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دانلود کتاب Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II

دانلود کتاب هوش مصنوعی در آموزش: بیستمین کنفرانس بین المللی، AIED 2019، شیکاگو، IL، ایالات متحده آمریکا، 25-29 ژوئن 2019، مجموعه مقالات، قسمت دوم

Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II

مشخصات کتاب

Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II

ویرایش: [1st ed.] 
نویسندگان: , , , , ,   
سری: Lecture Notes in Computer Science 11626 
ISBN (شابک) : 9783030232061 
ناشر: Springer International Publishing 
سال نشر: 2019 
تعداد صفحات: XXVII, 439
[460] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 20 Mb 

قیمت کتاب (تومان) : 41,000



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در صورت تبدیل فایل کتاب Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

توجه داشته باشید کتاب هوش مصنوعی در آموزش: بیستمین کنفرانس بین المللی، AIED 2019، شیکاگو، IL، ایالات متحده آمریکا، 25-29 ژوئن 2019، مجموعه مقالات، قسمت دوم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی در مورد کتاب هوش مصنوعی در آموزش: بیستمین کنفرانس بین المللی، AIED 2019، شیکاگو، IL، ایالات متحده آمریکا، 25-29 ژوئن 2019، مجموعه مقالات، قسمت دوم



این مجموعه دو جلدی LNCS 11625 و 11626 مجموعه مقالات داوری بیستمین کنفرانس بین المللی هوش مصنوعی در آموزش، AIED 2019، که در شیکاگو، IL، ایالات متحده آمریکا، در ژوئن 2019 برگزار شد را تشکیل می دهد. p> 45 مقاله کامل ارائه شده به همراه 41 مقاله کوتاه، 10 مقاله کنسرسیوم دکتری، 6 مقاله صنعتی و 10 مقاله کارگاهی به دقت بررسی و از بین 177 مقاله ارسالی انتخاب شدند. AIED 2019 مقالات تجربی و نظری را به‌ویژه در زمینه‌های تحقیق و کاربرد زیر درخواست می‌کند: فناوری‌های هوشمند و تعاملی در زمینه آموزشی؛ مدل سازی و نمایندگی؛ الگوهای تدریس و یادگیری؛ زمینه های یادگیری و یادگیری غیررسمی؛ ارزیابی؛ برنامه های کاربردی نوآورانه؛ تکنیک‌های هوشمند برای حمایت از مدارس و دانش‌آموزان محروم، نابرابری و نابرابری در آموزش.​


توضیحاتی درمورد کتاب به خارجی

This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019.

The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education.​



فهرست مطالب

Front Matter ....Pages i-xxvii
Front Matter ....Pages 1-1
Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration (Adetunji Adeniran, Judith Masthoff, Nigel Beacham)....Pages 3-8
Identifying Editor Roles in Argumentative Writing from Student Revision Histories (Tazin Afrin, Diane Litman)....Pages 9-13
Degree Curriculum Contraction: A Vector Space Approach (Mohamed Alkaoud, Zachary A. Pardos)....Pages 14-18
L2 Learners’ Preferences of Dialogue Agents: A Key to Achieve Adaptive Motivational Support? (Emmanuel Ayedoun, Yuki Hayashi, Kazuhisa Seta)....Pages 19-23
Eye Gaze Sequence Analysis to Model Memory in E-education (Maël Beuget, Sylvain Castagnos, Christophe Luxembourger, Anne Boyer)....Pages 24-29
What Inquiry with Virtual Labs Can Learn from Productive Failure: A Theory-Driven Study of Students’ Reflections (Charleen Brand, Jonathan Massey-Allard, Sarah Perez, Nikol Rummel, Ido Roll)....Pages 30-35
The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning (Elizabeth B. Cloude, Michelle Taub, James Lester, Roger Azevedo)....Pages 36-40
Autoencoders for Educational Assessment (Geoffrey Converse, Mariana Curi, Suely Oliveira)....Pages 41-45
The Value of Multimodal Data in Classification of Social and Emotional Aspects of Tutoring (Mutlu Cukurova, Carmel Kent, Rosemary Luckin)....Pages 46-51
Conscientiousness, Honesty-Humility, and Analogical/Creative Reasoning: Implications for Instructional Designs in Intelligent Tutoring Systems (Jeanine A. DeFalco, Anne M. Sinatra, Elizabeth Rodriguez, R. Stan Hum)....Pages 52-57
Learners’ Gaze Behaviors and Metacognitive Judgments with an Agent-Based Multimedia Environment (Daryn A. Dever, Megan Wiedbusch, Roger Azevedo)....Pages 58-61
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning (Nicholas Diana, John Stamper, Kenneth Koedinger)....Pages 62-66
Early Dropout Prediction for Programming Courses Supported by Online Judges (Filipe D. Pereira, Elaine Oliveira, Alexandra Cristea, David Fernandes, Luciano Silva, Gene Aguiar et al.)....Pages 67-72
Developing a Deep Learning-Based Affect Recognition System for Young Children (Amir Hossein Farzaneh, Yanghee Kim, Mengxi Zhou, Xiaojun Qi)....Pages 73-78
Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product (Mingyu Feng, Daniel Brenner, Andrew Coulson)....Pages 79-83
Bayesian Diagnosis Tracing: Application of Procedural Misconceptions in Knowledge Tracing (Junchen Feng, Bo Zhang, Yuchen Li, Qiushi Xu)....Pages 84-88
Analysis of Gamification Elements. A Case Study in a Computer Science Course (Miguel García Iruela, Manuel J. Fonseca, Raquel Hijón Neira, Teresa Chambel)....Pages 89-93
Towards Adaptive Worked-Out Examples in an Intelligent Tutoring System (Nicholas Green, Barbara Di Eugenio, Davide Fossati)....Pages 94-99
Orchestrating Class Discussion with Collaborative Kit-Build Concept Mapping (Yusuke Hayashi, Toshihiro Nomura, Tsukasa Hirashima)....Pages 100-104
Automating the Categorization of Learning Activities, to Help Improve Learning Design (Wayne Holmes, Juliette Culver)....Pages 105-109
Identifying the Structure of Students’ Explanatory Essays (Simon Hughes, Peter Hastings, M. Anne Britt)....Pages 110-115
A Systematic Approach for Analyzing Students’ Computational Modeling Processes in C2STEM (Nicole Hutchins, Gautam Biswas, Shuchi Grover, Satabdi Basu, Caitlin Snyder)....Pages 116-121
Intelligent Tutoring System for Negotiation Skills Training (Emmanuel Johnson, Gale Lucas, Peter Kim, Jonathan Gratch)....Pages 122-127
Robot Lecture for Enhancing Non-verbal Behavior in Lecture (Akihiro Kashihara, Tatsuya Ishino, Mitsuhiro Goto)....Pages 128-132
Design Prompts for Virtual Reality in Education (Lawrence Kizilkaya, David Vince, Wayne Holmes)....Pages 133-137
Assessing and Improving Learning Outcomes for Power Management Experiments Using Cognitive Graph (Yi Kuang, Bin Duan, Shuyang Zhong, Mengping Lv)....Pages 138-142
Does Choosing the Concept on Which to Solve Each Practice Problem in an Adaptive Tutor Affect Learning? (Amruth N. Kumar)....Pages 143-147
Measuring Content Complexity of Technical Texts: Machine Learning Experiments (M. Zakaria Kurdi)....Pages 148-152
Should Students Use Digital Scratchpads? Impact of Using a Digital Assistive Tool on Arithmetic Problem-Solving (Minji Kwak, Gahgene Gweon)....Pages 153-157
What Does Time Tell? Tracing the Forgetting Curve Using Deep Knowledge Tracing (Amar Lalwani, Sweety Agrawal)....Pages 158-162
Evaluating the Transfer of Scaffolded Inquiry: What Sticks and Does It Last? (Haiying Li, Janice Gobert, Rachel Dickler)....Pages 163-168
Automatic Short Answer Grading via Multiway Attention Networks (Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu)....Pages 169-173
Automatic Classification of Error Types in Solutions to Programming Assignments at Online Learning Platform (Artyom Lobanov, Timofey Bryksin, Alexey Shpilman)....Pages 174-178
Using Recurrent Neural Networks to Build a Stopping Algorithm for an Adaptive Assessment (Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun)....Pages 179-184
Participatory Design to Lower the Threshold for Intelligent Support Authoring (Manolis Mavrikis, Sokratis Karkalas, Mutlu Cukurova, Emmanouela Papapesiou)....Pages 185-189
Finding Relevant e-Learning Materials (Blessing Mbipom)....Pages 190-194
Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs (Wookhee Min, Kyungjin Park, Joseph Wiggins, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer et al.)....Pages 195-200
Pique: Recommending a Personalized Sequence of Research Papers to Engage Student Curiosity (Maryam Mohseni, Mary Lou Maher, Kazjon Grace, Nadia Najjar, Fakhri Abbas, Omar Eltayeby)....Pages 201-205
Group Formation for Collaborative Learning (Chinasa Odo, Judith Masthoff, Nigel Beacham)....Pages 206-212
AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor (Natalie Parde, Rodney D. Nielsen)....Pages 213-219
Discovery of Study Patterns that Impacts Students’ Discussion Performance in Forum Assignments (Bruno Elias Penteado, Seiji Isotani, Paula Maria Pereira Paiva, Marina Morettin-Zupelari, Deborah Viviane Ferrari)....Pages 220-225
Automatic Construction of a Phonics Curriculum for Reading Education Using the Transformer Neural Network (Cassandra Potier Watkins, Olivier Dehaene, Stanislas Dehaene)....Pages 226-231
An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing (Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, Kentaro Inui)....Pages 232-236
Towards an Automatic Q&A Generation for Online Courses - A Pipeline Based Approach (Sylvio Rüdian, Niels Pinkwart)....Pages 237-241
Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning (Ștefan Rușeți, Raja Lala, Gabriel Guțu-Robu, Mihai Dascălu, Johan Jeuring, Marcell van Geest)....Pages 242-246
Developing Game-Based Models of Cooperation, Persistence and Problem Solving from Collaborative Gameplay (Maria Ofelia Z. San Pedro, Ruitao Liu, Tamera L. McKinniss)....Pages 247-251
An Intelligent-Agent Facilitated Scaffold for Fostering Reflection in a Team-Based Project Course (Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Marshall An, Clarence Ngoh, Michael Hilton et al.)....Pages 252-256
I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation (Arabella J. Sinclair, Rafael Ferreira, Dragan Gašević, Christopher G. Lucas, Adam Lopez)....Pages 257-262
Understanding Students’ Model Building Strategies Through Discourse Analysis (Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shuchi Grover)....Pages 263-268
Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise (John Stamper, Steven Moore)....Pages 269-274
Learning from Videos Showing a Dialog Fosters More Positive Affect Than Learning from a Monolog (Samantha Stranc, Kasia Muldner)....Pages 275-280
Automated Feedback on the Structure of Hypothesis Tests (Sietske Tacoma, Bastiaan Heeren, Johan Jeuring, Paul Drijvers)....Pages 281-285
Informing the Utility of Learning Interventions: Investigating Factors Related to Students’ Academic Achievement in Classroom and Online Courses (Anna-Lena Theus, Kasia Muldner)....Pages 286-291
Auto-Sending Messages in an Intelligent Orchestration System: A Pilot Study (Kurt VanLehn, Salman Cheema, Seokmin Kang, Jon Wetzel)....Pages 292-297
Adaptive Learning Material Recommendation in Online Language Education (Shuhan Wang, Hao Wu, Ji Hun Kim, Erik Andersen)....Pages 298-302
Deep Knowledge Tracing with Side Information (Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu)....Pages 303-308
Analysis of Holistic Interactions Between Lecturers and Students in Lectures (Eiji Watanabe, Takashi Ozeki, Takeshi Kohama)....Pages 309-313
Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments (Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe et al.)....Pages 314-318
Investigating on Discussion for Sharing Understanding by Using Reciprocal Kit-Build Concept Map (Warunya Wunnasri, Jaruwat Pailai, Yusuke Hayashi, Tsukasa Hirashima)....Pages 319-323
Front Matter ....Pages 325-325
Detection of Collaboration: Relationship Between Log and Speech-Based Classification (Sree Aurovindh Viswanathan, Kurt Vanlehn)....Pages 327-331
An Intelligent Tutoring System and Teacher Dashboard to Support Mathematizing During Science Inquiry (Rachel Dickler)....Pages 332-338
Towards Adaptive Hour of Code (Tomáš Effenberger)....Pages 339-343
Leaving No One Behind: Educating Those Most Impacted by Artificial Intelligence (Laura Gemmell, Lucy Wenham, Sabine Hauert)....Pages 344-349
Modeling Students’ Behavior Using Sequential Patterns to Predict Their Performance (Mehrdad Mirzaei, Shaghayegh Sahebi)....Pages 350-353
Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes (Anabil Munshi, Gautam Biswas)....Pages 354-358
Analyzing Engagement in an On-Line Session (Vandana Naik, Venkatesh Kamat)....Pages 359-364
A Machine Learning Grading System Using Chatbots (Ifeanyi G. Ndukwe, Ben K. Daniel, Chukwudi E. Amadi)....Pages 365-368
Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning (Machi Shimmei, Noboru Matsuda)....Pages 369-373
A Virtual Counselor for Genetic Risk Communication (Shuo Zhou, Timothy Bickmore)....Pages 374-378
Front Matter ....Pages 379-379
A Multimodal Alerting System for Online Class Quality Assurance (Jiahao Chen, Hang Li, Wenxin Wang, Wenbiao Ding, Gale Yan Huang, Zitao Liu)....Pages 381-385
Leveraging Cognitive Science and Artificial Intelligence to Save Lives (Matthew Jensen Hays, Aaron Richard Glick, H. Chad Lane)....Pages 386-391
A Task-Oriented Dialogue System for Moral Education (Yan Peng, Penghe Chen, Yu Lu, Qinggang Meng, Qi Xu, Shengquan Yu)....Pages 392-397
Leveraging Student Self-reports to Predict Learning Outcomes (Shaveen Singh)....Pages 398-403
Toward a Scalable Learning Analytics Solution (Josine Verhagen, David Hatfield, Dylan Arena)....Pages 404-408
Motivating Students to Ask More Questions (Yuan Wang, Turner Bohlen, Linda Elkins-Tanton, James Tanton)....Pages 409-412
Towards Helping Teachers Select Optimal Content for Students (Xiaotian Zou, Wei Ma, Zhenjun Ma, Ryan S. Baker)....Pages 413-417
Back Matter ....Pages 419-439




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