Authors
1 PhD Candidate Of Educational Administration, University of Urmia, Urmia, Iran
2 Department Of Education, Faculty Of Literature and Humanities, University of Urmia, Urmia, Iran
Abstract
Keywords
Main Subjects
Introduction
The application of Information and Communication Technologies (ICT) in education, such as electronic learning (e-learning), is among the most important factors involved in the scientific and cultural development (1). Ideal e-learning is based on the correct and precise conceptualization of the major responsibilities and goals of institution, nature of students’ demands, and curriculum requirements (2). E-learning is a kind of time and place independent learning using a large set of applicable software and IT-based methods (3).
This active and smart learning fills the educational gap by facilitating distance teaching/learning (4). The factors affecting the e-learning success were first studied by Pap in the United States who provided the foundation for other similar studies (5). In a study, the vital factors involved in e-learning success were classified into seven categories, including teacher characteristics, learner characteristics, IT quality, university support, content quality, participants’ interaction, and application of knowledge management (6).
Truskolaska et al. (2015) demonstrated the Poland University student had a positive attitude toward e-learning and considered it an appealing alternative for conventional methods. However, most of the students expressed their concerns about technical problems that might occur in this type of education and unfulfillment of their expectations (7). In another study conducted in Singapore, human factors, technical competence of trainers and students, students’ and trainers’ attitudes toward online learning, cooperation, and IT infrastructures were reported as the success factors of e-learning (8).
Furthermore, Davoudi Mamghani stated most of the faculty members, authorities, and students believed that the factors associated with e-learning success were facilities like e-learning software, adequate hardware, digital library, enriched telecommunications, and manpower, cultural, leadership, managerial, and economic infrastructures (9). According to Rohayani, the recognition of this kind of education was one of the most important dimensions of achieving a successful e-learning in higher education (10).
Studies have shown that people’s attitudes and skills are the most significant factors in the recognition of e-learning in higher education. Liaw and Huang indicated that the e-learning students’ perceptions of useful educational content and interactive environment of this education affected the their satisfaction with e-learning courses (11). Stricker et al. concluded that team learning led to critical thinking, students’ interaction, improved task and learning quality, and increased learners’ dominance over the course content (12).
Striker et al., investigating e-learning through an efficient learning environment, reported that attitude toward perception, computer knowledge, motivation, learning style, accessible infrastructures, and gender distribution largely affected the successful establishment and implementation of e-learning (13). In a study conducted in Brazil, Testa reported five crucial factors for the success of e-learning programs, including the experience and knowledge of training team, learners’ knowledge and behavioral features, learning style, ICT infrastructures, and unity and strategies of executive organizations (14).
Additionally, Sun et al. examined the factors affecting students’ satisfaction with e-learning. They reported that teachers’ attitude toward e-learning, quality and flexibility of educational content, students’ evaluation of educational content usefulness, and diversity of student assessment methods were influential factors in e-learning (15). Margery evaluated the quality of online educational programs in the USA and identified flexibility, interaction, and cooperation as the major factors in online curriculum development (16).
Like other countries, Iran has been very responsive to the rapid development of technology and its implementation in higher education. Despite the fact that e-learning technology is welcomed
in Iran for its advantages in higher education system, its prerequisites and infrastructures has not been developed yet (16). Samadi et al. utilized a comparative approach to assess the critical success factors for e-learning in 17 countries, including Iran. They proposed learner, teacher, standards, educational policy, infrastructures, management, logistics, financial resources, educational design, and educational rules as critical determinants for e-learning success (2).
With this background in mind, we aimed to validate the factors affecting e-learning success from the perspectives of the faculty members, students, and experts of Virtual School of Tehran University of Medical Sciences, Tehran, Iran, using a Delphi-based method. Furthermore, analytic hierarchy process (AHP) was used to rank these factors in terms of their efficiency in e-learning success.
Methods
The present study is categorized under applied and descriptive surveys in terms of goal and data collection procedure since it aims to rank the key factors affecting the success of e-learning. In addition, regarding the data collection technique, this study was a “mixed methods research” as we applied the qualitative and quantitative methods, respectively.
Evaluation of the available documents and studies related to research topic
After an in-depth review of the available documents and related literature, we obtained the model related to the key success factors for e-learning according to the local conditions of Iran.
Qualitative section: performing Delphi method by experts and specialists for the validation of available factors in research model
Research population in the qualitative section corresponded to a group of 15 experts and specialists in information technology (IT) (i.e., the specialists working in the field of education) working at the Tehran University of Medical Sciences, Tehran, Iran. These participants were selected through the purposive sampling technique since we were purposively looking for the IT experts and specialists who had the highest information about e-learning.
Data collection was carried out using the Delphi questionnaire, which contained 10 success factors for e-learning education, extracted from a model proposed by Bazargan et al. In addition, the reliability of this questionnaire was estimated, rendering a Cronbach’s alpha coefficient of 0.88. On the other hand, the content and structural validities of this instrument were confirmed by the approval of the respective professors and the use of the confirmatory factor analysis, showing a factor load of less than 0.5 for each item.
At the end of this stage, after an in-depth evaluation of the responses and collected data, a paired comparison questionnaire was designed based on the factors obtained from the experts to be used in the second stage of the qualitative section (i.e., Delphi method) and the quantitative part.
Quantitative section: factor ranking from the perspective of faculty members and students
To evaluate the students’ perspective, the subjects were selected from 211 Master’s students studying at the Virtual School of Tehran University of Medical Sciences. Based on the Cochran’s sample size formula, the sample size was calculated as 136 participants, who were selected through the simple random sampling technique.
The quantitative data were collected using the researcher-made paired comparison questionnaire, which was designed based on six success factors for e-learning. After integrating the views of the faculty members and students, consensus was obtained regarding the success factors for e-learning and their ranking from the perspective of the faculty members and students.
Data collection
The first stage: evaluation of the literature and collection of effective success criteria for e-learning
After the evaluation of the literature and comparative assessment of the proposed models regarding the success of e-learning, the model offered by Samadi et al., which was based on the local considerations and requirements of Iran, was selected and used as the research model (6). The framework of this model was obtained using the knowledge and experiences of higher education experts, presenting 10 key factors for the evaluation of the level of e-learning success in the education system of Iran. These factors included learner (i.e., student), teacher (i.e., instructor), educational design, support services, technology infrastructure, education policies, management system, educational rules and regulations, financial sources, and standards.
The second stage: validation of the factors obtained from the first stage
In this section, the Delphi questionnaire containing 10 success key factors for e-learning, extracted from the model proposed by Samadi et al., was administered on 15 specialists and experts in e-learning working at the Tehran University of Medical Sciences (6). In the first phase of Delphi, a consensus of more than 85% was reached on the effectiveness of six factors. The factors with less than 50% consensus were rejected.
In the second stage, the two factors of learner and teacher were integrated. At the end of this phase, the effective success factors for e-learning were validated and confirmed according to the conditions and requirements. In total, six out of the ten proposed factors in the model were validated as key factors for the success of e-learning.
The fourth stage: factors affecting success from the students’ perspective
The paired comparison questionnaires were distributed among the students. After the collection of the questionnaires, the data were analyzed to prioritize the success key factors for e-learning. In addition, the analytical hierarchy process (AHP) technique was applied to rank the success key factors for e-learning using the Expert Choice software.
Results
The demographic characteristics of the subjects are displayed in Table 1.
Table 1. Demographic characteristics of the study population |
||||
|
Gender |
Mean age (years) |
Education level |
|
Male |
Female |
|||
Faculty members |
3 |
3 |
45 |
PhD |
Students |
64 |
72 |
36 |
General practitioner MSc |
Experts and specialists |
9 |
6 |
49 |
PhD |
Validation of factors by experts and specialists
After the implementation of the Delphi method, out of the ten success key factors extracted from the research model, six factors were confirmed to be effective in the success of the virtual courses of the Tehran University of Medical Sciences by the respective experts and specialists. These factors included educational strategies, management, technology infrastructures, support services, learner-teacher, and financial sources.
As indicated in Table 2, the Delphi members had more than 85% consensus over the success factors. On the other hand, the factors with the consensus of less than 50% were rejected. In addition, the integration of “learner and teacher” factors was proposed, which was reassessed in the second round of Delphi, leading to the consensus of the subjects.
Table 2. Validation of the factors affecting the success of distance learning from the perspective of experts and specialists |
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Dimensions |
Confirmed factors (N) |
Rejected factors (N) |
Percentage of consensus |
Result of consensus |
Management |
15 |
0 |
100% |
Component validation |
Educational strategy |
15 |
0 |
100% |
Component validation |
Financial sources |
15 |
0 |
100% |
Component validation |
Learner and teacher |
14 |
1 |
93% |
Component validation |
Support services |
14 |
1 |
93% |
Component validation |
Technology infrastructure |
15 |
0 |
100% |
Component validation |
Standards |
7 |
8 |
47% |
Component rejection |
Rules and regulations |
4 |
11 |
27% |
Component rejection |
Educational design |
3 |
12 |
20% |
Component rejection |
Evaluation of the importance and ranking of effective factors from the faculty members’ perspective
The data analysis was carried out based on the paired comparison questionnaire and AHP technique using the Expert Choice software. The factors of management, learner-teacher, financial sources, technology infrastructure, and support services were regarded to have the highest importance in the success of e-learning, whereas educational policy received the lowest score in this regard.
Ranking of success factors for e-learning from the students’ perspective
According to the results of the paired comparison questionnaire, the students ranked the importance of the factors affecting e-learning as indicated in Table 3. The data were analyzed based on the paired comparison questionnaire and AHP technique using the Expert Choice software.
Table 3. Ranking of success factors for e-learning from the students 'perspective |
||
Rank |
Factors |
Mean rank |
1 |
Management |
3.86 |
2 |
Financial sources |
3.66 |
3 |
Educational strategies |
3.62 |
4 |
Learner-teacher |
3.59 |
5 |
Support services |
3.17 |
6 |
Technology infrastructure |
3.11 |
Integration of obtained calculations and weights
We calculated the geometric mean of the opinions of the faculty members and the higher education students of the Virtual School of the Tehran University of Medical Sciences. Subsequently, these mean values were integrated with the final weights of the factors using the Choice Expert software (Table 4, Diagram 1). The results of the factor prioritization demonstrated that the management system with the relative weight of 0.311 had the highest importance in determining the model for effective e-learning. This factor was followed by educational policy, financial sources, support services, technology infrastructure, and learner-teacher with the relative weights of 0.236, 0.197, 0.124, 0.094, and 0.046, respectively.
Table 4. Integration of the opinions of faculty members and students |
||
Components |
Relative importance |
Priority |
Educational strategies |
0.236 |
2 |
Financial sources |
0.197 |
3 |
Support services |
0.124 |
4 |
Learner-teacher |
0.038 |
6 |
Management |
0.311 |
1 |
Technology infrastructure |
0.094 |
5 |
Diagram 1. Comparison of factors affecting electronic learning from the perspective of faculty members |
Diagram 2. Evaluation of the importance level of each factor |
Discussion and conclusion
According to the local and foreign studies, the modern education method, which is based on the use of new technological tools and lack of presence, has been significantly welcomed by the new generation. This attraction is due to the efficiency of this method in the improvement of educational level, involvement of students in educational activities, and enhancement of the learners’ motivation caused by the elimination of personal limitations (i.e., time and location).
In total, it could be stated that IT has a remarkable ability to implement and affect teaching and learning activities in all higher education institutes. This field of science facilitates the provision
of the facilities for designing new scientific environments, which was not possible in the past. Therefore, many Iranian universities are eager to implement e-learning courses using IT abilities in the form of e-learning.
One of the major goals of this study was to identify the factors affecting e-learning according to the perspective of the faculty members, students, and experts of the Virtual School of the Tehran University of Medical Sciences. Another study objective was to determine the ranking of these factors in terms of their level of effectiveness and significance in the success of e-learning.
The results related to the first priority (i.e., management) in the success of e-learning demonstrated that the promotion of management section is achieved by the improvement of the management ability in the administrative agencies of the organization. Therefore, the recruitment of expert and experienced managers, who are familiar with virtual environment, is a matter of fundamental important. The majority of the researchers have reported the presence of administrative and decision-making agents as the most important factor in improving the effectiveness of e-learning (17).
According to the results, the second important factor identified in the present study was support services, indicating that technical support is a significant factor in the effective implementation of e-learning. These findings are in line with the results obtained by McGarry (2003). Moreover, regular and coherent support services will motivate continuity in education. (9)
In line with a study carried out by MacMillan (2016), the third important factor for success in e-learning was found to be educational strategies. This factor determines the policy and philosophy of an educational course and is important in all planning stages (18). On the other hand, the fourth most important factor was financial sources, which can challenge the successful implementation of e-learning. In this regard, Zehry et al. (2011) concluded that the most important factor was expense. They stated that this type of education provides an opportunity for the exchange of the individuals’ experiences with minimum cost and time (19).
The implementation of e-learning mainly requires computer facilities. In addition, if there is a need for complicated software and programs in these courses, advanced computers must be provided, which demands high expenses. Moreover, the provision of IT facilities for a large number of learners imposes a considerable financial burden on the respective organizations.
Based on the results of the current study, financial source was one of the factors affecting the successful implementation of e-learning.
The fifth most important factor was IT infrastructure, highlighting the importance of further evaluation of information and communication technology in the educational institutes and universities. In accordance with our findings, Stricker et al. (2010) demonstrated that the infrastructures played a significant role in the implementation and establishment of virtual education (12). in a study conducted in Brazil, Testa (2008) reported the technology infrastructure as a crucial factor for the success of e-learning programs (14).
The last factor that was important in the success of e-learning was learner-teacher. This factor was less prioritized, compared to other factors due to the nature of e-learning and the elimination of face-to-face interaction in this education method. Nevertheless, effective e-learning depends on the learning system of the learners and the coordination of the teaching methods with e-learning. Accordingly, some of the researchers have regarded the factor of learner-teacher as one of the most challenging factors for successful e-learning. Based on the results obtained by Liaw and Kheirandish (2013,2014), the interactive e-learning environment had an impact on students’ satisfaction with e-learning courses (8 , 16).