Education technology - higher education
S. Talebi; M. R. Nili Ahmadabadi; H. Fardanesh; A. Delavar
Abstract
Background and Objectives: Educational technology, as an interdisciplinary field, is affected by the advances in science and technology and the use of their findings to facilitate the education process and improve the quality of learning. With the aim of using “Design Thinking” as a new approach ...
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Background and Objectives: Educational technology, as an interdisciplinary field, is affected by the advances in science and technology and the use of their findings to facilitate the education process and improve the quality of learning. With the aim of using “Design Thinking” as a new approach for innovation and creative problem solving and a source of effect in instructional design issues, the current research is in search of design and validation of design thinking instructional model in educational technology in order to improve instructional design, create rich experiences and innovative issues in education. The lack of formation of the designer's identity in the instructional designer and the lack of equipping the mind with creative design and design thinking can lead to superficial and low-quality instructional designs, boredom and reduced motivation, and reduced effectiveness of educational plans. In this regard, paying attention to thinking designerly and design thinking can respond to the challenges facing instructional design and solve them. The basic gap in this field is the lack of effective design thinking instructional model for educational technology students, which is the aim of this research.Methods: In conducting the research, a mixed method was used in the form of a sequential exploratory design with two main qualitative and quantitative parts. In order to identify the components of design thinking in the model of instructional design, a systematic review method was used by examining research from 1980 to 2021 in various multidisciplinary and scientific databases in Latin and Persian. 294 researches were identified and after reading the summary of articles and preliminary review and removing irrelevant articles, 21 articles were subjected to qualitative content analysis with inductive design. The components of design thinking, social constructivism, design-instructional design thinking were extracted and based on the findings of the qualitative part, the proposed model of education was designed inspired by Janasen's model and was subject to internal and external validation in the quantitative part. For the internal validation of the model, a descriptive survey method was used with the statistical community of experts in the field of educational technology. The external validation of the model was done through the quasi-experimental method (pre-test and post-test groups, experimental and reference groups) with the participation of 32 master's and doctoral students in educational technology, and the results were used to modify and finalize the model.Findings: Inductive analysis of the content of the qualitative part of the research showed that the instructional pattern of DT is a mixture of the theoretical and practical components of DT, instructional design, and social constructivism. Identification of the components, their relationship, and their combination to conform to the pattern of the instructional design of DT resulted in the presentation of a conceptual model and a proposed pattern for instructional design. In the quantitative part of the research, the internal validity of the proposed pattern was confirmed by 29 educational technology experts and university instructors. The descriptive results and the t-test of each of the groups regarding the variables and the mean and standard deviation of the results of covariance of the experimental and control groups after intervention showed that using the pattern, that is proposed for DT, was significant at the alpha level of p<0.01 with the score for students’ DT qualification. The null hypothesis was rejected in the confidence interval level of 99 percent and the research hypothesis was confirmed on the condition of validity of the proposed pattern for teaching DT and its impact on the instructional design performance of the MA and Ph.D. students of educational technology.Conclusion: Confirmation of the research's internal and external validity testifies that the proposed pattern can be suitable for teaching DT to students of educational technology while providing a safe and flexible environment for DT learning. Furthermore, it may promote qualifications for instructional design in the areas of professional foundations, planning, and analysis, compilation, assessment, instructional evaluation, and betterment of instructional design. However, there are certain challenges in the way of enforcement and some exigencies for successful DT teaching, which need to be taken into consideration. The pattern can be used in the centers for training and recruiting instructional designers, thus contributing to better performance of the instructional design.
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.