The use of a mobile learning management system and academic achievement of online students

Han, Insook; Shin, Won Sug

doi:10.1016/j.compedu.2016.07.003

Cited by 176 publications

(139 citation statements)

References 26 publications

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“…This initiative has been also transmitted into the mobile learning management system (LMS) [15]. In addition, LMS associated with online student academic achievements would enable in filling the students' need of learning [16]. In previous studies, proposed a mobile course coordinator system integrated and accessible on mobile phone.…”

Section: Significance Of E-therapy In Mobile Application Designmentioning

confidence: 99%

Innovative E-Therapy Service in Higher Education: Mobile Application Design

Huda

Jasmi

Mustari

et al. 2017

Int. J. Interact. Mob. Technol.

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Abstract-Cyber counselling or e-therapy has widely been adopted as the new approach to give an insightful guidance into the clients. In higher education (HE) level, this initiative seems to have rarely been involved due to some technical requirements and preparations. This paper aims to present the approach of e-therapy using mobile application design. The finding illustrates that promoting this model application can theoretically assist the transmission process of counselling in the academic circumstance where both students and advisors may have a continuous engagement with more convenient quality in solving the issues surrounding the academic purposes. The attainment of this paper is expected to contribute in enabling the process of academic counselling in the context of higher education (HE). Strengthening practical and relational value maintaining connection to facilitate the sensitive issues disclosure is expected to help students solve their academic issues, such as reflecting the learning achievement.

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Section: Significance Of E-therapy In Mobile Application Designmentioning

confidence: 99%

Innovative E-Therapy Service in Higher Education: Mobile Application Design

Huda

Jasmi

Mustari

et al. 2017

Int. J. Interact. Mob. Technol.

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“…As a matter of fact, caution must be employed towards virtual laboratories and other forms of mobile or ubiquitous learning. Researchers have to carefully analyze the factors fostering or hindering the adoption of such technologies, on the part of the students, according to the considered learning scenario [23]. Indeed, the individual background, or the environment students are from, the social pressure and personal psychological features may not often affect the adoption of mobile devices for learning as much as innovativeness, ease of use and perceived usefulness themselves, even if the age of students results sometimes in a limit for the smallness of the screens.…”

Section: Researchersmentioning

confidence: 99%

A Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams

Pecori

2018

Future Internet

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Abstract:In recent years, virtual learning environments are gaining more and more momentum, considering both the technologies deployed in their support and the sheer number of terminals directly or indirectly interacting with them. This essentially means that every day, more and more smart devices play an active role in this exemplary Web of Things scenario. This digital revolution, affecting education, appears clearly intertwined with the earliest forecasts of the Internet of Things, envisioning around 50 billions heterogeneous devices and gadgets to be active by 2020, considering also the deployment of the fog computing paradigm, which moves part of the computational power to the edge of the network. Moreover, these interconnected objects are expected to produce more and more significant streams of data, themselves generated at unprecedented rates, sometimes to be analyzed almost in real time. Concerning educational environments, this translates to a new type of big data stream, which can be labeled as educational big data streams. Here, pieces of information coming from different sources (such as communications between students and instructors, as well as students' tests, etc.) require accurate analysis and mining techniques in order to retrieve fruitful and well-timed insights from them. This article presents an overview of the current state of the art of virtual learning environments and their limitations; then, it explains the main ideas behind the paradigms of big data streams and of fog computing, in order to introduce an e-learning architecture integrating both of them. Such an action aims to enhance the ability of virtual learning environments to be closer to the needs of all the actors in an educational scenario, as demonstrated by a preliminary implementation of the envisioned architecture. We believe that the proposed big stream and fog-based educational framework may pave the way towards a better understanding of students' educational behaviors and foster new research directions in the field.

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“…While technology enables life and education is easy. Various tools and methods are used consists in teaching and learning in the classroom, including using of a mobile learning management system with online students [12], an applications on the mobile to introduce the appropriate institution [5], prediction of students' academic failure [13], and using an educational computer program to enhance student performance [14].…”

Section: Educational Technology and Students' Performancementioning

confidence: 99%