Design and validation of mobile education service model for mobile learning (ML)

The purpose of this study is to design and validate a mobile learning (ML) school student education service model. The research method is integrated and qualitative and quantitative. The statistical population in the qualitative section included university professors, experts in the field of transportation, and Rahvar police, numbering 30 people. Purposeful sampling was done through the interview process and the data collection tool, in addition to the interview, was a researcher-made questionnaire consisting of 57 questions according to Khan e-learning model, which was finally confirmed after validity (judgment of experts and professors) and reliability (alpha calculation). Cronbach (0.92) entered the quantitative section in which the statistical population was determined by Morgan (1972) table 389 people (out of 560 participants) who were selected as the sample size by simple random sampling.The collection tool in the quantitative section was a 29-item researcher-made questionnaire based on Khan model for taxi and school service drivers, which was distributed among school and taxi drivers after verifying the validity. Descriptive and inferential statistical methods were used to analyze the data. In descriptive statistics, the central index and dispersion such as mean, standard deviation and in the inferential part of exploratory and confirmatory factor analysis at 95% confidence level with SPSS software. S18 and PLS version 3 were performed