Agile Software Engineering Education in the Age of AI (ASEED-AI) Workshop XP 2026

International Workshop on Agile Software Engineering Education in the Age of AI: Rethinking Practices, Pedagogies, and Tools (ASEED-AI)

AI is on the way to reshaping the way we develop, maintain and evolve software products in the future. The rapid advance and adoption of AI-based tools (e.g. code completion assistants, automated test generation, natural language-based requirements analysis) is changing how software is developed dramatically. We might be able to create source code and new products in a much faster way, offering also new opportunities for agile software development. This process is in full swing – and we don’t know yet where it’s leading.

However, this dramatic change poses enormous challenges in teaching agile software development. What competences are needed in the future? What will actual development activities look like? In particular, agile software engineering education faces new opportunities and challenges: Students may lean heavily on AI tools, changing their learning curves, skill sets, and mistakes. Students need to learn classical computer science and all the AI capabilities on top of that. Traditional agile practices (planning, backlog refinement, retrospectives) may be disrupted or augmented by AI.

Assessing student work becomes more complex when AI assists in code generation or design. Ethical, fairness, and human-centered concerns arise: what is the role of human judgment vs. AI? Educators need new pedagogical approaches, curricula, lab practices, and evaluation techniques. This workshop aims to gather educators, researchers, and practitioners interested in rethinking and innovating agile software engineering education in an AI-augmented world.

Target Audience

• University and industry educators teaching agile software engineering
• Researchers in software engineering education and AI
• Practitioners using AI in agile environments
• Curriculum designers and educational technologists

Workshop Format

We plan for an interactive full-day workshop, to capture the various experiences and suggestions, enable interactive exchange, and generate inspiring new ideas.

Participants will discuss, exchange and develop innovative methods and pedagogies for teaching agile principles in an AI-augmented world, address questions of ethics and human judgment, and co-create strategies for integrating AI literacy and tools into agile software engineering curricula. The full-day, highly interactive workshop combines short presentations, experience reports, and collaborative sessions to generate new ideas, teaching cases, and community connections.

Duration: Full-day (6–7 hours)

Call for Papers & Submissions

International Workshop on Agile Software Engineering Education in the Age of AI: Rethinking Practices, Pedagogies, and Tools (ASEED-AI)

Workshop Goals

The workshop aims to explore innovative ideas, methods, and tools for teaching and practicing agile software engineering in an era shaped by artificial intelligence, automation, and data-driven development. The workshop aims to promote discussions on how AI impacts both education and practice in agile software development, and to develop actionable strategies for integrating AI literacy and AI-supported tools into teaching and learning agile software development.

Objectives:

• Identify emerging challenges and opportunities for agile education in the context of AI.
• Exchange best practices and experiences using AI tools (e.g., ChatGPT, Copilot, AI retrospectives, Vibe Coding, Agentic AI) in agile teaching and student projects.
• Discuss how AI affects core agile values, collaboration, and learning outcomes.
• Co-create guidelines, teaching cases, or curricula ideas for integrating AI concepts into agile education.
• Foster a community of educators and researchers interested in the intersection of agile and AI-enhanced software engineering.

Submission Guidelines

There are two submission categories:

• academic papers (regular papers 9 pages; short papers 6 pages)
• short industrial presentations.

Academic papers: We encourage submissions of contributions describing different stages of research, from position papers and work-in-progress to complete research reports, as well as industry experience reports. We welcome both research and industry papers.

Short industry presentations: We welcome industry experiences, challenges, solutions and ideas for topics that would benefit from rigorous research. Presentation suggestions can be submitted in the format of a 2-page paper or max 5 slides describing the main idea, the presenters and their experience in the topic.

ASEED-AI seeks submissions describing novel research, experience reports, as well as emerging ideas. We are interested in studies describing original and unpublished results in the field of education and training of agile software engineering in the age of AI The focus of the workshop is on new promising ideas and therefore work-in-progress reports are welcome to ignite discussion in the workshop. The industrial presentations aim to bring the industry viewpoint by discussing current challenges, solutions and new ideas on the topic.

Submission Details

• All research submissions will undergo peer review.
• Academic papers must adhere to the Springer LNBIP formatting and submission guidelines
• Submissions must be made electronically via EasyChair by the specified deadline
• Accepted submissions will require at least one author to attend the workshop in person. There will not be an option to participate virtually.

Topics of interest

include, but are not limited to

• Teaching agile methods when AI assists in coding, testing, or planning.
• The role of AI in agile events, retrospectives, and backlog refinement.
• AI-supported assessment and feedback in agile project courses.
• How AI changes team dynamics and roles in student projects.
• Ethical and human-centered perspectives on AI in agile teams.
• Case studies of AI-integrated agile education.
• Using AI tools to simulate stakeholders, product owners, or customers.
• Preparing students for AI-driven workplaces in software development.

Expected Outcomes

A collection of ideas and teaching practices for agile software engineering education with AI. A joint position paper or summary report (potentially submitted to a conference or journal). A network or special interest group for ongoing collaboration.

Post-Workshop Outcomes

Accepted papers and a comprehensive summary of the workshop’s outcomes will be published in the XP2026 Springer LNBIP Open Access post-conference proceedings (tentatively released in Fall 2026).

While short presentations will not appear in the proceedings, their key insights will be captured in the official workshop summary.

Organisers

Martin Kropp, University of Applied Sciences and Arts Northwestern Switzerland / School of Computer Science, martin.kropp@fhnw.ch

Sibylle Peter, University of Applied Sciences and Arts Northwestern Switzerland / School of Computer Science, sibylle.peter@fhnw.ch