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Bibliographic Details
Main Authors: Yu, Shengquan (Author), Lu, Yu (Author)
Format: Book
Language:English
Published: Singapore, Singapore Springer [2021]
Series:Bridging human and machine: future education with intelligence
Subjects:
Education
Education—Data processing
Künstliche Intelligenz
Unterrichtstechnologie
Links:http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033197952&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033197952&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:viii, 198 Seiten Illustrationen, Diagramme
ISBN:9789811627699
Staff View

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Record in the Search Index

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adam_text Contents 1 Introduction .................................................................................................. 1.1 Cognition and Learning in the Age of AI......................................... 1.2 A Brief History of AI in Education.................................................. 1.3 Typical Areas of AI in Education .................................................... References ................................................................................................ 2 An Overview of AI ....................................................................................... 2.1 Basic Approaches in AI ................................................................... 2.2 Major AI Technologies ..................................................................... 2.3 Typical Open-Source AI Projects and Cloud Services ..................... References ................................................................................................ 3 Intelligent Learning Environments........................................................... 3.1 Smart Campus .................................................................................. 3.2 Campus Safety Detection and Early Alarming ................................ 3.3 Smart Classrooms ............................................................................ 3.4 Smart Library.................................................................................... 3.5 Intelligent Writing System ............................................................... References ................................................................................................ 4 Intelligent Learning Processes ................................................................... 4.1 Introduction ..................................................................................... 4.1.1 Intelligent Mapping and Visualizing of Knowledge and Competency ................................................................... 4.1.2 Intelligent Diagnoses and Recommendations...................... 4.1.3 Monitoring Learning Load .................................................. 4.1.4 Virtual Environment for Inquiry-Based Learning ............... 4.1.5 Intelligent Domain-Specific Tools ....................................... 4.1.6 Intelligently Assisted Learning Based on Brain Science .... 4.1.7 Intelligent Robotics and Toys .............................................. 4.1.8 Intelligent Assistant in Special Education............................ References ................................................................................................ 1 2 2 4 6 9 9 11 22 26 29 32 35 38 45 48 51 53 53 54 58 64 66 71 80 85 92 99 vii viii Contents 5 Intelligent Teacher Assistant ......................................................................... 5.1 Intelligent Tutoring ............................................................................... 5.2 Intelligent Question Answering........................................................... 5.3 Intelligent Test Generation and Evaluation ........................................ 5.4 Generation of Report for Education ................................................... 5.5 Personalized Assignment and Dialogue System ................................ 5.6 Automated Assessment of Speaking................................................... References ...................................................................................................... 6 Intelligent Educational Evaluation .............................................................. 6.1 The Diagnosis and Evaluation of Problem-Solving Skills................ 6.2 Mental Health Monitoring, Early Warning, and Intervention .......... 6.3 Physical Health Monitoring and Improvement .................................. 6.4 Smart Class Evaluation......................................................................... References ...................................................................................................... 7 Intelligent Educational Management and Service................................... 7.1 7.2 7.3 AI to Promote Education Equity ......................................................... Big Data to Support Intelligent Decision-Making in Education .... Intelligent Technologies to Improve the Quality of Regional Teaching ....................................................................................... 151 7.4 Dynamic Monitoring of Education Quality ....................................... 7.5 Customized Education Services ......................................................... 7.6 Intelligent Medical Assistants at School ........................................... References ...................................................................................................... 8 Frontiers of AI in Education ....................................................................... 8.1 Educational Knowledge Graph .......................................................... 8.2 Cognitive Diagnosis ............................................................................ 8.3 Student Modeling ................................................................................ 8.4 Educational Question Representation................................................ 8.5 Machine Reading Comprehension and Scoring ............................... 8.6 Intelligent Tutoring System ................................................................ 8.7 Neuroscience and Education .............................................................. 8.8 Human-Machine Integration .............................................................. References ...................................................................................................... 9 Prospects and Reflections: Looking into the Future .............................. 9.1 Prospects of AI in Education ............................................................... 9.2 Reflections on AI in Education ........................................................... 9.3 Suggestions for Promoting AI in Education ..................................... References ...................................................................................................... 101 102 108 110 115 117 119 123 125 126 131 135 137 140 141 142 146 153 157 160 168 169 170 172 174 176 178 180 182 183 184 189 189 192 194 198 This book systematically reviews a broad range of cases in education that utilize cuttingedge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds. The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain.
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publishDate 2021
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series2 Bridging human and machine: future education with intelligence
spellingShingle Yu, Shengquan
Lu, Yu
An introduction to artificial intelligence in education
Education
Education—Data processing
Künstliche Intelligenz (DE-588)4033447-8 gnd
Unterrichtstechnologie (DE-588)4078641-9 gnd
subject_GND (DE-588)4033447-8
(DE-588)4078641-9
title An introduction to artificial intelligence in education
title_alt An introduction to AI in education
title_auth An introduction to artificial intelligence in education
title_exact_search An introduction to artificial intelligence in education
title_full An introduction to artificial intelligence in education Shengquan Yu, Yu Lu
title_fullStr An introduction to artificial intelligence in education Shengquan Yu, Yu Lu
title_full_unstemmed An introduction to artificial intelligence in education Shengquan Yu, Yu Lu
title_short An introduction to artificial intelligence in education
title_sort an introduction to artificial intelligence in education
topic Education
Education—Data processing
Künstliche Intelligenz (DE-588)4033447-8 gnd
Unterrichtstechnologie (DE-588)4078641-9 gnd
topic_facet Education
Education—Data processing
Künstliche Intelligenz
Unterrichtstechnologie
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