Research of Mobile Learning System Equipment Environment

2011 ◽  
Vol 271-273 ◽  
pp. 1272-1278 ◽  
Author(s):  
Hai Guang Fang ◽  
Min Liu ◽  
Xiao Chun Wang

The diverse development of mobile terminal equipment and wireless networks makes more people choose mobile Learning, and how to select the appropriate equipment environment to support learning activities has become confusion in research and practice of mobile learning. In this paper , The terminal equipment and network access of mobile learning system environment are collectively referred to as mobile learning system equipment environment, it will separated describe the classification and characteristics of different mobile terminals and wireless network in detail, build an universal mobile learning system equipment environment model, have specific instructions of common mobile learning equipment environment based on this model, and the choice of mobile learning system equipment environment of existed typical mobile learning application cases home and abroad are classified and summarized. Finally, it will prospect the development of the future of mobile learning equipment environment.

2014 ◽  
Vol 687-691 ◽  
pp. 2929-2932
Author(s):  
Yin Lei ◽  
Jia Hong Zhong

In the mobile Internet era, in order to learn whenever and wherever possible, we design a mobile learning system based on Android platform. With the key technologies introduced, we design the overall architecture, structure layer and system flow of the mobile learning system, and further design some function modules.


Tech-E ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 42
Author(s):  
Paulus Yayan Christian ◽  
Wiyono Wiyono

Teaching and learning activities, especially in Higher Education, from time to time develop along with the development of technology, especially information technology. Initially, the teaching and learning activities at the Faculty of Science and Technology of the Buddhist Dharma University (FST-UBD) used a manual system in the form of face-to-face class. The system (for several courses and meetings) developed into distance learning (e-learning) where lecturers and students did not meet in teaching and learning activities in the classroom but through the internet media. This distance learning system uses computer or laptop facilities. The e-learning system was developed into a mobile learning system, which is a distance learning system using an Android-based smartphone. In the mobile learning system, lecturers can provide lecture material and assignments to students. Students can view lecture material via cellphone and can download the material. Students can submit assignments to lecturers via cellphone. The University can provide information about the seminar to be held. Students can choose the seminar to be followed and can register for the seminar via cellphone. This application system can be run well and can help facilitate the process of teaching and learning activities for lecturers and students. Lecturers can upload material and assignments for students. Students can view / download material and submit assignments to the lecturer. The university can provide information about the seminar and the seminar registration process.


Author(s):  
Wu-Yuin Hwang ◽  
Yueh-Min Huang ◽  
Rustam Shadiev ◽  
Sheng-Yi Wu ◽  
Shu-Lin Chen

<p class="Abstract">This study designed learning activities supported by a mobile learning system for students to develop listening and speaking skills in English as a foreign language (EFL). How students perceive learning activities and a mobile learning system were examined in this study. Additionally, how different practices relate to students’ language proficiency was also explored. It was found that students had positive perceptions and intentions toward learning activities; thus, students were motivated to practice English skills more when using a mobile learning system. The results demonstrated how students’ speaking and listening skills practices using mobile devices had different correlations depending on their proficiency levels. For example, listening diversity, defined as the number of other classmates a student listened to, was found to have an inverse correlation with speaking and listening proficiency. This finding does not support previous research and indicates that students who carefully selected their listening partners performed better than those who did not. It was further found that the better students performed in English learning, the fewer partners they would choose. EFL instructors can use the insights of this study to design more effective language learning activities for students using mobile devices.</p><p class="Firstparagraphstyle"> </p>


Author(s):  
Na Wei ◽  
ZhongWu Li

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.


2011 ◽  
Vol 271-273 ◽  
pp. 1160-1163
Author(s):  
Yan Xin Hu

Introduced the mobile learning content, analyzed the basic features of mobile learning, designed mobile leaening system based on campus, and each function module of mobile learning system.


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