{"id":61,"date":"2021-12-01T15:42:47","date_gmt":"2021-12-01T15:42:47","guid":{"rendered":"https:\/\/educationaldatamining.org\/edm2022\/?page_id=61"},"modified":"2022-07-25T16:47:55","modified_gmt":"2022-07-25T16:47:55","slug":"schedule","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2022\/schedule\/","title":{"rendered":"Schedule\uff08Time Zone: UTC +1\uff09"},"content":{"rendered":"\n

Your quick WHOVA link here<\/a> (your registrant’s passcode was sent in an email)<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Opening
Session: Opening Ceremony<\/a>
Session Chair: Alexandra Cristea
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 8:30-9:20
Room: TLC042<\/h3>\n\n\n\n

Session: Best IAALDE paper \/ JEDM paper<\/a>
Session Chair: Alexandra Cristea
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 9:30-10:30
Room: TLC042<\/h3>\n\n\n\n
Title<\/td>Authors<\/td><\/tr>
Recommendations for Orchestration of Formative Assessment Sequences: a Data-driven Approach<\/td>Rialy Andriamiseza, Julien Broisin, Franck Silvestre<\/td><\/tr>
Assessing the knowledge state of online students – new data, new approaches, improved accuracy<\/td>Robin Schmucker, Jingbo Wang, Shijia Hu, Tom Mitchell<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 1 (Short papers): New techniques for mining educational data 1<\/a>
Session Chair: Vasile Rus
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 9:30-10:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
118<\/td>Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach<\/td>Frederik Baucks and Laurenz Wiskott<\/td><\/tr>
59<\/td>Evaluating Gaming Detector Models For Robustness Over Time<\/td>Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali and Stephen Hutt<\/td><\/tr>
42<\/td>An Evaluation of code2vec Embeddings for Scratch<\/td>Benedikt Fein, Isabella Gra\u00dfl, Florian Beck and Gordon Fraser<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 2 (Full papers): Knowledge and performance modeling 1<\/a>
Session Chair: Tanja K\u00e4ser
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 11:00-12:30
Room: TLC042<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
51<\/td>Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs<\/td>Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras and Tanja K\u00e4ser<\/td><\/tr>
78<\/td>Generalisable Methods for Early Prediction in Interactive Simulations for Education<\/td>Jade Ma\u00ef Cock, Mirko Marras, Christian Giang and Tanja K\u00e4ser<\/td><\/tr>
80<\/td>Toward Better Grade Prediction via A2GP – An Academic Achievement Inspired Predictive Model<\/td>Wei Qiu, S. Supraja and Andy W. H. Khong<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 3 (Full papers): Assessment<\/a>
Session Chair: Neil Heffernan
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 11:00-12:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
84<\/td>Individual Fairness Evaluation for Automated Essay Scoring System<\/td>Afrizal Doewes, Akrati Saxena, Yulong Pei and Mykola Pechenizkiy<\/td><\/tr>
54<\/td>Automatic Short Math Answer Grading via In-context Meta-learning<\/td>Mengxue Zhang, Sami Baral, Neil Heffernan and Andrew Lan<\/td><\/tr>
63<\/td>Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning<\/td>Nathan Henderson, Halim Acosta, Wookhee Min, Bradford Mott, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe and James Lester<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Keynote: EDM Keynote 1: Ren\u00e9 Kizilcec<\/a>
Session Chair: Nigel Bosch
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 13:30-14:30
Room: TLC042 <\/h3>\n\n\n\n

Session 4 (Full papers): Reading comprehension<\/a>
Session Chair: Art Graesser
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 14:30-15:30
Room: TLC042<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
56<\/td>Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading<\/td>Megan Caruso, Candace Peacock, Rosy Southwell, Guojing Zhou and Sidney D’Mello<\/td><\/tr>
62<\/td>Predicting Reading Comprehension Scores of Elementary School Students<\/td>Yuyang Nie, Helene Deacon, Alona Fyshe and Carrie Demmans Epp<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 5 (Full papers): New techniques for mining educational data 2<\/a>
Session Chair: Noboru Matsuda
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 14:30-15:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
53<\/td>Addressing Competing Objectives in Allocating Funds to Scholarships and Need-based Financial Aid<\/td>Vinthuy Phan, Laura Wright and Bridgette Decent<\/td><\/tr>
108<\/td>Neural Recall Network: A Neural Network Solution to Low Recall Problem in Regex-based Qualitative Coding<\/td>Zhiqiang Cai, Cody Marquart and David Shaffer<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 6 (Short papers): Programming<\/a>
Session Chair: Peter Brusilovsky
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 16:00-18:00
Room: TLC042<\/h3>\n\n\n\n
ID <\/td> Title <\/td> Authors <\/td><\/tr>
151<\/td>Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments.<\/td>Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin Lynch, Sarah Heckman and Tiffany Barnes<\/td><\/tr>
52<\/td>Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning<\/td>Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia and Edward Gehringer<\/td><\/tr>
105<\/td>From {Solution} Synthesis to {Student Attempt} Synthesis for Block-Based Visual Programming Tasks<\/td>Adish Singla and Nikitas Theodoropoulos<\/td><\/tr>
43<\/td>Investigating the effect of Automated Feedback on learning behavior in MOOCs for programming<\/td>Hagit Gabbay and Anat Cohen<\/td><\/tr>
74<\/td>Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback<\/td>Maximilian Jahnke and Frank H\u00f6ppner<\/td><\/tr>
153<\/td>Going beyond \u201cGood job\u201d: Analyzing helpful feedback from students\u2019 perspectives.<\/td>M Parvez Rashid, Yunkai Xiao and Edward F. Gehringer<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 7 (Short papers): Knowledge and performance modeling 2<\/a>
Session Chair: Danielle McNamara
Date: 24\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 16:00-18:00
Room: TLC033<\/h3>\n\n\n\n
ID <\/td> Title <\/td> Authors <\/td><\/tr>
97<\/td>Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes<\/td>Jiawei Li, S. Supraja, Wei Qiu and Andy W. H. Khong<\/td><\/tr>
9<\/td>Improving Peer Assessment with Graph Neural Networks<\/td>Alireza A. Namanloo, Julie Thorpe and Amirali Salehi-Abari<\/td><\/tr>
126<\/td>Using Markov Models and Random Walks to Examine Strategy Use of More or Less Successful Comprehenders<\/td>Katerina Christhilf, Natalie Newton, Reese Butterfuss, Kathryn S. McCarthy, Laura K. Allen, Joseph P. Magliano and Danielle S. McNamara<\/td><\/tr>
40<\/td>Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science<\/td>Lea Cohausz<\/td><\/tr>
120<\/td>Modeling One-on-one Online Tutoring Discourse using an Accountable Talk Framework<\/td>Renu Balyan, Tracy Arner, Karen Taylor, Jinnie Shin, Michelle Banawan, Walter Leite and Danielle McNamara<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 8 (Short papers): New techniques for mining educational data 2<\/a>
Session Chair: Mladen Rakovic
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 8:30-9:30
Room: TLC042<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
31<\/td>Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study<\/td>Yang Zhi-Han, Shiyue Zhang and Anna Rafferty<\/td><\/tr>
195<\/td>Automatic Classification of Learning Objectives Based on Bloom\u2019s Taxonomy<\/td>Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic and Guanliang Chen<\/td><\/tr>
130<\/td>No Meaning Left Unlearned: Predicting Learners\u2019 Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings<\/td>Yo Ehara<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 9 (Short papers): Knowledge and performance modeling 3<\/a>
Session Chair: Ana\u00efs Tack
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 8:30-9:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
107<\/td>Mining Assignment Submission Time to Detect At-Risk Students with Peer Information<\/td>Yuancheng Wang, Nanyu Luo and Jianjun Zhou<\/td><\/tr>
20<\/td>Investigating Growth of Representational Competencies by Knowledge-Component Model<\/td>Jihyun Rho, Martina Rau and Barry Vanveen<\/td><\/tr>
168<\/td>The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues<\/td>Ana\u00efs Tack and Chris Piech<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Keynote: EDM Keynote 2: Judy Robertson<\/a>
Session Chair: Tanja Mitrovic
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 9:30-10:30
Room: TLC042 <\/h3>\n\n\n\n

Session 10 (Full papers): <\/a>Automated detectors<\/a>
Session Chair: Anthony Botelho
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 11:00-12:30
Room: TLC042<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
35<\/td>Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process<\/td>Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman and Tyron Young<\/td><\/tr>
141<\/td>Predicting Cognitive Engagement in Online Course Discussion Forums<\/td>Guher Gorgun, Seyma Nur Yildirim-Erbasli and Carrie Demmans Epp<\/td><\/tr>
125<\/td>Item Response Theory-Based Gaming Detection<\/td>Yun Huang, Steven Dang, J. Elizabeth Richey, Michael Asher, Nikki G. Lobczowski, Danielle Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven and Kenneth Koedinger<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 11 (Full papers): Deriving representations of domain knowledge from data<\/a>
Session Chair: Benjamin Paa\u00dfen
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 11:00-12:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
7<\/td>Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students’ Project Reports<\/td>Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, Parvez Rashid and Edward Gehringer<\/td><\/tr>
37<\/td>SQL-DP:A Novel Difficulty Prediction Framework for SQL Programming Problems<\/td>Jia Xu, Tingting Wei and Pin Lv<\/td><\/tr>
10<\/td>Sparse Factor Autoencoders for Item Response Theory<\/td>Benjamin Paa\u00dfen, Malwina Dywel, Melanie Fleckenstein and Niels Pinkwart<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session: Doctoral Consortium<\/a>
Session Chairs: Carol Forsyth, Neil Heffernan
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 13:30-15:30
Room: TLC026<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
34<\/td>Identifying Explanations Within Student-Tutor Chat Logs<\/td>Ethan Prihar, Alexander Moore and Neil Heffernan<\/td><\/tr>
201<\/td>Detecting When a Learner Requires Assistance with Programming and Delivering a Useful Hint<\/td>Marcus Messer<\/td><\/tr>
209<\/td>A Paraphrase Identification Approach in Paragraph length texts<\/td>Arwa Al Saqaabi, Craig Stewart, Eleni Akrida and Alexandra Cristea<\/td><\/tr>
212<\/td>Investigating learners\u2019 Cognitive Engagement in Python Programming using ICAP framework<\/td>Daevesh Singh and Ramkumar Rajendran<\/td><\/tr>
213<\/td>Improving Automated Assessment and Feedback for Student Open-responses in Mathematics<\/td>Sami Baral<\/td><\/tr>
216<\/td>Modeling Cognitive Load and Affect to Support Adaptive Online Learning<\/td>Minghao Cai and Carrie Demmans Epp<\/td><\/tr>
219<\/td>Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers<\/td>Jonathan Young, Sue Black, Alexandra Cristea, Ryan Hodgson and Cristina Todor<\/td><\/tr>
225<\/td>Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation<\/td>Mahbubul Hasan, Lih Y Deng, John Sabatini, Dale Bowman, Ching-Chi Yang and John Hollander<\/td><\/tr>
228<\/td>Towards Personalised Learning of Psychomotor Skills with Data Mining<\/td>Miguel Portaz and Olga C. Santos<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session: Industry Track<\/a>
Session Chair: Stephen Fancsali
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 13:30-15:30
Room: TLC113<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
5<\/td>Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines<\/td>Jeffrey Matayoshi, Hasan Uzun and Eric Cosyn<\/td><\/tr>
24<\/td>Mining Artificially Generated Data to Estimate Competency<\/td>Robby Robson, Benjamin Goldberg, Shelly Blake-Plock, Cliff Casey, William Hoyt, Mike Hernandez and Fritz Ray<\/td><\/tr>
60<\/td>\u201cClosing the Loop\u201d in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials<\/td>Stephen Fancsali, April Murphy and Steven Ritter<\/td><\/tr>
92<\/td>Estimating the causal effects of Khan Academy Map Accelerator across demographic subgroups<\/td>Phillip Grimaldi, Kodi Weatherholtz and Kelli Millwood Hill<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Keynote: EDM Keynote 3: Tiffany Barnes<\/a>
Session Chair: Alexandra Cristea
Date: 25\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 16:00-17:00
Room: TLC042 <\/h3>\n\n\n\n

Session 12 (Full\/Short papers): Social and collaborative learning 1<\/a>
Session Chair: Peter Foltz
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 8:30-10:30
Room: TLC042<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td>Type<\/td><\/tr>
155<\/td>Challenges and Feasibility of Automatic Speech Recognition for Modeling Student Collaborative Discourse in Classrooms<\/td>Rosy Southwell, Samuel Pugh, E. Margaret Perkoff, Charis Clevenger, Jeffrey Bush, Rachel Lieber, Wayne Ward, Peter Foltz and Sidney D’Mello<\/td>Full<\/td><\/tr>
55<\/td>Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School<\/td>Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu and Kristy Elizabeth Boyer<\/td>Full<\/td><\/tr>
16<\/td>#lets-discuss: Analyzing Student Affect in Course Forums Using Emoji<\/td>Ariel Blobstein, Kobi Gal, David Karger, Marc Facciotti, Hyunsoo Kim, Jumana Almahmoud and Kamali Sripathi<\/td>Short<\/td><\/tr>
145<\/td>Using community-based problems to increase motivation in a data science virtual internship<\/td>Jillian Johnson and Andrew Olney<\/td>Short<\/td><\/tr>
69<\/td>Characterizing joint attention dynamics during collaborative problem-solving in an immersive astronomy simulation<\/td>Yiqiu Zhou and Jina Kang<\/td> Short <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 13 (Full\/Short papers): Personalized\/adaptive learning 1<\/a>
Session Chair: Kalina Yacef
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 8:30-10:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td>Type<\/td><\/tr>
94<\/td>Combining domain modelling and student modelling techniques in a single automated pipeline<\/td>Gio Picones, Benjamin Paa\u00dfen, Irena Koprinska and Kalina Yacef<\/td>Full<\/td><\/tr>
12<\/td>Exploring Common Trends in Online Educational Experiments<\/td>Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy Shaw, Adam Sales and Neil Heffernan<\/td>Full<\/td><\/tr>
82<\/td>Log mining for course recommendation in limited information scenarios<\/td>Juan Sanguino, Ruben Manrique, Olga Mari\u00f1o, Mario Linares and Nicolas Cardozo<\/td> Short <\/td><\/tr>
45<\/td>Data-driven goal setting: Searching optimal badges in the decision forest<\/td>Julian Langenhagen<\/td> Short <\/td><\/tr>
93<\/td>Using Machine Learning Explainability Methods to Personalize Interventions for Students<\/td>Paul Hur, HaeJin Lee, Suma Bhat and Nigel Bosch<\/td> Short <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 14 (Full papers): Social and collaborative learning 2<\/a>
Session Chair: Andrew Olney
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 11:00-12:30
Room: TLC042<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
22<\/td>Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions<\/td>Tristan Maidment, Mingzhi Yu, Nikki Lobczowski, Adriana Kovashka, Erin Walker, Diane Litman and Timothy Nokes-Malach<\/td><\/tr>
133<\/td>Exploring Cultural Diversity and Collaborative Team Communication through a Dynamical Systems Lens<\/td>Mohammad Amin Samadi, Jacqueline G. Cavazos, Yiwen Lin and Nia Nixon<\/td><\/tr>
148<\/td>Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression<\/td>Guojing Zhou, Robert Moulder, Chen Sun and Sidney D’Mello<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 15 (Full papers): Knowledge and Performance modeling 4<\/a>
Session Chair: Kobi Gal
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 11:00-12:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
18<\/td>Designing Representations for Question Sequencing using Reinforcement Learning<\/td>Aqil Zainal Azhar, Avi Segal and Kobi Gal<\/td><\/tr>
109<\/td>Towards Including Instructor Features in Student Grade Prediction<\/td>Nathan Ong, Jiaye Zhu and Daniel Mosse<\/td><\/tr>
21<\/td>Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks<\/td>Yang Shi, Min Chi, Tiffany Barnes and Thomas Price<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session 16 (Short papers): Personalized\/adaptive learning 2<\/a>
Session Chair: Maria (Didith) Rodrigo
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 13:30-14:30
Room: TLC033<\/h3>\n\n\n\n
ID<\/td>Title<\/td>Authors<\/td><\/tr>
72<\/td>Can Population-based Engagement improve Personalisation? A Novel Dataset, Baselines and Experiments<\/td>Sahan Bulathwela, Meghana Verma, Mar\u00eda P\u00e9rez Ortiz, Emine Yilmaz and John Shawe-Taylor<\/td><\/tr>
3<\/td>Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System<\/td>Jeffrey Matayoshi, Eric Cosyn and Hasan Uzun<\/td><\/tr>
14<\/td>Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags<\/td>Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney Cade, Margaret Clements and Shuqiong Lin<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Session: JEDM track<\/a>
Session Chair: Agathe Merceron
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 13:30-14:30
Room: TLC042<\/h3>\n\n\n\n
Title<\/td>Authors<\/td><\/tr>
Latent Skill Mining and Labeling from Courseware Content<\/td>Noboru Matsuda, Jesse Wood, Raj Shrivastava, Machi Shimmei, Norman Bier<\/td><\/tr>
Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation<\/td>Sami Sarsa, Juho Leinonen, Arto Hellas<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Keynote: EDM Keynote 4: Jennifer Hill<\/a>
Session Chair: Alexandra I. Cristea
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 14:30-15:30<\/h3>\n\n\n\n


Session: Closing Ceremony<\/a>
Session Chair: Alexandra I. Cristea
Date: 26\/07\/2022 (Time Zone: UTC +1<\/a>)
Time: 16:00-17:00
Room: TLC042 <\/h3>\n\n\n\n

Alan Turing Artificial Intelligence in Education Event<\/a><\/h3>\n\n\n\n

Session Chair: Alexandra Cristea (Onsite)
Date: 27\/07\/2022
Time: 16:20-18:40 (BST<\/a>)
Room: TLC042; Schedule available here<\/a><\/h3>\n\n\n\n

Workshops<\/a>
Date: 27\/07\/2022<\/h3>\n","protected":false},"excerpt":{"rendered":"

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