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Computer Science and Education. AI Shaping Education

19th International Conference, ICCSE 2025, Osaka & Fukui, Japan, August 19–24, 2025, Proceedings, Part II

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This two-volume set constitutes the proceedings of the 19th International Conference on Computer Science and Education, ICCSE 2025, held in Osaka & Fukui, Japan, during August 19–24, 2025.

The 82 full papers and 2 short papers presented were thoroughly reviewed and selected from the 196 submissions. 

They were focused on the following topical sections:

Part I : AI Technology Frontiers-Computer Science and Data Science; Artificial Intelligence and Machine Learning and Natural Language Processing and Text Analytics

Part II : AI Shaping Education-AI Applications in Education and Teaching Models and Educational Reform.

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Inhoudsopgave

.- AI Applications in Education.

.- Towards Next-Generation Computer Network Education: AI-Driven Reform.

.- Intelligent Teaching Assistant System of Computer Systems Course Based on Large Language Model.

.- Integration of Computational Thinking and Artificial Intelligence in General Education: A Case Study of "Introduction to Computing and Artificial Intelligence" at Hunan University.

.- Construction and Practice of a Distinctive Science Popularization and Education Base for Artificial Intelligence and Future Transportation Technology—Taking Beijing Jiaotong University as an Example.

.- Design and Practice of Railway Track Visual Detection Science Popularization Teaching AIDS for Youngsters.

.- Paths and Strategies for reshaping the Teaching Process of Software Engineering Courses under the background of AI.

.- AI-Enhanced Production-Oriented Approach for Feedback and Assessment in EFL Writing.

.- Large Language Model Helps the Teaching Reform of Programming.

.- AI-assisted discrete mathematics teaching platform based on multimodal learning resources.

.- GPE-DKT: An Enhanced Deep Knowledge Tracing Model Integrating Generalized Training and Personalized Fine-Tuning for Learning Assessment.

.- Research on the Growth Path of Network Practical Capacity Based on Tridimensional Pedagogical Model.

.- Design and development of AIGC-based intelligent teaching assistance system.

.- Constructing a Transportation-Oriented Artificial Intelli-gence Curriculum System: A Core Competency Perspec-tive.

.- Cultivating Four-Dimensional Core Competencies of Undergraduate AI Talents under the Emerging Engineering Education Framework.

.- The Design and Development of the AI Interviewer System.

.- A Human-AI Collaborative Strategy for Project-Based Learning Using Large Language Models.

.- Research on the Practice of a Three-Dimensional Teaching Innovation System Empowered by AI in the Java Programming Course.

.- An Agent-Driven Programming Learning Support System Based on Proactive Insight Agent.

.- Practice Teaching Reform of Software Engineering Specialty under the background of "AI+New Engineering".

.- On the Design of AI Teaching Assistants for Algorithm Courses with Integrated Teaching, Learning, Assessment and Practice.

.- A Unified Digital Twin Platform for the Experiment Education of "The 101 Plans" Hardware Courses.

.- Automatic Coding Application and Practical Research on Classroom Dialogue.

.- Exploration and Practice of Aesthetic Education in College Computer Courses from the Perspective of AI.

.- High-speed Reading Aloud as a Pedagogical Strategy for Enhancing Cognitive and Expressive Language Skills in Non-Kanji Background Learners.

.- Teaching Models and Educational Reform.

.- GAI-Empowered BOPPPS Teaching Model and Teaching Practice in Classroom Teaching Scenarios.

.- A Study on Teaching Models for Embedded Systems Courses Under the Guidance of Intelligent Educational Robots.

.- Cultivating Computational and Mathematical Thinking by Solving Programming Contest Problems.

.- Construction and optimization path of digital literacy index system for securities practitioners.

.- Innovation and Practice of the Full-process Management Framework for Graduate Education.

.- Exploring an Intelligent and Innovative Programming Teaching Model Based on Agent Programming Paradigm.

.- A Knowledge Graph-Based Study on the "Four-Step" Model for Practice-Oriented Teaching.

.- Computational Thinking Curriculum Design: A Triadic Integration of Listening, Teaching, and Practicing.

.- Interesting Teaching of Algorithm Courses Supported by Syllabus, Textbooks and Cases.

.- Research on AI-Driven Hierarchical Teaching Mode: A Case Study of Database Principles Course.

.- An Innovative Models for AI-Oriented Information Security Practical Capabilities Development.

.- Data-Driven I^3 Framework: Modeling and Visualization for Applied Higher Education.

.- Reflections on the Construction of Digital Courses for Older Adults Education.

.- Logical Construction and Practical Design of the BOPPPS Teaching Model Based on the "Four Principles and Three Methods" Concept: A Case Study of "Java Framework Technology".

.- Analysis and Thinking about the Development Situation of HIS Course in Colleges of Traditional Chinese Medicine in China.

.- Experimental Platform for Structural Health Monitoring in IoT Engineering.

.- The Implementation of Teaching Supervision Work in a Secondary College—Takingthe School of Computer and Information Science of Anhui Polytechnic University as an Example.

.- Construction and Practice of Digital Literacy Teaching Quality Improvement Model with Double Helix Structure.

.- Practice Teaching Reform of Digital Circuit and Logic Design Course Guided by Hardware Thinking.

.- Teaching Reform of Computer Curriculum System for Cultivating Students' Computer System Ability.

.- Hybrid Online-offline Course Construction on "Compiler Principles".

.- Collaborative Construction of Computational Thinking and Digital Thinking Empowered by Programming Agents from the Perspective of "Integrating Morality and Skills" — A Case Study of Judicial Police Colleges.

.- Toward System- and Theory-Oriented Talent Cultivation in Computing.

.- Exploration of Data Science Course Teaching Based on the RAP Model.

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