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Record Nr. |
UNINA9910841857503321 |
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Autore |
Hong Wenxing |
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Titolo |
Computer Science and Education. Teaching and Curriculum : 18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023, Proceedings, Part II |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , 2024 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (388 pages) |
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Collana |
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Communications in Computer and Information Science Series ; ; v.2024 |
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Altri autori (Persone) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Contents - Part II -- Teaching Methods and Approaches -- Analyzing Children's Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design -- 1 Introduction -- 2 Methodology -- 2.1 Site Location -- 2.2 Data Collection and Research Design -- 2.3 Application of AI Recognition Methods -- 3 Results -- 3.1 Result of Children's Action Recognition -- 3.2 Result of Children's Flow Statistic and Move Tracking -- 4 Conclusion -- References -- A Fast Estimation Network Model Based on Process Compression and an Optimized Parameter Search Algorithm for Q-Learning -- 1 Introduction -- 2 Parameter Optimization Algorithm Based on Fast Estimation Network Model and Improved Q-Learning -- 2.1 Model Training Process Based on Mixed Accuracy -- 3 Experiment and Result Analysis -- 3.1 Introduction and Analysis of Data Sets -- 3.2 Optimization Parameter Search Experiment Based on Improved Q-Learning -- 4 Summary -- References -- Research on Optimization of PTN Based on Bilevel Multi-objective Programming Learning -- 1 Introduction -- 2 Multi-objective Optimization of PTN Network -- 2.1 Model Constraints -- 2.2 MOGWO -- 2.3 PTNMOGWO -- 3 Experimental Design and Evaluation -- 3.1 Experimental Data Set -- 3.2 Experimental Results and Analysis -- 4 Summary of This Chapter -- References -- Practical Teaching Reform of Cybersecurity Courses Incorporating Personalized Recommendations |
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-- 1 Introduction -- 2 Related Work -- 3 Solution Overview -- 4 Student Management Based on LSH Hash Table -- 4.1 Mapping Students to the LSH Hash Table -- 4.2 Reordering of Students -- 4.3 Increase of the Number of Practices -- 5 Partition-Based Matrix Completion -- 5.1 Matrix Completion -- 5.2 Partition-Based Matrix Completion Approach -- 6 Experiment and Effect Analysis -- 7 Conclusion -- References. |
Experiment Teaching Case Design of Computer I/O Channel Virtual Simulation -- 1 Introduction -- 2 Design of Experiment Case -- 2.1 The Purpose of the Experiment -- 2.2 The Content and Task of the Experiment -- 2.3 The Principle of the Experiment -- 2.4 The Process and Requirements of the Experiment -- 3 Teaching Guidance and Evaluation of the Experiment -- 3.1 Teaching Guidance of the Experiment -- 3.2 The Evaluation of the Experiment -- 4 Characteristics of the Experiment -- 4.1 The Experiment Design Is Highly Simulated and Can Service Multi-level Talent Training -- 4.2 The Experiment Design is Highly Exploratory and Can Stimulate Students' Interest in Learning -- 4.3 The Experiment Design is Flexible Enough to Meet the Demand of Cultivating Students' Innovative Ability -- 5 Conclusion -- References -- Four-Step: The Whole-Process of Project Practice Teaching and Its Effectiveness Evaluation Based on Apriori -- 1 Introduction -- 2 The Design of the four-step -- 2.1 The Problems of Applied Universities in China -- 2.2 The Solution Provided by the four-step -- 2.3 Whole-Process Project Practice Teaching -- 2.4 Experiment and Results -- 3 Effectiveness Analysis -- 3.1 Association Rule Mining and Apriori Algorithm -- 3.2 Effectiveness Evaluation Model Based on Apriori Algorithm -- 3.3 Evaluation of Model Experiments and Results -- 4 Conclusion -- References -- Research and Practice on the Reform of Undergraduate Personalized Talent Training in the School of Computer and Information Science -- 1 Introduction -- 2 Construction Objectives and Concepts -- 3 Main Construction Tasks -- 3.1 Personalizing Talent Training Program -- 3.2 Optimizing Talent Training Mode -- 3.3 Improving Student Growth Path -- 3.4 Establishing Student-Centered Consciousness -- 4 Specific Measures -- 4.1 "8+8" Whole Process Education -- 4.2 Classified Culture -- 4.3 "Five Entries". |
4.4 All-Staff and All-Round Education -- 5 Quality Assurance System -- References -- Curriculum Reform -- Curriculum Framework for Integration of Intelligent Computing and Academic Majors -- 1 Introduction -- 2 "Five Integrations" of Integration Course -- 2.1 Organic Integration of Subject Content - Content Integration -- 2.2 The Organic Integration of Teachers in Various Disciplines - The Integration of Teachers -- 2.3 The Organic Integration of Teaching and Learning Subjects - The Integration of Teachers and Students -- 2.4 The Organic Integration of Teaching and Scientific Research - The Integration of Teaching and Scientific Research -- 2.5 The Organic Integration of Universities and the Industry - Integration Inside and Outside the University -- 3 Constructions of the Curriculum Framework for Integration of Intelligent Computing and Professional Areas -- 4 Teaching Practice of "Intelligent Computing Fundamentals" Course -- 4.1 Goals of the Course -- 4.2 Effective Teaching Paths Adopted by the Course -- 5 Validity Analysis -- 5.1 Validation of the Questionnaire -- 5.2 Effectiveness Analysis -- 6 Conclusion -- References -- The Practice of Artificial Intelligence Education for Non-computer Science Majors in Universities -- 1 Introduction -- 2 Reconstructing AI Liberal Courses -- 2.1 Course Goals -- 2.2 Teaching Content -- 2.3 Teaching Platform -- 2.4 Course Resources -- 3 Building Full-Course Online Resources -- 3.1 Use Multimedia |
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to Enhance Theoretical Explanation -- 3.2 Integration of Multiple Platforms for Practice -- 3.3 Theme-Based Seminars to Expand Capabilities -- 4 Team Project-Based Course Practice -- 5 Conclusion -- References -- Exploration and Practice of Big Data Major Construction in Local Universities from the Perspective of New Engineering -- 1 Introduction -- 2 New Engineering Requirements for Big Data Major Construction. |
3 Exploring the Construction Path of Big Data Major from the Perspective of New Engineering -- 3.1 Precise Positioning, Standardized Development of Training Objectives -- 3.2 Construct a Competence-Oriented Curriculum System -- 3.3 Deepen Industry-University Cooperation, Build and Improve Practical Teaching Guarantee System -- 3.4 Innovate the Talent Training Model -- 3.5 Improve the Continuous Improvement Mechanism -- 4 Construction Practice of Big Data Major from the Perspective of New Engineering -- 4.1 Specialty Orientation and Training Objectives -- 4.2 Curriculum System -- 4.3 Comprehensive Professional Reform Measures -- 4.4 Teaching Evaluation and Management -- 5 Conclusion -- References -- Exploration and Analysis of the Training Path for of ``Mass Entrepreneurship and Innovation'' Talents in Law -- 1 Question Raised -- 2 Limitations of Existing Legal Education in China -- 2.1 Non-isotropy: The Existing Curriculum System Is Set at Will -- 2.2 Ability Worries: Lack of Comprehensive Ability of Teaching Teachers -- 2.3 Mechanism Dislocation: Lack of Existing Teaching Quality Evaluation Mechanism -- 2.4 Function Overload: The Existing ``Mass Entrepreneurship and Innovation'' Platform Is Difficult to Effectively Connect with the Existing Education Mode -- 2.5 Diminishing Effect: The ``Entrepreneurship and Innovation'' Education Is Clearly Profit-Oriented -- 3 Optimization and Countermeasures for Cultivating ``Innovative and Entrepreneurial'' Talents of Law Students Under Xi Jinping's Thought on Rule of Law -- 3.1 Step1: The Creation of Contextual Modules -- 3.2 Step 2: Define the Project Tasks -- 3.3 Step 3: Collaborative and Self-directed Learning -- 4 Conclusion -- References -- Design and Implementation of Virtual Reality Experiment Project of Integrated Circuit Routing Algorithm -- 1 Introduction. |
2 Problems Existing in the Practical Teaching of "EDA Technology" -- 2.1 Lack of Layout and Routing Experiments -- 2.2 Difficulties in Operating Commercial Software -- 2.3 Unaffordable Cost of Experiment -- 2.4 Non-intuitive Experimental Results -- 3 Experimental Case Design and Implementation Scheme -- 3.1 Overall Implementation Architecture -- 3.2 Experimental Content Design -- 3.3 Experimental Scene Design -- 3.4 Automatic Assessment and Evaluation System for Experimental Results -- 4 Experiment Case Implementation -- 4.1 The Implementation Process of Experimental Case Teaching -- 4.2 Implementation Effect -- 5 Conclusion -- References -- Reform and Practice of Programming Courses' Construction -- 1 Introduction -- 2 Design of Course Group -- 2.1 The Basic Goal of Course Group Construction -- 2.2 Course Group Framework -- 3 Course Group Construction and Practice -- 3.1 Course Group Design -- 3.2 Practical Teaching Methods and Means -- 3.3 Hierarchical Practice Teaching -- 4 Teaching Reform of Programming Course Group -- 5 Conclusion -- References -- Research on the Path of Building the Innovation and Entrepreneurship Education Ecosystem of Local Universities Based on the Big Data Platform -- 1 Introduction -- 2 Current Situation Analysis -- 3 Problem Analysis -- 4 Countermeasures and Suggestions -- 5 Path and Policy -- 6 Epilogue -- References -- Construct the Knowledge Graph of Information Security Introduction Course to Help Subject Teaching -- 1 Introduction |
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-- 2 Construction of Knowledge Graph of Information Security Introduction Course -- 2.1 Overview of Knowledge Graph -- 2.2 Construction of Knowledge Graph of Introduction to Information Security Course -- 2.3 Storage of Knowledge Graph of Introduction to Information Security -- 2.4 Realize the Web Front Display Interface. |
3 Construction of Knowledge Graph of Information Security Introduction Course. |
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