جستجوی مقالات مرتبط با کلیدواژه « یادگیری سیار » در نشریات گروه « فناوری اطلاعات »

research method; The quasi-experimental type was pre-test-post-test with a control group. The statistical population included all the students with attention deficit hyperactivity disorder in the secondary level of the 2nd education region of Tehran, numbering 476 people. Using available sampling method, 40 male students with attention deficit were selected as samples. By using the Connors Parent Form Questionnaire (2004) and by examining the students' files with the cooperation of school administrators; 12th grade students were diagnosed with attention deficit-hyperactivity disorder. After the assimilation caused by the implementation of the pre-test, the questionnaire of reflective learning and cognitive learning, the present sample was randomly replaced in two groups of 20 people, test and control; The data collection tool included the reflective thinking questionnaire of Kamber et al. Data were analyzed using SPSS25 software. In order to analyze the data, descriptive (mean and standard deviation) and inferential (covariance analysis) statistics were used. The results of the research showed that education through mobile technology has a significant effect on cognitive learning and cognitive strategies of repetition or review, expansion or expansion and organization of hyperactive primary school students(F=6.074 and p≤0.05).

role in COVID-19 crisis is mobile learning. Mobile learning has emerged as a powerful tool in teaching and learning which is considered as one of the beneficial and practical solutions to prevent the closure of the universities. Despite the significance of mobile learning as a tool that has changed the learning strategies by helping the learners to manage their learning with a flexible approach and to provide new horizons in the field of education system, it has its own challenges. Therefore, identifying these challenges can help provide solutions and make the most of technology in the teaching-learning process. Accordingly, the present study has identified the challenges of mobile learning from the perspective of students.

The present study is applied in terms of purpose and phenomenological in terms of qualitative approach. The target population were undergraduate, graduate and doctoral students of Al-Zahra University who had some experiences in using cell phones for e-learning. Accordingly, after utilizing purposive sampling, 32 students were interviewed until the theoretical saturation was reached. To analyze the interviews, the Colaizzi content analysis method was used. To validate the data, peer review method was applied and the reliability was checked through using the two-coder agreement which was equal to 86 between two codes.

The findings showed that out of 315 extracted codes, 68 codes were dedicated to physical challenges, 35 codes to psychological challenges, 31 codes to quality learning challenges, 63 codes to hardware challenges, 52 codes to infrastructure challenges, 39 codes to skill challenges, and 27 codes to supportive challenges. Physical challenges include: headache and dizziness, extreme eye fatigue, exacerbation of neurological diseases and sleep disturbance. Psychological challenges include: stress and anxiety, depression and hopelessness, and lack of concentration and distraction. Hardware challenges include: keyboard problems, battery and charging problems, microphone and audio problems, file download problems, IC problems, and low mobile memory problems. Infrastructure challenges include: poor internet and facilities and equipment. Skills challenges include individual skills. Learning quality challenges include: quality of teaching and research. Supportive challenges included: organizational support, family support, and faculty support.distributional injustices, and that many students in disadvantaged areas have encountered serious challenges in attending virtual classes and conducting educational and research work. Since for most students using a mobile phone is the only option for attending virtual classes, it is recommended to eliminate or reduce physical challenges through scheduling classes at regular intervals, using brightly colored slides, combining text, videos, and using a combination of online and offline techniques. To meet the infrastructure challenges, it is recommended to use free high-speed Internet and also to purchase or rent powerful servers to provide e-learning services. University funding and the purchase of appropriate facilities including computers and mobile phones can help address many of the hardware challenges. To address skill challenges, training skills in working with educational software and academic messengers and holding various introductory and advanced workshops are essential for students. Moreover, to address supportive challenges, it is suggested that the universities seek financial resources from various organizations and charitable support and allocation of appropriate budget; after identifying low-income and underprivileged students, low-interest loans or grants should be allocated to these students for buying computers and mobile phones and by providing underprivileged students with free loans the supportive challenges can be overcome more than before. Also, instructors should understand the students' conditions by identifying the mentioned students in their classes and deal with them with more flexibility and educational aids. The families’ understanding of the educational conditions and providing a convenient environment and facilities to the best of their abilies can minimize psychological challenges to the least. Despite the fact that paying attention to infrastructure and hardware challenges as a prerequisite for the quality of learning is crucial, to meet the challenges of quality learning, solutions such as allocating useful activities to increase students' learning, doing teamwork with a fair division of tasks to avoid the pressure of work on students, appropriate and timely feedback from instructors, and a variety of written and oral assignments are highly recommended. Finally, it can be noted that by overcoming these challenges, the psychological challenges of stress and frustration in students will also be alleviated.

The purpose of this study was investigate The effect of training through augmented reality on learning the Lesson Social studies elementary students in 6 the grade. the type of research is quantitative for data collection of the semi - experimental study. the subjects were selected 120 students through multi - stage cluster sampling method in groups of control (traditional teaching) and the experimental group (training with the help of augmented reality) were selected .Data collection by the researchers made exam for academic progress with 25 questions in three occasions. The reliability of the test was also obtained by Cronbach 's alpha 0.86 which indicates good reliability of the questions. the repeated measure test was performed in order to study the learning extent of students who showed the superiority of the teaching method to the help of augmented reality, but augmented reality did not significantly affect the learning of girls and boys.

The learning approach at any time and any place that is used to promote e-learning and as a model of e-learning refers to the acquisition of knowledge, attitude and skills using mobile technologies. The purpose of this study was to investigate the effect of mobile learning based education on students' self-efficacy, self-control, self-regulation, and academic performance. This research was a quasi-experimental study with pretest and posttest design and experimental and control groups. The statistical population consisted of all 855 female secondary school students in District 1 of Sari city. 47 students were selected by multistage cluster sampling method. Experimental learning-based learning was administered to the experimental group. Pre-test and post-test questionnaires were self-efficacy questionnaires of Scherrer and Maddox (1982), Tajani et al. (2004), Pintrich & DeGrott (1990) and Fam & Taylor (1999). Data were analyzed using ANCOVA test. The findings showed that mobile learning-based education had an effect on students' self-efficacy, self-control, self-regulation, and academic performance.

Mobile learning is a subset of e-learning and focuses on the use of portable learning tools. This method of learning allows learning regardless of time and place. In learning, students are able to learn from a variety of sources around the world. This enrichment leads to effective and meaningful learning. In addition, learners in this environment can change their learning environment and use a variety of learning experiences. The role of social (communication) and managerial processes (teaching and classroom skills) is also important in this regard. The purpose of this research is Impact use of education model based on mobile learning environments on Social peresence and teaching peresence for Smart schools students in mathematical lesson.

in this research goal, a mixed methods research was used. In this research we used quasi-experimental with pre-test and post-test design with control group. Research statistical population included all girl students studying in Tehran Smart schools. In order to select the sample size using multi-stage cluster sampling method from among smart schools in Tehran, one school was selected and finally 15 people were in the experimental group and 15 people in the control group. Multivariate analysis of covariance was used to test the first and second hypotheses of the study.

The results showed that the application of this model was effective on all dimensions of social presence and teaching presence in the experimental group compared to the control group (in the post-test).

. The present study was conducted to investigate the effect of the application of mobile learning model based on social presence and attendance of smart school learners in mathematics. The results of the analysis of research data indicate that the application of mobile learning model has a positive effect on social presence and the presence of smart school students teaching in mathematics. Students in the mobile learning management system scored higher than the other group trained in the traditional environment. This indicates the effectiveness of the environment designed for mobile learning in terms of social presence and teaching.

This research was conducted to investigate whether mobile learning based on Gagne's instructional design has any effect on university student's self-regulated learning strategies. A quasi-experimental study with pretest-posttest design and a control group was applied as the method of research. The statistical population included all the students of Educational Sciences with Educational Technologies subfield at the University of Arak who were 45 people. Sample consisted of students who take the course of Introduction to Computer Skills. Convenience sampling was used in the study. The sample size was 34 students. Using a researcher made questionnaire, the degree of student's expertise and familiarity with computer-based technology was measured. After determining the level of each person and presenting the required training, all individuals matched and met the baseline, then randomly assigned to two groups of 17 people. In order to collect data, Pintrich and DeGroot self-regulated learning strategies questionnaire was employed which contains subscales of cognitive strategies (rehearsal, elaboration, organizing and understanding) and metacognitive strategies (planning, monitoring and regulating). In order to inferential analysis the data, covariance analysis was used. The results showed that mobile learning based on Gagne's Instructional Design Model generally increases the self-regulated learning strategies of students, but there were no significant differences between the groups in sub-components of the understanding, planning and regulating.

In M-learning, learning takes place in natural environments and educational messages are transmitted electronically. Hence, the purpose of this study was investigating the level of application and usefulness of mobile learning (devices and applications) among university students.  It is a descriptive quantitative study. The population included graduate students of Educational Sciences, Mechanical Engineering and Architecture of University of Tehran; and Hygiene of Iran University. 268 students were selected by stratified random sampling. Data were gathered by a valid and reliable researcher-made questionnaire with 21 items. The data were analyzed through descriptive statistics and one sample t-test, Anova and Scheffe test. The results of data analysis showed that familiarity, application and utility of the tools and applications of mobile learning are slightly lower than the mean among students. Students’ familiarity and application of mobile learning were found to be significantly different. The greatest difference was found to be between students of educational sciences and architecture. No significant difference was found between the students considering the efficacy of mobile learning. It can be concluded that university students of different majors use mobile learning (devices and applications) differently based on their field of study.

Increased concern about environmental issues and the need to respond to the international community and the integration of education and research programs on knowledge created. The use of ICT in education and training systems and the training program is active. The role of modern education for effective participation in the third millennium draws. This study aimed to assess factors affecting the implementation of mobile learning in environmental education programs. The research method was descriptive-analytic research is based on forecast. The population of students in Tehran during the 1394 school year. The stratified cluster random sampling was stratified, and ninth grade students from 12 area schools were selected randomly to 350 people. To collect data, a questionnaire was developed by Cheon and his colleagues. To determine the validity of the opinions of experts and Cronbach's alpha reliability coefficient was used. Data analysis was performed with SPSS and LISREL8.8. Path analysis results showed that all variables except the variable ease of understanding with attitude and independence of learning there is a significant relationship perceived behavior control.

The present study investigated the effect of education via M-learning on learning, retention and progress motivation comparing it with traditional methods. This study was quasi-experimental with pretest-posttest design with control group. The statistical population included students of hydrology engineering at agriculture faculty of Kermanshah Branch, Islamic Azad University (N= 74). Through Cochran formula, 38 of the participants were selected as the study sample. Before conducting the test, the learning pre-test and Herman's questionnaire were used for both groups in similar conditions. After three weeks, the post-test for learning and progress motivation were administered and after one month, the retention test was administered to both groups. The findings were analyzed using descriptive statistics and independent t-test. Data were analyzed using SPSS software. The results of this study showed a high level of learning and retention in M-learning than traditional methods. But, the motivation for progress in traditional methods was higher than M-learning.

The aim of this research was to determine the rate of using cell phone for educational and general purposes by postgraduate and PhD students of the University of Tehran. To obtain this goal، using a descriptive survey method، students'' opinions were investigated. The statistical population consisted of 12933 postgraduate and PhD students of Tehran University، among whom a sample of 516 students were selected based on the stratified random sampling method. The data collection tool was a researcher-made questionnaire، the validity of which had been calculated by e-learning experts and supervisors. Its reliability was calculated 0. 84 using Cronbach alpha coefficient. For data analysis، Kolmogorov-Smirnov، ANOVA، and Kruskal-Wallis tests in SPSS software were used. The findings showed that the rate of using mobile capabilities and features for general and educational purposes by the students was less than the average rate، and only in some capabilities، such as audio، SMS and call for general purposes was more than average. Other findings showed that general use of mobile phones was different between students based on educational degree and fields of study. Also، there was not a significant difference among educational subgroups in the usage of mobile phone capabilities and features for educational purposes. Therefore، faculty members are recommended to change their traditional approaches in teaching-learning activities to encourage more the student community to use mobile technologies for educational purposes.

One of the models that presented in M-learning quality system field is TRA model, which focused on detecting effective factors on mobile learning system at Amirkabir University. We made questionnaire based on Students’ Behavioral parameters against mobile learning which distributed. According to those results, we found a meaningful and direct relation with purpose of mobile learning at this University and each of three effective factors on this model. Therefore, the most factors which effect on functions of mobile learning purposes are supposing mobile learning, tendency to mobile learning and behavioral control. Among these effective variables based on TRA model, supposing and awareness of learner are the most important one.

Nowadays, the vehicle of education is changing from the traditional form into mobile learning. The present study is performed with the general objective of determining the role of mobile learning in the educational communications between agricultural cooperatives. This study is a quantitative research, non experimental and in terms of the objective is an applied research. The participants of this descriptive-survey include managers and board of directors of agricultural cooperatives of Zanjan province. Among a population of 900, 176 participants were selected based on Cochran formula and through stratified random sampling. The main instrument of the research for collecting data was a questionnaire. The results showed that among the problems of the current learning system in agricultural cooperatives the lack of technical education, educational participation and motivating factors have a high priority. In this research the most important capability of mobile learning system is the modification of some of the problems such as low quality and quantity of education, the lack of motivating factors and participation in education. Regarding the results of the research, sending questionnaires and receiving information and news through SMS, sending questionnaires and receiving information through MMS and sending questionnaires and receiving information and news through SMS, Bluetooth and Communicative phone respectively have more capability for education of the members of agricultural cooperatives, members of broad members and employee of cooperation office.