إدراك طلاب الجامعة للتعلم المتنقل وأهم أدوات التقنية المستخدمة: تحليل متعدد لمكونات (hardware)، والبرامج، ومصادر شبكة الإنترنت، ومستوى المهارة ومعدل الإستخدام
The present study aimed through Multiple Analyses using Partial Least Squares Model (PLS) to identify the role of types of technology (Hardware Component, Software Component, and Internet-based Resources Component), personal skill level and frequency of technology use on mobile learning perception among a random sample of students from University of Hail, as well as to identify the contribution of these components, and their predictive ability to recognize students for mobile learning perception. The study also aimed to determine the difference of demographic variables (Sex, Place of Residence, and the Level of Economic Income) on mobile learning perception and the interaction effect between these variables on the perception of mobile learning. The PLS results extracted ten components explaining 18% of the data. The Prediction Ability (Q2) and the Goodness of fit (R2) were 6% and 11%, respectively. The highest contributors to the mobile learning were repeated use, personal skill Level, WhatsApp groups, learning resources, social communication sites, and comments on internet, and skype & video-conference, respectively. The results showed also no statistically significant differences between the demographic variables on perception of mobile learning except for the Place of Residence on one dimension of the perception of mobile learning (Effective Mobile Learning), as well as no interaction effect among demographic variables was found except for Place of Residence and Level of Economic Income. (Published abstract)