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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: modeling,Learning,e,Intelligent,Agents
- چکیده:
- چکیده انگلیسی: Background: The present study aimed at investigating the designing dimensions of personalized e-learning environment scale based on intelligent agents and presentation of an integrated model from 11 intelligent agents. Methods: This study was an applied research with respect to its nature and purpose, and a descriptive and survey research with regards to data collection methodology. The population of the study was 3 main groups: (1) professors in Payame Noor University (15 samples), (2) Ph.D. students in Payame Noor University of Tehran (48 samples), and (3) MA students of E-learning Center in Payame Noor University of Isfahan (112 samples) during the educational year of 2015 and 2016. To collect data, a researcher made questionnaire of personalized e-learning environment scale for intelligent agents was administered. Data were summarized and analyzed using Lisrel 8.5 software and SPSS 16 via descriptive indexes and inferential statistics. Using SPSS, the correlation coefficient between dependent and independent variables were measured, and the path analysis scale was performed to design a casual model, and finally the proposed fitting scale was measured using Lisrel software. Results: Results revealed that among the components of personalized e-learning environment pattern based on intelligent agents, user and electronic content factors were, respectively, the most and least important in the proposed design. Conclusions: The entire path of the research model was significant, which indicated a proper fitness of the proposed model to the real world data. Also, research hypotheses were approved, which means designing personalized e-learning environments by proposed intelligent agents increases the effectiveness of these courses.
- انتشار مقاله: 11-10-1348
- نویسندگان: Bahman Saeidi Pour,Mehran Farajolahi,Mohammad Reza Sarmadi,Hanieh Shahsavari
- مشاهده
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: quality,Evaluation,Modelling,E-Learning Courses,Learner approach
- چکیده:
- چکیده انگلیسی: Background : With the growth of e-learning in recent decades, research on the evaluation of e-learning standards sought to optimize and make e-learning effective. This study was conducted on the necessity of quality evaluation of e-learning systems from the learner’s perspective, having the purpose of multi-dimensional quality evaluation modelling of e-learning courses using learner-based approach. Methods : With respect to nature and purpose, the present study is an applied research, and with respect to the data collection method, it was a descriptive and survey type of research. The population of the study comprised all the students pursuing an MA in e-learning at Tehran University in 2013 - 14. Samples including 201 [F1] students were selected using a simple random method in 2014. Results : According to the obtained fitting indexes for the components, the indexes were very appropriate. The relationship between variables in the model of learners’ satisfaction represented the significance of the relationship between the factor (learners’ satisfaction) and latent variables (first-grade factors) at the level of 0.01%. Conclusions : The results showed that, based on standard scores related to the variables that influence learners' satisfaction, it is possible to estimate learners’ satisfaction with e-learning using a good-fitting model and real-world data.
- انتشار مقاله: 24-06-1394
- نویسندگان: Bahman Saeidi Pour,Hanieh Shahsavari
- مشاهده
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: Students,Strategies,Intelligence,meta-cognitive,Spatial
- چکیده:
- چکیده انگلیسی: Introduction: Introduction: Intelligence and its various aspects are some parts of human existence that has a prominent role in the prosperity of human life in all areas of life. The purpose of this study was to evaluate the influence of spatial intelligence on the extent of the use of meta-cognitive strategies.Methods: To collect data, the researcher made a questionnaire that was used to measure spatial intelligence. The stability of the research instrument on the basis of Alfa Chronbach coefficient was about 84%. To assess students' meta-cognition, Pint rich and De Grout’s questionnaire was used. The general validity of this questionnaire in the last application was 89%. Reliability of the research instrument was improved using amending ideas of research committee so that it could determine 75% of the reach variable variances.Results: Results were analyzed using the multivariable regression analysis methods and path analysis. Finally the proposed fit model was analyzed using LISREL software. Findings showed that spatial intelligence has a significant and positive effect on meta-cognitive strategies. According to the obtained results, we can say that the research model has had good fit from the real world data. Conclusion: Thus, it was concluded that spatial intelligence has had significant effects on the use of meta-cognitive strategies, and thus, lead to improve student learning.
- انتشار مقاله: 11-10-1398
- نویسندگان: Bahman Saeidi Pour,Hanieh Shahsavari
- مشاهده
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: modeling,Learning,e,Intelligent,Agents
- چکیده:
- چکیده انگلیسی: Background: The present study aimed at investigating the designing dimensions of personalized e-learning environment scale based on intelligent agents and presentation of an integrated model from 11 intelligent agents. Methods: This study was an applied research with respect to its nature and purpose, and a descriptive and survey research with regards to data collection methodology. The population of the study was 3 main groups: (1) professors in Payame Noor University (15 samples), (2) Ph.D. students in Payame Noor University of Tehran (48 samples), and (3) MA students of E-learning Center in Payame Noor University of Isfahan (112 samples) during the educational year of 2015 and 2016. To collect data, a researcher made questionnaire of personalized e-learning environment scale for intelligent agents was administered. Data were summarized and analyzed using Lisrel 8.5 software and SPSS 16 via descriptive indexes and inferential statistics. Using SPSS, the correlation coefficient between dependent and independent variables were measured, and the path analysis scale was performed to design a casual model, and finally the proposed fitting scale was measured using Lisrel software. Results: Results revealed that among the components of personalized e-learning environment pattern based on intelligent agents, user and electronic content factors were, respectively, the most and least important in the proposed design. Conclusions: The entire path of the research model was significant, which indicated a proper fitness of the proposed model to the real world data. Also, research hypotheses were approved, which means designing personalized e-learning environments by proposed intelligent agents increases the effectiveness of these courses.
- انتشار مقاله: 11-10-1348
- نویسندگان: Bahman Saeidi Pour,Mehran Farajolahi,Mohammad Reza Sarmadi,Hanieh Shahsavari
- مشاهده
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: quality,Evaluation,Modelling,E-Learning Courses,Learner approach
- چکیده:
- چکیده انگلیسی: Background : With the growth of e-learning in recent decades, research on the evaluation of e-learning standards sought to optimize and make e-learning effective. This study was conducted on the necessity of quality evaluation of e-learning systems from the learner’s perspective, having the purpose of multi-dimensional quality evaluation modelling of e-learning courses using learner-based approach. Methods : With respect to nature and purpose, the present study is an applied research, and with respect to the data collection method, it was a descriptive and survey type of research. The population of the study comprised all the students pursuing an MA in e-learning at Tehran University in 2013 - 14. Samples including 201 [F1] students were selected using a simple random method in 2014. Results : According to the obtained fitting indexes for the components, the indexes were very appropriate. The relationship between variables in the model of learners’ satisfaction represented the significance of the relationship between the factor (learners’ satisfaction) and latent variables (first-grade factors) at the level of 0.01%. Conclusions : The results showed that, based on standard scores related to the variables that influence learners' satisfaction, it is possible to estimate learners’ satisfaction with e-learning using a good-fitting model and real-world data.
- انتشار مقاله: 24-06-1394
- نویسندگان: Bahman Saeidi Pour,Hanieh Shahsavari
- مشاهده