Learner-generated podcasts: an authentic and enjoyable assessment for students working in pairs

IF 4.1 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Andy Wakefield, Rebecca K. Pike, Sheila Amici-Dargan
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引用次数: 0

Abstract

Abstract Assessment and feedback are common sources of student dissatisfaction within higher education, and employers have shown dissatisfaction with graduates’ communication skills. Authentic assessment, containing ‘real-world’ context and student collaboration, provides a means to address both issues simultaneously. We discuss how we used authentic assessment within a biological sciences degree programme, replacing an individually written essay coursework assignment with learner-generated podcasts. We outline our implementation strategy in line with existing theory on learner-generated digital media, assessment for learning and self-regulated learning. Quantitative and qualitative analysis of survey data (2020 and 2021) indicate students prefer podcast assignments over traditional essay coursework, perceiving them to be more enjoyable, authentic, allowing for greater creativity, and better for building their confidence as communicators. Podcasting as an assessment may have a positive influence on knowledge retention and promote deep learning too. Our assessment design provides opportunities for community building, formative peer review and enhancing assessment literacy, while also being flexible enough to be used across any discipline of study and/or as an inter-disciplinary assessment.
学习者生成的播客:对结对工作的学生进行真实和愉快的评估
在高等教育中,评估和反馈是学生不满的常见来源,雇主对毕业生的沟通技巧也表现出不满。真实的评估,包含“现实世界”的背景和学生合作,提供了一种同时解决这两个问题的方法。我们讨论了如何在生物科学学位课程中使用真实评估,用学习者生成的播客代替个人撰写的论文课程作业。我们根据现有的关于学习者生成的数字媒体、学习评估和自我调节学习的理论概述了我们的实施策略。对调查数据(2020年和2021年)的定量和定性分析表明,与传统的论文课程相比,学生更喜欢播客作业,认为播客更有趣、更真实,可以发挥更大的创造力,更有助于建立他们作为沟通者的信心。播客作为一种评估方式可能对知识保留有积极的影响,也会促进深度学习。我们的评估设计为社区建设、形成性同行评审和提高评估素养提供了机会,同时也足够灵活,可用于任何学科的学习和/或作为跨学科评估。
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来源期刊
Assessment & Evaluation in Higher Education
Assessment & Evaluation in Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.20
自引率
15.90%
发文量
70
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