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LEADER 00000cam a2200529Ii 4500 
003    OCoLC 
005    20190319055826.9 
006    m     o  d         
007    cr cnu|||unuuu 
008    190204s2019    si      ob    001 0 eng d 
019    SpringerEBAon1084251668 
020    9789811361753|q(electronic bk.) 
020    9811361754|q(electronic bk.) 
020    |z9789811361746 
020    |z9811361746 
024 7  10.1007/978-981-13-6175-3|2doi 
040    N$T|beng|erda|epn|cN$T|dN$T|dGW5XE|dYDX|dEBLCP|dCEF|dOCLCF
049    MAIN 
050  4 Q335 
082 04 006.3|223 
100 1  Nagao, Katashi,|eauthor. 
245 10 Artificial Intelligence Accelerates Human Learning :
       |bDiscussion Data Analytics /|cKatashi Nagao. 
264  1 Singapore :|bSpringer,|c[2019] 
300    1 online resource. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
504    Includes bibliographical references. 
505 0  Intro; Preface; Contents; 1 Artificial Intelligence 
       in Education; 1.1 AI and Education; 1.2 e-Learning; 1.3 
       Intelligent Tutoring System; 1.4 Learning Analytics; 1.5 
       Machine Learning Accelerates Human Learning; 1.6 Deep 
       Learning Approaches; References; 2 Discussion Data 
       Analytics; 2.1 Structure of Discussion; 2.2 Discussion 
       Mining System; 2.3 Structuring Discussion; 2.4 
       Summarization of Discussion; 2.5 Task Discovery 
       from Discussion; 2.6 Active Learning for Improving 
       Supervised Learning; 2.7 Natural Language Processing 
       for Deep Understanding of Discussion 
505 8  2.8 Natural Language Processing for Discussion Structure 
       Analysis2.9 Correctness of Discussion Structure; 2.10 
       Structuring Discussion with Pointing Information; 
       References; 3 Creative Meeting Support; 3.1 Meeting 
       Analytics; 3.2 Machine Learning for Structured Meeting 
       Content; 3.3 Post-meeting Assistance to Support Creative 
       Activities; 3.4 Evaluation of Creativity; 3.5 Future 
       of Creative Meeting; References; 4 Discussion Skills 
       Evaluation and Training; 4.1 Evaluation of Speaking 
       Ability; 4.2 Feedback of Evaluation Results; 4.3 
       Evaluation of Listening Ability; 4.4 Discussion Skills 
505 8  4.5 Gamification for Maintaining Motivation to Raise 
       Discussion AbilitiesReferences; 5 Smart Learning 
       Environments; 5.1 Environments for Evidence-Based 
       Education; 5.2 Related Work and Motivation; 5.2.1 
       Discussion Evaluation; 5.2.2 Presentation Evaluation; 
       5.2.3 Motivation; 5.3 Leaders' Saloon: A New Physical-
       Digital Learning Environment; 5.3.1 Discussion Table; 
       5.3.2 Digital Poster Panel; 5.3.3 Interactive Wall-Sized 
       Whiteboard; 5.4 Importing Discussion Mining System 
       into Leaders Saloon; 5.4.1 Discussion Visualizer; 5.4.2 
       Discussion Reminder; 5.4.3 Employing Machine Learning 
505 8  5.5 Digital Poster Presentation System5.5.1 Digital 
       Posters Versus Regular Posters; 5.5.2 Authoring Digital 
       Posters; 5.5.3 Data Acquisition from Interactions 
       with Digital Posters; 5.6 Skill Evaluation Methods; 5.6.1 
       Discussion Skills; 5.6.2 Presentation Skills; 5.7 Future 
       Features of Smart Learning Environments; 5.7.1 
       Psychophysiology-Based Activity Evaluation; 5.7.2 Virtual 
       Reality Presentation Training System; References; 6 
       Symbiosis between Humans and Artificial Intelligence; 6.1 
       Augmentation of Human Ability by AI; 6.2 Intelligent 
       Agents; 6.3 Singularity; 6.4 Human-AI Symbiosis 
505 8  6.5 Agents Embedded in Ordinary Things6.6 Artificial 
       Intelligence Accelerates Human Learning; References 
520    Focusing on students’ presentations and discussions in 
       laboratory seminars, this book presents case studies on 
       evidence-based education using artificial intelligence 
       (AI) technologies. It proposes a system to help users 
       complete research activities, and a machine-learning 
       method that makes the system suitable for long-term 
       operation by performing data mining for discussions and 
       automatically extracting essential tasks. By illustrating 
       the complete process – proposal, implementation, and 
       operation – of applying machine learning techniques to 
       real-world situations, the book will inspire researchers 
       and professionals to develop innovative new applications 
       for education. The book is divided into six chapters, the 
       first of which provides an overview of AI research and 
       practice in education. In turn, Chapter 2 describes a 
       mechanism for applying data analytics to student 
       discussions and utilizing the results for knowledge 
       creation activities such as research. Based on discussion 
       data analytics, Chapter 3 describes a creative activity 
       support system that effectively utilizes the analytical 
       results of the discussion for subsequent activities. 
       Chapter 4 discusses the incorporation of a gamification 
       method to evaluate and improve discussion skills while 
       maintaining the motivation to participate in the 
       discussion. Chapters 5 and 6 describe an advanced learning
       environment for honing students’ discussion and 
       presentation skills. Two important systems proposed here 
       are a presentation training system using virtual reality 
       technologies, and an interactive presentation/discussion 
       training system using a humanoid robot. In the former, the
       virtual space is constructed by measuring the three-
       dimensional shape of the actual auditorium, presentations 
       are performed in the same way as in the real world, and 
       the AI as audience automatically evaluates the 
       presentation and provides feedback. In the latter, a 
       humanoid robot makes some remarks on and asks questions 
       about students’ presentations, and the students practice 
       responding to it. 
650  0 Artificial intelligence. 
650  0 Learning. 
655  0 Electronic books. 
655  4 Electronic books. 
710 2  SpringerLink|eissuing body. 
776 08 |cOriginal|z9811361746|z9789811361746|w(OCoLC)1080427983 
830  0 Springer Computer Science eBooks 2019 English+
856 40 |u|zConnect to 
       ebook (University of Melbourne only) 
990    Springer EBA e-book collections for 2017-2019 
990    Springer Computer Science eBooks 2019 - Full Set 
990    Batch Ebook load (bud2) - do not edit, delete or attach 
       any records. 
991    |zNEW New collection springerlink.ebookscs2019 2019-03-18 
Location Call No. Status