Analysis of Open Education Service Quality with the Descriptive-Quantitative Approach.

The concept of Open Education (OE) is based on the philosophy of e-Learning which aims to provide learning environment anywhere, anytime, and for anyone. One of the main issue in the development of OE services is the availability of the quality assurance mechanism. This study proposes a metric for measuring the quality of OE service. Based on extensive literature review about e-Learning service quality guidelines, as well as the observation of existing Open Education services, we formulated Open Education Metric (OEM). OEM consists of 37 indicators which are divided into six criteria: (1) Openness, (2) Benefit, (3) Delivery, (4) Learning, (5) Evaluation, and (6) Support. Evaluation scheme is designed to give a clear guideline in assessing the quality of OE service quantitatively. The evaluation results including score and category indicate the overall quality relative to a set of indicators. Trial of evaluation was conducted using the evaluation system based on OEM to test its performance in evaluating OE service quality in institutions. Three of OE services were evaluated with their scores.

[1]  Marcia J. Simmering,et al.  E-learning: emerging uses, empirical results and future directions , 2003 .

[2]  Badrul H. Khan,et al.  A framework for web-based learning , 2000 .

[3]  Kaye Shelton.  A Review of Paradigms for Evaluating the Quality of Online Education Programs. , 2011 .

[4]  John T. E. Richardson,et al.  Face‐to‐face versus online tutoring support in distance education , 2007 .

[5]  Stephen Marshall,et al.  AN E-LEARNING MATURITY MODEL ? , 2002 .

[6]  Janet C. Moore,et al.  The Sloan Consortium Quality Framework And The Five Pillars , 2005 .

[7]  Gwo-Hshiung Tzeng,et al.  Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL , 2007, Expert Syst. Appl..

[8]  Yong Zhou,et al.  Towards Capability Maturity Model of e-Learning Process , 2012 .

[9]  Jing Chen,et al.  Online course quality maturity model based on evening university and correspondence education(OCQMM) , 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.

[10]  Li Yuan,et al.  Open Educational Resources - opportunities and challenges for higher education , 2008 .

[11]  Phyllis Blumberg,et al.  Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge , 2009 .

[12]  Li Yuan,et al.  MOOCs and open education: Implications for higher education , 2013 .

[13]  Mark C. Paulk,et al.  Capability Maturity Model , 1991 .

[14]  TzengGwo-Hshiung,et al.  Evaluating intertwined effects in e-learning programs , 2007 .

[15]  Stephen Marshall,et al.  Potential Indicators of e-Learning Process Capability , 2003 .

[16]  BETH CHRlSSlS.  Capability maturity model, version 1.1 - IEEE Software , 2009 .