Table of Contents

• The Black-Box Syndrome: Embracing Randomness in Machine Learning ModelsZ. Anthis. 3-9 [doi]
• Developing an Inclusive Q&A Chatbot in Massive Open Online CoursesSonghee Han, Min Liu. 10-15 [doi]
• Graph Entropy-Based Learning AnalyticsAli Al-Zawqari, Gerd Vandersteen. 16-21 [doi]
• Generating Narratives of Video Segments to Support LearningAbrar Mohammed. 22-28 [doi]
• Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning PlatformsAaron Haim, Ethan Prihar, Neil T. Heffernan. 29-34 [doi]
• Grading Programming Assignments with an Automated Grading and Feedback AssistantMarcus Messer. 35-40 [doi]
• Scaffolding Self-regulated Learning in Game-Based Learning Environments Based on Complex Systems TheoryDaryn A. Dever, Roger Azevedo. 41-46 [doi]
• Speech and Eye Tracking Features for L2 Acquisition: A Multimodal ExperimentSofiya Kobylyanskaya. 47-52 [doi]
• Using Open Source Technologies and Generalizable Procedures in Conversational and Affective Intelligent Tutoring SystemsRomina Soledad Albornoz-De Luise, Miguel Arevalillo-Herráez, David Arnau. 53-58 [doi]
• A Context-Aware Approach to Personalized Feedback for Novice ProgrammersHemilis Joyse Barbosa Rocha, Patrícia Cabral de Azevedo Restelli Tedesco, Evandro de Barros Costa. 59-64 [doi]
• Towards Speech-Based Collaboration Detection in a Noisy ClassroomBahar Shahrokhian, Kurt VanLehn. 65-70 [doi]
• Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math ProblemsAshish Gurung, Neil T. Heffernan. 71-76 [doi]
• An Intelligent Multimodal Dictionary for Chinese Character LearningJinglei Yu, Jiachen Song, Penghe Chen, Yu Lu 0003. 79-83 [doi]
• Leveraging Natural Language Processing for Quality Assurance of a Situational Judgement TestOkan Bulut, Alexander Macintosh, Cole Walsh. 84-88 [doi]
• AI-Enabled Personalized Interview Coach in Rural IndiaShriniwas Nayak, Satish Kumar, Dolly Agarwal, Paras Parikh. 89-93 [doi]
• An Integrated Approach to Learning Solutions: UCD + LS&D + AIEdKristen S. Herrick, Larisa Nachman, Kinta D. Montilus, K. Rebecca Marsh Runyon, Amy Adair, Lisa Ferrara. 94-98 [doi]
• Artificial Intelligence (AI), the Future of Work, and the Building of a National Talent EcosystemLinda Molnar, Ranjana K. Mehta, Robby Robson. 99-103 [doi]
• Introducing EIDU's Solver Platform: Facilitating Open Collaboration in AI to Help Solve the Global Learning CrisisAidan Friedberg. 104-108 [doi]
• Intelligent Textbooks: Themes and TopicsSergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan. 111-114 [doi]
• Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders TalkingRachel Dickler, Shiran Dudy, Areej Mawasi, Jacob Whitehill, Alayne Benson, Amy Corbitt. 115-118 [doi]
• ETS® AI Labs™ Ways of Working Tutorial: How to Build Evidence-Based, User-Obsessed, AI-Enabled Learning Solutions in an Agile FrameworkK. Rebecca Marsh Runyon, Kinta D. Montilus, Larisa Nachman, Kristen Smith Herrick, Lisa Ferrara. 119-122 [doi]
• Synchronization Ratio of Time-Series Cross-Section and Teaching Material Clickstream for Visualization of Student EngagementKonomu Dobashi, Curtis P. Ho, Catherine P. Fulford, Meng Fen Grace Lin, Christina Higa. 125-131 [doi]
• Interpretable Knowledge Gain Prediction for Vocational Preparatory E-LearningsBenjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart. 132-137 [doi]
• Adaptive Cross-Platform Learning for Teachers in Adult and Continuing EducationThorsten Krause, Henning Gösling, Sabine Digel, Carmen Biel, Sabine Kolvenbach, Oliver Thomas. 138-143 [doi]
• Complex Learning Environments: Tensions in Student Perspectives that Indicate Competing ValuesMinghao Cai, Carrie Demmans Epp, Tahereh Firoozi. 144-149 [doi]
• Embodied Agents to Scaffold Data Science EducationTanmay Sinha, Shivam Malhotra. 150-155 [doi]
• Democratizing Emotion Research in Learning SciencesTanmay Sinha, Sunidhi Dhandhania. 156-162 [doi]
• Sensing Human Signals of Motivation Processes During STEM TasksRichard DiNinni, Albert Rizzo. 163-167 [doi]
• Implementation of a Mathematics Formative Assessment Online Tool Before and During Remote LearningJamie Gillespie, Kevin Winn, Malinda Faber, Jessica Hunt. 168-173 [doi]
• Using Genetic Programming and Linear Regression for Academic Performance AnalysisGuilherme Álvaro Rodrigues Maia Esmeraldo, Robson G. F. Feitosa, Cicero Samuel Mendes, Cícero Carlos Oliveira, Esdras Bispo Junior, Allan Carlos de Sousa, Gustavo Campos. 174-179 [doi]
• Where Is the AI? AI Literacy for EducatorsLesley Wilton, Stephen Ip, Meera Sharma, Frank Fan. 180-188 [doi]
• Increasing Teachers' Trust in Automatic Text Assessment Through Named-Entity RecognitionCandy Walter. 191-194 [doi]
• A Transparency Index Framework for AI in EducationMuhammad Ali Chaudhry, Mutlu Cukurova, Rose Luckin. 195-198 [doi]
• Benchmarking Partial Credit Grading Algorithms for Proof Blocks ProblemsSeth Poulsen, Shubhang Kulkarni, Geoffrey L. Herman, Matthew West 0001. 199-203 [doi]
• Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward DesignFahmid Morshed Fahid, Jonathan P. Rowe, Randall D. Spain, Benjamin S. Goldberg, Robert Pokorny, James C. Lester. 204-207 [doi]
• A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online LearningShuyan Huang, Qiongqiong Liu, Jiahao Chen 0006, Xiangen Hu, Zitao Liu 0001, Weiqi Luo. 208-212 [doi]
• Wide & Deep Learning for Judging Student Performance in Online One-on-One Math ClassesJiahao Chen 0006, Zitao Liu 0001, Weiqi Luo. 213-217 [doi]
• Multimodal Behavioral Disengagement Detection for Collaborative Game-Based LearningFahmid Morshed Fahid, Halim Acosta, Seung Y. Lee, Dan Carpenter, Bradford W. Mott, Haesol Bae, Asmalina Saleh, Thomas A. Brush, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester. 218-221 [doi]
• Using Metacognitive Information and Objective Features to Predict Word Pair Learning SuccessBledar Fazlija, Mohamed Ibrahim. 222-226 [doi]
• Classifying Different Types of Talk During CollaborationSolomon Ubani, Rodney Nielsen. 227-230 [doi]
• Nonverbal Collaboration on Perceptual Learning Activities with Chemistry VisualizationsMartina A. Rau, Miranda Zahn. 231-235 [doi]
• Mining for STEM Interest Behaviors in MinecraftMatt Gadbury, H. Chad Lane. 236-239 [doi]
• A Teacher without a Soul? Social-AI, Theory of Mind, and Consciousness of a Robot TutorRinat B. Rosenberg-Kima, Alfin Thomas. 240-244 [doi]
• Semantic Modeling of Programming Practices with Local Knowledge Graphs: The Effects of Question Complexity on Student PerformanceCheng-Yu Chung, I-Han Hsiao. 245-249 [doi]
• Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in MinecraftSamuel Hum, Frank Stinar, HaeJin Lee, Jeffrey Ginger, H. Chad Lane. 250-253 [doi]
• An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math QuizRyosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata. 254-258 [doi]
• Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian TeachersArmando M. Toda, Paula T. Palomino, Luiz A. L. Rodrigues, Ana C. T. Klock, Filipe D. Pereira, Simone de Sousa Borges, Isabela Gasparini, Elaine H. Teixeira, Seiji Isotani, Alexandra I. Cristea. 259-262 [doi]
• Are All Who Wander Lost? An Exploratory Analysis of Learner Traversals of Minecraft WorldsMaricel A. Esclamado, Maria Mercedes T. Rodrigo. 263-266 [doi]
• A Comparative Assessment of US and PH Learner Traversals and In-Game Observations within MinecraftJonathan D. L. Casano, Maria Mercedes T. Rodrigo. 267-270 [doi]
• First Steps Towards Automatic Question Generation and Assessment of LL(1) GrammarsRicardo Conejo, José del Campo-Ávila, Beatriz Barros. 271-275 [doi]
• AI-Based Open-Source Gesture Retargeting to a Humanoid Teaching RobotHaeseon Yun, Heiko Hübert, Volha Taliaronak, Ralf Mayet, Murat Kirtay, Verena V. Hafner, Niels Pinkwart. 276-279 [doi]
• Supporting Representational Competencies in an Educational Video Game: What Does and Doesn't WorkTiffany Herder, Martina A. Rau. 280-283 [doi]
• Managing Learners' Memory Strength in a POMDP-Based Learning Path Recommender SystemZhao Zhang, Armelle Brun, Anne Boyer. 284-288 [doi]
• Contrastive Deep Knowledge TracingHuan Dai, Yue Yun, Yupei Zhang, Wenxin Zhang, Xuequn Shang. 289-292 [doi]
• Reflection as an Agile Course Evaluation ToolSiaw Ling Lo, Pei Hua Cher, Fernando Bello. 293-297 [doi]
• Toward Ubiquitous Foreign Language Learning Anxiety DetectionDaneih Ismail, Peter M. Hastings. 298-301 [doi]
• A Semi-automatic Approach for Generating Video Trailers for Learning PathwaysPrakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan 0001. 302-305 [doi]
• Assessment Results on the Blockchain: A Conceptual FrameworkPatrick Ocheja, Brendan Flanagan, Hiroaki Ogata. 306-310 [doi]
• Cognitive Diagnosis Focusing on Knowledge ComponentsSheng Li, Zhenyu He 0003, Quanlong Guan, Yizhou He, Liangda Fang, Weiqi Luo, Xingyu Zhu 0011. 311-314 [doi]
• Investigating Perceptions of AI-Based Decision Making in Student Success PredictionFarzana Afrin, Margaret Hamilton 0001, Charles Thevathyan, Khalid Majrashi. 315-319 [doi]
• Introducing Response Time into Guessing and Slipping for Cognitive DiagnosisPenghe Chen, Yu Lu 0003, Yang Pian, Yan Li, Yunbo Cao. 320-324 [doi]
• Engagement-Based Player Typologies Describe Game-Based Learning OutcomesStefan Slater, Ryan Baker 0001, Valerie Shute, Alex J. Bowers. 325-328 [doi]
• Quantifying Semantic Congruence to Aid in Technical Gesture Generation in Computing EducationSameena Hossain, Ayan Banerjee, Sandeep K. S. Gupta. 329-333 [doi]
• A Multi-pronged Redesign to Reduce Gaming the SystemYuanyuan Li, Xiaotian Zou, Zhenjun Ma, Ryan S. Baker. 334-337 [doi]
• Learning Optimal and Personalized Knowledge Component Sequencing PoliciesFuhua Lin, Leo Howard, Hongxin Yan. 338-342 [doi]
• Automatic Riddle Generation for Learning ResourcesNiharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa. 343-347 [doi]
• SimStu-Transformer: A Transformer-Based Approach to Simulating Student BehaviourZhaoxing Li, Lei Shi 0003, Alexandra I. Cristea, Yunzhan Zhou, Chenghao Xiao, Ziqi Pan. 348-351 [doi]
• iCreate: Mining Creative Thinking Patterns from Contextualized Educational DataNasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny. 352-356 [doi]
• Analyzing Speech Data to Detect Work Environment in Group ActivitiesValeria Barzola, Eddo Alvarado, Carlos Loja, Alex Velez, Ivan Saraiva Silva, Vanessa Echeverría. 357-361 [doi]
• Comparison of Selected- and Constructed-Response ItemsHaiying Li. 362-366 [doi]
• An Automatic Focal Period Detection Architecture for Lecture ArchivesRuozhu Sheng, Koichi Ota, Shinobu Hasegawa. 367-370 [doi]
• BERT-POS: Sentiment Analysis of MOOC Reviews Based on BERT with Part-of-Speech InformationWenxiao Liu, Shuyuan Lin, BoYu Gao, Kai Huang, Weilin Liu, Zhongcai Huang, Junjie Feng, Xinhong Chen, Feiran Huang. 371-374 [doi]
• An Adaptive Biometric Authentication System for Online Learning Environments Across Multiple DevicesRiseul Ryu, SoonJa Yeom, David Herbert 0001, Julian R. Dermoudy. 375-378 [doi]
• Detecting Teachers' in-Classroom Interactions Using a Deep Learning Based Action Recognition ModelHiroyuki Kuromiya, Rwitajit Majumdar, Hiroaki Ogata. 379-382 [doi]
• LetGrade: An Automated Grading System for Programming AssignmentsNikhila K. N., Sujit Kumar Chakrabarti. 383-386 [doi]
• Foreword to Machine Didactics: On Peer Learning of Artificial and Human PupilsDaniel Devatman Hromada. 387-390 [doi]
• Assisting Teachers in Finding Online Learning Resources: The Value of Social RecommendationsElad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron. 391-395 [doi]
• Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCsTahani Aljohani, Alexandra I. Cristea, Laila Alrajhi. 396-399 [doi]
• Authoring Inner Loops of Intelligent Tutoring Systems Using Collective IntelligenceThyago Tenório, Seiji Isotani, Ig Ibert Bittencourt. 400-404 [doi]
• Monitoring Tutor Practices to Support Self-regulated Learning in Online One-To-One Tutoring Sessions with Process MiningMadiha Khan-Galaria, Mutlu Cukurova. 405-409 [doi]
• Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and MathRichard Scruggs, Jalal Nouri, Torkel Klingberg. 410-413 [doi]
• Toward Accessible Intelligent Tutoring Systems: Integrating Cognitive Tutors and Conversational AgentsMichael Smalenberger, Kelly Smalenberger. 414-418 [doi]
• Investigating the Role of Direct Instruction About the Notional Machine in Improving Novice Programmer Mental ModelsVeronica Chiarelli, Kasia Muldner. 419-423 [doi]
• A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCsLaila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani. 424-427 [doi]
• Understanding Children's Behaviour in a Hybrid Open Learning EnvironmentVani Shree, Proma Bhattacharjee, Annapoorni Chandrashekar, Nishant Baghel. 428-431 [doi]
• Prediction of Students' Performance in E-learning Environments Based on Link Prediction in a Knowledge GraphAntonia Ettorre, Franck Michel, Catherine Faron. 432-435 [doi]
• Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive LearningFedor Dudyrev, Alexey Neznanov, Ksenia Anisimova. 436-439 [doi]
• Investigating the Role of Demographics in Predicting High Achieving StudentsAli Al-Zawqari, Gerd Vandersteen. 440-443 [doi]
• Dynamic Conversational Chatbot for Assessing Primary StudentsEsa Weerasinghe, Thamashi Kotuwegedara, Rangeena Amarasena, Prasadi Jayasinghe, Kalpani Manathunga. 444-448 [doi]
• Investigating Natural Language Processing Techniques for a Recommendation System to Support Employers, Job Seekers and Educational InstitutionsKoen Bothmer, Tim Schlippe. 449-452 [doi]
• Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic ChainsHarshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline Guadalupe Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon. 453-457 [doi]
• Predicting Knowledge Gain for MOOC Video ConsumptionChristian Otto, Markos Stamatakis, Anett Hoppe, Ralph Ewerth. 458-462 [doi]
• Programming Question Generation by a Semantic Network: A Preliminary User Study with Experienced InstructorsCheng-Yu Chung, I-Han Hsiao. 463-466 [doi]
• Obj2Sub: Unsupervised Conversion of Objective to Subjective QuestionsAarish Chhabra, Nandini Bansal, Venktesh V, Mukesh K. Mohania, Deep Dwivedi. 467-470 [doi]
• Comparing Few-Shot Learning with GPT-3 to Traditional Machine Learning Approaches for Classifying Teacher Simulation ResponsesJoshua Littenberg-Tobias, G. R. Marvez, Garron Hillaire, Justin Reich. 471-474 [doi]
• Assessing Readability of Learning Materials on Artificial Intelligence in English for Second Language LearnersYo Ehara. 475-478 [doi]
• Mirroring to Encourage Online Group Participation and Scaffold CollaborationAdetunji Adeniran, Judith Masthoff. 479-482 [doi]
• When the Going Gets Tough: Students' Perceptions on Affect-Aware Support in an Exploratory Learning Environment for FractionsBeate Grawemeyer, Manolis Mavrikis, Wayne Holmes. 483-487 [doi]
• Using Log Data to Validate Performance Assessments of Mathematical Modeling PracticesJoe Olsen, Amy Adair, Janice D. Gobert, Michael Sao Pedro, Mariel O'Brien. 488-491 [doi]
• A Mobile Invented Spelling Tutoring SystemDaniel Weitekamp III, Patience Stevens. 492-496 [doi]
• A Conversational Recommender System for Exploring Pedagogical Design PatternsNasrin Dehbozorgi, Dinesh Chowdary Attota. 497-501 [doi]
• Understanding Self-Directed Learning with Sequential Pattern MiningSungeun An, Spencer Rugaber, Jennifer Hammock, Ashok K. Goel 0001. 502-505 [doi]
• Using Participatory Design Studies to Collaboratively Create Teacher DashboardsIndrani Dey, Rachel Dickler, Leanne Hirshfield, William Goss, Mike Tissenbaum, Sadhana Puntambekar. 506-509 [doi]
• An AI-Based Feedback Visualisation System for Speech TrainingAdam T. Wynn, Jingyun Wang, Kaoru Umezawa, Alexandra I. Cristea. 510-514 [doi]
• Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling EnvironmentCaitlin Snyder, Cai-Ting Wen, Gautam Biswas. 515-519 [doi]
• How Item and Learner Characteristics Matter in Intelligent Tutoring Systems DataJohn Hollander, John Sabatini, Art Graesser. 520-523 [doi]
• More Powerful A/B Testing Using Auxiliary Data and Deep LearningAdam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan. 524-527 [doi]
• ARIN-561: An Educational Game for Learning Artificial Intelligence for High-School StudentsNing Wang, Eric Greenwald, Ryan Montgomery, Maxyn Leitner. 528-531 [doi]
• Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving MLJohannes Schleiss, Kolja Günther, Sebastian Stober. 532-536 [doi]
• Distributional Estimation of Personalized Second-Language Vocabulary Sizes with Wordlists that the Learner is Likely to KnowYo Ehara. 537-541 [doi]
• MOOCs Paid Certification Prediction Using Students Discussion ForumsMohammad Alshehri, Alexandra I. Cristea. 542-545 [doi]
• Exploring Student Engagement in an Online Programming Course Using Machine Learning MethodsSophia Polito, Irena Koprinska, Bryn Jeffries. 546-550 [doi]
• Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical ConversationsDebajyoti Datta, Maria Phillips, James P. Bywater, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown. 551-554 [doi]
• Assessing the Practical Benefit of Automated Short-Answer GradersUlrike Padó. 555-559 [doi]
• Supporting Therapists' Assessment in Parent-Mediated Training Through Autonomous Data CollectionDaniel C. Tozadore, Michele Carnieto Tozadore, Maria Stella Coutinho de Alcantara Gil. 560-563 [doi]
• On Providing Natural Language Support for Intelligent Tutoring SystemsRomina Soledad Albornoz-De Luise, Pablo Arnau-González, Miguel Arevalillo-Herráez. 564-568 [doi]
• Data-driven Behavioural and Affective Nudging of Online Learners: System Architecture and DesignMarie-Luce Bourguet, Jacqueline Urakami, Gentiane Venture. 569-572 [doi]
• On Applicability of Neural Language Models for Readability Assessment in FilipinoMichael Ibañez, Lloyd Lois Antonie Reyes, Ranz Sapinit, Mohammed Hussien, Joseph Marvin Imperial. 573-576 [doi]
• Preliminary Design of an AI Service to Assist Self-regulated Learning by Edge ComputingEason Chen, Yuen-Hsien Tseng, Yu-Tang You, Kuo-Ping Lo, Chris Lin. 577-581 [doi]
• Education Theories and AI Affordances: Design and Implementation of an Intelligent Computer Assisted Language Learning SystemXiaobin Chen, Elizabeth Bear, Bronson Hui, Haemanth Santhi Ponnusamy, Detmar Meurers. 582-585 [doi]
• Question Personalization in an Intelligent Tutoring SystemSabina Elkins, Ekaterina Kochmar, Robert Belfer, Iulian Serban, Jackie Chi Kit Cheung. 586-590 [doi]
• Considering Disengaged Responses in Bayesian and Deep Knowledge TracingGuher Gorgun, Okan Bulut. 591-594 [doi]
• K-12BERT: BERT for K-12 EducationVasu Goel, Dhruv Sahnan, Venktesh V, Gaurav Sharma, Deep Dwivedi, Mukesh K. Mohania. 595-598 [doi]
• Data Mining of Syntax Errors in a Large-Scale Online Python CourseJung A. Lee, Irena Koprinska, Bryn Jeffries. 599-603 [doi]
• It Takes Two: Examining the Effects of Collaborative Teaching of a Robot LearnerChristina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael Diamond, Adriana Kovashka, Diane Litman, Timothy Nokes-Malach, Erin Walker. 604-607 [doi]
• Automatic Identification of Non-native English Speaker's Phoneme Mispronunciation TendenciesShi Pu, Lee Becker, Misaki Kato. 608-611 [doi]
• Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting SolvabilityLeonard Tang, Elizabeth Ke, Nikhil Singh 0003, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori. 612-615 [doi]
• Prerequisite Graph Extraction from LecturesIlaria Torre 0001, Luca Mirenda, Gianni Viardo Vercelli, Fulvio Mastrogiovanni. 616-619 [doi]