By increasing the number of university students and limited funds allocated to universities, maintaining the efficiency of universities resources is necessary. Data envelopment analysis (DEA) method is one of the most widely used methods to evaluate efficiency of universities.
→What this article adds:To evaluate efficiency via DEA method, selecting outputs and inputs plays an important role. Results of this study determine most inputs and outputs that can be used to evaluate the efficiency of universities of medical sciences.
Ethical codes and guidelines for publication had already been developed and approved by the Ministry of Health and Medical Education.
→What this article adds:A set of ethical codes specific for e-contents, on which experts of the field agreed, was devised regarding copyright issues, elearning context, and target groups' needs.
Partnership is one of the mechanisms of scientific development, and scientific collaboration or coauthorship is considered a key element in the progress of science. This study is a survey with a scientometric approach focusing on the field of e-learning products over 10 years. In an Advanced Search of the Web of Science, the following search formula was used: TS=("m-learning" OR "mlearning" OR "mobile learning" OR "online learning" OR "virtual learning" OR "distance learning" OR "electronic learning"). The study was limited to [2005][2006][2007][2008][2009][2010][2011][2012][2013][2014], and the document type was limited to paper. A total of 4292 documents were found, to which 12362 authors contributed. The articles were evaluated individually and their information was entered into Microsoft Office Excel 2007 for analysis using the collaborative coefficient formula. In the Computers and Education journal, articles with two authors are the most frequent. The United States, with the highest production of articles in the field of e-learning, tends to produce articles with two authors. In 2014, the most productive year, articles with three authors were more frequent. The highest collaborative coefficient is in 2005 and 2014. Our findings show that despite the need for research activities as a team, the authors in the field of e-learning tend to publish their papers alone or in a team of two.
Massive Open Online Courses (MOOCs) is a new phenomenon in online learning which are held by higher education institutions and universities. MOOCs is larger than normal classes and it is free as well. The present study aims to specify the authors' structure of co-authorship and the required indicators in analyzing co-authorship, co-authorship network of countries, organizations and subject areas in MOOCs. All productions regarding scientific areas of MOOCs were extracted from the Web of Science from the beginning till 2016. There are 2195 extracted documents that were saved as txt and isi formats. Co-authorship drawing networks were prepared by website software CiteSpace version 5.1.R8 SE and Gephi version 0.9.2. MOOCs co-authorship network is regarded as spare that means the number of ties is less than nodes. This indicates that authors in this area have fewer tendencies for scientific relations. European countries play the main role in this area and their co-authorship is considerable. Harvard University has considerable co-authorship in this domain. According to the results of this study, MOOCs' network suffers from the lack of collaboration.
Student engagement has an important role in academic achievement in all learning contexts, including e-learning environments. The extent of monitoring and promoting student engagement in e-learning affects the quality of education and is a determining factor for ensuring student’s success. Log data of students’ activities recorded in a learning management system (LMS) can be used to measure their level of engagement in the online teaching–learning process. No previous studies have been found stating a consistent and systematically raised list of LMS-based student engagement indicators, so this systematized review aimed to fulfill this gap. The authors performed an advanced search in the PubMed, Ovid, Google Scholar, Scopus, Web of Science, ProQuest, Emerald, and ERIC databases to retrieve relevant original peer-reviewed articles published until the end of June 2021. Reviewing the 32 included articles resulted in 27 indicators that were categorized into three themes and six categories as follows: (a) log-in and usage (referring to LMS, access to course material), (b) student performance (assignments, assessments), and (c) communication (messaging, forum participation). Among the categories, access to course material and messaging were the most and the least mentioned, respectively.
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