Agile and Student-Centred Teaching of Agile/Scrum Concepts
June 17, 2025 Β· Declared Dead Β· π Procedia Computer Science
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Maria Spichkova
arXiv ID
2506.14369
Category
cs.SE: Software Engineering
Citations
2
Venue
Procedia Computer Science
Last Checked
4 months ago
Abstract
In this paper, we discuss our experience in designing and teaching a course on Software Engineering Project Management, where the focus is on Agile/Scrum development and Requirement Engineering activities. The course has undergone fundamental changes since 2020 to make the teaching approach more student-centred and flexible. As many universities abandoned having face-to-face exams at the end of the semester, authentic assessments now play an even more important role than before. This makes assessment of students' work even more challenging, especially if we are dealing with large cohorts of students. The complexity is not only in dealing with diversity in the student cohorts when elaborating the assessment tasks, but also in being able to provide feedback and marks in a timely and fairly. We report our lessons learned, which might provide useful insights for teaching Agile/Scrum concepts to undergraduate and postgraduate students. We also analyse what course structure might be effective to support a blended learning approach, as well as what could be a reasonable structure of online assessments, to keep them both authentic and scalable for large cohorts of students.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted