis of Student Surveys - A Case Study on Assessing the Impact of the COVID-19 Pandemic on Higher Education TeachingHaydée Guillot Jiménez, Anna Carolina Finamore, Marco Antonio Casanova, Gonçalo Simões.
- Predicting Executive Functions in a Learning Game: Accuracy and Reaction TimeJing Zhang, Teresa M. Ober, Yang Jiang, Jan Plass, Bruce D. Homer.
- Learning Expert Models for Educationally Relevant Tasks using Reinforcement LearningChristopher J. MacLellan, Adit Gupta.
- LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive SequencesYuhao Zhou, Xihua Li 0002, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv 0001.
- Student Practice Sessions Modeled as ICAP Activity SilosAdam M. Gaweda, Collin F. Lynch.
- What you apply is not what you learn! Examining students' strategies in German capitalization tasksNathalie Rzepka, Hans-Georg Müller, Katharina Simbeck.
- Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learningQiao Zhang, Christopher MacLellan.
- Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work PlacementsShivangi Chopra, Lukasz Golab.
- Student-centric Model of Login Patterns: A Case Study with Learning Management SystemsVarun Mandalapu, Lujie Chen, Zhiyuan Chen, Jiaqi Gong.
- The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive PerformanceJiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs.
- Towards a Conception and Integration of an Educational Social Network into an Institutional Learning PlatformRomaric Bassole, Frédéric Tounwendyam Ouédraogo, Laurence Capus.
- Using Keystroke Analytics to Understand Cognitive Processes during WritingMo Zhang, Hongwen Guo, Xiang Li 0001.
- Targeting Design-Loop AdaptivityStephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter.
- Analyzing Student Success and Mistakes in Virtual Microscope Structure Search TasksBenjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart.
- Early Detection of At-risk Students based on Knowledge Distillation RNN ModelsRyusuke Murata, Tsubasa Minematsu, Atsushi Shimada.
- Predicting Student Performance Using Teacher Observation ReportsMenna Fateen, Tsunenori Mine.
- Topic Transitions in MOOCs: An Analysis StudyFareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini.
- Are Violations of Student Privacy "Quick and Easy"? Investigating the Privacy of Students' Images and Names in the Context of K-12 Educational Institution's Posts on FacebookMacy Burchfield, Joshua Rosenberg 0001, Conrad Borchers, Tayla Thomas, Benjamin Gibbons, Christian Fischer 0007.
- Experimental Evaluation of Similarity Measures for Educational ItemsJaroslav Cechák, Radek Pelánek.
- Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming TasksYe Mao, Yang Shi 0004, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi.
- Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning ProgrammingJuho Leinonen 0001, Francisco Enrique Vicente Castro, Arto Hellas.
- Automatic Assessment of the Design Quality of Python Programs with Personalized FeedbackJ. Walker Orr, Nathaniel Russell.
- Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of EngagementBenjamin Nye, Mark G. Core, Shikhar Jaiswal, Aviroop Ghosal, Daniel Auerbach.
- Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online CoursesMirko Marras, Julien Tuan Tu Vignoud, Tanja Käser.
- Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice ProgrammingSamiha Marwan, Yang Shi 0004, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price.
- Measuring the Academic Impact of Course Sequencing using Student Grade DataTess Gutenbrunner, Daniel D. Leeds, Spencer Ross, Michael Riad-Zaky, Gary Weiss 0001.
- Integrating Deep Learning into An Automated Feedback Generation System for Automated Essay ScoringChang Lu, Maria Cutumisu.
- Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain PredictionPichayut Liamthong, Jacob Whitehill.
- SimGrade: Using Code Similarity Measures for More Accurate Human GradingSonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech.
- Detecting Careless Responding to Assessment Items in a Virtual Learning Environment Using Person-fit Indices and Random ForestSanaz Nazari, Walter L. Leite, Anne Corinne Huggins-Manley.
- Finding the optimal topic sequence for online courses using SERPs as a ProxySylvio Rüdian, Niels Pinkwart.
- A Novel Algorithm for Aggregating Crowdsourced OpinionsEthan Prihar, Neil Heffernan.
- Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized PredictionsFlorian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia, Tiffany S. Jastrzembski.
- Behavioral Testing of Deep Knowledge Tracing ModelsMinsam Kim, Yugeun Shim, Seewoo Lee, Hyunbin Loh, Juneyoung Park.
- Benefits of alternative evaluation methods for Automated Essay ScoringØistein E. Andersen, Rebecca Watson, Zheng Yuan 0003, Kevin Yet Fong Cheung.
- Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout PredictionSeewoo Lee, Kyu Seok Kim, Jamin Shin, Juneyoung Park.
- Predicting Young Students' Self-Regulated Learning Deficits Through Their Activity and Self-Evaluation TracesThomas Sergent, Morgane Daniel, François Bouchet, Thibault Carron.
- Mining Course Groupings based on Academic PerformanceDaniel D. Leeds, Tianyi Zhang, Gary Weiss 0001.
- Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum PostsLele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen.
- On the Limitations of Human-Computer Agreement in Automated Essay ScoringAfrizal Doewes, Mykola Pechenizkiy.
- Toward Improving Student Model Estimates through Assistance Scores in Principle and in PracticeNapol Rachatasumrit, Kenneth R. Koedinger.
- Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-EnrollmentsGary Weiss 0001, Nam Nguyen, Karla Dominguez, Daniel D. Leeds.
- Analysis of stopping criteria for Bayesian Adaptive Mastery AssessmentAndroniki Sapountzi, Sandjai Bhulai, Ilja Cornelisz, Chris van Klaveren.
- Early Prediction of Conceptual Understanding in Interactive SimulationsJade Cock, Mirko Marras, Christian Giang, Tanja Käser.
- ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer AssessmentsQinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid, Edward F. Gehringer.
- Catalog: An educational content tagging systemSaad Khan 0003, Joshua Rosaler, Jesse Hamer, Tiago Almeida.
- Gaining Insights on Student Course Selection in Higher Education with Community DetectionErla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir.
- Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the WildSamuel L. Pugh, Shree Krishna Subburaj, Arjun Ramesh Rao, Angela Stewart, Jessica Andrews-Todd, Sidney D'Mello.
- Context-aware knowledge tracing integrated with the exercise representation and association in mathematicsTao Huang 0017, Mengyi Liang, Huali Yang, Zhi Li, Tao Yu, Shengze Hu.
- Automatic Domain Model Creation and ImprovementPhilip I. Pavlik Jr., Luke Eglington, Liang Zhang.
- Predictive Sequential Pattern Mining via Interpretable Convolutional Neural NetworksLan Jiang, Nigel Bosch.
- Estimating the Intelligent Tutor Effects on Specific Posttest ProblemsAdam Sales, Ethan Prihar, Neil Heffernan, John Pane.
- Generate: A NLG system for educational content creationSaad Khan 0003, Jesse Hamer, Tiago Almeida.
- Mixed Data Sampling in Learning AnalyticsJulian Langenhagen.
- Exploring the Importance of Factors Contributing to Dropouts in Higher Education Over TimeHasan Tanvir, Irene-Angelica Chounta.
- Linguistic Features of Discourse within an Algebra Online Discussion BoardMichelle Banawan, Renu Balyan, Jinnie Shin, Walter L. Leite, Danielle S. McNamara.
- Towards Difficulty Controllable Selection of Next-Sentence Prediction QuestionsJingrong Feng, Jack Mostow.
- Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?Arabella Sinclair, Bertrand Schneider.
- Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured ProblemsAli Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech.
- Deep-IRT with independent student and item networksEmiko Tsutsumi, Ryo Kinoshita, Maomi Ueno.
- Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive ProgramsWengran Wang, Gordon Fraser 0001, Tiffany Barnes, Chris Martens, Thomas W. Price.
- Deep learning for sentence clustering in essay grading supportLi-hsin Chang, Iiro Rastas, Jenna Kanerva, Valtteri Skantsi, Sampo Pyysalo, Filip Ginter.
- Learning from Non-Assessed Resources: Deep Multi-Type Knowledge TracingChunpai Wang, Siqian Zhao, Shaghayegh Sahebi.
- Improving Automated Teacher Discourse Classification via Automated Reliability ModelingNicholas C. Hunkins, Emily Jensen, Sidney K. D'Mello.
- Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation LearningGuangyuan Piao.
- Feedback and Self-Regulated Learning in Science ReadingEffat Farhana, Andrew Potter, Teomara Rutherford, Collin F. Lynch.
- Analysis of Factors Influencing User Contribution and Predicting Involvement of Users on Stack OverflowMaliha Mahbub, Najia Manjur, Mahjabin Alam, Julita Vassileva.
- Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on LearningStephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker 0001.
- Towards fair, explainable and actionable clustering for learning analyticsTai Le Quy, Eirini Ntoutsi.
- Lockdown Learning: Changes in Online Study Activity and Performance of Dutch Secondary School Students during the COVID-19 PandemicMaarten van der Velde, Florian Sense, Rinske Spijkers, Martijn Meeter, Hedderik van Rijn.
- Learning student program embeddings using abstract execution tracesGuillaume Cleuziou, Frédéric Flouvat.
- ast2vec: Utilizing Recursive Neural Encodings of Python ProgramsBenjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef.
- Mining sequential patterns with high usage variationYingbin Zhang, Luc Paquette.
- Math Operation Embeddings for Open-ended Solution Analysis and FeedbackMengxue Zhang, Zichao Wang 0001, Richard G. Baraniuk, Andrew S. Lan.
- Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data MiningJeffrey Matayoshi, Shamya Karumbaiah.
- A Time-Aware Approach to Detect Patterns and Predict Help-Seeking Behaviour in Adaptive Educational SystemsRaquel Horta-Bartomeu, Olga C. Santos.