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Titolo: |
Computer Science and Educational Informatization . Part I : 5th International Conference, CSEI 2023, Kunming, China, August 11-13, 2023, Revised Selected Papers / / Jianhou Gan [and five others], editors
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Pubblicazione: | Singapore : , : Springer, , [2024] |
©2024 | |
Edizione: | First edition. |
Descrizione fisica: | 1 online resource (461 pages) |
Disciplina: | 004.071 |
Soggetto topico: | Computer science - Study and teaching |
Educational technology | |
Persona (resp. second.): | GanJianhou |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Educational Information Science and Technology -- An OS Kernel Based on RISC-V Architecture -- 1 Introduction -- 2 Overall Design -- 3 Process Management -- 3.1 Task Control Block -- 3.2 Hash Tables -- 3.3 Process States -- 4 Signal Management -- 5 Memory Management -- 5.1 Buddy System Allocator -- 5.2 Memory Address Space -- 6 File System -- 6.1 FAT32 File System -- 6.2 Common File Model -- 7 Conclusion -- References -- Research on the Cultivation of Media Literacy Among Adolescents from the Perspective of Smart Education -- 1 Introduction -- 2 Media Literacy Cultivation and Smart Education -- 2.1 Media Literacy Cultivation Relies on Social Media -- 2.2 Social Media is Gradually Being Applied in the Field of Education -- 2.3 The Necessity of Cultivating Media Literacy Among Adolescents -- 2.4 Smart Education and Media Literacy Cultivation Complement Each Other -- 3 The Current Situation and Problems of Social Media Use Among Adolescents -- 3.1 Indulge in the Virtual Online World and Ignore Reality -- 3.2 Frequent Network Security Incidents and Susceptibility to Fraud -- 3.3 Massive Information is Complex and Difficult to Filter -- 3.4 Preferences Can Easily Become Information Cocoons and Self-imposed Closures -- 4 Enlightenment from the Cultivation of Media Literacy Among Adolescents from the Perspective of Smart Education -- 4.1 Smart Education Environment Construction Needs to Be Closely Related to the Real World -- 4.2 Smart Education Technology Needs to Ensure Privacy and Security -- 4.3 Smart Education Needs Personalized Recommended Learning Resources -- 4.4 Smart Education Needs to Focus on Collaborative Learning and Teaching Model Innovation -- 5 Conclusion -- References -- ChatGPT Empowers Smart Education: Potential, Challenges and Prospects -- 1 Introduction. |
2 ChatGPT and Smart Education -- 2.1 Introduction of the ChatGPT -- 2.2 Features of ChatGPT -- 2.3 Research on ChatGPT in the Chinese Educational Community -- 3 Potential of ChatGPT in the Field of Smart Education -- 3.1 Intelligent Learning Assistant -- 3.2 Set Personalized Learning Solutions -- 3.3 Intelligent Generation and Recommendation of Educational Content -- 3.4 Conduct Intelligent Q& -- A -- 4 Challenges of ChatGPT Development for Smart Education -- 4.1 Challenges for Teachers' Teaching -- 4.2 Challenges to Student Learning -- 4.3 Challenges to Education Ecology -- 5 Prospect of ChatGPT-Enabled Smart Education -- 5.1 ChatGPT Empowering Smart Education Practice Model -- 5.2 Smarter Ways for Students to Learn -- 5.3 Teachers' Teaching Ushered in New Changes -- 6 Conclusion -- References -- The Impact of Peer Feedback on Student Learning Effectiveness: A Meta-analysis Based on 39 Experimental or Quasiexperimental Studies -- 1 Introduction -- 2 Methodology -- 2.1 Research Methods and Tools -- 2.2 Research Process -- 3 Results -- 3.1 Publication Bias and Heterogeneity Tests -- 3.2 The Overall Impact of Peer Feedback on Student Learning Outcomes -- 3.3 The Effects of Different Moderating Variables of Peer Feedback on Student Learning Effectiveness -- 4 Conclusion -- 4.1 Peer Feedback Has a Positive Impact on Student Learning Outcomes -- 4.2 Different Moderating Variables of Peer Feedback Have Positive Effects on Student Learning Outcomes -- References -- A Multilabel Classification Method for Chinese Book Subjects Based on the Knowledge Fusion Model ERNIE-RCNN -- 1 Introduction -- 2 Related Work -- 2.1 Book Classification -- 2.2 Deep Neural Network -- 3 Data Sets and Models -- 3.1 Construction of a Multilabel Data Set for Chinese Book Subjects at the First Level -- 3.2 ERNIE-RCNN Model -- 4 Experiments and Results -- 4.1 Experimental Data Set. | |
4.2 Model Loss Function -- 4.3 Model Evaluation Index -- 4.4 Comparative Experiment -- 4.5 Experimental Results -- 5 Conclusion -- References -- Chinese Book Information Extraction Based on Bert and Rule Matching -- 1 Introduction -- 2 Model Design and Methodology -- 2.1 Data Annotation -- 2.2 BERT-CRF Based Entity Extraction Model -- 3 Experiments and Results -- 3.1 Data Acquisition and Labelling -- 3.2 Experimental Parameters and Evaluation Indexes -- 3.3 Experimental Effects and Analysis -- 4 Conclusion -- References -- Research on flow Game Educational Game Design Framework to Promote flow Experience - A Case Study of "The Mystery of Binary Principle" -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Flow Experience and Flow Theory -- 2.2 Gamified Learning Experience -- 3 Build the Flow Game Framework -- 3.1 Context-Based Cognitive Experience -- 3.2 Collaboration-Based Social Experience -- 3.3 Motivation-Based Subjective Experience -- 3.4 Principles of Educational Game Design Based on the Flow Game Framework -- 4 Educational Game Design Based on the Flow Game Framework -- 5 Key Technologies -- 6 Conclusion -- References -- Construction and Research on Learning State Analysis in Classroom Teaching -- 1 Introduction -- 2 Simplified Mathematical Model of the Brain -- 2.1 The Magical Brain -- 2.2 A Simplified Math Model of the Brain for Students' Classroom Learning -- 3 Main Messages in Class and Their Descriptive Signals -- 3.1 Teacher Teaching -- 3.2 Incidental Information -- 3.3 Interfere with Occasional Information -- 3.4 Prior Knowledge Information -- 3.5 Analysis of Students Sleeping and Lack of Con-Centration in Class -- 3.6 Mental Fatigue -- 4 The State of the Brain Receiving Knowledge in the Classroom -- 5 Conclusion -- References. | |
On the Teaching Innovation Mode of "One Center, Two Closed Loops and Three Drives" from the Perspective of Curriculum Ideology and Politics -- 1 Introduction -- 2 The Dilemma in Computer Subject Teaching -- 3 Teaching Innovation Mode of "One Central Loop, Two Closed Loop and Three Drives" -- 4 Innovative Practice of the "Data Structure" Course -- 5 Conclusion -- References -- A Model for Dividing Comment Users in Weibo Hot Topic Under Entity Extraction and Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Entity Extraction Research in Social Media -- 2.2 Sentiment Analysis Research in Social Media -- 2.3 Research on Weibo User Grouping -- 3 Research Approach -- 3.1 Data Preprocessing -- 3.2 Word Vector Model Training -- 3.3 Entity Extraction and Clustering -- 3.4 Sentiment Analysis -- 3.5 Grouping and Model Evaluation -- 4 Experimental Process -- 4.1 Data Preprocessing -- 4.2 Word Vector Model Training -- 4.3 Entity Extraction and Clustering -- 4.4 Sentiment Analysis -- 4.5 Grouping and Model Evaluation -- 5 Conclusion -- References -- A Summary Research of the Current Status, Hot Spots and Trends in STEM Education -- 1 Introduction -- 2 Research Data and Methodology -- 2.1 Data Sources -- 2.2 Research Tools and Methods -- 3 Analysis of the Current State of Research -- 3.1 Analysis of the Current Status of Annual STEM Education Publication Volume -- 3.2 Analysis of the Characteristics of High-Impact Authors -- 4 Analysis of STEM Education Research Hotspots -- 4.1 Research on the Application of Information Technology to Broaden the Sources and Design Forms of STEM Courses -- 4.2 Research on the Adaptability of STEM Teachers to Educational Technology Reforms -- 4.3 Research on the Mutual Learning of STEM Education and Maker Education Under the Background of "Internet+". | |
4.4 Research on the Transition from STEM Education to STEAM Education in the Era of Educational Informatization -- 5 Analysis of STEM Education Research Trends and Development Suggestions -- 5.1 Trends in STEM Education Research -- 5.2 Recommendations for the Development of STEM Education -- References -- Research on the Current Situation and Enhancement Strategies of Information Technology Teaching Ability of Teachers in Rural Teaching Points -- 1 Introduction -- 2 Research Design -- 2.1 Objectives and Data Sources -- 2.2 Distribution of Questionnaires and Reliability Testing -- 3 Analysis of The Teaching Ability of Teachers Between Urban Center Schools and Rural Teaching Points in Xian An District -- 3.1 Analysis of Differences in Teacher Basic Information -- 3.2 Analysis of Differences in Teacher Development Environment -- 4 Analysis of Problems and Causes in the Development of Teaching Ability of Teachers in Rural Teaching Points -- 4.1 School's Efforts in Information Technology Have Achieved Some Positive Results, but there is Still Room for Improvement -- 4.2 The Issues of Low Academic Qualifications and Professional Mismatch Among Teachers are Particularly Prominent -- 4.3 The Imperfect Teacher Evaluation System and the Lack of Incentive Mechanisms is Important Problems for Teachers' Teaching Ability Improvement in the Context of Information Technology -- 4.4 Teachers at Teaching Sites Have a Strong Identification with IT Teaching, although they Lack Initiative and Continuity in Its Implementation -- 4.5 Teachers at Teaching Sites Use Outdated Teaching Models and Have a Low Level of Integration Between Subject Teaching and IT -- 4.6 Inadequate Access to Teachers' Professional Development Has Led to Poor Results in their Training. | |
5 Strategies and Suggestions for Improving the Information-Based Teaching Ability of Teachers in Rural Teaching Sites. | |
Sommario/riassunto: | These two volumes constitute the revised selected papers of the 5th International Conference, CSEI 2023, held in Kunming, China, during August 11–13, 2023. The 76 full papers and the 21 short papers included in this volume were carefully reviewed and selected from 297 submissions. They focus on computer science, education informatization and engineering education, innovative application for the deeper integration of education practice and information technology, educational informatization and big data for education. |
Titolo autorizzato: | Computer Science and Educational Informatization ![]() |
ISBN: | 981-9994-99-3 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910799213603321 |
Lo trovi qui: | Univ. Federico II |
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