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Quality of assessment of prior learning (APL) in university programmes: perceptions of candidates, tutors and assessors

机译:大学课程中在先学习评估的质量:对候选人,导师和评估者的看法

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摘要

Formal diplomas and certificates have been accepted as proof that students may receive exemption for parts of their educational programme. Nowadays, though, it is socially desirable that informal and non-formal learning experiences are also recognised. Assessment of prior learning (APL) addresses this issue. In APL, the candidate's knowledge, skills or competences required in informal and non-formal learning are measured against a standard to determine whether they match the learning objectives. Although APL is frequently used in workplaces and vocational education, it is practised less in universities, and research is lacking in this context. This study aims to evaluate the first APL procedure in an academic computer science programme, and an adjusted APL procedure in an educational science masters programme. This is done from the perspective of the APL candidates, tutors and assessors, using the theoretical framework by Baartman et al. (2006). The computer science participants comprised 23 candidates from a police software company, four tutors and four assessors. From educational science, nine candidates, two tutors and two assessors participated. The results show that the APL procedure in educational science is viewed significantly more positively than that in computer science; further, the computer science assessors differ considerably from the other participants in their perceptions relating to the quality criterion 'cognitive complexity'. Explanations for the difference between the two programmes are discussed in this article and assessor and tutor training highly recommended.
机译:正式的文凭和证书已被接受,以证明学生可能会获得部分教育课程的豁免。但是,如今,社会上也希望承认非正式和非正式的学习经历。先前学习评估(APL)解决了这个问题。在APL中,应根据标准衡量考生在非正式和非正式学习中所需的知识,技能或能力,以确定它们是否符合学习目标。尽管APL经常用于工作场所和职业教育中,但在大学中实践较少,在这种情况下缺乏研究。这项研究旨在评估学术计算机科学课程中的第一个APL程序,以及教育科学硕士课程中的调整后的APL程序。这是根据Baartman等人的理论框架,从APL候选人,导师和评估师的角度完成的。 (2006)。计算机科学的参与者包括来自警察软件公司的23名候选人,4名辅导员和4名评估员。来自教育科学领域的九名候选人,两名导师和两名评估员参加了会议。结果表明,与计算机科学相比,教育科学中的APL程序得到了更为积极的评价。此外,计算机科学评估员在与质量准则“认知复杂性”有关的理解上与其他参与者有很大不同。本文讨论了这两个程序之间的区别,并强烈建议评估者和导师培训。

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