A Framework for Open Assurance of Learning

被引:0
作者
Bhandari, Gokul [1 ]
Gowing, Maureen [2 ]
机构
[1] Univ Windsor, Odette Sch Business, 401 Sunset Ave, Windsor, ON, Canada
[2] Odette Sch Business, 401 Sunset Ave, Windsor, ON, Canada
来源
PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON OPEN COLLABORATION (OPENSYM) | 2016年
关键词
Assurance of Learning; AACSB; Analytics; Open Framework; R; Shiny;
D O I
10.1145/2957792.2957808
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
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页数:4
相关论文
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