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ORCID22nd AIED 2021: Utrecht, The Netherlands
- Ido Roll
, Danielle S. McNamara, Sergey A. Sosnovsky, Rose Luckin, Vania Dimitrova:
Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12749, Springer 2021, ISBN 978-3-030-78269-6
Keynotes
- Judy Kay:
Scrutability, Control and Learner Models: Foundations for Learner-Centred Design in AIED. 3-8
Short Papers
- Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Ali Darvishi:
Open Learner Models for Multi-activity Educational Systems. 11-17 - Victoria Abou Khalil, Brendan Flanagan, Hiroaki Ogata:
Personal Vocabulary Recommendation to Support Real Life Needs. 18-23 - Cathy Adams, Patti Pente, Gillian Lemermeyer, Geoffrey Rockwell:
Artificial Intelligence Ethics Guidelines for K-12 Education: A Review of the Global Landscape. 24-28 - Adetunji Adeniran, Judith Masthoff:
Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse. 29-36 - Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar:
Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning. 37-42 - Ishrat Ahmed, Adam Clark, Stefania Metzger, Ruth Wylie, Yoav Bergner, Erin Walker:
Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS. 43-47 - Khulood Alharbi, Alexandra I. Cristea, Lei Shi, Peter Tymms, Chris Brown:
Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren's Behaviour Versus Teacher Control over Neighbours. 48-53 - Itsuki Aomi, Emiko Tsutsumi, Masaki Uto, Maomi Ueno:
Integration of Automated Essay Scoring Models Using Item Response Theory. 54-59 - Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres:
Towards Sharing Student Models Across Learning Systems. 60-65 - Peter Bautista, Paul Salvador Inventado:
Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks. 66-70 - Vaclav Bayer, Martin Hlosta, Miriam Fernández:
Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? 71-75 - Beata Beigman Klebanov, Anastassia Loukina:
Exploiting Structured Error to Improve Automated Scoring of Oral Reading Fluency. 76-81 - Timothy H. Bell, Christel Dartigues-Pallez, Florent Jaillet, Christophe Genolini:
Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success Prediction. 82-87 - Sara Guerreiro-Santalla, Francisco Bellas, Oscar Fontenla-Romero:
The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students. 88-92 - George Boateng:
Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses. 93-97 - Bikram Boote, Mansi Agarwal, Jack Mostow:
Early Prediction of Children's Disengagement in a Tablet Tutor Using Visual Features. 98-103 - Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu:
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. 104-108 - Elizabeth B. Cloude, Nikki Anne M. Ballelos, Roger Azevedo, Analia Castiglioni, Jeffrey LaRochelle, Anya Andrews, Caridad Hernandez:
Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data. 109-113 - Geoffrey A. Converse, Shi Pu, Suely Oliveira:
Incorporating Item Response Theory into Knowledge Tracing. 114-118 - Dragos-Georgian Corlatescu, Mihai Dascalu, Danielle S. McNamara:
Automated Model of Comprehension V2.0. 119-123 - James Cunningham, Raktim Mukhopadhyay, Rishabh Ranjit Kumar Jain, Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun:
Pre-course Prediction of At-Risk Calculus Students. 124-128 - Daryn A. Dever, Elizabeth B. Cloude, Roger Azevedo:
Examining Learners' Reflections over Time During Game-Based Learning. 129-133 - Rachel Dickler, Amy Adair, Janice D. Gobert, Huma Hussain-Abidi, Joe Olsen, Mariel O'Brien, Michael Sao Pedro:
Examining the Use of a Teacher Alerting Dashboard During Remote Learning. 134-138 - Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi, Alexandra I. Cristea:
Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study. 139-144 - Ahmed E. Elshafey, Mohammed R. Anany, Amr S. Mohamed, Nourhan Sakr, Sherif G. Aly:
Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education. 145-150 - Andrew Emerson, Nathan L. Henderson, Wookhee Min, Jonathan P. Rowe, James Minogue, James C. Lester:
Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits. 151-155 - Maverick Andre Dionisio Ferreira, Rafael Ferreira Mello, Rafael Dueire Lins, Dragan Gasevic:
Analytics of Emerging and Scripted Roles in Online Discussions: An Epistemic Network Analysis Approach. 156-161 - Rafael Ferreira Mello, Giuseppe Fiorentino, Péricles B. C. de Miranda, Hilário Oliveira, Mladen Rakovic, Dragan Gasevic:
Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays. 162-167 - Giuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula C. Furtado, Henrik Bellhäuser, Dragan Gasevic, Rafael Ferreira Mello:
Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course. 168-172 - Samantha Garcia, Elaine Cristina Moreira Marques, Rafael Ferreira Mello, Dragan Gasevic, Taciana Pontual Falcão:
Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution. 173-177 - Carla Guerra, Francisco S. Melo, Manuel Lopes:
Interactive Teaching with Groups of Unknown Bayesian Learners. 178-182 - Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. 183-189 - Martin Hlosta, Christothea Herodotou, Vaclav Bayer, Miriam Fernández:
Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM. 190-195 - Anett Hoppe, David Morris, Ralph Ewerth:
Evaluation of Automated Image Descriptions for Visually Impaired Students. 196-201 - Daneih Ismail, Peter M. Hastings:
Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety. 202-207 - Samuel John, George Boateng:
"I didn't copy his code": Code Plagiarism Detection with Visual Proof. 208-212 - Amruth N. Kumar:
An Epistemic Model-Based Tutor for Imperative Programming. 213-218 - Amruth N. Kumar:
Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors. 219-223 - Marco Kähler, Rolf Feichtenbeiner, Susan Beudt:
Facilitating the Implementation of AI-Based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A Practical Design Thinking Approach. 224-228 - Ezekiel Adriel Lagmay, Ma. Mercedes T. Rodrigo:
Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic. 229-233 - Riya Lalwani, Ashish Chouhan, Varun John, Prashant Sonar, Aakash Mahajan, Naresh Pendyala, Alexander Streicher, Ajinkya Prabhune:
I-Mouse: A Framework for Player Assistance in Adaptive Serious Games. 234-238 - Arun Balajiee Lekshmi Narayanan, Ju Eun Lim, Tri Nguyen, Ligia E. Gómez, M. Adelaida Restrepo, Chris Blais, Arthur M. Glenberg, Erin Walker:
Parent-EMBRACE: An Adaptive Dialogic Reading Intervention. 239-244 - Chenglu Li, Wanli Xing, Walter L. Leite:
Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform. 245-250 - Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. 251-255 - Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. 256-261 - Lurlynn Maharaj-Pariagsingh, Phaedra S. Mohammed:
DanceTutor: An ITS for Coaching Novice Ballet Dancers Using Pose Recognition of Whole-Body Movements. 262-266 - Shitanshu Mishra, Rwitajit Majumdar, Aditi Kothiyal, Prajakt Pande, Jayakrishnan Madathil Warriem:
Tracing Embodied Narratives of Critical Thinking. 267-272 - John Mui, Fuhua Lin, M. Ali Akber Dewan:
Multi-armed Bandit Algorithms for Adaptive Learning: A Survey. 273-278 - Andrew M. Olney:
Paraphrasing Academic Text: A Study of Back-Translating Anatomy and Physiology with Transformers. 279-284 - Yuanxin Ouyang, Yucong Zhou, Hongbo Zhang, Wenge Rong, Zhang Xiong:
PAKT: A Position-Aware Self-attentive Approach for Knowledge Tracing. 285-289 - Ethan Prihar, Alexander Moore, Neil T. Heffernan:
Identifying Struggling Students by Comparing Online Tutor Clickstreams. 290-295 - Stefan Ruseti, Maria-Dorinela Dascalu, Dragos-Georgian Corlatescu, Mihai Dascalu, Stefan Trausan-Matu, Danielle S. McNamara:
Exploring Dialogism Using Language Models. 296-301 - Nourhan Sakr, Aya Salama, Nadeen Tameesh, Gihan Osman:
EduPal Leaves No Professor Behind: Supporting Faculty via a Peer-Powered Recommender System. 302-307 - Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger:
Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. 308-313 - Philipp Schaper, Anna Riedmann, Birgit Lugrin:
Internalisation of Situational Motivation in an E-Learning Scenario Using Gamification. 314-319 - Machi Shimmei, Noboru Matsuda:
Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions. 320-324 - Loek Spitz, Marco Kragten, Bert Bredeweg:
Exploring the Working and Effectiveness of Norm-Model Feedback in Conceptual Modelling - A Preliminary Report. 325-330 - François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar:
A Comparative Study of Learning Outcomes for Online Learning Platforms. 331-337 - Angela E. B. Stewart, Jaemarie Solyst, Amanda Buddemeyer, Leshell Hatley, Sharon Henderson-Singer, Kimberly Scott, Erin Walker, Amy Ogan:
Explaining Engagement: Learner Behaviors in a Virtual Coding Camp. 338-343 - Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin, Tamara Sumner:
Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application. 344-348 - Faiza Tahir, Antonija Mitrovic, Valerie Sotardi:
Investigating Effects of Selecting Challenging Goals. 349-354 - Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester:
Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science. 355-360 - Marcus Tyler, Alex Liu, Ravi Srinivasan:
Behavioral Phenotyping for Predictive Model Equity and Interpretability in STEM Education. 361-366 - Kurt VanLehn, Fabio Milner, Chandrani Banerjee, Jon Wetzel:
Teaching Underachieving Algebra Students to Construct Models Using a Simple Intelligent Tutoring System. 367-371 - Ning Wang, Aditya Jajodia, Abhilash Karpurapu, Chirag Merchant:
Charisma and Learning: Designing Charismatic Behaviors for Virtual Human Tutors. 372-377 - Ruhan Wang, Jiahao Lyu, Qingyun Xiong, Junqi Guo:
AI-Powered Teaching Behavior Analysis by Using 3D-MobileNet and Statistical Optimization. 378-383 - Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis:
Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. 384-389 - Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
Toward Stable Asymptotic Learning with Simulated Learners. 390-394 - Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal, Aayesha Zia:
A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation. 395-400 - R. Yamamoto Ravenor:
Intelligent Agents Influx in Schools: Teacher Cultures, Anxiety Levels and Predictable Variations. 401-405 - Jeffrey T. Yarbro, Andrew M. Olney:
WikiMorph: Learning to Decompose Words into Morphological Structures. 406-411 - Michael Yudelson:
Individualization of Bayesian Knowledge Tracing Through Elo-infusion. 412-416 - Yue Yun, Huan Dai, Ruoqi Cao, Yupei Zhang, Xuequn Shang:
Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection. 417-421 - Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
Using Adaptive Experiments to Rapidly Help Students. 422-426 - Yiqiu Zhou, Juan Miguel L. Andres-Bray, Stephen Hutt, Korinn Ostrow, Ryan S. Baker:
A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners. 427-432 - Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li, Rebecka Weegar:
An Ensemble Approach for Question-Level Knowledge Tracing. 433-437
Industry and Innovation
- Stephen E. Fancsali, Martina Pavelko, Josh Fisher, Leslie Wheeler, Steven Ritter:
Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements. 441-445 - JungHoon Kim, Jineon Baek, Chanyou Hwang, Chan Bae, Juneyoung Park:
Condensed Discriminative Question Set for Reliable Exam Score Prediction. 446-450 - Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun:
Evaluating the Impact of Research-Based Updates to an Adaptive Learning System. 451-456 - Jinglei Yu, Jiachen Song, Yu Lu, Shengquan Yu:
Back to the Origin: An Intelligent System for Learning Chinese Characters. 457-461
Doctoral Consortium
- Yanjun Gao, Rebecca J. Passonneau:
Automated Assessment of Quality and Coverage of Ideas in Students' Source-Based Writing. 465-470 - Rashmi Khazanchi:
Impact of Intelligent Tutoring System (ITS) on Mathematics Achievement Using ALEKS. 471-475 - Joe Olsen, Janice D. Gobert:
Designing and Testing Assessments and Scaffolds for Mathematics Practices in Science Inquiry. 476-481 - Matthew Woodruff, Graham Feek:
Contextual Safeguarding in Education: Bayesian Network Risk Analysis for Decision Support. 482-486
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