EDM B

123 papers

YearTitle / Authors
2021A New Readability Assessment Tool.
Rebecca Watson, Ekaterina Kochmar
2021A Novel Algorithm for Aggregating Crowdsourced Opinions.
Ethan Prihar, Neil T. Heffernan
2021A Time-Aware Approach to Detect Patterns and Predict Help-Seeking Behaviour in Adaptive Educational Systems.
Raquel Horta-Bartomeu, Olga C. Santos
2021ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments.
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer
2021AQuAA: Analytics for Quality Assurance in Assessment.
Manqian Liao, Yigal Attali, Alina A. von Davier
2021Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study.
Mohammad S. Parsa, Lukasz Golab
2021Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of Engagement.
Benjamin Nye, Mark G. Core, Shikhar Jaiswal, Aviroop Ghosal, Daniel Auerbach
2021Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching.
Lujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski
2021Analysis of Factors Influencing User Contribution and Predicting Involvement of Users on Stack Overflow.
Maliha Mahbub, Najia Manjur, Mahjabin Alam, Julita Vassileva
2021Analysis of stopping criteria for Bayesian Adaptive Mastery Assessment.
Androniki Sapountzi, Sandjai Bhulai, Ilja Cornelisz, Chris van Klaveren
2021Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements.
Shivangi Chopra, Lukasz Golab
2021Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks.
Benjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart
2021Are 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 Facebook.
Macy Burchfield, Joshua Rosenberg, Conrad Borchers, Tayla Thomas, Benjamin Gibbons, Christian Fischer
2021Assessing attendance by peer information.
Pan Deng, Jianjun Zhou, Jing Lyu, Zitong Zhao
2021Automated Claim Identification Using NLP Features in Student Argumentative Essays.
Qian Wan, Scott A. Crossley, Michelle P. Banawan, Renu Balyan, Danielle S. McNamara, Laura K. Allen
2021Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback.
J. Walker Orr, Nathaniel Russell
2021Automatic Domain Model Creation and Improvement.
Philip I. Pavlik Jr., Luke Eglington, Liang Zhang
2021Automatic short answer grading with SBERT on out-of-sample questions.
Aubrey Condor, Max Litster, Zachary A. Pardos
2021Automatically classifying student help requests: a multi-year analysis.
Zhikai Gao, Collin F. Lynch, Sarah Heckman, Tiffany Barnes
2021Behavioral Testing of Deep Knowledge Tracing Models.
Minsam Kim, Yugeun Shim, Seewoo Lee, Hyunbin Loh, Juneyoung Park
2021Benefits of alternative evaluation methods for Automated Essay Scoring.
Øistein E. Andersen, Rebecca Watson, Zheng Yuan, Kevin Yet Fong Cheung
2021Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses.
Mirko Marras, Julien Tuan Tu Vignoud, Tanja Käser
2021Catalog: An educational content tagging system.
Saad Khan, Joshua Rosaler, Jesse Hamer, Tiago Almeida
2021Classroom Analytics for the Teacher, by the Teacher: Building Interpretable Descriptors for Student Posture Analysis in a Physical Classroom.
Lujie Chen, David Gerritsen
2021Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions.
Florian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia, Tiffany S. Jastrzembski
2021Context-aware knowledge tracing integrated with the exercise representation and association in mathematics.
Tao Huang, Mengyi Liang, Huali Yang, Zhi Li, Tao Yu, Shengze Hu
2021Deep learning for sentence clustering in essay grading support.
Li-Hsin Chang, Iiro Rastas, Jenna Kanerva, Valtteri Skantsi, Sampo Pyysalo, Filip Ginter
2021Deep-IRT with independent student and item networks.
Emiko Tsutsumi, Ryo Kinoshita, Maomi Ueno
2021Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool.
Ajay Kulkarni, Olga Gkountouna
2021Detecting Careless Responding to Assessment Items in a Virtual Learning Environment Using Person-fit Indices and Random Forest.
Sanaz Nazari, Walter L. Leite, Anne Corinne Huggins-Manley
2021Do Common Educational Datasets contain Static Information? A Statistical Study.
Théo Barollet, Florent Bouchez-Tichadou, Fabrice Rastello
2021Early Detection of At-risk Students based on Knowledge Distillation RNN Models.
Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada
2021Early Prediction of Conceptual Understanding in Interactive Simulations.
Jade Cock, Mirko Marras, Christian Giang, Tanja Käser
2021Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation.
Nathan L. Henderson, Wookhee Min, Andrew Emerson, Jonathan P. Rowe, Seung Y. Lee, James Minogue, James C. Lester
2021Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy.
Kimberly Williamson, René F. Kizilcec
2021Embedding navigation patterns for student performance prediction.
Ekaterina Loginova, Dries F. Benoit
2021Estimating the Intelligent Tutor Effects on Specific Posttest Problems.
Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane
2021Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs.
Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price
2021Experimental Evaluation of Similarity Measures for Educational Items.
Jaroslav Cechák, Radek Pelánek
2021Exploring the Importance of Factors Contributing to Dropouts in Higher Education Over Time.
Hasan Tanvir, Irene-Angelica Chounta
2021Extending Adaptive Spacing Heuristics to MultiSkill Items.
Benoît Choffin, Fabrice Popineau, Yolaine Bourda
2021Fair-Capacitated Clustering.
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
2021Feedback and Self-Regulated Learning in Science Reading.
Effat Farhana, Andrew Potter, Teomara Rutherford, Collin F. Lynch
2021Finding the optimal topic sequence for online courses using SERPs as a Proxy.
Sylvio Rüdian, Niels Pinkwart
2021Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming.
Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas
2021From Detail to Context: Modeling Distributed Practice Intensity and Timing by Multiresolution Signal Analysis.
Cheng-Yu Chung, I-Han Hsiao
2021Gaining Insights on Student Course Selection in Higher Education with Community Detection.
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
2021Generate: A NLG system for educational content creation.
Saad Khan, Jesse Hamer, Tiago Almeida
2021Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems.
Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech
2021Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learning.
Qiao Zhang, Christopher MacLellan
2021Grouping Source Code by Solution Approaches - Improving Feedback in Programming Courses.
Frank Höppner
2021Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments.
Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds
2021Improving Automated Scoring of Student Open Responses in Mathematics.
Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan
2021Improving Automated Teacher Discourse Classification via Automated Reliability Modeling.
Nicholas C. Hunkins, Emily Jensen, Sidney K. D'Mello
2021Integrating Deep Learning into An Automated Feedback Generation System for Automated Essay Scoring.
Chang Lu, Maria Cutumisu
2021Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining.
Jeffrey Matayoshi, Shamya Karumbaiah
2021Is It Fair? Automated Open Response Grading.
John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan
2021Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming.
Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price
2021Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks.
Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
2021Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction.
Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi
2021LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences.
Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv
2021LMS Log Data Analysis from Fully-Online Flipped Classrooms: An Exploratory Case Study via Regularization.
Jin Eun Yoo, Minjeong Rho
2021Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning.
Christopher J. MacLellan, Adit Gupta
2021Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing.
Chunpai Wang, Siqian Zhao, Shaghayegh Sahebi
2021Learning student program embeddings using abstract execution traces.
Guillaume Cleuziou, Frédéric Flouvat
2021Leveraging Survey and Motion Sensors Data to Promote Gender Inclusion in Makerspaces.
Edwin Chng, Stephanie Yang, Gahyun Sung, Tyler Yoo, Bertrand Schneider
2021Linguistic Features of Discourse within an Algebra Online Discussion Board.
Michelle P. Banawan, Renu Balyan, Jinnie Shin, Walter L. Leite, Danielle S. McNamara
2021Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?
Arabella Sinclair, Bertrand Schneider
2021Lockdown Learning: Changes in Online Study Activity and Performance of Dutch Secondary School Students during the COVID-19 Pandemic.
Maarten van der Velde, Florian Sense, Rinske Spijkers, Martijn Meeter, Hedderik van Rijn
2021Math Operation Embeddings for Open-ended Solution Analysis and Feedback.
Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
2021Math Question Solving and MCQ Distractor Generation with attentional GRU Networks.
Neisarg Dave, Riley Owen Bakes, Bart Pursel, C. Lee Giles
2021Measuring the Academic Impact of Course Sequencing using Student Grade Data.
Tess Gutenbrunner, Daniel D. Leeds, Spencer Ross, Michael Riad-Zaky, Gary Weiss
2021Methods for Language Learning Assessment at Scale: Duolingo Case Study.
Lucy Portnoff, Erin Gustafson, Joseph Rollinson, Klinton Bicknell
2021Mining Course Groupings based on Academic Performance.
Daniel D. Leeds, Tianyi Zhang, Gary Weiss
2021Mining sequential patterns with high usage variation.
Yingbin Zhang, Luc Paquette
2021Mixed Data Sampling in Learning Analytics.
Julian Langenhagen
2021Modeling Creativity in Visual Programming: From Theory to Practice.
Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal, Niels Pinkwart
2021More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code.
Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price
2021On the Limitations of Human-Computer Agreement in Automated Essay Scoring.
Afrizal Doewes, Mykola Pechenizkiy
2021Online Estimation of Student Ability and Item Difficulty with Glicko-2 Rating System on Stratified Data.
Jaesuk Park
2021Predicting Executive Functions in a Learning Game: Accuracy and Reaction Time.
Jing Zhang, Teresa M. Ober, Yang Jiang, Jan Plass, Bruce D. Homer
2021Predicting Student Performance Using Teacher Observation Reports.
Menna Fateen, Tsunenori Mine
2021Predicting Young Students' Self-Regulated Learning Deficits Through Their Activity and Self-Evaluation Traces.
Thomas Sergent, Morgane Daniel, François Bouchet, Thibault Carron
2021Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks.
Lan Jiang, Nigel Bosch
2021Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021.
Sharon I-Han Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet, Jill-Jênn Vie
2021Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State.
Joy He-Yueya, Adish Singla
2021Recommendation System for Engineering Programs Candidates.
Bruno Mota da Silva, Cláudia Antunes
2021Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning.
Guangyuan Piao
2021Restructuring Curricular Patterns Using Bayesian Networks.
Ahmad Slim, Gregory L. Heileman, Chaouki T. Abdallah, Ameer Slim, Najem N. Sirhan
2021Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild.
Samuel L. Pugh, Shree Krishna Subburaj, Arjun Ramesh Rao, Angela Stewart, Jessica Andrews-Todd, Sidney D'Mello
2021Sentiment Analysis of Student Surveys - A Case Study on Assessing the Impact of the COVID-19 Pandemic on Higher Education Teaching.
Haydée Guillot Jiménez, Anna Carolina Finamore, Marco Antonio Casanova, Gonçalo Simões
2021Sex-Related Behavioral Differences in Online Math Classes: An Epistemic Network Analysis.
Yufei Gu, Kun Xu
2021Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning.
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker
2021SimGrade: Using Code Similarity Measures for More Accurate Human Grading.
Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech
2021SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research.
Kexin Bella Yang, Xuejian Wang, Vanessa Echeverría, LuEttaMae Lawrence, Kenneth Holstein, Nikol Rummel, Vincent Aleven
2021Speeding up without Loss of Accuracy: Item Position Effects on Examinees' Performance in University Exams.
Leonardo J. Vida, Maria Bolsinova, Matthieu J. S. Brinkhuis
2021Student Performance Prediction Using Dynamic Neural Models.
Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis
2021Student Practice Sessions Modeled as ICAP Activity Silos.
Adam M. Gaweda, Collin F. Lynch
2021Student Strategy Prediction using a Neuro-Symbolic Approach.
Anup Shakya, Vasile Rus, Deepak Venugopal
2021Student-centric Model of Login Patterns: A Case Study with Learning Management Systems.
Varun Mandalapu, Lujie Chen, Zhiyuan Chen, Jiaqi Gong
2021Targeting Design-Loop Adaptivity.
Stephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter
2021Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction.
Pichayut Liamthong, Jacob Whitehill
2021The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance.
Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs
2021The CommonLit Ease of Readability (CLEAR) Corpus.
Scott A. Crossley, Aron Heintz, Joon Suh Choi, Jordan Batchelor, Mehrnoush Karimi, Agnes Malatinszky
2021The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course.
Dimitrios Tzimas, Stavros N. Demetriadis
2021The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experiment.
Nilanjana Chakraborty, Samrat Roy, Walter L. Leite, George Michailidis
2021To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data.
Conrad Borchers, Joshua Rosenberg, Benjamin Gibbons, Macy Alana Burchfield, Christian Fischer
2021Topic Transitions in MOOCs: An Analysis Study.
Fareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini
2021Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice.
Napol Rachatasumrit, Kenneth R. Koedinger
2021Towards Difficulty Controllable Selection of Next-Sentence Prediction Questions.
Jingrong Feng, Jack Mostow
2021Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles.
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
2021Towards a Conception and Integration of an Educational Social Network into an Institutional Learning Platform.
Romaric Bassole, Frédéric Tounwendyam Ouédraogo, Laurence Capus
2021Towards automated content analysis of feedback: A multi-language study.
Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gasevic
2021Towards fair, explainable and actionable clustering for learning analytics.
Tai Le Quy, Eirini Ntoutsi
2021Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction.
Seewoo Lee, Kyu Seok Kim, Jamin Shin, Juneyoung Park
2021UPreG: An Unsupervised approach for building the Concept Prerequisite Graph.
Varun Sabnis, Kumar Abhinav, Venkatesh Subramania, Alpana Dubey, Padmaraj Bhat
2021Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor Scorings.
Sylvio Rüdian, Niels Pinkwart
2021Using Keystroke Analytics to Understand Cognitive Processes during Writing.
Mo Zhang, Hongwen Guo, Xiang Li
2021Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving.
Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price
2021What you apply is not what you learn! Examining students' strategies in German capitalization tasks.
Nathalie Rzepka, Hans-Georg Müller, Katharina Simbeck
2021Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts.
Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen
2021ast2vec: Utilizing Recursive Neural Encodings of Python Programs.
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
2021pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models.
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos