Artificial Intelligence
farzaneh hashemi; hasan shariyat; zeynab abootalebi
Abstract
Background and Objectives: One of the major issues in primary education is the decline in motivation for academic achievement among students and the limited effectiveness of teachers' educational activities in the classroom. In the current era, technology and artificial intelligence play a vital ...
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Background and Objectives: One of the major issues in primary education is the decline in motivation for academic achievement among students and the limited effectiveness of teachers' educational activities in the classroom. In the current era, technology and artificial intelligence play a vital role in changing and transforming educational systems. This article examines the effects of new technologies, especially artificial intelligence, on teaching and learning processes in schools. The use of artificial intelligence tools can help teachers and students improve the learning process through personalized learning, dynamic interactions, and providing immediate feedback. This research aims to investigate the effect of artificial intelligence-based design on teacher effectiveness and motivation for academic achievement of sixth grade elementary school students in the academic year 1403-1404. This article examines the effects of new technologies, especially artificial intelligence, on teaching and learning processes in schools. The use of artificial intelligence tools can help teachers and students improve the learning process through personalized learning, dynamic interactions, and providing immediate feedback. This study aimed to investigate the effect of artificial intelligence-based design on teacher effectiveness and academic achievement motivation of sixth grade elementary school students in the academic year 1403-1404.This study aimed to investigate the effect of artificial intelligence-based design on teacher effectiveness and academic achievement motivation of sixth grade elementary school students
Methods: The present study was conducted in two qualitative and quantitative parts. The research method is a semi-experimental design with a pre-test-post-test design with control groups (using normal methods) and control groups (artificial intelligence-based educational design). The statistical population of the study included all sixth grade elementary school female students in Qom province, including 2325 in the academic year 1403-1404. With the help of Gpoer sample size calculation software, 72 students were selected using purposive non-random sampling method and then randomly classified into two control (36 people) and experimental (36 people) groups. The research tools included artificial intelligence-based programs in the field of educational design, as well as standard questionnaires on academic achievement motivation by Hermans (1997) and teacher effectiveness by Cho and Perley (2007). Data analysis was performed using the analysis of variance statistical test.
Findings: In order to analyze the data, descriptive statistical methods were used, and in inferential statistical methods, univariate analysis of covariance and multivariate analysis of covariance were used, observing its assumptions, normality, homogeneity of variances, and homogeneity of covariance at a significance level of a=0.05. The results showed that educational design based on artificial intelligence improved teachers' effectiveness and increased students' motivation for academic achievement. Data analysis indicated significant differences in teachers' effectiveness scores and academic achievement motivation between the experimental and control groups (P<0.005).
Conclusion: The features of artificial intelligence, including personalized learning, greater interaction, accurate assessment and immediate feedback, and attention to individual needs, enhanced motivation, improved the learning process, and improved teacher effectiveness. This study is in line with previous research in this field. Finally, the need to pay attention to ethical considerations and challenges related to the adoption of artificial intelligence in education was emphasized. Future research can explore further applications of artificial intelligence in other educational levels and different subjects.
Educational Technology
M. Asnavandi; R. Moradi; M. Bagheri
Abstract
Background and Objectives: In recent decades, the expansion of innovative educational technologies has profoundly transformed teaching–learning practices and has drawn the attention of researchers and educators to active, learner-centred approaches. Among these, the flipped classroom, by shifting ...
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Background and Objectives: In recent decades, the expansion of innovative educational technologies has profoundly transformed teaching–learning practices and has drawn the attention of researchers and educators to active, learner-centred approaches. Among these, the flipped classroom, by shifting direct instruction from the classroom to outside the school environment, provides more opportunities for interaction, practice, and critical thinking during class time. On the other hand, micro learning, by delivering content in short, purposeful, and accessible segments, enables gradual and personalized learning while helping to reduce cognitive load. Despite the growing use of these two approaches in advanced educational systems, there is still insufficient empirical evidence regarding their relative effectiveness on different dimensions of learning at lower educational levels. Since student engagement is recognized as a key indicator of academic success and sustained learning—encompassing cognitive, emotional, and behavioral dimensions—examining the impact of innovative teaching methods on engagement can offer valuable insights for improving the quality of education in elementary schools.Methods: This study employed a quasi-experimental design with a pre-test-post-test control group. The statistical population comprised all female second-grade elementary school students in public schools in Arak city during the academic year 2023-2024. From this population, a convenience sample of 105 students was selected from a girls’ elementary school and randomly assigned to three groups (flipped classroom, micro learning, and control). The research instruments included the standardized Reeve’s Academic Engagement Scale and the Cognitive Load Questionnaire by Paas and Van Merriënboer. The educational intervention was conducted over 8 weeks, during which the flipped classroom group utilized pre-class instructional videos and interactive in-class activities, and the microlearning group benefited from short digital instructional content and supplementary sessions. The control group received traditional instruction. Data were analyzed using descriptive and inferential statistical methods (analysis of covariance).Findings: Examination of statistical assumptions indicated that the necessary conditions for conducting the analysis of covariance (ANCOVA) were met. The results revealed a statistically significant difference between the groups in total academic engagement post-test scores after adjusting for the pre-test effect [F(2, 100)=17.85, p<0.001, η²=0.26]. Pairwise comparisons demonstrated that micro learning yielded superior performance compared to both the flipped classroom and the control group across all dimensions of academic engagement (cognitive, emotional, and behavioral), as well as in reducing cognitive load [F(2, 100)=39.52, p<0.001, η²=0.44] (p<0.05). A follow-up test three months later confirmed the sustained superiority of micro learning. While the flipped classroom also showed an advantage over the traditional method, its effectiveness was lower compared to micro learning.Conclusion: The results of this study revealed that micro learning, due to its flexible structure, gradual delivery of content, and effectiveness in reducing cognitive load, can serve as a highly efficient instructional strategy for enhancing cognitive, emotional, and behavioral engagement among elementary school students. These findings highlight the importance of considering instructional design principles tailored to learners’ cognitive and developmental characteristics and suggest that integrating micro learning with conventional teaching methods can significantly improve the quality of teaching and learning processes. Moreover, the study underscores the necessity of teacher training and professional development in designing and implementing micro learning content. Familiarity with the principles of this approach can enable teachers to make creative use of educational technologies, foster students’ academic motivation, and enhance their active participation in the classroom. Accordingly, it is recommended that educational policymakers and school administrators promote the effective application of micro learning by offering in-service training programs, specialized workshops, and capacity-building initiatives for teachers. Employing this approach has the potential to improve not only learning outcomes in science education but also in other subjects and instructional contexts.
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.
