e-learning
F. Zamani; B. Talebi
Abstract
Background and Objectives: The use of information and communication technology in schools is one of the symbols of classroom intelligence which has become more prominent with the advent of virtual social networks and has become widespread with the outbreak of Covid-19 pandemic. One of the major ...
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Background and Objectives: The use of information and communication technology in schools is one of the symbols of classroom intelligence which has become more prominent with the advent of virtual social networks and has become widespread with the outbreak of Covid-19 pandemic. One of the major results of this pandemic is that the application of information and communication technology in schools can lead to the promotion of students' academic engagement. The purpose of this study is to explain the effects of language learners' use of social networks on their academic engagement in learning the English language.Methods: This research is applied in terms of purpose and descriptive and correctional in nature. The statistical population in this study includes all of the 1874 language learners in Iran Language Center - Tabriz Branches, who were studying English in the spring semester of 2016. From this number of students, based on Krejcie and Morgan table, 204 people including 90 girls and 114 boys were selected, first using the stratified random sampling method equally according to the branches of the Center and in the next stage, using the relative stratified random sampling method according to gender. The criteria for inclusion in the study were regular class attendance and taking the mid-term and final exams as well as the interest in continuing participating in the research and providing the required information. Moreover, the criteria for exclusion from the study were lack of class attendance or lack of interest in providing the required information. The instruments used in this study were the Academic Engagement Questionnaire (α₌0.96) and the Educational Use of Social Networks Questionnaire (α₌0.96). Both questionnaires are based on the Likert scale and 5 degrees. In order to analyze the data, the test of structural relationships and prediction with PLS software at the significance level of 0.05 was used.Findings: Descriptive statistics showed that the average academic engagement was 93.82 ±14.2, the average behavioral engagement was 30.27 ± 4.41, the average emotional engagement was 33.8 ± 5.8, the average cognitive engagement was 29.57 ± 5.47, the average educational use of social network for classroom activities was 22.97 ± 9.7, the average educational use of the social network for extracurricular activities was 33.38 ± 8.95 respectively. The use of structural relationships test with PLS software showed that there was an increase in the students' academic engagement, behavioral engagement and emotional engagement with increasing their educational use of social network for classroom activities (p₌0.05). Moreover, there was an increase in academic engagement and emotional engagement of students with an increase in their educational use of social network for extracurricular activities (p₌0.05). The effects of learners’ educational use of social networks for classroom activities on their cognitive engagement and the effect of the learners' educational use of social networks for extracurricular activities on their behavioral engagement and cognitive engagement were not significant (p >0.05). According to the corrected coefficient of determination (0.17), changes in academic engagement can be predicted based on the educational use of language learners of the social network.Conclusion: By increasing the use of technologies based on virtual social networks in the classroom, principled planning and appropriate content regulation can improve academic engagement in language learners. Launching various educational software applications during the Covid-19 pandemic is a good opportunity for appropriate use of information and communication technology in schools and foreign language classes in language teaching centers which will be a good investment to promote academic engagement in language classrooms.
e-learning
S. Hamedinasab; M. Ayati; M. Rostaminejad; F. Seraji
Abstract
Background and Objectives: In recent years, social networking sites and software have become one of the most influential phenomena among new technologies. Student-teacher learning and their professional development also take place in this context, both formally and informally. In this regard, the purpose ...
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Background and Objectives: In recent years, social networking sites and software have become one of the most influential phenomena among new technologies. Student-teacher learning and their professional development also take place in this context, both formally and informally. In this regard, the purpose of the present study is to design a curriculum model for the use of informal learning based on Authorized social networks to develop the student-teacher profession.Methods: The method of this research was done with a multi-method approach. To design the above model, the grounded theory method was first used. Participants in this study were all primary school teachers in Farhan Gian University of South Khorasan in 2018-2019. Based on purposive sampling with semi-structured interviews, until the theoretical saturation of the data, 15 of these students were interviewed. To analyze the data, using the dimension analysis approach and during the open, pivotal and selective coding steps, the existing model of informal learning based on student-teacher social networks was extracted for their professional development. To obtain the validity and verifiability of the data, two methods of reviewing the participants and reviewing the non-participating experts in the research were used. In the end, with the theoretical research method and based on previous findings, at first, the nine elements of Klein were the basis of the work and based on it, the desired model was designed. In the next step, the basic concepts or the same characteristics of the curriculum elements and structural concepts, which are in fact the same as identifying the relationship between these elements, were identified. Finally, the model presented by the experts was validated.Findings: Findings showed that goals in unpredictable social networks are flexible and continuous, which have the property of snowballs and should be validated. Content on social media requires features such as; be in tune with the audience, pave the way for critical thinking, action and screening. Learning activities; They create self-sufficiency and belonging, satisfy desires, motivate and lay the groundwork for individual and group education. Materials and resources; Diverse, easy to access, fluid and interactive. Learner grouping; It is non-linear, optional and based on extensive collaboration and online responsiveness. Also, on social media; Enough time to reflect on the answer, the possibility of communicating with communication nodes at any time, the possibility of wasting useful time with attractive content and achieving a large amount of information in a short time. In addition, access to information and educational resources is available everywhere, and the place of learning is the creator of opportunities and is based on ecology and interactive communication. Teaching strategies; Problem-oriented, interactive, based on inclusive buoyancy and with flexible instructor guidance. Evaluation methods; It is quality-oriented, process-oriented, self-assessing, continuous and based on instant feedback. The findings also showed that most experts confirmed the validity of the model in the criteria of validity, coherence, perceptibility, innovation, usability, acceptability and comprehensiveness.Conclusion: Due to the characteristics of social network-based curriculum elements, curriculum planners are suggested to use the coordinates of these elements to design a curriculum based on social networks in order to achieve the development of student-teacher careers. It is also suggested that Farhangian University provides the necessary infrastructure for the purposeful use of social networks for the development of student-teacher professions.
e-learning
S. Hamedinasab; M. Ayati; M.َA. Rostaminejad; F. Seraji
Abstract
Background and Objectives: To use social media effectively, we need to identify and apply the implications of supportive theories using social media. Different learning theories provide a variety of interpretations of learning. Different learning theories lead to diverse orientations and outcomes in ...
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Background and Objectives: To use social media effectively, we need to identify and apply the implications of supportive theories using social media. Different learning theories provide a variety of interpretations of learning. Different learning theories lead to diverse orientations and outcomes in curriculum planning. Therefore, learning theories serve as a framework for guiding decisions during the design and implementation of the curriculum. The aim of this study was to identify the types of learning theories that support the use of social networks and to analyze learning theories on social networks in order to provide a theoretical basis for designing curricula. Methods: For this study, qualitative content analysis method was used. The statistical population of this study consists of all valid documents related to the subject- supportive theories of learning in social networks- from 1995 to 2018 (n=30) selected based on purposeful sampling. The content of 30 documents were analyzed. The analysis unit is the theme. To analyze the findings, the main and sub-classes were extracted after open coding. To ensure the validity of the research, the methods of review by members, triangulation of data sources and review by colleagues were used, and to ensure reliability, the agreement method between the two coders was used. Findings: The findings showed a variety of context-based, community-based, and person-centered theories that support learning on social media. The findings also include four main categories: It showed the dimensions of social networks, network interactions, types of learning, and curriculum elements. It was shown that network communication in social networks includes social interaction, interpersonal communication and interactive communication with admin and teacher-student communication, which is broad and based on community sharing, central agreement and based on sharing ideas. Types of learning on social networks include; network learning, situational learning, problem-based learning, personal learning, and indirect learning. Elements of the curriculum include; network objectives, network content, network learning environment, network inclusiveness, and network evaluation. Network Objectives; features such as unpredictability, divergence, unpredictability, variability, nonlinearity, flexibility, value, reproductive and interactive. Network content has some features such as distributed knowledge, multiplicity of resources, reliable resources, accessibility, context-based knowledge, shared knowledge, inclusive knowledge, self-centered information, voluntary knowledge creation, interchangeable content. The network environment includes technical and educational features. Among the technical features of this environment, we can mention the diversity of language, the existence of communication tools, the possibility of customizing the message and simulating communication. The educational features of this environment also include; being rich is one of the tools of knowledge management, situational awareness, personalized information, open and flexible environment. The network learner is knowledgeable and up-to-date, independent and active, able to do several things together. The network learner is an actor, and social agent who processes, publishes, and manages knowledge on a regular basis. Evaluation on social media is a nonlinear process, formative, conscious, and continuous that is accompanied by the elimination of standard rankings and tests. Conclusion: Based on the research results, it is suggested that those in charge of education use the coordinates of social network-based curriculum elements to design a curriculum based on social networks. For further research it is suggested that researchers implement the findings in an experimental environment to take a positive step towards the optimal use of social networks to learners’ learning outcome.
Education technology -training course
T. Yaghoobi; M. Abooei Ardakan; F. Gouyandeh Najaf Abadi
Abstract
Nowadays students, as digital natives, are attending social networks, social sites, blogging and doing other activities of Web 2.0, while it seems teachers, as digital immigrants, are less likely to use this technology than students. Given the apparent gap between digital natives and immigrants, and ...
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Nowadays students, as digital natives, are attending social networks, social sites, blogging and doing other activities of Web 2.0, while it seems teachers, as digital immigrants, are less likely to use this technology than students. Given the apparent gap between digital natives and immigrants, and the undeniable benefits of using these tools to teach or assist teaching that leads to collaboration, knowledge sharing and knowledge and data transfer, it is necessary to detect factors affecting the acceptance and usage of this technology by teachers, and then policy making in the field of education to be done properly by the authorities, based on these factors. Thus, this research has used the technology acceptance theory 3, which was introduced in 2008 in connection with the information technology to address these factors. This has been carried out through a descriptive study, and the data has been collected by a questionnaire on the sample of 340 high school teachers in Isfahan. Analysis of hypothesis has been done by structural equation modeling and path analysis methods using LISREL software. The results of this research showed convenient and perceived ease of use, has the most influence on the adoption of Web 2.0 technologies by teachers. Peer support, organizational support and computer self-efficacy positively and computer anxiety negatively are factors that affect ease of use.
