一句话:通过人物角色与任务型作品集评估,将过程、态度等纳入软件工程学生研究项目评价。
软件工程专业学生通常在毕业年级完成研究项目,以展示研究能力、成果沟通与领域专长。传统评估多依赖论文或类似成果,忽视过程、态度、项目复杂度和指导支持等成功研究者所需因素。本文报告一种创新评估实践:采用任务导向的作品集评估,并融入学生人物角色、频繁形成性反馈、延迟总结性评分以及对齐标准的成果导向评价。作者还介绍了为应对学生研究项目评估挑战而持续改进任务与标准的过程。经验表明,人物角色有助于制定整体性评分量规,使成绩更有意义,并引导师生关注态度与技能而非仅关注最终产品。
Students enrolled in software engineering degrees are generally required to undertake a research project in their final year through which they demonstrate the ability to conduct research, communicate outcomes, and build in-depth expertise in an area. Assessment in these projects typically involves evaluating the product of their research via a thesis or a similar artifact. However, this misses a range of other factors that go into producing successful software engineers and researchers. Incorporating aspects such as process, attitudes, project complexity, and supervision support into the assessment can provide a more holistic evaluation of the performance likely to better align with the intended learning outcomes. In this paper, we present on our experience of adopting an innovative assessment approach to enhance learning outcomes and research performance in our software engineering research projects. Our approach adopted a task-oriented approach to portfolio assessment that incorporates student personas, frequent formative feedback, delayed summative grading, and standards-aligned outcomes-based assessment. We report upon our continuous improvement journey in adapting tasks and criteria to address the challenges of assessing student research projects. Our lessons learnt demonstrate the value of personas to guide the development of holistic rubrics, giving meaning to grades and focusing staff and student attention on attitudes and skills rather than a product only.
DOI 原文 · arXiv · PDF(开放获取) · DBLP
@inproceedings{abs-2302-05618,
title = {Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report},
author = {Chetan Arora and Laura Tubino and Andrew Cain and Kevin Lee and Vasudha Malhotra},
booktitle = {ICSE},
year = {2023},
doi = {10.1109/icse-seet58685.2023.00025}
}