An introduction to artificial intelligence in education:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore, Singapore
Springer
[2021]
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| Schriftenreihe: | Bridging human and machine: future education with intelligence
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | viii, 198 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811627699 |
Internformat
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Datensatz im Suchindex
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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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| adam_txt |
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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| language | English |
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| spelling | Yu, Shengquan Verfasser (DE-588)1159920176 aut An introduction to artificial intelligence in education Shengquan Yu, Yu Lu An introduction to AI in education Singapore, Singapore Springer [2021] © 2021 viii, 198 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Bridging human and machine: future education with intelligence Education Education—Data processing Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Unterrichtstechnologie (DE-588)4078641-9 gnd rswk-swf Unterrichtstechnologie (DE-588)4078641-9 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Lu, Yu Verfasser aut Erscheint auch als Online-Ausgabe 978-981-16-2770-5 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf 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 Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf 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 Klappentext |
| 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 |
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| 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_exact_search_txtP | 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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