A Framework for Open Assurance of Learning

G. Bhandari, Maureen Gowing
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引用次数: 2

Abstract

Assurance of Learning (AOL) refers to the outcomes assessment process which involves the systematic collection, review, and use of information about educational programs undertaken for the purpose of improving student learning and development [8]. While emerging trends such as open education, open learning, learning analytics, academic analytics, and big data in education have recently become mainstream, studies regarding the design and development of open source analytics applications for AOL are non-existent. In this paper, we describe an application called AOL Analyzer that we developed for our business school last year to assist in the analysis of AOL results reported by faculty. To the best of our knowledge, this is a first paper to bridge the existing gap in AOL analytics research.
开放学习保障框架
学习保证(Assurance of Learning, AOL)是指为了提高学生的学习和发展,系统地收集、审查和使用教育项目信息的结果评估过程[8]。虽然开放教育、开放学习、学习分析、学术分析和教育中的大数据等新兴趋势最近已成为主流,但有关AOL的开源分析应用程序的设计和开发的研究却不存在。在本文中,我们描述了一个叫做AOL Analyzer的应用程序,它是我们去年为我们的商学院开发的,用于协助分析由教师报告的AOL结果。据我们所知,这是第一篇弥合AOL分析研究中现有差距的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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