Computer Science and Education in Computer Science

21st EAI International Conference, CSECS 2025, Bratislava, Slovak Republic, July 1-3, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-33122-9
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 384 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 604 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the refereed proceedings of the 21st EAI International Conference on Computer Science and Education in Computer Science, CSECS 2025, held in Bratislava, Slovak Republic, during July 1–3, 2025.

The 18 full papers and 7 short papers included in this book were carefully reviewed and selected from 104 submissions. They are organized into the following topcial sections: Education in Computer Science; Computer Science Technologies; Computer Science Implementation in Medicine and Computer Science Implementation in Industry.

Zielgruppe

Research

Autoren/Hrsg.

Zlateva, Tanya

Tuparov, Georgi

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware

Inhaltsverzeichnis

.- Education in Computer Science .

.- AI-Powered Storytelling and Game-Based Learning: A Framework for Digital Competence in ICT Education.

.- Block-Based Learning: A Gamified Simulator for GPU Programming Education.

.- Oratio Homomorphico: Creating a Lecture for Homomorphic Encryption by applying Design-Based Research.

.- Linear Optimal Test Design Under D-Scoring.

.- Value-Added Assessment for AI-Assisted Assignments.

.- Comparative Study: Evaluating the Performances of OpenAI’s GPT Models and Google’s Gemini Models in RAG Framework.

.- The Tree of Thingies: An Interactive Approach to Taxonomy-based Learning in Software Engineering.

.- Reimagining Business Analytics Laboratories for Reproducibility.

.- Financial Literacy – Generative AI-Powered Learning.

.- Computer Science Technologies .

.- AI-Driven Reverse Engineering Approach for Semantic Analysis of Applications with Multilayer Architecture Style.

.- Theoretical settings for the software engineering process’s complexity and the software quality.

.- Comparative Analysis of Popular Deep Learning Libraries: TensorFlow, PyTorch, and Keras.

.- Comparative Forecasting of Sustainability Pathways: Deep Learning Architectures for Emerging and Advanced Economies.

.- DNA-like Genetic Algorithm Encoding.

.- Computer Science Implementation in Medicine .

.- Fine tuning of small LLM for medical data extraction.

.- Transforming Patient Recruitment and Retention in Clinical Trials with Artificial Intelligence: A Review and Comparative Study.

.- AI-Driven Protein Prediction in Healthcare and Drug Discovery: AlphaFold Revolutionizing Structural Biology.

.- SwimScan: An Intelligent Attendance System for Swimmers Powered by Face Recognition.

.- Optimizing Hospital Ward Load through Data-Driven Approaches.

.- Computer Science Implementation in Industry .

.- Applying Feature Extraction from Deep Learning Models for Vibration Analysis.

.- Analysis And Detection of False-Negative Injection Attacks in IIoT Environments.

.- Server Room Cooling Optimization Techniques.

.- Extending the Functionalities of a Simulation Model in NetLogo to Adapt to the Architecture of Telecommunication Systems with Drones.

.- Generating photorealistic 360-degree-panoramic images using AI.

.- Enhancing Robotic Simulations in Webots Using AI-Driven Decision Making.