Work

Calibrated Peer Reviews in Requirements Engineering Instruction: Application and Experiences

Year: 2022

Type: conference-paper

Abstract: Instructing Requirements Engineering (RE) is a challenging task due to the absence of single absolute and correct solutions computer science students so often strive for. Instead, there is often a variety of compromise solutions for each RE problem. Therefore, it is essential that aspiring Software Engineers are exposed to as many solution alternatives as possible to experience the implications of RE decisions. To facilitate this, we propose a learning-by-multiple-examples process, in which we make use of a calibrated peer review grading model for assignments. Paired with a think-pair-share model of semester-long, industry-realistic, project-based low-stakes milestones, we were able to generate a rich collaborative learning atmosphere. In this paper, we report the course design and experiences from the application of calibrated peer reviews in an undergraduate RE course. Qualitative and quantitative application results show that calibrated peer reviews significantly improve students’ learning outcomes.

Source: Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

DOI: 10.24251/hicss.2022.106

Authors: Bastian Tenbergen, Marian Daun

Institutions: State University of New York at Oswego, University of Duisburg-Essen

Language: English

Topic: Software Engineering Techniques and Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4205296905

FWCI: 0.934

Cites: 32

Cited by: 5

Related to: 10