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Artificial intelligence in education : emerging technologies, models and applications / / edited by Eric C. K. Cheng [and three others]
| Artificial intelligence in education : emerging technologies, models and applications / / edited by Eric C. K. Cheng [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (369 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Artificial intelligence - Educational applications
Educational technology |
| ISBN |
981-16-7527-9
981-16-7526-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Conference Committees -- Preface -- Contents -- About the Editors -- An Overview of AI in Education -- Towards a Tripartite Research Agenda: A Scoping Review of Artificial Intelligence in Education Research -- 1 Introduction -- 2 Background -- 2.1 What is AI, Anyway? -- 2.2 How is AI Impacting Education? -- 3 Methodology -- 3.1 Research Questions -- 3.2 Data Source -- 3.3 Search Terms and Searching Strategies -- 3.4 Eligibility Criteria -- 3.5 Coding and Analysis -- 4 Results -- 4.1 Journals Distribution and Article Count -- 4.2 Geographic Distributions -- 4.3 Subject Areas -- 4.4 Key AI Technics and Technologies Involved -- 4.5 Research Focus of AIED -- 5 Discussions and Implications -- 6 Limitations and Future Review -- References -- Analysis of Research Progress in the Field of Educational Technology in China-Research on Knowledge Graph Based on CSSCI (2015-2020) -- 1 Introduction -- 2 Data Sources and Research Methods -- 2.1 Sample Collection -- 2.2 Research Methods -- 3 Analysis of Research Results -- 3.1 Analysis of the Amount of Papers Issued -- 3.2 Distribution of Academic Research Institutions -- 3.3 Distribution of High-Output and High-Influencers -- 3.4 Research Hotspots and Topics -- 3.5 Research Trend Analysis -- 4 Research Conclusions -- References -- AI Technologies and Innovations -- A Two-Stage NER Method for Outstanding Papers in MCM -- 1 Introduction -- 2 Literature Review -- 3 Our Method -- 3.1 Descriptive Statistical Analysis -- 3.2 Pre-processing -- 3.3 POS Labeling -- 3.4 Two-Stage NER -- 3.5 Two-Stage NER Method Applying -- 4 Conclusion and Future Work -- References -- Comprehensibility Analysis and Assessment of Academic Texts -- 1 Introduction -- 2 Related Work -- 3 Applied Methodology -- 3.1 Document Representation -- 3.2 Comprehensibility Measures -- 3.3 Methodology for Evaluation and Feedback.
4 Document Collection -- 5 Comprehensibility Measures in Academic Levels -- 5.1 Problem Statement Section -- 5.2 Justification Section -- 5.3 Results Section -- 5.4 Analysis of Measures in Academic Text Collection -- 6 New Texts Evaluation and Feedback -- 6.1 Example of Feedback Visualization of an ACT-Level Text -- 6.2 Example of Feedback Visualization of Doctoral level Text -- 6.3 Additional Comments -- 7 Conclusions -- References -- Deep Learning Techniques for Automatic Short Answer Grading: Predicting Scores for English and German Answers -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Evaluation Metrics -- 3.2 Corpora -- 3.3 English Short Answer Grading Data Set -- 3.4 German Short Answer Grading Data Set -- 4 Techniques -- 4.1 Feature Extraction Architecture -- 4.2 Fine-Tuning Architecture -- 5 Experiments and Results -- 5.1 English Automatic Short Answer Grading -- 5.2 German Automatic Short Answer Grading -- 5.3 Experiments with Removed and Added Annotations on the German Data Set -- 5.4 Final Results -- 6 Experiments and Results -- References -- Solving Chemistry Problems Involving Some Isomers of Benzene Ring -- 1 Introduction -- 1.1 Research Background -- 1.2 Research Problem and Challenge -- 2 Literature Review -- 3 Automatic Solution Based on the Syntactic-Semantic Mode -- 4 Automatic Solution Isomers with Benzene Ring -- 4.1 Text Processing -- 4.2 Figure Recognition and Transformation -- 5 Knowledge Base Matching -- 6 Automatic Diagnosis -- 7 Experiment -- 8 Conclusion -- References -- Automatic Question Answering System for Semantic Similarity Calculation -- 1 Introduction -- 2 System Analysis and Theoretical Conception -- 2.1 Chinese Word Segmentation Tool -- 2.2 Chinese Word Segmentation Algorithm -- 3 System Module Design -- 3.1 Chinese Word Segmentation System -- 3.2 Problem Classification and Keyword Generation. 3.3 Sentence Similarity Calculation -- 4 Core Algorithm -- 4.1 Word Segmentation Module -- 4.2 Problem Classification -- 4.3 Keyword Extraction -- 4.4 Word Similarity Calculation -- 4.5 Sentence Similarity Calculation -- 4.6 System Implementation Results -- 5 Conclusions -- References -- Solving Shaded Area Problems by Constructing Equations -- 1 Introduction -- 2 The Outline of the Proposed Solver -- 2.1 The Shaded Area Problem -- 2.2 The Framework of the Auto Solver -- 3 Solver for Finding the Shaded Area -- 3.1 Equation Construction from Geometric Diagram -- 3.2 Constructing the Linear System and Problem Solving -- 4 Experimental Result and Evaluation -- 5 Conclusion -- References -- Cross-Lingual Automatic Short Answer Grading -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Evaluation Metrics -- 3.2 Data Set -- 3.3 Natural Language Processing Models -- 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- Application of Improved ISM in the Analysis of Undergraduate Textbooks -- 1 Introduction -- 2 Research Methods -- 3 Knowledge Element Analysis -- 3.1 Knowledge Element Extraction -- 3.2 Construction of Adjacency Matrix -- 3.3 Reachability Matrix Construction -- 3.4 Hierarchical Relationship Determination -- 4 Hierarchical Model Analysis -- 5 Conclusion and Suggestion -- References -- Design of Student Management System Based on Smart Campus and Wearable Devices -- 1 Introduction -- 1.1 The Low Level of Information Management Leads to Low Efficiency -- 1.2 It is Difficult to Carry Out Differentiated Management According to the Characteristics of Individual Students -- 1.3 Unable to Obtain the Psychological Changes of the Managed -- 2 System Design -- 2.1 System Overall Design -- 2.2 System Detailed Design -- 3 Key Technology Analysis -- 3.1 Location Algorithm Based on WIFI. 3.2 Human Emotion Discrimination Algorithm Based on Wearable Devices -- 3.3 Location Algorithm Based on RFID -- 4 Conclusion -- References -- Proving Geometric Problem by Adding Auxiliary Lines-Based on Hypothetical Test -- 1 Introduction -- 2 Literature Review -- 2.1 Understanding of Plane Geometry Image -- 2.2 Resolution Principle -- 2.3 Common Guidelines for Adding Auxiliary Lines -- 3 Algorithm Design and Experiment -- 3.1 Algorithm Design -- 3.2 Algorithm Complexity Proof -- 3.3 Experiment -- 4 Conclusion -- References -- A Virtual Grasping Method of Dexterous Virtual Hand Based on Leapmotion -- 1 Introduction -- 2 Virtual Grasping Based on Forward Kinematics -- 2.1 Virtual Hand Modeling -- 2.2 Virtual Hand Motion -- 2.3 Judgment of Objects Grasped by Virtual Hands -- 3 Dexterous Virtual Hand Grasping Based on Leapmotion -- 3.1 Framework of Dexterous Virtual Hand Grasping -- 3.2 Virtual Model -- 3.3 Judgment of Objects Grasping by Virtual Hand Based on Non-Force Grasping Criteria -- 3.4 Virtual Hand Motion Based on Finger Trajectory Resampling and Inverse Kinematics -- 4 Implementation and Evaluation -- 4.1 Participants -- 4.2 Experimental Setup -- 4.3 Tasks and Processes -- 4.4 Experimental Results and Discussion -- 5 Conclusion -- References -- Performance Evaluation of Azure Kinect and Kinect 2.0 and Their Applications in 3D Key-Points Detection of Students in Classroom Environment -- 1 Introduce -- 1.1 Research Background -- 1.2 Research Challenges -- 1.3 Goals and Contributions -- 1.4 Paper Structure -- 1.5 Overview of Related Research -- 2 Evaluate the Accuracy of Depth Data Collected at Close Range from Azure Kinect and Kinect 2.0 -- 2.1 Experimental Design -- 2.2 Experimental Result -- 3 Evaluate the Performance of Depth Data Collected at Different Distances from Azure Kinect and Kinect 2.0 -- 3.1 Experimental Design. 3.2 Experimental Result -- 4 Evaluate the Effect of 3D Key-Points Detection and the Effect of ID Assignment for Multiple Persons in Various Scenes in the Classroom of Azure Kinect and Kinect 2.0 -- 4.1 Experimental Design -- 4.2 Experimental Result -- 5 Conclusion -- References -- Research on Remote Sensing Object Parallel Detection Technology Based on Deep Learning -- 1 Introduction -- 2 YOLT Object Detection Model (You Only Look Twice) -- 2.1 Summary -- 2.2 Mechanism of Convolutional Neural Network -- 2.3 Brief Introduction of Yolov2 Model -- 2.4 Network Structure of YOLT Model -- 3 Research on Parallel Target Detection Based on Yolt -- 3.1 Parallel Algorithm Description -- 3.2 Image Segmentation Algorithm Description Method -- 3.3 Parallel Goal Integration -- 3.4 Result Analysis -- References -- Research on Expression Processing Methods of Children with Autism in Different Facial Feature Types -- 1 Introduction -- 2 Experimental Method -- 2.1 Participants -- 2.2 Experimental Design -- 2.3 Experimental Materials -- 2.4 Experimental Equipment -- 2.5 Experimental Procedures -- 2.6 Data Analysis Indicators -- 3 Results -- 3.1 Expression Recognition Rate Analysis -- 3.2 Analysis of Eye-Tracking Data -- 4 Discussion -- 4.1 Expression Processing Characteristics of ASD Children Under LSF Conditions -- 4.2 Expression Processing Characteristics of ASD Children Under the Condition of Prominent Local Features -- 5 Conclusion -- References -- Teaching and Assessment Across Curricula in the Age of AI -- Improving Java Learning Outcome with Interactive Visual Tools in Higher Education -- 1 Introduction -- 2 Literature Review -- 3 Interactive Visual Tools for Learning Java -- 4 Research Design and Experiment -- 4.1 Java Course -- 4.2 Interactive Visual Tools -- 4.3 Participants -- 4.4 Experiment -- 5 Results -- 6 Discussion -- 7 Conclusion -- References. Interdisciplinarity of Foreign Languages Education Design and Management in COVID-19. |
| Record Nr. | UNINA-9910743214703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Education Technologies : New Development and Innovative Practices : Proceedings of 2022 3rd International Conference on Artificial Intelligence in Education Technology / / Eric C. K. Cheng [and three others], editors
| Artificial Intelligence in Education Technologies : New Development and Innovative Practices : Proceedings of 2022 3rd International Conference on Artificial Intelligence in Education Technology / / Eric C. K. Cheng [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (x, 218 pages) : illustrations (some color) |
| Disciplina | 371 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| Soggetto topico |
Artificial intelligence - Educational applications
Educational technology |
| ISBN | 981-19-8040-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: AI in Education in the Post-Covid New Norm -- Part II: Emerging AI Technologies, Methods, Systems, and Infrastructure -- Part III: Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies -- Part IV: Curriculum, Teacher Professional Development and Policy for AI in Education -- Part V: Issues and Discussions on AI In Education and Future Development. |
| Record Nr. | UNINA-9910639885203321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Education Technologies : New Development and Innovative Practices / / Tim Schlippe, Eric C. K. Cheng, and Tianchong Wang, editors
| Artificial Intelligence in Education Technologies : New Development and Innovative Practices / / Tim Schlippe, Eric C. K. Cheng, and Tianchong Wang, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (343 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| Soggetto topico |
Artificial intelligence - Educational applications
Educational technology |
| ISBN | 981-9979-47-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Committee -- Contents -- Educational Data Mining and Learning Analysis -- A Qualitative Evaluation of an AI-Based Study Progress Forecast -- 1 Introduction -- 2 Theoretical Background -- 3 Application Design and Architecture -- 4 Evaluation -- 4.1 Participants -- 4.2 Data Collection -- 4.3 Data Analysis -- 4.4 Results -- 5 Discussion -- 6 Conclusion -- References -- AI for Coding Education Meta-analyses: An Open-Science Approach that Combines Human and Machine Intelligence -- 1 Introduction -- 2 Related Work -- 3 Background and Goal -- 3.1 Meta-Analysis -- 3.2 Scaffolding -- 3.3 MACROs -- 4 Two Example Autocoders -- 4.1 Education Level Autocoder -- 4.2 Education Population Autocoder -- 4.3 Human-in-the-loop -- 5 Conclusion -- References -- Results Analysis of the Opinion Survey for Mechanical Engineering Students of a Course Taught in Face-to-Face vs. Online Format -- 1 Introduction -- 2 Methodology -- 2.1 Research Context and Participants -- 2.2 Research Purpose -- 2.3 Data Analysis -- 3 Prediction Model Using Machine Learning Tools -- 3.1 Correlations of Variables -- 3.2 Training and Testing Phase -- 3.3 Results Phase -- 4 Conclusions -- 5 Future Work -- References -- KNIGHT Learning Analytics Architecture for Betterment of Student Education -- 1 Introduction -- 2 Background -- 3 KNIGHT LA Architecture -- 3.1 Users of the System -- 3.2 Learning Materials and Applications -- 3.3 Learning Record Store -- 4 Use Case-Scenario -- 5 Conclusion and Future Work -- References -- An Innovative Model for Teacher Presence or Not in Video for Online Instruction Based on Neural Theory -- 1 Introduction -- 2 Review of the Literature -- 2.1 Online Teaching and Learning -- 2.2 Multimedia Learning Theory -- 2.3 Attention Span -- 2.4 Neuroscience -- 3 The Model for Multimedia Effect -- 4 Case Study.
5 Surveys for Students and Teachers -- 6 Results and Discussion -- 7 Conclusion -- References -- Using Relational Dialectics to Better Understand the Impact of Computer-Mediated Communication from the Perspective of Online Teaching -- 1 Introduction -- 2 Literature Review -- 2.1 Relational Dialectics -- 2.2 Binary Thinking -- 2.3 Computer-Mediated Communication -- 3 Methodology -- 3.1 Research Design -- 3.2 Sample and Data Collection, Analysis -- 4 Findings/Results -- 5 Discussion -- 6 Conclusion -- 7 Future Research Directions and Limitations -- References -- Questionnaire and Empirical Analysis of Major Choice of Business Administration Students in Chinese Universities -- 1 Introduction -- 2 Questionnaire Survey on Students' Choice of Major in Business Administration in Chinese Higher Education Institutions -- 2.1 Design of the Questionnaire -- 2.2 Statistics and Analysis of Survey Results -- 3 Employment Survey Analysis of Business Administration Graduates -- 4 Modeling Analysis of Factors Influencing Students' Choice of Major in Higher Education -- 4.1 Setting Up the Model -- 4.2 Analysis of Data -- 5 Discussion and Recommendations -- 5.1 Discussion and Suggestions for Current Students in Business Administration -- 5.2 Discussion and Recommendations for Business Administration Graduates -- 5.3 Empirical Analysis of Countermeasures and Suggestions -- 6 Conclusion -- References -- Design of Problem Based Learning in Intelligent Management Education -- 1 Introduction -- 2 Literature Review -- 3 Design -- 3.1 Knowledge Modules -- 3.2 PBL Matrix -- 4 Application -- 5 Conclusion -- References -- AI Implications in Satisfying Digital Skills Training Needs Through OER -- 1 Open Education. The Direction -- 1.1 A Review of Open Policies and Declarations -- 1.2 Open Repositories -- 2 OER Ecosystem: LOD4OER. 2.1 Brief Description of LOD4OER. Towards a OER Semantic Interoperability Ecosystem -- 2.2 Serendipity: A Faceted Search Engine Based on Semantic Web Technologies -- 2.3 New Opportunities Based on AI for an OER Ecosystem -- 3 A Case of Application: The STEMSOFT Project -- 3.1 The Project -- 3.2 OER for Soft Skills Development Empowered by Serendipity. -- 4 Conclusions -- References -- Text Analysis and Natural Language Processing for Topics Related to Education -- Multilingual Text Simplification and Its Performance on Social Sciences Coursebooks -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Approaches to Text Simplification -- 2.2 Neural Network Based Approaches to Text Simplification -- 2.3 Cross-Lingual Approaches to Text Simplification -- 2.4 Corpora and Evaluation Metrics for Text Simplification -- 3 Multilingual Text Simplification -- 4 Experiments and Results -- 4.1 Data for Training and Testing -- 4.2 Experiments with Tasks and Artificial Training Data -- 5 User Study with Social Sciences Coursebooks: Our Multilingual Text Simplification vs. ChatGPT -- 6 Conclusion and Future Work -- References -- Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence -- 1 Introduction -- 2 Related Works -- 2.1 Current AI Curriculums -- 2.2 Transdisciplinary AI Education -- 2.3 Project Based Learning in AI -- 2.4 Problem Based Learning in AI -- 3 Implementation of a Wholistic AI Curriculum Neom, Saudi Arabia Curriculum -- 3.1 AI Inquiry Curriculum -- 3.2 Benefits of AI Inquiry Curriculum -- 3.3 Challenges of AI Inquiry Curriculum -- 3.4 Calypso-Based Learning with an AI Robot -- 3.5 Calypso-Based Programming and Problem-Based and Project Based Learning -- 3.6 IB Curriculum and Units of Inquiry -- 4 Conclusion -- References. Classification of Human- and AI-Generated Texts: Investigating Features for ChatGPT -- 1 Introduction -- 2 Related Work -- 2.1 ChatGPT -- 2.2 Classification of Human- and AI-Generated Texts -- 3 Our Human-AI-Generated Text Corpus -- 3.1 Basic AI-Generated Texts -- 3.2 Advanced AI-Generated Texts -- 4 Our Features for the Classification of Human- and AI-Generated Texts -- 4.1 Perplexity-Based Features -- 4.2 Semantic Features -- 4.3 List Lookup Features -- 4.4 Document Features -- 4.5 Error-Based Features -- 4.6 Readability Features -- 4.7 AI Feedback Features -- 4.8 Text Vector Features -- 4.9 Summary of Our Analyzed Features -- 5 Experiments and Results -- 6 Conclusion and Future Work -- References -- Is ChatGPT a Threat to Formative Assessment in College-Level Science? An Analysis of Linguistic and Content-Level Features to Classify Response Types -- 1 Introduction -- 1.1 ChatGPT: Empowering AI's Impact on Society -- 1.2 Opportunities and Challenges of Integrating ChatGPT into Education -- 1.3 Goals and Contributions -- 2 Methodology -- 2.1 The Corpus -- 2.2 Experiment and Analysis -- 2.3 Model Evaluation -- 3 Results -- 3.1 Feature Analysis -- 3.2 Performance Analysis -- 4 Conclusions, Implications, Future Directions -- References -- Design and Evaluation of Educational Information Systems -- The Role of AI Algorithms in Intelligent Learning Systems -- 1 Introduction -- 2 Methodology -- 2.1 Search Strategy and Data Extraction -- 2.2 Quality Assessment and Risk of Bias -- 2.3 Identification -- 2.4 Screening -- 3 Results -- 4 Discussion -- 4.1 RQ1: How Do AI Algorithms Contribute to ILS in Facilitating Learning Outcomes? -- 4.2 RQ2: In What Ways Do AI Algorithms Incorporated in ILS Support Personalized and Adaptive Learning? -- 4.3 RQ3: How to Assess the Effectiveness of AI-Driven ILS? -- 4.4 RQ4: What Are the Gaps Arising from the Review?. 5 Conclusion -- 6 Figures -- References -- Cinderella 1.4 Program: A Potential Benefit of a Virtual Dynamic Geometry System for Lexical Language Learning (the Aspect of Adult Education) -- 1 Introduction -- 1.1 Advantages of a Virtual Dynamic Geometry System for Technical Vocabulary Acquisition -- 2 Methodology -- 2.1 Research Hypotheses -- 2.2 Results and Discussion -- 3 Conclusion -- References -- Effective Learning Objectives Design System with the A.S.K Model in Higher Education -- 1 Introduction -- 2 Literature Review -- 2.1 Learning Objectives in Higher Education -- 2.2 Learning Outcomes -- 2.3 Cloud Computing -- 3 A.S.K Model for Classroom Instruction in Higher Education -- 3.1 Attitude-Skill-Knowledge Instructional Model -- 3.2 Relations among the Three Domains in the A.S.K Model -- 3.3 Backward Design Method -- 4 Cloud-Based A.S.K instructional Design System -- 4.1 Aim of the System -- 4.2 Principles for Designing the System -- 4.3 The Architecture of the System -- 5 Case Study -- 6 Results and Discussion -- 7 Conclusion -- References -- Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education -- 1 Introduction -- 2 Related Work -- 3 Methodology for Preparing the Case Study -- 3.1 Dataset Curation -- 3.2 Definition of the Enrichment Goals -- 3.3 Setup of the Campaign by Using the CrowdHeritage Platform -- 4 Using the Enriched Dataset to Build and Query a Music Knowledge Base -- 5 Results and Evaluation -- 5.1 Campaign Results -- 5.2 Open Annotated Dataset -- 5.3 Evaluation by Participants -- 6 Conclusions and Discussion -- References -- Leveraging Design Thinking, Participatory Design, and Learning Sciences to Innovate Learning Applications: An Applied Example -- 1 Background: Theories and Principles -- 1.1 Design Thinking -- 1.2 Participatory Design -- 1.3 Learning Sciences -- 2 Theoretical Framework. 3 Co-design Methodology/Techniques. |
| Record Nr. | UNINA-9910768437303321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||