Preparation and compilation of electronic content
H. Abbasi; M. Nili Ahmadabadi; A. Delavar; E. Zaraii Zavaraki
Abstract
Background and Objectives: Due to the growing need of learners for new digital technologies in education, especially augmented reality technology, which has significant potential, the inadequacy of common electronic content, their lack of educational principles and standards and the lack of a suitable ...
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Background and Objectives: Due to the growing need of learners for new digital technologies in education, especially augmented reality technology, which has significant potential, the inadequacy of common electronic content, their lack of educational principles and standards and the lack of a suitable model for producing augmented reality content in education with a constructivism approach necessitate conducting research and finding a solution. The current study aimed to design and validate the model of production of augmented reality content with an emphasis on the constructivism approach.Methods: The present study was an applied one according to the purpose and based on the method, it was a mixture or combination of consecutive exploratory type. Inductive qualitative content analysis was used to extract the template components. In reviewing texts and articles, the systematic review method was used and to determine the internal validity, the survey method was utilized. The statistical population for content analysis included scientific sources, books, articles, treatises and valid scientific documents in the field of augmented reality between 2000-2022. By selecting related keywords, the search was conducted in local and international citation databases. The statistical sample was selected via purposive method and included 232 cases. The statistical population for the interview included professors, specialists and producers of augmented reality and the statistical sample of the target population was formed via purposive sampling consisting of 21 people. Also, the statistical population for model validation included augmented reality specialists and university professors, from which a statistical sample of 33 people were selected via purposive sampling method. Data collection tools included a researcher-made questionnaire and a semi-structured interview. To check the inter-coder reliability, two methods of decoding and second coding were used. The content validity of the questionnaire was confirmed by experts. In order to determine the reliability coefficient of the questionnaire, Cronbach's alpha test and to determine the internal validity of the model, frequency, mean, standard deviation, mean standard error and one-sample t-test were used.Findings: In the first and second method, the inter-coder reliability was 91% and 87%, respectively. And the content validity ratio index was 93% and 96%, respectively. The reliability coefficient of the questionnaire was 96% through Cronbach's alpha test. The value of t-test was positive for all questions and according to the significance level (Sig= 0.001), the difference between the mean of the questions and the theoretical mean was significant. The results of content analysis showed that 13 main categories and 55 subcategories were extracted for the augmented reality content production model. The main categories of augmented reality content production model included management, instructional design, design of constructivism learning environments, multimedia design principles, cognitive load control, technical design, production, execution, rendering, publication, development, program evaluation and academic achievement.Conclusion: By identifying the categories and their subcategories, first a conceptual model and then a process model were designed. The innovation of the designed comprehensive model in instructional and technical design requires the simultaneous attention to instructional and technical dimensions. In the presented model, the categories related to the instructional dimensions were environmentally located and the categories related to the technical dimensions were centrally located. The results of statistical analysis showed that from the perspective of experts, the designed model had a high validity and its validity was confirmed. Therefore, it is suggested that this model be used to produce electronic augmented reality content, especially for position-based training, based on a constructivism approach and designed with augmented reality content.
E-Lerning
M. Zareei; E. Zaraii Zavaraki; Kh. Ali Abadi; A. Delavar
Abstract
Background and Objective: The opportunity to participate and interact more in the learning process on social media is a good incentive to use alternative social media tools, in addition to the usual LMS. In contrast, when using Web 2.0 tools such as social media, the learner is placed in a learning community ...
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Background and Objective: The opportunity to participate and interact more in the learning process on social media is a good incentive to use alternative social media tools, in addition to the usual LMS. In contrast, when using Web 2.0 tools such as social media, the learner is placed in a learning community that can reach a high level of meaning making and knowledge/skill building through interaction with peers and content. Communication formed on social networks provides the basis for the implementation of communication and defines education in terms of interactions in a network in which students exchange their knowledge; Therefore, social media represents a good option to be used as an additional learning resource. Hence, the creation and development of a scientific and trusted social network that can cover the educational needs of the learners and teachers in a digital society and is always available to users is felt. On the other hand, the legal requirements of higher documents such as the 1/17 solution of Fundamental Document of Change of Education that states the filling of the digital divide between educational areas and schools, unveils the need to create a social network of Iranian schools as a suitable platform for key users of learning-teaching environment. Therefore, in order to design a virtual social network model in schools, it is necessary to identify the main and sub-components of this model. The purpose of this study was to compile a model for desiging a virtual social network for Iranian schools. Methods This reseach utilized a mixed– quantitative and qualitative – method, and it was carried out with an exploratory design. The study population in the qualitative phase included the accessible 45 written and electronic documents in English and Persian selected by using purposive sampling. Data collection and analysis were done using inductive content analysis method. The quantitative phase was performed using a survey. The study population included the educational technology specialists of Iran from which a sample of 30 educational technology professors and Ph.D. Candidates were selected on an accessible basis. To collect data, a researcher-made questionnaire was used, the validity and reliability of which was determined by professional assessment and by Cronbach’s alpha (0.86), respectively. To analyze the data, a single-sample t-test was employed. Findings: The findings of the study led to the identification of four main features: network learning, network facilitation, network moderation, network technology, as well as sixteen sub-features, which were functionally and semantically similar to the main features. The results also showed that the extracted model has a high internal validity. Conclusion: According to the results of this study, integrating the existing social netwroks into the present LMSs as a learning environemtn can support network learning in alignment with cultural-constructivism and communicativism. In this context, it defines the active roles in the learning environment in accordance with their functions in this era. Regarding the results of the research hypothesis, it can be concluded that, the extracted model, which includes components such as network learning, network facilitation, network management, and network technology, makes it possible to support student learning in the context of network technology. These components make it possible to implement model patterns in schools. The clear and distinct definitions of the components lead to an accurate understanding of the users and their comprehensiveness. Therefore, the model in question was valid from the point of view of experts who had practical knowledge about the use of social networks in learning.
