IOT And Big Data Analytics In E-Learning:  A Technological Perspective and Review

Kusuma, S M; Viswanath, D Kasi

doi:10.14419/ijet.v7i1.8.11540

Cited by 16 publications

(16 citation statements)

References 1 publication

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“…When analyzing the literature, it should be noticed that the concept of big data may be explained from a technical or an organizational perspective. From a technical point of view, big data means new technologies and tools that make it possible to process huge amounts of data that come from such new sources as sensors, social media, and real-time systems [9,[38][39][40][41][42][43][44][45][46][47][48][49][50]. From an organizational point of view, big data means new ways of running a business, of decision making, and of understanding the customers, suppliers, and other stakeholders of organizations [7,8,24,[51][52][53][54].…”

Section: Big Data and Sustainability Issuesmentioning

confidence: 99%

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A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data

Olszak

Mach‐Król

2018

Sustainability

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The main aim of this paper is to provide a theoretically and empirically grounded discussion on big data and to propose a conceptual framework for big data based on a temporal dimension. This study adopts two research methods. The first research method is a critical assessment of the literature that aims to identify the concept of big data in organizations. This method is composed of a search for source materials, the selection of the source materials, and their analysis and synthesis. It has been used to develop a conceptual framework for assessing an organization’s readiness to adopt big data. The purpose of the second research method is to provide an initial verification of the developed framework. This verification consisted of conducting qualitative research with the use of an in-depth interview in 15 selected organizations. The main contribution of this study is the Temporal Big Data Maturity Model (TBDMM) framework, which can help to measure the current state of an organization’s big data assets, and to plan their future development with respect to sustainability issues. The proposed framework has been built over a time dimension as a fundamental internal structure with the goal of providing a complete means for assessing an organization’s readiness to process the temporal data and knowledge that can be found in modern information sources. The proposed framework distinguishes five maturity levels: atemporal, pre-temporal, partly temporal, predominantly temporal, and temporal, which are used to evaluate data/knowledge, information technology (IT) solutions, functionalities offered by IT solutions, and the sustainable development context.

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Section: Big Data and Sustainability Issuesmentioning

confidence: 99%

“…[49] "Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time." [50] "«Big data» means enormous volumes of data. The data can be divided as structured data and unstructured data.…”

Section: Author(s) Definitionmentioning

confidence: 99%

A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data

Olszak

Mach‐Król

2018

Sustainability

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“…Changes in previous learning will offer new career opportunities for students in the latest trends. Large data analysis analyzes which eLearning strategies function and provides which strategies do not help in terms of achieving eLearning goals [8]. The current development is generally E-Learning widely adopted are web based.…”

Section: Resultsmentioning

confidence: 99%

Edmodo Based E-Learning as a Media of Construction Building Learning

Ningsih¹,

Triyono²,

Minghat³

et al. 2018

IJET

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Edmodo based E-Learning is a social learning platform for teachers/lecturers, students or for parents that developed in late 2008 by Nic Borg and Jeff O "Hara Edmodo based E-Learning developed based on the principles of group based on class management and also social media. Edmodo based E-Learning is very comprehensive because access is faster and easier to use by using some of the features that function like course management systems. The learning process using teaching materials with Edmodo based E-Learning can be used as a reference in developing appropriate teaching materials for other materials to increase the level of thinking probabilistic learners. Edmodo is certainly a good choice for learning in the fourth industrial revolution era. This study is a literature that tries to express the ideas associated with the use of Edmodo based E-Learning in Building Construction Learning. This study has the following objectives: (1). Describe criteria of Edmodo based E-Learning that good. (2). Describe the material in accordance with the Edmodo based E-Learning in Building Construction learning. (3). Describing the use of Edmodo based E-Learning in Building Construction learning.

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“…Nishtha et al [21] discussed about the security issues in information linkage in an IoT ecosystem. Kusuma et al [22] studied the various e-learning approaches and also discussed about the impact of IoT and big data analytics on e-learning strategies. They also provided the functional view of IoT and big data analytics with respect to e-learning approaches.…”

Section: Related Workmentioning

confidence: 99%

Request-based, secured and energy-efficient (RBSEE) architecture for handling IoT big data

Ahad

Biswas

2018

Journal of Information Science

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The technological advancements in the field of computing are giving rise to the generation of gigantic volumes of data which are beyond the handling capabilities of the conventionally available tools, techniques and systems. These types of data are known as big data. Moreover with the emergence of Internet of Things (IoT), these types of data have increased in multiple folds in 7Vs (volume, variety, veracity, value, variability, velocity and visualisation). There are several techniques prevalent in today’s time for handling these types of huge data. Hadoop is one such open source framework which has emerged as a de facto technology for handling such huge datasets. In an IoT ecosystem, real-time handling of requests is an imperative requirement; however, Hadoop has certain limitations while handling these types of requests. In this article, we present an energy-efficient architecture for effective, secured and real-time handling of IoT big data. The proposed approach adopts atrain distributed system (ADS) to construct the core architecture. This study uses software-defined networking (SDN) framework for energy-efficient and optimal routing of data and requests from source to destination, and vice versa. Furthermore, to ensure secured handling of IoT big data, the proposed approach uses ‘Twofish’ cryptographic technique for encrypting the information captured by the sensors. Finally, the concept of ‘request-type’ identifying unit has been proposed. Instead of handling all the requests in an identical way, the proposed approach works by characterising the requests on the basis of certain criteria and parameters, which are identified here.

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IOT And Big Data Analytics In E-Learning: A Technological Perspective and Review

Cited by 16 publications

References 1 publication

A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data

A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data

Edmodo Based E-Learning as a Media of Construction Building Learning

Request-based, secured and energy-efficient (RBSEE) architecture for handling IoT big data

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