scholarly journals Rancang Bangun Aplikasi Mobile Learning Client Server Berbasis Moodle Pada Platform Android Untuk Materi Training Tenaga Pemasaran Di Miracle Agency Cabang Bangka

2015 ◽  
Vol 4 (2) ◽  
pp. 63
Author(s):  
Ode Riski ◽  
Delpiah Wahyuningsih

Miracle Agency cabang Bangka merupakan Kantor Pemasaran Mandiri (KPM) dari PT. Prudential Life Assurance yang bergerak dalam bidang asuransi yang berada di Jl. Alexander blok 9 & 10 A commercial area citraland dan memliki lebih dari 300 tenaga pemasaran. Sistem training yang digunakan oleh Miracle Agency cabang Bangka untuk tenaga pemasaran adalah dengan pembelajaran secara konvensional, maka antara pengajar dan peserta melakukan pertemuan secara langsung yang berada pada ruang fisik yang sama. M-Learning adalah metode pembelajaran dengan menggunakan teknologi informasi yang dapat membantu peserta training dalam mempelajari materi training tanpa harus mengikuti pertemuan secara langsung. Aplikasi mobile learning client server berbasis moodle pada platform android adalah suatu solusi untuk menyelesaikan berbagai permasalahan pada Miracle Agency yang merupakan Kantor Pemasaran Mandiri (KPM) dari PT. Prudential Life Assurance karena dengan mobile learning dan smart phone sebagai media penghubung, peserta training atau tenaga pemasaran dapat dengan mudah mengakses topik materi tanpa harus mengikuti training sebelumnya. Dapat disimpulkan dengan menggunakan aplikasi mobile learning ini sistem pembelajaran akan dapat dilakukan secara mudah,efisien dan tentunya dengan cakupan waktu yang lebih luas.

2020 ◽  
Vol 36 (1) ◽  
pp. 38-42
Author(s):  
Olafimihan Cecilia Oyebola ◽  
Atanda Luqman Ayanlola

The paper discusses the effect of mobile learning on students, especially the tablets and smartphones. Theses gadgets have become a research interest of education to encourage and facilitate learning. Mobile devices assist in build closer connection between students and teachers. There are several options of mobile devices such as Ipod, personal digital assistant, smart phone, laptop or tablet PC, MP3 Players, pen drive and so on. Mobile learning involves the use of mobile technology either alone or combination with other information and communication technology (ICT). The benefits of mobile learning expand the reach and quality of education, facilitate personalized learning, power anytime, anywhere learning, provide immediate feedback and assessment, ensure productive use of time spent in classrooms, build new community of students, support selected learning, enhance seamless learning, bridge formal and informal learning, improve communication and administration, maximize cost efficiency and update policies related to mobile learning. It is concluded that the benefits overshadow the challenges. Using mobile devices allow students to extend learning beyond the classroom walls. Students are highly engaged and are able to demonstrate unique and creative way to respond to the use of technology that offers some distinctive affordance to users.


Author(s):  
Dongshuo Wang ◽  
Bin Zou ◽  
Minjie Xing

Language learners at all levels need a way of recording and organising newly learned vocabulary for consolidation and for future reference. Listing words alphabetically in a vocabulary notebook has been a traditional way of organising this information. However, paper-based notes are limited in terms of space (learners often run out of space for certain categories; for others the space might be unused) and time (handwritten pages deteriorate over time and cannot easily be updated). Organizing vocabulary in more meaningful categories might make it easier to learn. Textbooks, for example, often introduce new vocabulary thematically. Words can also be organised according to their grammatical class or characteristics, their real world category (e.g. modes of transport, means of communication), their phonological pattern, their etymological elements, or according to when/where they were learnt. This research experiments how the mobile learning of a lexical spreadsheet can be used for the consolidation of and reference to new vocabulary. Offering the learner multiple ways of organising vocabulary at the same time – combining all of the approaches mentioned above, the resource can easily be modified and updated. Importantly, in keeping with autonomous learning theory, the spreadsheet is designed to encourage learners to take more responsibility for their own vocabulary learning and to approach this process more systematically. The resource can be used from any mobile smart phone, tablet or i-Pad.


2013 ◽  
Vol 4 (2) ◽  
pp. 75-83 ◽  
Author(s):  
Young Park ◽  
Yong-Ju Jung

This study defines mobile technology (specifically in this study, smart phone technology) as a contemporary learning tool and environment that can make a difference in users’ informal learning practice. Currently, in Korea, there are thirteen millions smart phone users and the number of smart phone users worldwide is expected to exceed one billion by 2013. Mobile technology is, therefore, becoming a device that many people carry every day and its possibility to facilitate learning seems to be highly promising. With such societal and cultural movement in mind, to understand the nature of mobile users’ experiences and their meanings in terms of learning, the study investigates (a) users’ actual experiences in using mobile, (b) users’ perceptions toward the effectiveness and meaning of mobile for learning, and (c) the characteristics of informal learning appeared through mobile learning. In other words, the study aims to suggest practical guidelines by answering to the following inquires; 1) which experiences do the mobile users perceive conducive to learning? 2) depending on how users understand and define learning in general, does it influence on their use and perception of mobile as a learning tool?, and 3) what can be the most effective way of using mobile for learning in relation to the perspectives of informal learning? Here, the theory of informal learning is applied as a framework. Informal learning, in a broader sense, defines everyday experiences from which we learn something (Merriam & Cafarrella, 1999). According to Schugurensky (2000), informal learning can take different forms due to the presence or absence of intentionality and awareness of learning. He defines informal learning in three forms - self-directed learning, incidental learning, and socialization. While mobile learning has been researched a lot recently, its potential for informal learning, especially for adults has hardly been studied. The research study was conducted in Korea in summer, 2011 and plans to conduct the sequel in USA in fall, 2011. The online survey questionnaire consisted of 20 questions was developed and implemented and the mixed research methodology was applied in that it included both quantitative multiple-choice items and qualitative open-ended questions. The initial findings show that the majority of participants became aware of positive changes in everyday life, including learning. Also, three forms of informal learning: directed learning, incidental learning, and socialization were respectively identified in this environment. More specifically, mobile is perceived to be meaningful especially for directed (or self-regulated) learning while it is seen to be least beneficial for incidental learning. For socialization, interestingly, only certain participants agree that it has occurred through mobile learning or may occur. Finally, the participants find mobile the most useful for information search and knowledge acquisition. In conclusion, the mobile platform can facilitate different types of informal learning and work not merely as a learning tool but a learning environment ultimately. It particularly seems to enhance adults’ learning more enriched and prospered.


Mobile Learning also known as mLearning, is a new generation of learning where content which users wants to learn is accessible and available on mobile devices like smart phone and tablets. With the evolution of “world in the pocket” learning becomes much easier and one can start learning on the go. This paper illustrates how mLearning could be a better new way to learn and to interact with the learning content provided and how mLearning is proving to be a better alternative to traditional learning. Learning through traditional methods is not helping students to learn and gain new knowledge wherever and whenever they want and also it’s not that effective. It is also researched that not all mLearning applications are helpful for the students or learners to learn whatever they want, only apps with interactive and user-friendly user interface were found helpful. That’s why mobile learning applications are made with user-friendly user interface. Some practical strategies and methods of implementation of mLearning approach despite of its limitations and challenges were recommended in this paper as well.


2018 ◽  
Vol 7 (2.29) ◽  
pp. 614
Author(s):  
Sharifah Sariah Syed Hassan ◽  
Zahra Mardani Landani

With the advent of communication technology evolution, learning becomes flexible and accessible at any time and anywhere. Educational technology researchers have extensively integrated the Theory of Acceptance Model (TAM) and Theory of Planned Behavior  to link the beliefs and actions in mobile learning. This study attempted to predict a hypothesized model of mobile learning culture via smart phone. In this present study, the m-learning culture is conceptualized from the factors of attitude, ethical use, technology competent; technology reliance and social well being. Social well being from the perspectives of The Adaptive Structuration has been integrated to underpin the study. 185 samples were drawn from the population of Korea University. Using self constructed questionnaire for the survey, the analyses involved descriptive and simultaneous Multiple Regression Analysis (MRA). The study was supported by qualitative design via interviews. The findings indicate all predictors are significant except for technology reliance and ethical use. Social well being is the highest predictor for the m-learning via smartphone. This study has been explored from both quantitative and qualitative research which provide important empirical information to support m-learning culture and its predictors. The findings have contributed to a model of m-learning which extends the literature and existing models of TAM and Theory of Planned Behavior.  


Author(s):  
Dongshuo Wang ◽  
Bin Zou ◽  
Minjie Xing

Language learners at all levels need a way of recording and organising newly learned vocabulary for consolidation and for future reference. Listing words alphabetically in a vocabulary notebook has been a traditional way of organising this information. However, paper-based notes are limited in terms of space (learners often run out of space for certain categories; for others the space might be unused) and time (handwritten pages deteriorate over time and cannot easily be updated). Organizing vocabulary in more meaningful categories might make it easier to learn. Textbooks, for example, often introduce new vocabulary thematically. Words can also be organised according to their grammatical class or characteristics, their real world category (e.g. modes of transport, means of communication), their phonological pattern, their etymological elements, or according to when/where they were learnt. This research experiments how the mobile learning of a lexical spreadsheet can be used for the consolidation of and reference to new vocabulary. Offering the learner multiple ways of organising vocabulary at the same time – combining all of the approaches mentioned above, the resource can easily be modified and updated. Importantly, in keeping with autonomous learning theory, the spreadsheet is designed to encourage learners to take more responsibility for their own vocabulary learning and to approach this process more systematically. The resource can be used from any mobile smart phone, tablet or i-Pad.


2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Cristhian Lucas ◽  
Xavier Almeida B ◽  
Kléber Loor Z.

El presente trabajo de investigación estableció como objetivo usar WhatsApp como herramienta de enseñanza del idioma Inglés para mejorar la habilidad auditiva (Listening) de 15 estudiantes del Segundo Bachillerato BGU de la Unidad Educativa Liceo Cristiano Peninsular, Provincia de Santa Elena, Ecuador. Al grupo participantes de esta investigación se le permitió utilizar la aplicación WhatsApp en un dispositivo inteligente (Smart Phone),cuyas características principales son la utilidad del envío de mensajes de audio y el intercambio de video, estas interacciones lograron mejorar la habilidad auditiva de esta muestra de estudiantes a través de la práctica de canciones, videoclips, conferencias y podcasts. Para el desarrollo de esta investigación fue necesario aplicar el método cualitativo mediante técnicas tales como: Grupos focales (Focus group), observación y entrevistas. Los resultados de estos análisis demostraron que la aplicación de la metodología de aprendizaje móvil (Mobile Learning), generó un aprendizaje significativo en la habilidad auditiva de los estudiantes entre el 12% y el 20% en donde los estudiantes que se encontraban en el nivel A2.1 pasaron al nivel A2.2 de acuerdo con el Marco Común Europeo. Estos resultados demuestran claramente que los docentes deben aceptar la ruptura epistemológica que establece cambiar los métodos tradicionales de la enseñanza del idioma inglés por métodos modernos acorde con las necesidades que presentan los nativos digitales en los actuales ambientes formales e informales de aprendizaje.


10.28945/4085 ◽  
2018 ◽  
Vol 14 ◽  
pp. 095-115 ◽  
Author(s):  
sodiq onaolapo ◽  
Olawale Oyewole

Aim/Purpose: This study examines the influence of Performance Expectancy (PE), Effort Expectancy (EE), and Facilitating Conditions (FC) on the use of smart phones for mobile learning by postgraduate students in University of Ibadan, Nigeria. Background: Due to the low level of mobile learning adoption by students in Nigeria, three base constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) model were used as factors to determine smart phone use for mobile learning by the postgraduate students in the University of Ibadan. Methodology: The study adopted a descriptive survey research design of the correlational type, the two-stage random sampling technique was used to select a sample size of 217 respondents, and a questionnaire was used to collect data. Descriptive statistics (frequency counts, percentages, mean, and standard deviation), test of norm, and inferential statistics (correlation and regression analysis) were used to analyze the data collected. Contribution: The study empirically validated the UTAUT model as a model useful in predicting smart phone use for mobile learning by postgraduate students in developing countries. Findings: The study revealed that a significant number of postgraduate students used their smart phones for mobile learning on a weekly basis. Findings also revealed a moderate level of Performance Expectancy (𝑥 =16.97), Effort Expectancy (𝑥 =12.57) and Facilitating Conditions (𝑥 =15.39) towards the use of smart phones for mobile learning. Results showed a significant positive relationship between all the independent variables and use of smart phones for mobile learning (PE, r=.527*; EE, r=.724*; and FCs, r=.514*). Out of the independent variables, PE was the strongest predictor of smart phone use for mobile learning (β =.189). Recommendations for Practitioners: Librarians in the university library should organize periodic workshops for postgraduate students in order to expose them to the various ways of using their smart phones to access electronic databases. Recommendation for Researchers: There is a need for extensive studies on the factors influencing mobile technologies adoption and use in learning in developing countries. Impact on Society: Nowadays, mobile learning is increasingly being adopted over conventional learning systems due to its numerous benefits. Thus, this study provides an insight into the issues influencing the use of smart phones for mobile learning by postgraduate students from developing countries. Future Research: This study utilized the base constructs of the UTAUT model to determine smart phone use for mobile learning by postgraduate students in a Nigerian university. Subsequent research should focus on other theories to ascertain factors influencing Information Technology adoption and usage by students in developing countries.


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