Towards a New Mobile Educational Model

The development of mobile technologies and wireless networks encourages more research on Mobile Learning. Reviewing irregular verbs on a bus or organizing a training schedule on a Smartphone is becoming more common today. Mobile learning complements and enhances existing learning systems. Its development has been slowed in the early 2000s by both technical limitations and lack of dedicated teaching models. This article focuses on educational issues and proposes a solution by adopting the Method for Engineering Learning Systems MISA. Our work aims to identify basic elements, key characteristics and dimensions for developing the appropriate content for mobility. These elements are the basis for customization of the MISA method. Indeed, the different steps of MISA are governed by operating principles which ensure greater consistency and flexibility. Taking into account the specifications of Mobile learning in the development of these principles, we can adapt MISA to design a mobile learning system.

MOBILE LEARNING FOR PHYSICAL EDUCATION STUDENTS IN VIETNAM: PROMISES AND CHALLENGES

The rise in mobile learning has seen an impressive increase as smartphones and tablets have increased in popularity in recent years. The cheap, easy access to these devices for students contributes to the need for use for educational and learning purposes. This trend is no exception for physical education. This study surveyed 125 physical education students in 4 badminton classes from 2018 to 2020 to evaluate their readiness for mobile learning in terms of hardware devices, technology skills, learning styles, and habits. Data coming from questionnaires in the courses and server logs of a mobile learning system show that the majority of physical education students in the study are ready for mobile learning despite some challenges regarding internet infrastructure and lack of formal online learning skills training. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0731/a.php" alt="Hit counter" /></p>

Telepresence and Interactivity in Mobile Learning System: Its Relation with Open Innovation

Mobile learning applications enable people to spend fragmented time to improve their knowledge and competitiveness. Enterprises aim to design innovative applications and create a new learning mode for the public, and the open innovation strategies may help companies achieve their goals. In the current study, the English learning application “LAIX” was investigated, and an online survey was used to obtain data from 289 university students in Guangzhou. This study combines the technology acceptance model (TAM) with flow theory (FT), investigating the psychological experience factors and the system characteristics that influence users’ behavior intentions. The exploration of perceptual variables will promote the establishment of an open innovation model of mobile learning applications. The aim of the study was to establish a theoretical framework to more deeply explore users’ intentions in mobile learning applications. Structural equation modeling (SEM) was used to help measure the relationship between variables and determine the model fit. This research reveals that telepresence is the most important variable that impacts user intentions to use mobile learning applications. In addition, the mediating effect of the flow experience was tested. Telepresence and interactivity indirectly influence behavioral intention through the variable “flow”. Users appear to be more concerned with the flow experience, which shows the highest correlation with intention to use the application. This study may assist companies to innovate system characteristics and improve customers’ user experience, for instance, by integrating virtual reality (VR) technology into the mobile learning system to improve their open innovation level and market popularity.

Research on User Experience of Mobile Learning System Based on WeChat

Based on the theory of user experience design,this paper analyzedthe key factors of mobile learning systemuser experience based on WeChat, and with the development practice of "mobile micro-classroom system" it also analyzedthe roles that technology of Responsive Mobile Webpage, OAuth authentication technology, WeChat template message technology, and WeChat JS-SDK technology played in improving the user experience of a mobile learning system. Questionnaires method have been used to analyze the applying effect of the system. In conclusion, the users were satisfied with their experience in mobile learning, and insights in the development of mobile learning systems are also summarized.