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Buch, Englisch, 478 Seiten, Format (B × H): 155 mm x 235 mm
38th International Conference, CSEE&T 2026, Florence, Italy, July 20–22, 2026, Proceedings, Part I
Buch, Englisch, 478 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-41176-1
Verlag: Springer
The two-volume set LNCS 16797 + 16798 constitutes the refereed proceedings of the 38th International Conference on Software Engineering Education and Training, CSEE&T 2026, held in Florence, Italy, during July 20–22, 2026.
The 26 full papers and 9 short papers included in the proceedings were carefully reviewed and selected from 95 submissions to the Research Track. In addition, the proceedings contain 19 papers from the Industry/Experience Report Track and 5 poster papers.
The papers were organized in topical sections as follows:
Part I: AI-Enhanced Learning, Tutoring, and Feedback; Human-AI Collaboration and AI Impact in Education; Models and Interventions for Developing Software Engineering Competencies; Assessment, Analytics, and Repository-Based Learning; Student Experience, Inclusion, and Engagement;
Part II: Teamwork, Project-Based Learning, and Software Engineering Practice; Programming Education, Debugging, and Learning Tools; Software Engineering Education and Professional Practice; AI in Software Engineering Education; Project-Based and Experiential Learning; Academy for Software Engineering Education and Training; Poster Track.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- AI-Enhanced Learning, Tutoring, and Feedback.
.- Exploring the Use of Generative AI Reading Scaffold in Software Engineering Education.
.- CAPRA: Scaling Feedback on Software Architecture Deliverables with a Multi-Agent LLM System.
.- Competence-Aware Retrieval-Augmented Generation for AI-Driven Tutoring in Software Engineering Education.
.- Integrating AI into Requirements Quality Learning in Software Engineering Education: A TPACK-Guided Empirical Study.
.- Evaluating the Usefulness of Large Language Models in Learning Agile Coaching.
.- LLM-Generated Process Feedback for Students’ Short-Answer Responses in Software Engineering Education.
.- Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course.
.- Hybrid Intelligent Tutoring System for Programming Exercises in Control Engineering Courses.
.- Human-AI Collaboration and AI Impact in Education.
.- Mission SPACE: A Pilot Study of a Productivity Diagnostic Tool in Software Engineering Education.
.- Multi-Semester Analysis of AI Error Feedback in Introductory Programming: Effectiveness, Error Types, and Longitudinal Patterns.
.- The Impact of Generative AI on Students’ Career Perceptions in Software Engineering.
.- Academic Integrity and Emotional Responses to Inappropriate LLM Use in Software Engineering Education.
.- Construction and Practice of Human-AI Collaboration Competence in Software Engineering Teaching in the Era of Large Models.
.- Human-AI Grading Agreement in Computing Education: A Question-Level Reliability and Calibration Study.
.- Models and Interventions for Developing Software Engineering Competencies.
.- Exploring Interventions for Student Project Planning Action Formulation.
.- Teaching Requirements Engineering for AI-Based Systems: A Structured Educational Approach.
.- A Formal Mastery Model for Competency-Based Software Engineering Education.
.- Exploring Student Perceptions of the Code Style Model in an Introductory Computer Science Course.
.- Assessment, Analytics, and Repository-Based Learning.
.- Reconciling DORA Metrics for Educational Projects on GitHub.
.- What Makes A Good Commit? A Delphi Study.
.- Research Computing Exemplars in Action for Research Software Engineering Practices.
.- Storyline-Based Visualization of Software Repository Evolution for Transparent Student Project Assessment.
.- Teaching OSS Contribution Through a GitHub Bot.
.- Student Experience, Inclusion, and Engagement.
.- To Mars and Back: Experiences from Running a Space-Themed Hacking Event for Students.
.- Humor in Software Testing Education.
.- A Critical Discourse Analysis of Gender Representation in Software Engineering Education Videos on YouTube.
