Artificial Intelligence in Education: 22nd International Conference, Aied 2021, Utrecht, the Netherlands, June 14-18, 2021, Proceedings, Part I, Roll Ido, McNamara Danielle, Sosnovsky Sergey
Keynotes.- Scrutability, control and learner models: foundations for learner-centred design in AIED.- Augmenting learning with smart design, smart systems, and intelligence.- Invited Panels.- Mind the Gap: The Bidirectional Relationship between Diversity, Equity, and Inclusion (DEI) and Artificial Intelligence (AI).- Research-based Digital-first Assessments and the Future of Education.- Short Papers.- Open Learner Models for Multi-Activity Educational Systems.- Personal vocabulary recommendation to support real life needs.- AI Ethics Guidelines for K-12 Education: A Review of the Policy Landscape.- Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse.-Generation of automatic data-driven feedback to students using Explainable Machine Learning.- Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS.- Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren's Behaviour versus Teacher Control over NeighboursIntegration of Automated Essay Scoring Models using Item Response Theory.- Towards sharing student models across learning systems.- Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks.- Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?.- Exploiting structured error to improve automated scoring of oral reading fluency.- Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success.-The School Path Guide: a Practical Introduction to Representation and Reasoning in AI for High School Students.- Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses.- Early Prediction of Children's Disengagement in a Tablet Tutor using Visual Features.- An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms.- Designing intelligent systems to support medical diagnostic reasoning using process data.- Incorporating Item Response Theory into Knowledge Tracing.- The Automated Model of Comprehension (AMoC) v2.0.- Pre-course Prediction of At-Risk Calculus Students.- Examining Learners' Reflections over Time during Game-based Learning.- Examining the Use of a Teacher Alerting Dashboard During Remote Learning.- Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study.- Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education.- Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits.-Analytics of Emerging and Scripted Roles in Online Discussions: Epistemic Network Analysis Approach.- Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays.- Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course.- Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution.- Interactive Teaching with Groups of Unknown Bayesian Learners.- Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models.- Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM.- Evaluation of Automated Image Descriptions for Visually Impaired Students.- Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety.- "I didn't copy his code" Code Plagiarism Detection with Visual Proof.- An Epistemic Model-Based Tutor for Imperative Programming.- Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors.- Facilitating the Implementation of AI-based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A practical Design Thinking Approach.- Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic.- I-Mouse: A Framework f
Автор: Bittencourt Ig Ibert, Cukurova Mutlu, Muldner Kasia Название: Artificial Intelligence in Education: 21st International Conference, Aied 2020, Ifrane, Morocco, July 6-10, 2020, Proceedings, Part II ISBN: 3030522393 ISBN-13(EAN): 9783030522391 Издательство: Springer Цена: 83850.00 T Наличие на складе: Поставка под заказ. Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Full Papers.- Short Papers.- Industry & Innovation Papers.- Doctoral Consortium Papers.- Workshops.
Автор: Sun Xingming, Zhang Xiaorui, Xia Zhihua Название: Artificial Intelligence and Security: 7th International Conference, Icais 2021, Dublin, Ireland, July 19-23, 2021, Proceedings, Part II ISBN: 3030786110 ISBN-13(EAN): 9783030786113 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume set of LNCS 12736-12737 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021.
Автор: Degen Helmut, Reinerman-Jones Lauren Название: Artificial Intelligence in Hci: First International Conference, Ai-Hci 2020, Held as Part of the 22nd Hci International Conference, Hcii 2020, Copenha ISBN: 303050333X ISBN-13(EAN): 9783030503338 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020.
Автор: Sun Xingming, Zhang Xiaorui, Xia Zhihua Название: Artificial Intelligence and Security: 7th International Conference, Icais 2021, Dublin, Ireland, July 19-23, 2021, Proceedings, Part I ISBN: 3030786080 ISBN-13(EAN): 9783030786083 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume set of LNCS 12736-12737 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021.
Автор: Singh Mohit, Williamson David P. Название: Integer Programming and Combinatorial Optimization: 22nd International Conference, Ipco 2021, Atlanta, Ga, Usa, May 19-21, 2021, Proceedings ISBN: 3030738787 ISBN-13(EAN): 9783030738785 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 22nd Conference on Integer Programming and Combinatorial Optimization, IPCO 2021, which took place during May 19-21, 2021. The conference was organized by Georgia Institute of Technology and planned to take place it Atlanta, GA, USA, but changed to an online format due to the COVID-19 pandemic.
Автор: Hohlfeld Oliver, Lutu Andra, Levin Dave Название: Passive and Active Measurement: 22nd International Conference, Pam 2021, Virtual Event, March 29 - April 1, 2021, Proceedings ISBN: 3030725812 ISBN-13(EAN): 9783030725815 Издательство: Springer Цена: 105590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 22nd Conference on Passive and Active Measurement, PAM 2021, which was planned to be held in Cottbus, Germany, in March 2021.
Автор: Iliadis Lazaros, Macintyre John, Jayne Chrisina Название: Proceedings of the 22nd Engineering Applications of Neural Networks Conference: Eann 2021 ISBN: 3030805670 ISBN-13(EAN): 9783030805678 Издательство: Springer Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Automatic Facial Expression Neutralisation Using Generative Adversarial Network.- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification.- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection.- Anomaly Detection by Robust Feature Reconstruction.- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia.- Deep learning topology-preserving EEG-based images for autism detection in infants.- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors.- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.
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