{"id":1086,"date":"2023-05-18T01:59:25","date_gmt":"2023-05-18T01:59:25","guid":{"rendered":"https:\/\/educationaldatamining.org\/edm2023\/?page_id=1086"},"modified":"2023-07-10T05:51:14","modified_gmt":"2023-07-10T05:51:14","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2023\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/educationaldatamining.org\/edm2023\/wp-content\/uploads\/sites\/7\/2023\/07\/EDM2023_List_of_Accepted_Papers.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Download list as pdf<\/a><\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><strong>Warm Congratulations to All Authors!<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Long Papers<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy Shaw and <strong>Neil Heffernan<\/strong> \u2013 <\/strong>How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference.<\/li><li><strong>Afrizal Doewes, Nughthoh Arfawi Kurdhi and Akrati Saxena \u2013 <\/strong>Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay Scoring.<\/li><li><strong>Antonette Shibani, Ratnavel Rajalakshmi, Faerie Mattins, Srivarshan Selvaraj and Simon Knight \u2013 <\/strong>Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writing.<\/li><li><strong>Anup Shakya, Vasile Rus and Deepak Venugopal \u2013 <\/strong>Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data.<\/li><li><strong>Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui and Yuji Ando <\/strong>\u2013 Exploring the effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill Modeling.<\/li><li><strong>Hagit Gabbay and Anat Cohen <\/strong>\u2013 Unfolding Learners\u2019 Response to Different Versions of Automated Feedback in a MOOC for Programming \u2013\u00a0 A Sequence Analysis Approach.<\/li><li><strong>Hamid Karimi, Kaitlin Torphy Knake and Kenneth A. Frank <\/strong>\u2013 An Analysis of Diffusion of Teacher-curated Resources on Pinterest.<\/li><li><strong>Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G.\u00a0 Cavazos, Renzhe Yu, Spencer Jaquay and Nia Nixon <\/strong>\u2013 Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums.<\/li><li><strong>Husni Almoubayyed, Stephen Fancsali and Steve Ritter <\/strong>\u2013 Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software.<\/li><li><strong>Janine Langebein, Till Massing, Jens Klenke, Natalie Reckmann, Michael Striewe, Michael Goedicke and Christoph Hanck \u2013 <\/strong>A Data Mining Approach for Detecting Collusion in Unproctored Online Exams.<\/li><li><strong>Jauwairia Nasir, Aditi Kothiyal, Haoyu Sheng and Pierre Dillenbourg \u2013 <\/strong>To speak or not to speak, and what to speak, when doing task actions collaboratively.<\/li><li><strong>Kerstin Wagner, Agathe Merceron, Petra Sauer and Niels Pinkwart\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u2013 <\/strong>Can the Paths of Successful Students Help Other Students With Their Course Enrollments?<\/li><li><strong>Lea Cohausz, Andrej Tschalzev, Christian Bartelt and Heiner Stuckenschmidt \u2013 <\/strong>Investigating the Importance of Demographic Features for EDM-Predictions.<\/li><li><strong>M\u00e9lina Verger, S\u00e9bastien Lall\u00e9, Fran\u00e7ois Bouchet and Vanda Luengo \u2013 <\/strong>Is Your Model \u201cMADD\u201d? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models.<\/li><li><strong>Muntasir Hoq, Peter Brusilovsky and Bita Akram \u2013 <\/strong>Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course.<\/li><li><strong>Philip I. Pavlik Jr. and Luke G. Eglington \u2013 <\/strong>Automated Search for Logistic Knowledge Tracing Models.<\/li><li><strong>Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi and Tiffany Barnes \u2013\u00a0 <\/strong>Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problem within an Intelligent Logic Tutor.<\/li><li><strong>Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes and Thomas Price \u2013 <\/strong>KC-Finder: Automated Knowledge Component Discovery for Programming Problems.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Short Papers<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Amir Zur, Isaac Applebaum, Jocelyn Nardo, Dory DeWeese, Sameer Sundrani and Shima Salehi<\/strong> \u2013 Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning Objectives.<\/li><li><strong>Amruth Kumar<\/strong> \u2013 Using Markov Matrix to Analyze Students\u2019 Strategies for Solving Parsons Puzzles.<\/li><li><strong>Ayaz Karimov, Mirka Saarela and Tommi K\u00e4rkk\u00e4inen<\/strong> \u2013 Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning.<\/li><li><strong>Ethan Prihar, Kirk Vanacore, Adam Sales and Neil Heffernan \u2013 <\/strong>Effective Evaluation of Online Learning Interventions with Surrogate Measures.<\/li><li><strong>Jean Vassoyan, Jill-J\u00eann Vie and Pirmin Lemberger \u2013 <\/strong>Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning<\/li><li><strong>Machi Shimmei and Noboru Matsuda \u2013 <\/strong>Can\u2019t Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data.<\/li><li><strong>Md Akib Zabed Khan and Agoritsa Polyzou<\/strong> \u2013 Session-based Course Recommendation Frameworks using Deep Learning.<\/li><li><strong>Mengxue Zhang, Neil Heffernan and Andrew Lan<\/strong> \u2013 Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions.<\/li><li><strong>Morgan P Lee, Ethan Croteau, Ashish Gurung, Anthony F. Botelho and Neil T. Heffernan<\/strong> \u2013 Knowledge Tracing Over Time: A Longitudinal Analysis.<\/li><li><strong>Narjes Rohani, Kobi Gal, Michael Gallagher and Areti Manataki<\/strong> \u2013 Early Prediction of Student Performance in a Health Data Science MOOC.<\/li><li><strong>Regina Kasakowskij, Joerg M. Haake and Niels Seidel<\/strong> \u2013 Self-Assessment Task Processing Behavior of Students in Higher Education.<\/li><li><strong>Sami Baral, Anthony F. Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng and Neil Heffernan<\/strong> \u2013 Auto-scoring Student Responses with Images in Mathematics.<\/li><li><strong>Stav Tsabari, Avi Segal and Kobi Gal <\/strong>\u2013 Predicting Bug Fix Time in Students\u2019 Programming with Deep Language Models.<\/li><li><strong>Stephen Hutt, Sanchari Das and Ryan Baker<\/strong> \u2013 The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward.<\/li><li><strong>Tianze Shou, Conrad Borchers, Shamya Karumbaiah and Vincent Aleven<\/strong> \u2013 Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.<\/li><li><strong>Tung Phung, Jos\u00e9 Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla and Gustavo Soares <\/strong>\u2013 Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models.<\/li><li><strong>Valdemar \u0160v\u00e1bensk\u00fd, Ryan S. Baker, Andr\u00e9s Zambrano, Yishan Zou and Stefan Slater<\/strong> \u2013 Towards Generalizable Detection of Urgency of Discussion Forum Posts.<\/li><li><strong>Vishal Kuvar, Lauren Flynn, Laura Allen and Caitlin Mills<\/strong> \u2013 Partner Keystrokes can Predict Attentional States during Chat-based Conversations.<\/li><li><strong>Wei Chu and Philip I. Pavlik Jr. \u2013 <\/strong>The Predictiveness of PFA is Improved by Incorporating the Learner\u2019s Correct Response Time Fluctuation.<\/li><li><strong>Yinuo Xu and Zach Pardos<\/strong> \u2013 Mining Detailed Course Transaction Records for Semantic Information.<\/li><li><strong>Yunsung Kim, Sree Sankaranarayanan, Chris Piech and Candace Thille<\/strong> \u2013 Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency.<\/li><li><strong>Zilin Dai, Andrew McReynolds and Jacob Whitehill <\/strong>\u2013 In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Posters<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Anan Sch\u00fctt, Tobias Huber, Ilhan Aslan and Elisabeth Andr\u00e9 \u2013 <\/strong>Fast Dynamic Difficulty Adjustment for Intelligent Tutoring Systems with Small Datasets.<\/li><li><strong>Anirban Roy Chowdhury, Nandagopal K S, Vijay Prakash and Syaamantak Das<\/strong> \u2013 A comparative analysis of the cognitive levels of Science and Mathematics secondary school board examination&nbsp; questions in India.<\/li><li><strong>Antonette Shibani, Ratnavel Rajalakshmi, Srivarshan Selvaraj, Faerie Mattins and Dhivya Chinnappa <\/strong>\u2013 Explainable models for feedback design: An argumentative writing example.<\/li><li><strong>Ayaz Karimov, Mirka Saarela and Tommi K\u00e4rkk\u00e4inen <\/strong>\u2013 Improving learning in under-resourced communities by using online educational platforms: the case of Khan Academy.<\/li><li><strong>Brad Din, Yael Feldman-Maggor, Tanya Nazaretsky and Giora Alexandron<\/strong> \u2013 Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data.<\/li><li><strong>Colton Botta, Avi Segal and Kobi Gal<\/strong> \u2013 Sequencing Educational Content Using Diversity Aware Bandits.<\/li><li><strong>Conrad Borchers, Lennart Klein, Hayden Johnson and Christian Fischer<\/strong> \u2013 Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics.<\/li><li><strong>Deliang Wang, Dapeng Shan, Yaqian Zheng, Kai Guo, Gaowei Chen and Yu Lu<\/strong> \u2013 Can ChatGPT Detect Student Talk Moves in Classroom Discourse? A Preliminary Comparison with Bert.<\/li><li><strong>Erwin Daniel L\u00f3pez Zapata, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo and Atsushi Shimada <\/strong>\u2013 LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships.<\/li><li><strong>Gyanesh Jain, Aditya Sharma, Nirmal Patel and Amit Nanavati<\/strong> \u2013 Tool Usage and Efficiency in an Online Test.<\/li><li><strong>Ikenna Osakwe<\/strong> \u2013 Using reinforcement learning for automatic detection of effective strategies for self-regulated learning.<\/li><li><strong>Luca Mouchel, Thiemo Wambsganss, Paola Mejia and Tanja K\u00e4ser<\/strong> \u2013 Understanding Revision Behavior in Adaptive Writing Support Systems for Education.<\/li><li><strong>M Parvez Rashid, Divyang Doshi, Edward F. Gehringer, Sai Venkata Vinay Kumar Samudrala and Qinjin Jia <\/strong>\u2013 \u201cCan we reach agreement?\u201d: A context- and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative feedback.<\/li><li><strong>Mayank Sahu, Daevesh Singh, Deepak Pathak, Chandan Dasgupta and Ramkumar Rajendran <\/strong>\u2013 Boredom and Frustration detection in TELE for Engineering Design Problem.<\/li><li><strong>Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh and Andrew Lan <\/strong>\u2013 A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing.<\/li><li><strong>Olivier All\u00e8gre, Amel Yessad and Vanda Luengo <\/strong>\u2013 Discovering prerequisite relationships between knowledge components from an interpretable learner model.<\/li><li><strong>Ran Bi and Shiyao Wei <\/strong>\u2013 Exploring the Implementation of NLP Topic Modeling for Understanding the Dynamics of Informal Learning in an AI Painting Community<\/li><li><strong>Sylvio R\u00fcdian, Clara Schumacher, Jakub Ku\u017e\u00edlek and Niels Pinkwart <\/strong>\u2013 Pre-selecting Text Snippets to provide formative Feedback in Online Learning<\/li><li><strong>Tanya Nazaretsky, Hac\u0131 Hasan Yolcu, Moriah Ariely and Giora Alexandron<\/strong> \u2013 Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer<\/li><li><strong>Yo Ehara<\/strong> \u2013 Course Concepts: How Readable Are They for ESL Learners?<\/li><li><strong>Yo Ehara<\/strong> \u2013 Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course Concepts<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Doctoral Consortium<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Antony Prakash \u2013 <\/strong>Exploring students\u2019 learning processes by logging and analyzing their interaction behavior in a Virtual Reality learning environment.<\/li><li><strong>Debarshi Nath, Dragan Gasevic and Ramkumar Rajendran<\/strong>\u2013 A Trace-Based Multimodal Generalized SRL Framework for Reading-Writing Tasks.<\/li><li><strong>Guanyu Chen and Yan Liu<\/strong> \u2013 Response Process Data in Educational and Psychological Assessment: A Scoping Review of Empirical Studies.<\/li><li><strong>Jyoti Shaha and Ramkumar Rajendran<\/strong>\u2013 Analyzing the impact of metacognition prompts on learning in CBLE.<\/li><li><strong>Meera Pawar and Sahana Murthy<\/strong>\u2013 Understanding Learners Alternate Conceptions through Interaction Patterns During analogical reasoning.<\/li><li><strong>Nisumba Soodhani K<\/strong> \u2013 Analyzing Team Cognition and Combined Efficacy In&nbsp; Makerspaces Using Multimodal Data.<\/li><li><strong>Pratiksha Patil, Ashwin T S and Ramkumar Rajendran<\/strong> \u2013 Fostering Interaction in Computer-Supported Collaborative&nbsp; Learning Environment.<\/li><li><strong>Ram Das Rai<\/strong> \u2013 Designing a Learning Environment to Foster Critical Thinking.<\/li><li><strong>Suprabha Jadhav<\/strong> \u2013 Data Driven Online Training Program for Education Robotics Competition.<\/li><li><strong>Vishwas Badhe, Chandan Dasgupta and Ramkumar Rajendran <\/strong>\u2013 Investigating teams\u2019 Socially Shared Metacognitive Regulation (SSMR) and trans-activity in project-based computer supported collaborative learning environment.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Demos<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Jinglei Yu, Zitao Liu, Mi Tian, Deliang Wang and Yu Lu &#8211; <\/strong>A Multimodal Language Learning System for Chinese Character Using Foundation Model<\/li><li><strong>Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky and Jordan Barria-Pineda<\/strong> &#8211; Help Me Read! Expanding Student\u2019s Reading with Wikipedia Articles<\/li><li><strong>Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumi Nakajima, Nicholas Haber and Shima Salehi<\/strong> &#8211; Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/educationaldatamining.org\/edm2023\/wp-content\/uploads\/sites\/7\/2023\/07\/EDM2023_List_of_Accepted_Papers.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Download list as pdf<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Download list as pdf Warm Congratulations to All Authors! Long Papers Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy Shaw and Neil Heffernan \u2013 How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. Afrizal Doewes, Nughthoh Arfawi Kurdhi and Akrati Saxena \u2013 Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":0,"parent":0,"menu_order":20,"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":""},"categories":[],"tags":[],"class_list":["post-1086","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/pages\/1086","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/comments?post=1086"}],"version-history":[{"count":10,"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/pages\/1086\/revisions"}],"predecessor-version":[{"id":1587,"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/pages\/1086\/revisions\/1587"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/media?parent=1086"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/categories?post=1086"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2023\/wp-json\/wp\/v2\/tags?post=1086"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}