Emerging educational technologies
Z. Khorang; R. Esfanjari Kenari; Z. Amiri
Abstract
Background and Objectives: The digital divide, like other social divides, forms a kind of social inequality. This form of social divide is the gap in access to digital tools and digital skills. Inequalities in access to digital tools and knowledge and skills can increase social and educational inequalities ...
Read More
Background and Objectives: The digital divide, like other social divides, forms a kind of social inequality. This form of social divide is the gap in access to digital tools and digital skills. Inequalities in access to digital tools and knowledge and skills can increase social and educational inequalities by transferring students from school to the labor market, and also affect the rate of migration from rural to urban areas. As schools resume education and restrictions are lifted, understanding how developing digital skills during the Covid-19 pandemic may exacerbate social and educational inequalities for some students is becoming more important. Because students in the same classrooms may have different learning. In fact, the extent to which citizens benefit from digital and media tools determines their position and place in the society and the spatial structure of the village and city. Therefore, the main goal of this research was to investigate the digital divide of virtual education of students in Alborz province during the Covid-19 pandemic.Methods: The current research was practical in terms of purpose and descriptive-analytical research in terms of the nature and method and was a documentary-field study in terms of data collection. The statistical population of the present study included the students of the central part of Karaj city in 1400, a questionnaire was used to collect the necessary information, the required data was obtained by completing 196 questionnaires and using the stratified sampling method. In the current study, the digital divide was measured with four levels of physical access, skill access, how to use computers and the Internet, and the level of motivational access. Kolmogorov-Smirnov and Shapiro-Wilk tests were used to check the normality of data distribution, and non-parametric Kruskal-Wallis and Mann-Whitney tests were used to check the mean comparisons. The studied sample included government schools, private schools, gifted students' schools and board of trustees.Findings: The results showed that there was a significant difference among students in terms of access to virtual learning opportunities during the covid-19 pandemic. Rural students compared to urban students had a higher gap in all four levels of physical access, skill, usage and motivation. Also, according to the findings, there was a significant statistical relationship between the geography of the place of residence and the challenges of online learning in the four levels of access mentioned. It was also observed that students who study in government schools have a significantly higher digital divide than the students who study in other schools. The results showed that the level of parents' education has a statistically significant effect on the digital gap of students, and female students have a smaller digital divide compared to male students. Conclusion: According to the results of this study, it is suggested that the current and future political efforts should be made with the aim of supporting rural students with disadvantaged social and economic backgrounds so that they not only physically access the Internet and other digital tools, but also acquire the necessary skills to learn and use the Internet. These solutions can be a tool to reduce social inequalities in education in different geographical areas. The digital divide can weaken the social wealth and even erode it. If it is not resolved or at least not reduced, it may have harmful economic, cultural, social and political effects for the rural society. Therefore, it is suggested that by developing the infrastructure and increasing the level of digital literacy of students, the ground will be prepared for the reduction of digital divide. Also, it is necessary to make political efforts with the priority of supporting rural students with disadvantaged social and economic backgrounds to be a tool to reduce the digital divide.
Electronic learning- virtual
E. Noori; M. Golestaneh; S. M. Mousavi
Abstract
Background and Objectives: With the spread of COVID-19 and the closure of universities, the possibility of holding face-to-face chemistry laboratory courses was lost. And universities inevitably used alternative solutions to provide laboratory courses. Farhangian University, like other university centers, ...
Read More
Background and Objectives: With the spread of COVID-19 and the closure of universities, the possibility of holding face-to-face chemistry laboratory courses was lost. And universities inevitably used alternative solutions to provide laboratory courses. Farhangian University, like other university centers, switched to online education. This current research aimed to investigate the level of mastery of computer skills and digital literacy, as well as the quality of teaching and the effectiveness of virtual teaching of chemistry laboratory courses from the perspective of chemistry student-teachers at Farhangian University.Methods: The research was applied in terms of purpose and cross-sectional in terms of time. The research data were collected using a descriptive survey. The statistical population of the research consisted of student-teachers of Chemistry Education in the campuses and higher education centers of Farhangian University in the academic year 1400-1401, who had the experience of face-to-face and virtual education of chemistry laboratory courses. The research tool included a researcher-made questionnaire with 25 items on a 5-point Likert scale. Five chemistry faculty members of Farhangian University confirmed the validity of the questionnaire, and its reliability was calculated by Cronbach's alpha method, with a coefficient of 0.97. The questionnaire was prepared through Google Forms. After obtaining legal permissions, the questionnaire link was sent to the target group via email. And they were asked to complete the questionnaire if they were satisfied. A total of 180 students completed the questionnaire and submitted it. The collected data were analyzed using SPSS (20.00) software and descriptive and inferential statistical methods. Semi-structured interviews were conducted with 10 participants. Participants were assured that they would remain anonymous.Findings: Overall, participants' opinion about computer skills and digital literacy was favorable ( = 4.38, p < 0.05). In the components of the quality of education ( = 3.22, p < 0.05) and the effectiveness of virtual education of chemistry laboratory courses ( = 3.15 and p < 0.05), relatively favorable score were obtained. The difference in the average score of the research components according to the year of entering the university was not statistically significant. However, there was a statistically significant difference between the average score of the quality of education component according to the gender of student teachers. Tukey's post hoc test showed that male participants obtained a higher average score in the education quality component than female participants. The students' opinions on two items, "I was satisfied with conducting laboratory units virtually" and "the level of learning in online chemistry laboratory classes was good", were unfavorable. Examining the interviews showed that students often described their computer skills and digital literacy as favorable, although they were dissatisfied with the lack of computer skills of some professors. Several interviewees stated that some professors tried to make teaching as effective as possible using virtual laboratory software, videos, and related clips.Conclusion: Respondents' dissatisfaction with conducting chemistry laboratory units in a virtual way and their level of learning in online classes of chemistry laboratories was not favorable, showing that the level of satisfaction with the virtual education of chemistry laboratory courses presented in a virtual way was not good. Most interviewees admitted that the disadvantages of virtual classes were more than their advantages. There may be a direct relationship between greater satisfaction with the quality of education in the group of males and the probability of their employment and earnings money. In conclusion, the best method to improve online education is a combination of digital literacy, computer skills, creativity, using different educational tools, and active teaching-learning approaches. These results can be provided to administrators and planners of Farhangian University and the Ministry of Education. These results can help them to use operational strategies to compensate for possible deficiencies in the professional competence of chemistry student teachers in the laboratory courses provided virtually.
Electronic learning- virtual
S. Salimi
Abstract
Background and Objectives: To ensure the continuity of education during closures and quarantines, various methods such as television education through the Education Network and content production by teachers were offered on social networks. However, to organize virtual education, the Ministry of Education ...
Read More
Background and Objectives: To ensure the continuity of education during closures and quarantines, various methods such as television education through the Education Network and content production by teachers were offered on social networks. However, to organize virtual education, the Ministry of Education designed and implemented the Student Educational Network Application (Shad), where, similar to the real structure of a school, the student enters a class and follow the educational process. In this system, monitoring virtual classes and students' attendance is the responsibility of the school principal and administrative staff. Teachers have the opportunity to use the online content available in this system, created by educational groups and course secretariats, alongside their teaching duties.Methods: The present research was practical in purpose and exploratory in sequential asynchronous method. The statistical population in the qualitative part included all primary school teachers who were studying and had experience in virtual teaching with the Shad program. The statistical population in the quantitative part included all primary school teachers in Sistan and Baluchestan province, amounting to 14,230 individuals. Based on purposive sampling, 40 primary school teachers with experience were selected for the qualitative part based on theoretical saturation. The sample size in the quantitative section, according to the Krejcie Morgan table, was 374 individuals, who were selected using simple random sampling. A total of 219 questionnaires were collected. In the qualitative part, a semi-structured interview was used, and in the quantitative part, the Shad Network Virtual Education Questionnaire (taken from the analysis of interviews) and the educational quality questionnaire of Mousavi et al. (2016) were used to collect data. For data analysis in the qualitative part, Corbin and Strauss coding method (1998) was used. Descriptive analysis, Friedman test, and correlation coefficient were used for data analysis in the quantitative part. Calculations were performed using SPSS23 software.Findings: Based on the interviews conducted, three Pathology were identified for the structural factor (including: technical performance, design and aesthetics, teaching capability). From the teachers' points of view, among the factors, the technical performance factor with an average of 2.45 and a rank average of 3.30 was the first priority, and the design and appearance factor with an average of 2.19 and a rank average of 1.97 was the last priority. Two types of Pathology were identified for the behavioral factor (including: supra-individual and individual). From the teachers' perspectives, among the factors, the supra-individual factor with an average of 2.69 and a rank average of 3.64 was the first priority, and the individual factor with an average of 2.55 and a rank average of 3.43 was the last priority. Two types of Pathology were identified for the contextual factor (including: economic and social). From the teachers' perspectives, among the factors, the social factor with an average of 2.42 and a rank average of 3.80 was the first priority, and the economic factor with an average of 2.12 and a rank average of 3.33 was the last priority. Furthermore, there was a significant negative relationship between the identified Pathology and educational quality.Conclusion: According to the findings, which showed that the most damages were in the structural part of the Shad network, and there was a negative relationship between these damages and the quality of education, it is recommended to the creators of this network to take measures such as increasing the volume and speed of downloads in order to fix the structural problems and content, make the user environment more attractive and increase information security. It is also recommended to education managers to provide electronic education facilities in all schools and to hold educational workshops to develop and empower teachers in using education networks.
e-learning
A. Fazel; A. Harandi
Abstract
Background and Objectives: The use of digital technology for teaching and learning has been discussed for decades, but now and in the post-Corona era, due to the problems of the COVID-19 pandemic, it has become the focus of many educational institutions. The effect of COVID-19, in a short period, brought ...
Read More
Background and Objectives: The use of digital technology for teaching and learning has been discussed for decades, but now and in the post-Corona era, due to the problems of the COVID-19 pandemic, it has become the focus of many educational institutions. The effect of COVID-19, in a short period, brought about a huge change in the way of education and learning and even completely blocked some educational activities. As a result, education administrators have turned to other alternatives to replace face-to-face or traditional learning. Virtual education is one of the very important and serious programs proposed and carried out by educational institutions in that era, now and in the post-Corona period. The quality of designing and providing virtual education, like face-to-face education, depends on several inputs such as the teacher, learner, technological tools and education design, financial resources system, educational policies, and so on. Among the listed factors, the lecturers of these courses are of special importance. Therefore, according to the change in the teachers’ role, their previous skills can no longer be answered, and teachers, in addition to acquiring the necessary skills in the traditional learning environment, need empowerment in various fields, which is the most important step in achieving this important identification. Today, few universities can improve and develop without providing training courses to empower their faculty members, and this is doubly important in the post-Corona period when universities place a lot of emphasis on virtual education. This is because in the Corona and post-Corona period the emphasis on virtual education in higher education and increasing its use, requires special knowledge, skills, and abilities for professors To achieve this, identifying the skills of lecturers in virtual education, it seems essential and paying attention to these skills will lead to the growth of professors and as a result, improve the quality of virtual education. In particular, there is no significant study for the post-Corona period in the context of the research topic, and there is no study on identifying and explaining the teaching skills of teachers for virtual education using the methods of content analysis and fuzzy Delphi. Therefore, the present study aims to identify and explain the skills of academic staff members in virtual education in the post-Corona period in a precise manner using the approaches of content analysis and fuzzy Delphi and presenting a conceptual model.Materials and Methods: This research is an applied and descriptive research and the combined research methods of interview, content analysis, and fuzzy Delphi were used to collect and analyze information. The statistical population of the research is 20 experts and professors of the Shahid Bahonar University of Kerman. Data were collected through in-depth and semi-structured interviews. Then, all the interviews were analyzed with the method of content analysis, and the skills were extracted and identified. Then, skills were refined and explained in four survey stages using the fuzzy Delphi method.Findings: In the interview with the experts, two main questions were used to measure the skills and competencies of academic staff members for virtual education in the post-Corona period. The results of the qualitative section included 452 initial codes, which were reduced to 31 main codes and five main categories after data reduction and merging overlapping terms. These five main classes include moral-social, technical-technological, educational-learning, individual-managerial, and supervisory-supportive skills. Then, with a questionnaire, 31 identified skills were examined for refinement and confirmation in four stages. By examining the skills, the experts approved all of them with the fuzzy Delphi approach.Conclusions: In this study, it was determined that 31 skills are considered for virtual education teachers. In the meantime, we can safely say that 12 skills of social facilitation and appropriate counseling, conflict management, professional and ethical commitment, strategies and applications of learning theories, scholarly and research skills and knowledge sharing, skills to facilitate the teaching process, online lectures, encouraging and motivational skills, administrative and operational organizational skills, maintaining communication with students after completing the course, feedback, and monitoring learning activities, which were approved in the first round of the fuzzy Delphi method, are the most important skills of virtual education. Therefore, more emphasis should be placed on these skills in the post-Corona era in virtual courses.
Electronic learning- virtual
F. Mirzaei; M. Heydari
Abstract
Background and Objectives: Academic achievement of students is a function of various factors. In this study, the virtual education indicators (teachers' support for students, the quality of lessons as well as the use of up-to-date technologies) have been introduced as related concepts. The aim of this ...
Read More
Background and Objectives: Academic achievement of students is a function of various factors. In this study, the virtual education indicators (teachers' support for students, the quality of lessons as well as the use of up-to-date technologies) have been introduced as related concepts. The aim of this study was to investigate the relationship between teachers' virtual education indicators and academic achievement indicators.Methods:The research method was a descriptive-correlation type. The statistical population of this study included all the male students of the final year of primary school in Abadeh, numbering 56 schools. To determine the desired sample using the non-random quota sampling method from among 65 schools, 10 schools were considered and from each school, a class with 15 students was determined and a total of 150 participants were selected as the quotas of 10 classes. The participants were considered to answer the proposed questions. Finally, the data were analyzed. The tools used to measure the relationship between variables were two questionnaires of teachers 'virtual education indicators (including three dimensions) and a questionnaire of students' achievement indicators (including two dimensions). In order to analyze the findings of this study in the descriptive statistics section, tables and graphical output of the frequency of SPSS software version 27 were used and to analyze the data via inferential statistics, structural equation modeling criteria, obtained from Smart PLS software version 3, were used to evaluate the model fit.Findings: The results showed that there was a significant relationship between teachers' support, the quality of lessons and the use of up-to-date technologies with the rate of student learning and students' attendance (P<0.001).Conclusion: It seems that increasing teachers' mental readiness and better understanding of the conditions of virtual education among teachers, providing infrastructure improvements, can lead to an increase in the quality of teaching lessons, as well as the maximum and useful use of technology tools in the virtual environment among students.
Electronic learning- virtual
S. Khojasteh
Abstract
Background and 1Objectives: The need for virtual education has been always felt due to its advantages compared to traditional education, and during the outbreak of Covid-19 and the absence of students in universities, the necessity of this type of education increased. The aim of the current research ...
Read More
Background and 1Objectives: The need for virtual education has been always felt due to its advantages compared to traditional education, and during the outbreak of Covid-19 and the absence of students in universities, the necessity of this type of education increased. The aim of the current research was to investigate the effectiveness of virtual education on procrastination and concentration and attention of students of Payame Noor University in Kerman during the Covid-19 pandemic.Methods: The current research method was semi-experimental using control and experimental groups. The statistical population was about 4000 students of different fields of Payame Noor University in Kerman. The sample size included 40 students who were diagnosed procrastinator through the pre-test and had a certain lack of attention and concentration. The sample was selected using convenience sampling procedures and the subjects were randomly assigned to two control and experimental groups. Also, these two groups were homogenized as much as possible in terms of academic term and age. The data collection tools in this research were two standard attention deficit disorder questionnaires by Swanson and Nolan Pelham (1980) and the academic procrastination scale by Solomon and Rothblum (1984). In the current study, the calculated Cronbach's alpha coefficient for the academic procrastination scale is estimated to be 0.86, which showed that it was at an acceptable level. Pre-test and post-test were conducted for each group before and after training. Virtual training in the form of a research method class was held in a virtual educational environment by Adobe Connect software using PowerPoint online in 12 sessions(2-hour) for the experimental group. Descriptive and inferential statistics in the form of tables and figures, as well as covariance analysis, Levine's test, and Shapiro-Wilks test were used to analyze the data. The subjects of the experimental group received the research method course in 12 sessions(2-hour) virtually, while the students of the control group were trained in the traditional way.Findings: The findings of the research showed that virtual education was effective on academic procrastination and the concentration and attention of Payame Noor University students. It means that virtual education could reduce procrastination and increase attention and concentration among the students.Conclusion: Due to the high flexibility of virtual education, students can learn according to their conditions and based on mental preparation, which prevents distraction and reduces interfering factors in concentration. It is also suggested that educational programs such as workshops are designed in order to improve the awareness and ability to use virtual education as an effective educational tool and also to improve the quality of hardware. Therefore, in addition to creating a culture in this field, there is a need to try to increase the level of knowledge and improve the quality of the required facilities and equipment. Therefore, it is suggested that due to the wide and complex topics of university courses and in order to reduce procrastination and increase the attention of students, the virtual education method be considered along with face-to-face education in the universities all across the country, especially after the end of the Covid-19 disease.
Electronic learning- virtual
N. Bardia; R. Moradi; B. Yasbolaghi Sharahi
Abstract
Background and Objectives: Today, education in schools requires the use of methods that make learning enjoyable and effective for students. On the other hand, applying the suggestions and paying attention to the results of this research can change the attitudes of teachers, planners, and educational ...
Read More
Background and Objectives: Today, education in schools requires the use of methods that make learning enjoyable and effective for students. On the other hand, applying the suggestions and paying attention to the results of this research can change the attitudes of teachers, planners, and educational policy makers towards using more innovative approaches in education. The present study was conducted with the aim of investigating the effect of learning mathematics using the VAK(Visual Auditory Kinesthetic) method on the attitudes and academic performance of primary school students in virtual education during the Corona period.Methods: The research method was quasi-experimental with a pre-test-post-test design with a control group. The statistical population included all fifth-grade female students in Arak in the academic year of 1401-1400, out of which 30 students were randomly selected and assigned to experimental (15) and control (15) groups. The experimental group learned 12 online sessions of mathematical concepts with the help of the VAK strategy in the Shad Network e-learning program. Both groups were evaluated at the beginning and end of the training period through Aiken's (1978) attitudes towards mathematics questionnaire and the researcher-made math test. Descriptive statistics (mean and standard deviation) and inferential statistics (analysis of covariance to test hypotheses) were used for data analysis.Findings: The results of the research showed that there was a significant difference between the experimental and control groups in terms of the attitudes and academic performance (P<0.05) and the walk method led to an increase in the students' performance and attitudes towards mathematics.Conclusion: According to the findings of the research, it can be concluded that the walk strategy would increase the students' mathematical attitudes and performance due to using of visual, auditory, functional content and paying attention to learning styles.
e-learning
N. Mohammadhasani
Abstract
Background and Objectives: The biggest challenge posed by the Coronavirus pandemic (COVID-19) to educational institutions was the force to make an unexpected transition from face-to-face to online learning. The abrupt closure of face-to-face education led academics towards experiencing "unfamiliar areas" ...
Read More
Background and Objectives: The biggest challenge posed by the Coronavirus pandemic (COVID-19) to educational institutions was the force to make an unexpected transition from face-to-face to online learning. The abrupt closure of face-to-face education led academics towards experiencing "unfamiliar areas" due to the need to adapt quickly to e-learning environments. In advance, the benefits of these environments increased the demand for their usage in higher education. But today, given the special circumstances of the outbreak of the Coronavirus, this sudden change has undoubtedly posed challenges for educational institutions Although these environments provide numerous opportunities for learning, they require the readiness to become familiar with a wide range of technologies, the lack of which, both for teachers and learners and at the organizational level, poses some challenges in the implementation of online learning. In this regard, the present study was conducted to explore the challenges of faculty members in teaching and managing online learning environments.Methods: The present study was conducted adopting a qualitative method with a phenomenological approach. The target population of the study included the faculty members of Kharazmi University. Data were collected through in-depth semi-structured interviews. The data collection process continued until the theoretical saturation was reached, based on which 19 interviews were conducted. The final reliability and validity criteria were used to confirm the validity and reliability of the data.Findings: The results of the study led to the identification of the following categories: communication and interaction, presence and engagement, technical issues, quality, skill, evaluation, economic issues, time, and organizational challenges. As an important result, data analysis referred to the synergy and interrelationship of categories and the effects that they had on the quality of online learning. The most common codes were related to the categories of communication and interaction and presence and engagement, which were related to the category of skills and influenceed other categoriesConclusion: The analysis of the interviews showed that, it is possible to reach high-quality online learning by prioritizing these challenges and paying attention to key components. The emergence or consideration of these challenges, as well as their impact on each other, leads us to map the relationship among these challenges. The results of the analysis emphasize the need to pay attention to the sudden changes in the category of time, the emergence of related challenges, and the division of challenges into faculty members-related items individually or in relation to organizational challenges that include skill and quality. Now that the Coronavirus pandemic resulted in the rapid digitalization of higher education around the world, identifying and overcoming the challenges of entering or adapting to online environments is essential to guarantee the quality of the future of higher education.
Electronic learning- virtual
M. Ghorbankhani; K. Salehi
Abstract
Professors and trainers are the main pillars of the teaching-learning process who play an undeniable role in improving the quality of the educational system. The present study was conducted to identify the characteristics of successful instructors of virtual education. For this purpose, phenomenological ...
Read More
Professors and trainers are the main pillars of the teaching-learning process who play an undeniable role in improving the quality of the educational system. The present study was conducted to identify the characteristics of successful instructors of virtual education. For this purpose, phenomenological method was used to identify and delineate the depth of the phenomenon under the study. Data from 14 semi-structured interviews with students and professors of the University of Tehran were gathered and analyzed. Data analysis was conducted based on Colaizzi's strategy. Analysis of the data from the interviews itenfited four main categories including: electronic skills, educational features, researchist features and moral characteristics and behavior. The findings showed that effective teaching in virtual education requires special capabilites and the current status is far from the ideal situation.
Education technology - Evaluation and testing
B.E. Zamani; R. Parhizi; H. Kaviani
Abstract
This study was performed aims to Identification challenges of evaluating Virtual College students' perceptions of electronics courses. Statistical population was consisted of all students of Virtual University. For samples, 140 students were selected using stratified random sampling. Research instrument, ...
Read More
This study was performed aims to Identification challenges of evaluating Virtual College students' perceptions of electronics courses. Statistical population was consisted of all students of Virtual University. For samples, 140 students were selected using stratified random sampling. Research instrument, researcher made questionnaire was a valid and reliable. The obtained data were analyzed. The mean, standard deviation, variance analysis and paired t-tests to measure t. The results showed that the greatest challenges to the evaluation of students' views of electronic Respectively Technical problems with mean 3/71 , Pedagogical difficulties, with a mean 3/20, And Mental health problems with an average of 3.Also, the students' perspective. In the terms different And various disciplines. There was a difference. In the particular challenges of of evaluation. Yet from the perspective of students And in terms different academic, technical problems as the most important challenge of evaluating students' academic performance was introduced.
Electronic learning- virtual
A. Sanayei; H. Salimian
Abstract
Internet has been a significant effect on the establishment of virtual education. Virtual education is a term that involves online learning by using e-learning. This study analyzes the affecting factors for virtual education acceptance with emphasize on the internal factors and its statistical population ...
Read More
Internet has been a significant effect on the establishment of virtual education. Virtual education is a term that involves online learning by using e-learning. This study analyzes the affecting factors for virtual education acceptance with emphasize on the internal factors and its statistical population is, virtual faculty students of Isfahan University who have been completed the questionnaires either by their presence or through the internet (electronic questionnaires). In comparing this research with others in this field we will understand that, there is more recognition of the internal factors affecting the learners in this paper, in this study, we emphasize on these factors; and we consider the motivation and self-efficacy as internal factors. According to the technology acceptance model, we consider the direct effect of the motivation variables, ease of perceived use, cognition’s benefits, the indirect effect of social influence, system quality, facilitating condition and self-efficiency on behavioral tendency and students’ acceptance of virtual education. SPSS 19 and Amos 18 software have been used to analyze the data. The 121 questionnaire findings showed that Social influences and system quality have an impact on cognition’s benefits. Also it must be noted that we showed the effect of facilitating conditions and self-efficiency on ease of perceived use and effect of ease perceived use of the cognition’s benefits. Also on we accepted that motivation, ease of perceived use and cognition’s benefits have a direct effect on the students tendency and their behavioral tendency.
Electronic learning- virtual
S.M. Abdollahi; B.E. Zamani; E. Ebrahimzadeh; B. Zandi; H. Zare
Abstract
Main purpose of this research is to comparative study of point of views of faculty members and administers Isfahan university about major barriers of faculty participation in e-learning courses. Second purpose of this research is to study probably relations between these barriers h n order to suggest ...
Read More
Main purpose of this research is to comparative study of point of views of faculty members and administers Isfahan university about major barriers of faculty participation in e-learning courses. Second purpose of this research is to study probably relations between these barriers h n order to suggest some advises for rising level of faculty collaboration on this field. Type of this research is qualitive -quantitive. At the beginning of research, researcher designed a conceptual model based on literature and classified deterrents on three groups include personal, attitudinal and contextual inhibitors. Then, a researcher-made inventory provided based on this model and distributed on a sample include 50 faculty members of educational groups which present virtual courses in this university. Method of sampling was census. Friedman analysis Result indicated between the barriers, contextual inhibitors have the most inhibition against faculty participation. In qualitive part of research, researchers performed some semi-structured interview with five administers who were supervisor of holding courses. Analysis of this part was done by coding and categorization of interviews. Result of comparative study indicated being of contextual inhibitors reinforce effect of personal and attitudinal inhibitors.
