A Framework for Open Assurance of Learning

Title: A Framework for Open Assurance of Learning

Authors: Gokul Bhandari and Maureen Gowing (Odette School of Business, University of Windsor)

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.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

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