Learning Management System

This experimental study attempts to see whether incorporating supplemental podcasts into the blended module of second language (L2) vocabulary teaching and learning leads to better learning outcomes in comparison with other common teaching and learning methods as self-study and conventional. To that end, undergraduate students from Ahvaz Jundishapur University of Medical Sciences were summoned up via an announcement to take part in the study. Volunteers were homogenized via Vocabulary Levels Test (VLT) and were then randomly divided into three groups to learn English vocabulary items via three different scenarios during 32 sessions. The collected data from the participants’ answers to the attitude questionnaire and interview as well as the data from assessing their performance throughout the course were analyzed both descriptively and inferentially. The analysis of the data revealed that the podcast-mediated blended L2 learning scenario appeared as the most successful scenario in L2 vocabulary learning. Consequently, it could be concluded that providing miscellaneous practicing opportunities for students would facilitate learning process and contribute to learning improvement.

The upheaval time of COVID-19 highlighted the importance of an effective way of teaching English to the front-line healthcare workers such as medical doctors and researchers with different digital-divide status, particularly in non-English-speaking countries because they were first-hand users of critical pandemic-related information in mostly-English articles published online by scientific journals. This study attempted to investigate the pedagogical effects of utilizing the two main User-Generated Content (UGC) platforms in E-learning, namely LMS vs. LXP, on the results of the Electronic Ministry of Health Language Examinations (E-MHLE) among Iranian English for Medical Purposes (EMP) learners across their digital-divide status (digital natives vs. digital immigrants) during the COVID-19 pandemic. A series of focus-group E-interviews were conducted to determine the reasons behind the lowest scores among the participants and to find out possible suggestions for success in high-stake E-tests. To this end, 272 EMP learners who were users of LMS and LXP were conveniently selected from a university of medical science to participate in this sequential explanatory mixed-method research. The results of descriptive and inferential statistics showed that the LXP group outperformed the LMS one in the results of E-MHLE. Moreover, the digital natives obtained higher scores than the digital immigrants in both groups but the difference was not significant in the LXP. The findings of the E-interviews were thematically analyzed and discussed. The findings of this study might offer practical and realistic benefits to the whole EMP community, particularly policymakers for the post-COVID-19 era. 

This mixed-method study endeavored to solicit the perspectives of Iranian collegiate students passing the obligatory course of medical English through Navid Learning Management System and its acceptance during COVID-19 pandemic. Utilizing Technology Acceptance Model, this study also sought to examine the possible effect gender, academic degree, instructional mode, and e-learning duration in LMS may have on the participants' attitudes. An online survey was employed to gather data from 78 Iranian students. Semi-structured interviews with ten participants were conducted as well to shed more light on the quantitative data regarding main advantages and disadvantages of medical English learning through Navid. The data were analyzed through descriptive and inferential statistics along with inductive thematic analysis, respectively. Findings revealed that Iranian collegiate medical students viewed Navid as a comprehensive e-learning platform to be favorable in terms of its system/service quality, student/educational service quality, and perceived satisfaction, but its perceived satisfaction was not aligned with their needs. Moreover, neither the individual variables, (viz., age and academic degree), nor the instructional variables (viz., instructional mode and e-learning duration) were predictors of the discrepancies among the participants in their perspectives and acceptance of Navid. Learning ubiquitously and lacking face-to-face communication were the main advantage and disadvantage of learning medical English through Navid, respectively. Results revealed that although under the Covid-19 pandemic the acceptance of Navid and students' satisfaction with its use might not be related to the individual and instructional variables in the medical English courses, it might not be the case in others.

Although social softwares are interactive and communication tools that play an effective role in the field of learning and teaching, unfortunately, the interactive educational method using web2 tools is a new approach in Iran. In the other hand, the learning management system used by many virtual universities to improve the learning and learning process of students has some shortcomings and problems. According to research conducted by researchers, the combination of a learning management system and a social software in universities has reduced many of these constraints. The purpose of this research is to provide a model for utilizing social soft wares in a learning management system. In this regard, the research strategy is to provide a research model and validate it. This research is applied in terms of purpose, and in terms of information gathering, it is a descriptive survey. The data gathering tool was a researcher made questionnaire. Sampling method is targeted judgment. Therefore, by reviewing the literatures, first, the capabilities of various social softwares (wiki, blog, social networking, podcast and tag) were identified in the field of learning and education and a model for using these softwares in each module of the learning management system in order to overcome some of the problems caused by these systems in virtual universities were provided. Then, the proposed model was approved by a survey of 15 experts in the fields of e-learning and communications and media. Based on the findings of the analysis of the collected data, the use of various social softwares in the LMS modules was confirmed and ranked in importance.