Students' Acceptance of Mobile Learning

2020 ◽  
pp. 354-373
Author(s):  
Xiaoqing Li
Keyword(s):  
Mobile Learning ◽  
Rapid Development ◽  
Learning Systems ◽  
Mobile Users ◽  
Learning Approach ◽  
Key Factors ◽  
Mobile Learn ◽  
Design And Implementation ◽  
Research Findings ◽  
Key Issues

With the rapid development of telecommunications, mobile learning is appearing as a promising learning approach for students to learn anytime anywhere. However, many key issues regarding the design and implementation of mobile learning are still unclear. This research investigates key factors leading to the acceptance of mobile learning based on students' use of Blackboard Mobile Learn. The research findings will help instructors to design courses for mobile users and system developers to design better mobile learning systems.

Students' Acceptance of Mobile Learning

2017 ◽  
Vol 9 (1) ◽  
pp. 52-69
Author(s):  
Xiaoqing Li
Keyword(s):  
Mobile Learning ◽  
Rapid Development ◽  
Learning Systems ◽  
Mobile Users ◽  
Learning Approach ◽  
Key Factors ◽  
Mobile Learn ◽  
Design And Implementation ◽  
Research Findings ◽  
Key Issues

With the rapid development of telecommunications, mobile learning is appearing as a promising learning approach for students to learn anytime anywhere. However, many key issues regarding the design and implementation of mobile learning are still unclear. This research investigates key factors leading to the acceptance of mobile learning based on students' use of Blackboard Mobile Learn. The research findings will help instructors to design courses for mobile users and system developers to design better mobile learning systems.

scholarly journals Mobile learning student worksheet based on socio-scientific-issues: Enhancing students’ scientific literacy skills in biology

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Aga Arizen ◽  
S. Suhartini
Keyword(s):  
Science Teachers ◽  
Mobile Learning ◽  
Scientific Literacy ◽  
Rapid Development ◽  
Literacy Skills ◽  
Learning Activity ◽  
Biology Teaching ◽  
Teaching Activity ◽  
Research Findings ◽  
Addie Model

The 21st-century science and technology rapid development requires suitable educational tools to meet the expected learning outcomes desired. This study aimed at producing a mobile learning student worksheet based on Socio-Scientific-Issues (SSI) which is feasible to use in biology teaching activity as well as finding out its effectiveness in enhancing students' scientific literacy skills. This study research and development (R&D) used the ADDIE model. The effectiveness test of mobile learning student worksheet in enhancing students’ scientific literacy skills was done by using a one-group pretest-posttest design. The research findings indicated that the developed mobile learning student worksheet based on SSI is feasible to use in biology teaching activity and become the considerable tool in enhancing students’ scientific literacy skills based on the n-gain score of 0.75 (high category). Thus, it is suggested for science teachers, particularly biology teachers, to adopt this tool to support the learning activity they conduct.

scholarly journals Research on User Experience of Mobile Learning System Based on WeChat

2021 ◽  
pp. 55-66
Author(s):  
Lei Peng ◽  
Keyword(s):  
Mobile Learning ◽  
User Experience ◽  
Learning Systems ◽  
Learning System ◽  
Experience Design ◽  
Key Factors ◽  
User Experience Design ◽  
Authentication Technology ◽  
Mobile Learning System ◽  
Development Practice

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.

Intelligent Mobile Learning Systems for Learners with Style

2013 ◽  
pp. 131-149 ◽  
Author(s):  
Tracey J. Mehigan ◽  
Ian Pitt
Keyword(s):  
User Interface ◽  
Learning Environments ◽  
Learning Style ◽  
Mobile Learning ◽  
Learning Systems ◽  
Interface Model ◽  
User Models ◽  
Learning Content ◽  
Research Findings

This chapter discusses the development of intelligent personalized user models for mLearning. Previous research findings are reviewed, indicating that it is possible to identify aspects of a user’s learning style though biometric technologies. A user interface model is presented, designed to intelligently detect the learning-style of individual’s using a mobile learning environments and adapt learning content accordingly. The application of the model to a mLearning system is described.

Program-Target Budgeting as a Tool for Investment Stimulation of Business

2018 ◽  
Vol 11 (3) ◽  
pp. 77-82 ◽  
Author(s):  
A. I. Masterov
Keyword(s):  
Current Practice ◽  
Negative Impact ◽  
Key Factors ◽  
Economic Sectors ◽  
State Budget ◽  
Research Findings ◽  
The Subject ◽  
Program Budgeting ◽  
Large Investment ◽  
Stimulation Of

The paper discusses the use of the program-targeted budgeting methodology in the investment stimulation of business in the most problem sectors of the economy. The subject of the study is the dynamics of business activity in key economic sectors adversely affected by factors of the economic and geopolitical nature. The purposes of the study were to identify the key factors that have a negative impact on economic growth and seek options for investment stimulation of business activities in the most problem sectors of the economy using state budget funds. It is concluded that the current practice of budget investment is associated with significant risks and poor justification of investment decisions. Therefore, the American practice of the program budgeting in the implementation of large investment infrastructure projects using budget funds seems to be advantageous. Based on the research findings, methods for increasing the effectiveness of program-target budgeting tools under the Russian conditions are proposed.

The Scoping Review of Smart Healthcare Applications in Medical Health (Preprint)

2020 ◽  
Author(s):  
Cheng Hang Wu ◽  
Ching Ju Chiu ◽  
Yen Ju Liou ◽  
Chun Ying Lee ◽  
Susan C. Hu
Keyword(s):  
Systematic Reviews ◽  
Mobile Health ◽  
Scoping Review ◽  
Search Strategy ◽  
Rapid Development ◽  
Related Research ◽  
Geographic Access ◽  
Smart Healthcare ◽  
Research Findings ◽  
Healthcare Interventions

BACKGROUND There is still no consensus on research terms for smart healthcare worldwide. The study conducted by Lewis 10 years ago showed extending geographic access was the major health purpose of health-related information communication technology (ICT), but today's situation may be different because of the rapid development of smart healthcare. Objective: The main aim of this study is to classify recent smart healthcare interventions. Therefore, this scoping review was conducted as a feasible tool for exploring this domain and summarizing related research findings. OBJECTIVE The main aim of this study is to classify recent smart healthcare interventions. Therefore, this scoping review was conducted as a feasible tool for exploring this domain and summarizing related research findings. METHODS The scoping review relies on the analysis of previous reviews of smart healthcare interventions assessed for their effectiveness in the framework of a systematic review and/or meta-analysis. The search strategy was based on the identification of smart healthcare interventions reported as the proposed keywords. In the analysis, the reviews published from January 2015 to December 2019 were included. RESULTS The number of publications for smart healthcare's systematic reviews has continued to grow in the past five years. The search strategy yielded 210 systematic reviews and/or meta-analyses addressed to target groups of interest. 68.5% of these publications used mobile health as a keyword. According to the classification by Lewis, 37.62% of the literature was applied to extend geographic access. According to the classification by the Joint Commission of Taiwan (JCT), 48.84% of smart healthcare was applied in clinical areas, and 60% of it was applied in outpatient medical services. CONCLUSIONS Smart healthcare interventions are being widely used in clinical settings and for disease management. The research of mobile health has received the most attention among smart healthcare interventions. The main purpose of mobile health was used to extend geographic access to increase medical accessibility in clinical areas. CLINICALTRIAL none

Co@N-CNT/MXene in situ grown on carbon nanotube film for multifunctional sensors and flexible supercapacitor

Nanoscale ◽  
2021 ◽  
Author(s):  
Qiufan Wang ◽  
Jiaheng Liu ◽  
Guofu Tian ◽  
Daohong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Carbon Nanotube ◽  
Energy Storage ◽  
Storage Systems ◽  
Rapid Development ◽  
Human Machine Interface ◽  
Key Factors ◽  
Flexible Supercapacitor ◽  
Machine Interface

The rapid development of human-machine interface and artificial intelligence is dependent on flexible and wearable soft devices such as sensors and energy storage systems. One of the key factors for...

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