Educational Technology
M. Rashki; M. Arabanani
Abstract
Background and Objectives: Teaching-learning is essential for the development of creativity and sustainability of the needs of modern cities, and the intelligent learning environment has been created to respond to the needs of the new knowledge society in smart city design. Community quality is a challenge ...
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Background and Objectives: Teaching-learning is essential for the development of creativity and sustainability of the needs of modern cities, and the intelligent learning environment has been created to respond to the needs of the new knowledge society in smart city design. Community quality is a challenge for smart city development; Because in the social field, the quality of society with a professional approach is not used comprehensively and systematically. The quality of society is based on the quality of organizations, universities, educational institutions and collaborative learning.The purpose of this study was to identify and rank factors affecting smart city design with educational approach. Methods: In this research, a researcher-made questionnaire was used to collect data. The statistical population of the study included all high school teachers and educators in Zahedan city. In the first step, by studying valid scientific and citation sources, while sufficiently familiar with the concepts and definitions of smart city, development of smart city and the factors affecting it, a preliminary list of factors affecting the smart city was identified with an educational approach. In this study, the indicators in terms of structure and practical procedures in smart city learning were identified and accordingly the research questionnaire was designed and compiled and provided to the tutor and consultant who was used to collect data after the corrections and then with Using Cronbach's alpha method, the reliability of the questionnaires was calculated. Simple random sampling method was used. SPSS 21 software was used to analyze the data. Cronbach's alpha coefficient of the questionnaire was found to be 0.84. Data analysis was done by logistic regressions method. Findings: The education industry changes and enhances urban services, and this value-added and driving force industry can be identified as an advanced industry in the smart city. The results showed that intelligent governance (9.526), intelligent interaction and integration (8.926), intelligent people (8.875), infrastructure (8.872), human resources (7.757), technology acceptance (7.567), the smart economy (7.236) and the medium of electronic interaction based on multimedia content (5.765), respectively, have the most importance in the establishment of smart city. Conclusion: In order to build a smart city education system, the process of encouraging citizen participation and creating different communication channels is critical. The "smart city" label is not limited to cities that simply adopt high technology. The ultimate goal of the smart city development include: improving the quality of life of individuals, families and local people through advanced information and communication technology and education systems through the creation of a communication channel between citizens can create systems that enhance smart integration. The learning structure in the process of developing smart skills in smart schools needs to be rebuilt. The essence of the smart city is the promotion of social cooperation, social networking and social participation, and it transforms community members into using smart learning as a tool to better comply with social behavioral norms. Collaboration and development of information technology removes barriers to the sharing of information and knowledge, as well as the learning frontier in smart schools, and creates three changes. The first is to change teaching methods; The second is the reconstruction of the knowledge system and the third is the influence on the formation of a new generation of learning methods among students.
Learning Environment
J. Jahani; R. Mazaheri; Mehdi Mohamadi; M Shafiei
Abstract
Background and Objectives:The purpose of the present descriptive-survey study is development and validation of teaching - learning process instrument in smart schools in educational system of the Islamic Republic of Iran. Methods: The research tool i.e. the researcher-made questionnaire was designed ...
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Background and Objectives:The purpose of the present descriptive-survey study is development and validation of teaching - learning process instrument in smart schools in educational system of the Islamic Republic of Iran. Methods: The research tool i.e. the researcher-made questionnaire was designed and implemented based on research background. First, the theoretical foundations and research background in this field were studied And three dimensions of indicators, components and tools were extracted and designed in the form of scale items. In the next step, to evaluate the validity of this scale, item analysis method was used and all items had the required validity more than 0.4. In addition, the reliability of the scale was determined and confirmed by Cronbach's alpha. then The designed questionnaire was provide after validation to statistical sample of 216 teachers of smart schools in Gorgan randomly selected based on the sample size formula in the academic year of 1395-1396. who were. Finally, The results were analyzed using descriptive and inferential statistical methods. Friedman test and one-sample t-test statistical techniques were used to analyze statistical data. Findings The results of this study show that the teaching and learning indicators in smart schools have the greatest impact on creating a dynamic and attractive environment for students' creativity and the least amount is related to the promotion of the assessment of high levels of thinking, knowledge and skills. In terms of teaching and learning components of intelligent schools, the highest level of influences is on teachers' familiarity with IT skills and the least amount on the promotion of critical thinking and students’ self-directedness. Also, regarding teaching and learning tools, smart schools have had the greatest impact on hybrid technology (film, image, etc.), and the least amount of influence on the production of blogs and educational sites. Conclusion: Smart schools are one of the most important achievements in the development of information technology in order to fundamentally change the educational system. Technology can be used as a powerful tool to improve the quality and efficiency of education, but it should be noted that the combination of information and communication technology with education and learning system is a multifaceted and complex process. According to the findings of the present study, in examining the infrastructure of smart schools, quantitative and qualitative aspects of indicators, components and effective tools of smartening up process should be considered. Undoubtedly, development of smart schools in the country will not be successful regardless of the attitude of the authorities, parents, students and most importantly teachers to this technology. In other words, to succeed in this, determining the factors affecting a positive attitude to technology-based learning is of particular importance because a positive attitude increases motivation and better acceptance of technology as well as active participation in the related activities. Moreover, With a scientific and technological view of the current situation of the country's educational system and producing various electronic content and empowering teachers in the field of information technology it is possible with a long term planning to provide a dynamic ground and bring about structural developments in all dimensions for the educational environment and the teaching-learning process in smart schools. In knowledge-based societies, the development of smart schools is welcomed as a way to train creative and entrepreneurial force and is considered as a way of sustainable development. According to this principle, the entry of our country into this field can provide the ground for increasing and sustainable development.
Technology-based learning environments
S. Seidi; A. Badeleh
Abstract
The purpose of this study was developing standards of making smart schools and the level of respecting to these standards in the schools of Tehran. The study has a mixed design (quantitative and qualitative). In the quantitative section, it is a descriptive survey type. In the qualitative method, it ...
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The purpose of this study was developing standards of making smart schools and the level of respecting to these standards in the schools of Tehran. The study has a mixed design (quantitative and qualitative). In the quantitative section, it is a descriptive survey type. In the qualitative method, it uses documentary and inductive encoding when all the existing documents were studied first, the existing copies were read line by line (open decoding); and then, considering the written words in the documents, the general factors were extracted (canonic encoding); and eventually in the documentation of similarities and differences of the general factors, the main indices were extracted (selective encoding). The population included all 22 smart schools in Tehran in 5 educational districts (i.e. districts 4, 5, 6, 7 and 8) out of which 20 girls’ smart schools were selected by multi-stage cluster sampling. The instrument was a researcher-made standardized check-list to evaluate the standards of having smart schools (direct observation, cooperation of principals, and the IT managers of the schools) and studying the current status of smart schools. The data were analyzed by descriptive statistics and single-group t-test. The results of data analysis showed that the current status of smart schools regarding instructional content and learning is below the standards; the status of the hardware infrastructures and trained teachers is higher than the standards; and the software infrastructure and management are at the average level.
Electronic learning- virtual
A. Soleimangoli; A. Dolati; A. Aminbeidokhti
Abstract
This study was aimed at identifying interaction solutions in improving the teaching – learning process of smart schools in Semnan the method used for this study was exploratory mixed method that first part is qualitative and second part is quantitative. In the qualitative research, in first case ...
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This study was aimed at identifying interaction solutions in improving the teaching – learning process of smart schools in Semnan the method used for this study was exploratory mixed method that first part is qualitative and second part is quantitative. In the qualitative research, in first case 6 persons who are expert in ICT were sampled and they were interviewed in depth method, in second case 24 teachers were chosen in a purposive and snowball methods and they were interviewed in semi-guided method. After content analysis of the obtained results of interviews and deep theoretical study, the researchers developed this results in a form of questionnaire contained 2 sections: 1: demographic information and 2: interaction solutions in improving teaching – learning process of smart schools in the ideal situation and the present situation. Construct and content validity of the questionnaire was determined by experts, and its reliability was calculated using Cronbach's alpha, which in the ideal situation reported 0.85 and in the present situation 0.89.In the quantitative part of the research, questionnaires were completed by 254 teachers, 24 managers, 24 deputies and 8 experts in ICT that they were sampled in a stratified method. The results are shown that " connecting schools to National intranet and creating local network to the school "with the most important which are ranked in the first place. «Mobilization computer mini PC, class mate, thin client or lap top connected to the network lan" is in the second place» Computer integrated communication with other schools that is placed in the third." Active member in the Portals smart schools» in the fourth place of the improving effect of the teaching - learning played roles in the smart schools.
Technology-based learning environments
B. Nazari; J. Poorkarimi
Abstract
Due to the increasing development of information and communication technologies (ICT) in the community and schools, this study aimed to identify the relationship between the use of information and communication technologies (ICT), and students’ academic achievement in smart and regular schools. ...
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Due to the increasing development of information and communication technologies (ICT) in the community and schools, this study aimed to identify the relationship between the use of information and communication technologies (ICT), and students’ academic achievement in smart and regular schools. The population was primary school students in the fifth grade and the sample included 662 students, which determined through cluster sampling was. The Survey was done through the use of questionnaires. The method for how to collect data for the purpose and descriptive survey that collects data for action. The instrument used in this study was a questionnaire made by utilizing ICT validity of its content validity and reliability was assessed by Cronbach's alpha coefficient. Alpha coefficient was calculated to 0.92, indicating a high reliability of research tool is the tool. The results showed that the relationship between academic achievement (previous year and the previous term) and there is no use of ICT (p = 0.251; r = 0.088; r = 0.048, p = 0.534), as well as the use of ICT in the boys significantly higher than girls is the (p = 0.003; t = -2.98) and the use of ICT in schools was significantly higher than conventional schools is the (p = 0.001; t = 3.68).
Technology-based learning environments
R. Movahedi; N. Jamshidi; H. Saadi; A. Yaghoubi Farani
Abstract
The aim of this research is a feasibility study of smart schools program (SSP) in Agricultural Technical High Schools (ATHS) of Kermanshah and Lorestan provinces. For this purpose the current possibilities and conditions of the ATHS have been examined in terms of infrastructural level, users' awareness ...
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The aim of this research is a feasibility study of smart schools program (SSP) in Agricultural Technical High Schools (ATHS) of Kermanshah and Lorestan provinces. For this purpose the current possibilities and conditions of the ATHS have been examined in terms of infrastructural level, users' awareness and the teaching-learning environment. The research typology is a quantitative method through a surveying study. The statistical population was three groups include 1) administrators, 2) the students, and 3) the trainers with a number of 7, 563 and 85, respectively. Of those a number of 7 administrators, 228 students, and 71 trainers were selected as the samples. The data were gathered by research-made questionnaires and the assessment checklists. The questionnaire's questions were confirmed in terms of reliability and validity. The results showed that the level of infrastructure (hardware, software, and financial) as well as the knowledge level of trainers and students to SSP requirements were too low. The results revealed that the teaching-learning conditions to start the SSP at the ATHS were not in a proper status while the attitude of both trainers and students was positive towards the SSP.
Technology-based learning environments
M. A. Rostaminezhad; A. Akhbari; M. Akabri Bourang
Abstract
Iranian educational systems heavily focus on Smart schools and equipping. Based on social-cognitive theory student attitude toward school affect student achievement and motivation. With attention to the importance of student attitude toward technology and schools, this study aims to develop and ...
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Iranian educational systems heavily focus on Smart schools and equipping. Based on social-cognitive theory student attitude toward school affect student achievement and motivation. With attention to the importance of student attitude toward technology and schools, this study aims to develop and validate a questionnaire in order to estimate student attitude toward Smart schools. A sample 305 middle school student from grade 7 and 8 in South Khorasan was selected randomly. Exploratory factor analysis identified 9 factors that explain 62 present of the variance of student attitude toward smart schools. These factors include: attitude towards interactive whiteboard; attitude towards teacher; reluctance to classroom; general attitude towards smart schools; test and feedback; feeling alone in school; student satisfaction from teaching; the impression of school and finally family attitude. The alpha value revealed instrument is reliable (α=0. 89). All Instrument factors can predict 22.5 percent of the variance of students' self-expressed GPA. This questionnaire was recommended to researchers to study and school policy makers for decision making.
Technology-based learning environments
M. Alinejad; N. saeed
Abstract
In the recent years there has been a movement in building smart schools in Iran and according to statistics it is increasingly growing in our country. Since technology can’t improve the learning of students by itself therefore in order to create an environment for students to learn better, special ...
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In the recent years there has been a movement in building smart schools in Iran and according to statistics it is increasingly growing in our country. Since technology can’t improve the learning of students by itself therefore in order to create an environment for students to learn better, special prerequisites are needed; the researchers in the present study aim at investigating the relationship between learning self-regulation with education in smart schools in Tehran. The research using the descriptive-correlation method, by means of a researcher-made questionnaire. The research population (2000 people) and the sample (251 people) of this study, included students of full-smart schools of Tehran. The main question of this study is: what is the effect of the each variable of learner-learner, learner-teacher, learner- content, and self –regulated learning in satisfaction score anticipation of students? Analyzing the research finding of multiple linear regression analysis showed that: two variants of interaction between learner-teacher and self-regulation learning can anticipate the satisfaction variable of education in a positive way. The interaction of learner-teacher variable in showing the educational satisfaction was more than self- regulated learning. Among the interaction subscale, the learner- content subscale with the mean of 2.44 had the highest mean in comparison to the other interaction scale.
Technology-based learning environments
E. Zarei Zavaraki; A. Molazadegan
Abstract
Abstract: The aim of this study is to compare the level of motivation of fifth grade male students in regular elementary schools and smart elementary schools. The design of this study is causal-comparative and the statistical population includes all the fifth grade male students of Tehran’s elementary ...
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Abstract: The aim of this study is to compare the level of motivation of fifth grade male students in regular elementary schools and smart elementary schools. The design of this study is causal-comparative and the statistical population includes all the fifth grade male students of Tehran’s elementary schools. The Organization of Education of Tehran announced that the number of these students is 2225 students. 62 students from regular schools and 62 students from smart schools were selected and compared. The sampling method used in this study is purposive sampling and the reason behind choosing this method was to select those samples that were closest to the standards. Since the previous studies had published good reviews about the reliability and validity the Hermans Achievement Motivation Questionnaire, it was used to measure the level of motivation of students in both regular and smart schools. Finally, the collected data and descriptive statistics including frequency, median, mean and two independent samples t-test were analyzed. This statistical test showed that there is no significant difference between the level of motivation of students in smart schools and regular schools and the comprehensive system of information and communication technologies facilities has not had any influence on increasing students’ motivation.
