{"id":497,"date":"2021-05-03T05:04:09","date_gmt":"2021-05-03T05:04:09","guid":{"rendered":"https:\/\/educationaldatamining.org\/edm2021\/?page_id=497"},"modified":"2022-03-16T22:27:39","modified_gmt":"2022-03-16T22:27:39","slug":"proceedings","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2021\/proceedings\/","title":{"rendered":"Proceedings"},"content":{"rendered":"\n<p><a href=\"https:\/\/educationaldatamining.org\/EDM2021\/EDM2021Proceedings.pdf\">Full Proceedings<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/channel\/UC8-4QLDjPJtKmVOxiIFdGMw\">Plenary Video Recordings<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/educationaldatamining.org\/EDM2021\/virtual\/papers.html\">Explore Papers by Keywords<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">List of Accepted Papers<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"#full\">Full Papers<\/a><\/li><li><a href=\"#short\">Short Papers<\/a><\/li><li><a href=\"#poster\">Poster Papers<\/a><\/li><li><a href=\"#jedm\">JEDM Papers<\/a><\/li><li><a href=\"#dc\">Doctoral Consortium Papers<\/a><\/li><li><a href=\"#industry\">Industry Papers<\/a><\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"full\">Full Papers<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Topic Transitions in MOOCs: An Analysis Study<\/strong><br>Fareedah Alsaad, Thomas Reichel, Yuchen Zeng and Abdussalam Alawini<\/td><\/tr><tr><td><strong>Student-centric Model of Login Patterns: A Case Study with Learning Management Systems<\/strong><br>Varun Mandalapu, Lujie Chen, Zhiyuan Chen and Jiaqi Gong<\/td><\/tr><tr><td><strong>Automatically classifying student help requests: a multi-year analysis<\/strong><br>Zhikai Gao, Collin Lynch, Sarah Heckman and Tiffany Barnes<\/td><\/tr><tr><td><strong>Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts<\/strong><br>Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic and Guanliang Chen<\/td><\/tr><tr><td><strong>Student Strategy Prediction using a Neuro-Symbolic Approach<\/strong><br>Anup Shakya, Vasile Rus and Deepak Venugopal<\/td><\/tr><tr><td><strong>SimPairing &#8211; Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research<\/strong><br>Kexin Yang, Xuejian Wang, Vanessa Echeverria, Luettamae Lawrence, Kenneth Holstein, Nikol Rummel and Vincent Aleven<\/td><\/tr><tr><td><strong>Estimating the Intelligent Tutor Effects on Specific Posttest Problems<\/strong><br>Adam Sales, Ethan Prihar, Neil Heffernan and John Pane<\/td><\/tr><tr><td><strong>Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming<\/strong><br>Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes and Thomas Price<\/td><\/tr><tr><td><strong>Math Operation Embeddings for Open-ended Solution Analysis and Feedback<\/strong><br>Mengxue Zhang, Zichao Wang, Richard Baraniuk and Andrew Lan<\/td><\/tr><tr><td><strong>Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing<\/strong><br>Chunpai Wang, Siqian Zhao and Shaghayegh Sahebi<\/td><\/tr><tr><td><strong>Improving Automated Scoring of Student Open Responses in Mathematics<\/strong><br>Sami Baral, Anthony F Botelho, John A Erickson, Priyanka Benachamardi and Neil T Heffernan<\/td><\/tr><tr><td><strong>Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses<\/strong><br>Mirko Marras, Julien Tuan Tu Vignoud and Tanja K\u00e4ser<\/td><\/tr><tr><td><strong>Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining<\/strong><br>Jeffrey Matayoshi and Shamya Karumbaiah<\/td><\/tr><tr><td><strong>Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks<\/strong><br>Ye Mao, Yang Shi, Samiha Marwan, Thomas Price, Tiffany Barnes and Min Chi<\/td><\/tr><tr><td><strong>Learning student program embeddings using abstract execution traces<\/strong><br>Guillaume Cleuziou and Fr\u00e9d\u00e9ric Flouvat<\/td><\/tr><tr><td><strong>Early Prediction of Conceptual Understanding in Interactive Simulations<\/strong><br>Jade Cock, Mirko Marras, Christian Giang and Tanja K\u00e4ser<\/td><\/tr><tr><td><strong>Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild<\/strong><br>Samuel Pugh, Shree Krishna Subburaj, Arjun Ramesh Rao, Angela Stewart, Jessica Andrews-Todd and Sidney D&#8217;Mello<\/td><\/tr><tr><td><strong>Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of Engagement<\/strong><br>Benjamin Nye, Mark G. Core, Shikhar Jaiswal, Aviroop Ghosal and Daniel Auerbach<\/td><\/tr><tr><td><strong>Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems<\/strong><br>Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah Goodman and Chris Piech<\/td><\/tr><tr><td><strong>Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation<\/strong><br>Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue and James Lester<\/td><\/tr><tr><td><strong>Student Performance Prediction Using Dynamic Neural Models<\/strong><br>Marina Delianidi, Konstantinos Diamantaras, George Chrysogonidis and Vasileios Nikiforidis<\/td><\/tr><tr><td><strong>Behavioral Testing of Deep Knowledge Tracing Models<\/strong><br>Minsam Kim, Yugeun Shim, Seewoo Lee, Hyunbin Loh and Juneyoung Park<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"short\">Short Papers<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>The effects of a personalized recommendation system on students\u2019 high-stakes achievement scores: A field experiment<\/strong><br>Nilanjana Chakraborty, Samrat Roy, Walter Leite and George Michailidis<\/td><\/tr><tr><td><strong>Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction<\/strong><br>Byungsoo Kim, Hangyeol Yu, Dongmin Shin and Youngduck Choi<\/td><\/tr><tr><td><strong>Sentiment Analysis of Student Surveys &#8211; A Case Study on Assessing the Impact of the COVID-19 Pandemic on Higher Education Teaching<\/strong><br>Hayd\u00e9e Guillot Jim\u00e9nez, Anna Carolina Finamore, Marco Antonio Casanova and Gon\u00e7alo Sim\u00f5es<\/td><\/tr><tr><td><strong>Exploring the Importance of Factors Contributing to Dropouts in Higher Education Over Time<\/strong><br>Hasan Tanvir and Irene-Angelica Chounta<\/td><\/tr><tr><td><strong>Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?<\/strong><br>Arabella Sinclair and Bertrand Schneider<\/td><\/tr><tr><td><strong>On the Limitations of Human-Computer Agreement in Automated Essay Scoring<\/strong><br>Afrizal Doewes and Mykola Pechenizkiy<\/td><\/tr><tr><td><strong>Predicting Student Performance Using Teacher Observation Reports<\/strong><br>Menna Fateen and Tsunenori Mine<\/td><\/tr><tr><td><strong>Context-aware knowledge tracing integrated with the exercise representation and association in mathematics<\/strong><br>Tao Huang, Mengyi Liang, Huali Yang, Zhi Li, Tao Yu and Shengze Hu<\/td><\/tr><tr><td><strong>Grouping Source Code by Solution Approaches &#8212; Improving Feedback in Programming Courses<\/strong><br>Frank H\u00f6ppner<\/td><\/tr><tr><td><strong>Embedding navigation patterns for student performance prediction<\/strong><br>Ekaterina Loginova and Dries Benoit<\/td><\/tr><tr><td><strong>Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning<\/strong><br>Guangyuan Piao<\/td><\/tr><tr><td><strong>Modeling Creativity in Visual Programming: From Theory to Practice<\/strong><br>Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal and Niels Pinkwart<\/td><\/tr><tr><td><strong>Fair-Capacitated Clustering<\/strong><br>Tai Le Quy, Arjun Roy, Gunnar Friege and Eirini Ntoutsi<\/td><\/tr><tr><td><strong>A Novel Algorithm for Aggregating Crowdsourced Opinions<\/strong><br>Ethan Prihar and Neil Heffernan<\/td><\/tr><tr><td><strong>pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models<\/strong><br>Anirudhan Badrinath, Frederic Wang and Zach Pardos<\/td><\/tr><tr><td><strong>Speeding up without Loss of Accuracy: Item Position Effects on Examinees\u2019 Performance in University Exams<\/strong><br>Leonardo Vida, Maria Bolsinova and Matthieu J. S. Brinkhuis<\/td><\/tr><tr><td><strong>Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learning<\/strong><br>Qiao Zhang and Christopher MacLellan<\/td><\/tr><tr><td><strong>Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy<\/strong><br>Kimberly Williamson and Rene Kizilcec<\/td><\/tr><tr><td><strong>Using Keystroke Analytics to Understand Cognitive Processes during Writing<\/strong><br>Mo Zhang, Hongwen Guo and Xiang Liu<\/td><\/tr><tr><td><strong>Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State<\/strong><br>Joy He-Yueya and Adish Singla<\/td><\/tr><tr><td><strong>Automated Claim Identification Using NLP Features in Student Argumentative Essays<\/strong><br>Qian Wan, Scott Crossley, Michelle Banawan, Renu Balyan, Danielle McNamara and Laura Allen<\/td><\/tr><tr><td><strong>ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments<\/strong><br>Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid and Edward Gehringer<\/td><\/tr><tr><td><strong>Finding the optimal topic sequence for online courses using SERPs as a Proxy<\/strong><br>Sylvio R\u00fcdian and Niels Pinkwart<\/td><\/tr><tr><td><strong>Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions<\/strong><br>Florian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia and Tiffany Jastrzembski<\/td><\/tr><tr><td><strong>Assessing attendance by peer information<\/strong><br>Pan Deng, Jianjun Zhou, Jing Lyu and Zitong Zhao<\/td><\/tr><tr><td><strong>Do Common Educational Datasets contain Static Information? A Statistical Study<\/strong><br>Th\u00e9o Barollet, Florent Bouchez-Tichadou and Fabrice Rastello<\/td><\/tr><tr><td><strong>Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning<\/strong><br>Christopher Maclellan and Adit Gupta<\/td><\/tr><tr><td><strong>LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences<\/strong><br>Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye and Jiancheng Lv<\/td><\/tr><tr><td><strong>Math Question Solving and MCQ Distractor Generation with attentional GRU Networks<\/strong><br>Neisarg Dave, Riley Owen Bakes, Bart Pursel and C. Lee Giles<\/td><\/tr><tr><td><strong>Targeting Design-Loop Adaptivity<\/strong><br>Stephen Fancsali, Hao Li, Michael Sandbothe and Steven Ritter<\/td><\/tr><tr><td><strong>Integrating Deep Learning into An Automated Feedback Generation System for Automated Essay Scoring<\/strong><br>Chang Lu and Maria Cutumisu<\/td><\/tr><tr><td><strong>Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning<\/strong><br>Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas and Ryan Baker<\/td><\/tr><tr><td><strong>Automatic short answer grading with SBERT on out-of-sample questions<\/strong><br>Aubrey Condor, Max Litster and Zachary Pardos<\/td><\/tr><tr><td><strong>More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code<\/strong><br>Yang Shi, Ye Mao, Tiffany Barnes, Min Chi and Thomas Price<\/td><\/tr><tr><td><strong>Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice<\/strong><br>Napol Rachatasumrit and Kenneth Koedinger<\/td><\/tr><tr><td><strong>From Detail to Context: Modeling Distributed Practice Intensity and Timing by Multiresolution Signal Analysis<\/strong><br>Cheng-Yu Chung and I-Han Hsiao<\/td><\/tr><tr><td><strong>What you apply is not what you learn! Examining students&#8217; strategies in German capitalization tasks<\/strong><br>Nathalie Rzepka, Hans-Georg M\u00fcller and Katharina Simbeck<\/td><\/tr><tr><td><strong>Experimental Evaluation of Similarity Measures for Educational Items<\/strong><br>Jaroslav \u010cech\u00e1k and Radek Pel\u00e1nek<\/td><\/tr><tr><td><strong>Student Practice Sessions Modeled as ICAP Activity Silos<\/strong><br>Adam Gaweda and Collin Lynch<\/td><\/tr><tr><td><strong>Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving<\/strong><br>Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes and Thomas Price<\/td><\/tr><tr><td><strong>Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks<\/strong><br>Benjamin Paa\u00dfen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio R\u00fcdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch and Niels Pinkwart<\/td><\/tr><tr><td><strong>Deep-IRT with independent student and item networks<\/strong><br>Emiko Tsutsumi, Ryo Kinoshita and Maomi Ueno<\/td><\/tr><tr><td><strong>Gaining Insights on Student Course Selection in Higher Education with Community Detection<\/strong><br>Erla Gu\u00f0r\u00fan Sturlud\u00f3ttir, Eyd\u00eds Arnard\u00f3ttir, G\u00edsli Hj\u00e1lmt\u00fdsson and Mar\u00eda \u00d3skarsd\u00f3ttir<\/td><\/tr><tr><td><strong>Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback<\/strong><br>Walker Orr and Nathaniel Russell<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"poster\">Poster Papers<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor Scorings<\/strong><br>Sylvio R\u00fcdian and Niels Pinkwart<\/td><\/tr><tr><td><strong>Towards automated content analysis of feedback: A multi-language study<\/strong><br>Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti and Dragan Ga\u0161evi\u0107<\/td><\/tr><tr><td><strong>Generate: A NLG system for educational content creation<\/strong><br>Saad Khan, Jesse Hamer and Tiago Almeida<\/td><\/tr><tr><td><strong>Detecting Careless Responding to Assessment Items in a Virtual Learning Environment Using Person-fit Indices and Random Forest<\/strong><br>Sanaz Nazari, Walter Leite and Anne Huggins-Manley<\/td><\/tr><tr><td><strong>Linguistic Features of Discourse within an Algebra Online Discussion Board<\/strong><br>Michelle Banawan, Renu Balyan, Jinnie Shin, Walter Leite and Danielle McNamara<\/td><\/tr><tr><td><strong>Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool<\/strong><br>Ajay Kulkarni and Olga Gkountouna<\/td><\/tr><tr><td><strong>Predicting Young Students&#8217; Self-Regulated Learning Deficits Through Their Activity and Self-Evaluation Traces<\/strong><br>Thomas Sergent, Morgane Daniel, Fran\u00e7ois Bouchet and Thibault Carron<\/td><\/tr><tr><td><strong>LMS Log Data Analysis from Fully-Online Flipped Classrooms: An Exploratory Case Study via Regularization<\/strong><br>Jin Eun Yoo and Minjeong Rho<\/td><\/tr><tr><td><strong>Catalog: An educational content tagging system<\/strong><br>Saad Khan, Joshua Rosaler, Jesse Hamer and Tiago Almeida<\/td><\/tr><tr><td><strong>Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs<\/strong><br>Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens and Thomas Price<\/td><\/tr><tr><td><strong>Mining Course Groupings based on Academic Performance<\/strong><br>Daniel Leeds, Tianyi Zhang and Gary Weiss<\/td><\/tr><tr><td><strong>Feedback and Self-Regulated Learning in Science Reading<\/strong><br>Effat Farhana, Andrew Potter, Teomara Rutherford and Collin F. Lynch<\/td><\/tr><tr><td><strong>The CommonLit Ease of Readability (CLEAR) Corpus<\/strong><br>Scott Crossley, Aron Heintz, Joon Choi, Jordan Batchelor, Mehrnoush Karimi and Agnes Malatinszky<\/td><\/tr><tr><td><strong>Measuring the Academic Impact of Course Sequencing using Student Grade Data<\/strong><br>Tess Gutenbrunner, Daniel Leeds, Spencer Ross, Michael Riad-Zaky and Gary Weiss<\/td><\/tr><tr><td><strong>Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements<\/strong><br>Shivangi Chopra and Lukasz Golab<\/td><\/tr><tr><td><strong>Leveraging Survey and Motion Sensors Data to Promote Gender Inclusion in Makerspaces<\/strong><br>Edwin Chng, Stephanie Yang, Gahyun Sung, Tyler Yoo and Bertrand Schneider<\/td><\/tr><tr><td><strong>Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction<\/strong><br>Seewoo Lee, Kyu Seok Kim, Jamin Shin and Juneyoung Park<\/td><\/tr><tr><td><strong>Deep learning for sentence clustering in essay grading support<\/strong><br>Li-Hsin Chang, Iiro Rastas, Jenna Kanerva, Valtteri Skantsi, Sampo Pyysalo and Filip Ginter<\/td><\/tr><tr><td><strong>Lockdown Learning: Changes in Online Study Activity and Performance of Dutch Secondary School Students during the COVID-19 Pandemic<\/strong><br>Maarten van der Velde, Florian Sense, Rinske Spijkers, Martijn Meeter and Hedderik van Rijn<\/td><\/tr><tr><td><strong>Restructuring Curricular Patterns Using Bayesian Networks<\/strong><br>Ahmad Slim, Gregory Heileman, Chaouki Abdallah, Ameer Slim and Najem Sirhan<\/td><\/tr><tr><td><strong>Improving Automated Teacher Discourse Classification via Automated Reliability Modeling<\/strong><br>Nicholas C. Hunkins, Emily Jensen and Sidney K. D&#8217;Mello<\/td><\/tr><tr><td><strong>Analysis of Factors Influencing User Contribution and Predicting Involvement of Users on Stack Overflow<\/strong><br>Maliha Mahbub, Najia Manjur, Mahjabin Alam and Julita Vassileva<\/td><\/tr><tr><td><strong>Automatic Domain Model Creation and Improvement<\/strong><br>Philip I. Pavlik Jr., Luke Eglington and Liang Zhang<\/td><\/tr><tr><td><strong>To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data<\/strong><br>Conrad Borchers, Joshua Rosenberg, Ben Gibbons, Macy Alana Burchfield and Christian Fischer<\/td><\/tr><tr><td><strong>The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course<\/strong><br>Dimitrios Tzimas and Stavros Demetriadis<\/td><\/tr><tr><td><strong>Sex-Related Behavioral Differences in Online Math Classes: An Epistemic Network Analysis<\/strong><br>Yufei Gu and Kun Xu<\/td><\/tr><tr><td><strong>SimGrade: Using Code Similarity Measures for More Accurate Human Grading<\/strong><br>Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami and Chris Piech<\/td><\/tr><tr><td><strong>Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments<\/strong><br>Gary Weiss, Nam Nguyen, Karla Dominguez and Daniel Leeds<\/td><\/tr><tr><td><strong>Early Detection of At-risk Students based on Knowledge Distillation RNN Models<\/strong><br>Ryusuke Murata, Tsubasa Minematsu and Atsushi Shimada<\/td><\/tr><tr><td><strong>Are Violations of Student Privacy \u201cQuick and Easy\u201d? Investigating the Privacy of Students\u2019 Images and Names in the Context of K-12 Educational Institution\u2019s Posts on Facebook<\/strong><br>Macy Burchfield, Joshua Rosenberg, Conrad Borchers, Tayla Thomas, Benjamin Gibbons and Christian Fischer<\/td><\/tr><tr><td><strong>Predicting Executive Functions in a Learning Game: Accuracy and Reaction Time<\/strong><br>Jing Zhang, Teresa Ober, Yang Jiang, Jan Plass and Bruce Homer<\/td><\/tr><tr><td><strong>Classroom Analytics for the Teacher, by the Teacher: Building Interpretable Descriptors for Student Posture Analysis in a Physical Classroom<\/strong><br>Lujie Chen and David Gerritsen<\/td><\/tr><tr><td><strong>A New Readability Assessment Tool<\/strong><br>Rebecca Watson and Ekaterina Kochmar<\/td><\/tr><tr><td><strong>Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks<\/strong><br>Lan Jiang and Nigel Bosch<\/td><\/tr><tr><td><strong>Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming<\/strong><br>Juho Leinonen, Francisco Enrique Vicente Castro and Arto Hellas<\/td><\/tr><tr><td><strong>Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles<\/strong><br>Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie and Amir Tamrakar<\/td><\/tr><tr><td><strong>Is It Fair? Automated Open Response Grading<\/strong><br>John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal and Neil Heffernan<\/td><\/tr><tr><td><strong>Towards Difficulty Controllable Selection of Next-Sentence Prediction Questions<\/strong><br>Jingrong Feng and Jack Mostow<\/td><\/tr><tr><td><strong>Analysis of stopping criteria for Bayesian Adaptive Mastery Assessment<\/strong><br>Androniki Sapountzi, Sandjai Bhulai, I. Cornelisz and Chris Van Klaveren<\/td><\/tr><tr><td><strong>Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study<\/strong><br>Mohammad Parsa and Lukasz Golab<\/td><\/tr><tr><td><strong>AQuAA: Analytics for Quality Assurance in Assessment<\/strong><br>Manqian Liao, Yigal Attali and Alina A. von Davier<\/td><\/tr><tr><td><strong>Mining sequential patterns with high usage variation<\/strong><br>Yingbin Zhang and Luc Paquette<\/td><\/tr><tr><td><strong>The Cold Start Problem and Interpretation of Knowledge Tracing Models\u2019 Predictive Performance<\/strong><br>Jiayi Zhang, Rohini Das, Ryan S. Baker and Richard Scruggs<\/td><\/tr><tr><td><strong>Recommendation System for Engineering Programs Candidates<\/strong><br>Bruno Mota da Silva and Claudia Antunes<\/td><\/tr><tr><td><strong>Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction<\/strong><br>Pichayut Liamthong and Jacob Whitehill<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"jedm\">JEDM Papers<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching<\/strong><br>Lujie Karen Chen, Joseph Ramsey and Artur Dubrawski<\/td><\/tr><tr><td><strong>ast2vec: Utilizing Recursive Neural Encodings of Python Programs<\/strong><br>Benjamin Paa\u00dfen, Jessica McBroom, Bryn Jeffries Grok, Irena Koprinska and Kalina Yacef<\/td><\/tr><tr><td><strong>Extending Adaptive Spacing Heuristics to MultiSkill Items<\/strong><br>Beno\u00eet Choffin, Fabrice Popineau and Yolaine Bourda<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"dc\">Doctoral Consortium Papers<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Towards fair, explainable and actionable clustering for learning analytics<\/strong><br>Tai Le Quy and Eirini Ntoutsi<\/td><\/tr><tr><td><strong>A Time-Aware Approach to Detect Patterns and Predict Help-Seeking Behaviour in Adaptive Educational Systems<\/strong><br>Raquel Horta-Bartomeu and Olga C. Santos<\/td><\/tr><tr><td><strong>Mixed Data Sampling in Learning Analytics<\/strong><br>Julian Langenhagen<\/td><\/tr><tr><td><strong>Towards a Conception and Integration of an Educational Social Network into an Institutional Learning Platform<\/strong><br>Romaric Bassole, Fr\u00e9d\u00e9ric T. Ouedraogo and Laurence Capus<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"industry\">Industry Papers<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Online Estimation of Student Ability and Item Difficulty with Glicko-2 Rating System on Stratified Data<\/strong><br>Jaesuk Park<\/td><\/tr><tr><td><strong>UPreG: An Unsupervised approach for building the Concept Prerequisite Graph<\/strong><br>Varun Sabnis, Kumar Abhinav, Venkatesh Subramania, Alpana Dubey and Padmaraj Bhat<\/td><\/tr><tr><td><strong>Benefits of alternative evaluation methods for Automated Essay Scoring<\/strong><br>\u00d8istein E. Andersen, Rebecca Watson, Zheng Yuan and Kevin Yet Fong Cheung<\/td><\/tr><tr><td><strong>Methods for Language Learning Assessment at Scale: Duolingo Case Study<\/strong><br>Lucy Portnoff, Erin Gustafson, Joseph Rollinson and Klinton Bicknell<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Full Proceedings Plenary Video Recordings Explore Papers by Keywords List of Accepted Papers Full Papers Short Papers Poster Papers JEDM Papers Doctoral Consortium Papers Industry<a href=\"https:\/\/educationaldatamining.org\/edm2021\/proceedings\/\" class=\"more-link\">View More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-497","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/pages\/497","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/comments?post=497"}],"version-history":[{"count":11,"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/pages\/497\/revisions"}],"predecessor-version":[{"id":585,"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/pages\/497\/revisions\/585"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/edm2021\/wp-json\/wp\/v2\/media?parent=497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}