نشریه فناوری های آموزشی در یادگیری
پیاپی 20 (تابستان 1402)

The purpose of the present study was to investigate the relationship between authentic leadership and organizational commitment of employees with the mediating variable of job satisfaction in the 4th education and training region of Tehran.In terms of the basic purpose, this research was a method of collecting field data and in terms of the implementation method, it was a descriptive correlation type. The statistical population included all the employees of the Department of Education and Culture of the fourth education and culture region of Tehran, numbering 420 people, using the Karjesi and Morgan table and the relative stratified random sampling method, 201 people as the volume The sample was selected.The data collection tools were the standard questionnaires of Asil Aliu et al.'s leadership style (2007), organizational commitment by Allen and Mayer (2007), and job satisfaction by Smith and Hevlin (1969). The validity of these questionnaires was confirmed by experts, and reliability was calculated through Cronbach's alpha coefficient (0.90, 0.88, 0.86 percent) respectively.The results showed that the explanatory model of organizational commitment based on authentic leadership and job satisfaction is suitable based on the experimental data obtained. Also, the results showed that there is a significant relationship between authentic leadership and the organizational commitment of employees and job satisfaction with the organizational commitment of employees of the 4th district of Tehran.It also showed that there is a significant relationship between authentic leadership and organizational commitment with the mediation of job satisfaction of the employees of the Department of Education,.

The aim of the present study was to investigate the effect of online collaborative learning on cognitive learning levels in the fifth grade students of Gorgan city. The research method was a semi-experimental pre-test-post-test design with a control group. The statistical population includes all fifth grade students of Gorgan in the academic year of 2019-2019, 30 people (15 people in the experimental group and 15 people in the control group) were selected as a sample using the available sampling method and were divided into two experimental and control groups. they got. The desired classes in the happy student network were held simultaneously and asynchronously in a cooperative manner, and at the beginning and end of the teaching process, the level of learning of the students in the experimental science course was measured. The research collection tool included the test of the progress of the teacher's learning levels based on the learning levels and Bloom's classification. Research findings showed that online cooperative learning has a positive effect on students' learning (p<0.05). Online collaborative learning has no significant effect on the level of knowledge, evaluation and creation (P>0.05). Collaborative learning has had a significant and positive effect on the level of understanding, application and analysis (p<0.05). Based on the result, the online collaborative learning method can be used for different subjects and levels of education.

The current research is titled “The relationship between Constructivism and Online Achievement with mediator variables of students Engagement, online Readiness and Learning Climate". The purpose of this study is to determine the modeling of structural equations of achievement in online student learning based on constructivism and mediating variables. The statistical population in the present study is all the students studying bachelor's and master's courses who have registered in the virtual courses of higher education and have passed at least the final exam of one academic semester in the virtual course (LMS course), and using the internet and registration Name in Google, the questionnaires were made available to the students by the researcher, used in the final calculations. The measurement tool is a 5-item questionnaire, which was verified and applied. According to the research findings, the results of the path analysis show that "The ultimate model of online learning achievement has been achieved." In this model, the variable of constructivism indirectly effect and through the three variables of students' engagement, online readiness and climate, it has an effect on the variable of achievement in online learning.

Mobile game-based learning (MGBL) can be defined as a game for learning purposes utilizing mobile technologies for a gaming platform. The present study was conducted with the aim of the effect of mobile game-based learning on the learning rate and motivation of students in the labor and technology course. The research method is in the framework of survey studies. The statistical population included all male students in the ninth year of the first period of Damghan high school in the academic year of 2019-2020, 549 people, of which 40 people were selected by the available sampling method. The tool for collecting information is a questionnaire made by the researcher, which includes a questionnaire measuring the amount of learning with a reliability calculation based on Cronbach's alpha 0.71 and a questionnaire measuring the level of motivation with a reliability calculation based on Cronbach's alpha 0.89. Also, the farm simulator game was used to measure the effectiveness of the mobile game. The content validity of the questionnaires was determined with the help of experts. The data were used with the help of descriptive tests and inferential MANCOVA statistics. The results showed that mobile game-based learning had a significant effect on students' learning and motivation. From the obtained results, it can be concluded that mobile game-based learning has a positive and significant effect on students' learning. This approach has significant potential on students' motivation in a way that increases students' interest and students show more effort and effort for the excellent performance of the activity.

Concept maps are one of the teaching and learning strategies that bring meaningful learning to the learner by activating them. The research aim was to identify, explain and phenomenologically analyze teachers' lived experiences with using the conceptual map on instruction. The research approach was qualitative and phenomenological. The research population was the teachers in the second section of the elementary school in Birjand city, who participated in the research through a semi-structured interview through purposeful criterion-based sampling. The interviews were continued until the theoretical saturation was reached. Then, data was examined using the seven-step Claysey methodology. After removing similar items and formulating concepts, the results led to the extraction of 600 sub-concepts. The results were classified under four main categories and 12 subcategories. The main categories focus on four areas: 1) education, 2) learning, 3) design and program and 4) evaluation. Utilizing concept maps in teaching and emphasizing student-centeredness and using the capacity of groups and working groups can help learners in the growth and development of students' creativity and achieve sustainable and deep learning, and also increase the effectiveness of teachers' teaching

The purpose of this research is to identify the applications of Internet of Things and artificial intelligence in smart educational environments in order to increase the quality and educational innovations. The current research method is qualitative and its strategy is meta-Synthesis. The research statistical population, valid scientific studies from 2018 to 2023 were in the field of education. At first, using the keywords "Internet of Things Applications", "Artificial Intelligence Applications", "Internet of Things in Education", "Artificial Intelligence in Education", "Smart Education" and "Technology in Education" and based on the entry criteria, 1025 researches They were scientifically identified and then, according to the exclusion criteria, finally 56 articles were entered into the final analysis stage. Sandelowski & Barroso's model of six stages was used for the qualitative analysis of the documents. In order to increase the reliability of the results, Cohen's kappa coefficient was used, and the agreement between the two coders was 0.846. Finally, 15 components were identified, in the dimension related to the Internet of Things with 8 components including; 1-Library management,2-Attendance monitoring,3-Space reservation management,4-Building energy management of educational environments,5-Security and safety, 6-Health and satisfaction monitoring of learners,7-Smart classroom and education, and 8-Automation and in the dimension related to artificial intelligence with 7 components including; 1-Prediction,2-Smart teaching systems,3-Assessment and evaluation,4-Adaptation and personalization systems,5-Teacher robot and chat bot,6-Visualizations and 7-Blockchain. Also, the conceptual model of Internet of Things and artificial intelligence applications in smart educational environments was identified.