Green Technologies Enabling Virtual Learning Environments

2016 ◽  
Vol 8 (4) ◽  
pp. 38-55 ◽  
Author(s):  
Rochell R. McWhorter ◽  
Julie A. Delello
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Learning Environments ◽  
Virtual Learning ◽  
Learning Opportunities ◽  
Virtual Learning Environments ◽  
The Internet ◽  
Business Professionals ◽  
The Internet Of Things ◽  
Technology Trends

The ubiquity of the Internet has created options for educators and business professionals to expand learning opportunities through virtual learning environments (VLEs). This article discusses how green technology trends and practices such as Cloud computing, 3D printing, big data, digital badges, The Internet of Things, and real-time group meetings support green initiatives by reducing time and costs, while increasing energy efficiency. Furthermore, the impact of these emerging technologies have on the environment in regards to energy, renewable resources, recycling, and e-wastes are discussed. As technology has quickly evolved into more sophisticated forms, it has opened the options for educators and business professionals to expand learning opportunities into virtual learning spaces referred to as VLEs in this article. Major technology trends discussed that are disrupting the status quo are Cloud Computing, 3D printing, Big Data, Digital Badges, the Internet of Things, and the management of manufacturing and recycling of device e-waste. Implications and Future Research Directions are given.

Green Computing through Virtual Learning Environments

2016 ◽  
pp. 837-864 ◽  
Author(s):  
Rochell R. McWhorter ◽  
Julie A. Delello
Keyword(s):  
Learning Environments ◽  
Virtual Learning ◽  
Learning Opportunities ◽  
Green Computing ◽  
The Internet ◽  
Learning Spaces ◽  
Business Professionals ◽  
The Status ◽  
The Internet Of Things ◽  
Technology Trends

As technology has quickly evolved into more sophisticated forms, it is opening the options for educators and business professionals to expand learning opportunities into virtual learning spaces. This chapter discusses a number of technology trends and practices that can promote green computing as a way for organizations and individuals to be efficient in time, currency, and resources. Three technology trends that are disrupting the status quo are Cloud computing, 3D printing, and the analytics associated with Big Data. In addition, trends that appear to be taking hold include digital badges, the Internet of things, and how we are handling recycling and e-waste of our devices. A discussion around issues of energy required for data servers to power the technology is also presented.

Green Computing through Virtual Learning Environments

2015 ◽  
pp. 1-28 ◽  
Author(s):  
Rochell R. McWhorter ◽  
Julie A. Delello
Keyword(s):  
Learning Environments ◽  
Virtual Learning ◽  
Learning Opportunities ◽  
Green Computing ◽  
The Internet ◽  
Learning Spaces ◽  
Business Professionals ◽  
The Status ◽  
The Internet Of Things ◽  
Technology Trends

As technology has quickly evolved into more sophisticated forms, it is opening the options for educators and business professionals to expand learning opportunities into virtual learning spaces. This chapter discusses a number of technology trends and practices that can promote green computing as a way for organizations and individuals to be efficient in time, currency, and resources. Three technology trends that are disrupting the status quo are Cloud computing, 3D printing, and the analytics associated with Big Data. In addition, trends that appear to be taking hold include digital badges, the Internet of things, and how we are handling recycling and e-waste of our devices. A discussion around issues of energy required for data servers to power the technology is also presented.

Virtual Learning Environments

2011 ◽  
pp. 62-74 ◽  
Author(s):  
Mitzi P. Trahan ◽  
Nan B. Adams ◽  
Susan Dupre
Keyword(s):  
Distance Learning ◽  
Learning Curve ◽  
Learning Environments ◽  
Real Life ◽  
Virtual Learning ◽  
Learning Opportunities ◽  
Virtual Learning Environments ◽  
Development Model ◽  
Steep Learning Curve ◽  
Barriers To Access

The growing experimentation with multi-user virtual environments for educational purposes demands rigorous examination of all aspects of these digital worlds. While their use appears to enhance and expand traditional distance learning, educators acknowledge that barriers to access remain, including a steep learning curve for orienting users to MUVE navigation and functionality. The application of Adams’s Knowledge Development Model for Virtual Learning Environments provides a framework for the design of in-world learning opportunities and activities, many of which tend to mirror pedagogical best-practices in Real Life (RL).

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

The Rise of Big Data, Cloud, and Internet of Things

2018 ◽  
pp. 201-222 ◽  
Author(s):  
Reema Abdulraziq ◽  
Muneer Bani Yassein ◽  
Shadi Aljawarneh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
End Users ◽  
Structured Data ◽  
The Internet ◽  
Huge Amount ◽  
Volume Velocity ◽  
The Cost ◽  
The Internet Of Things

Big data refers to the huge amount of data that is being used in commercial, industrial and economic environments. There are three types of big data; structured, unstructured and semi-structured data. When it comes to discussions on big data, three major aspects that can be considered as its main dimensions are the volume, velocity, and variety of the data. This data is collected, analysed and checked for use by the end users. Cloud computing and the Internet of Things (IoT) are used to enable this huge amount of collected data to be stored and connected to the Internet. The time and the cost are reduced by means of these technologies, and in addition, they are able to accommodate this large amount of data regardless of its size. This chapter focuses on how big data, with the emergence of cloud computing and the Internet of Things (IOT), can be used via several applications and technologies.

scholarly journals A Patent Analysis on Big Data Projects

2022 ◽  
Vol 9 (1) ◽  
pp. 1-14
Author(s):  
Gustavo Grander ◽  
Luciano Ferreira da Silva ◽  
Ernesto D. R. Santibanez Gonzalez
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Academic Research ◽  
Data Driven ◽  
The Internet ◽  
Word Classes ◽  
Patent Documents ◽  
The Internet Of Things

Studies concerning Big Data patents have been published; however, research investigating Big Data projects is scarce. Therefore, the objective of this study was to conduct an exploratory analysis of a patent database to collect information about the characteristics of registered patents related to Big Data projects. We searched for patents related to Big Data projects in the Espacenet database on January 10, 2021, and identified 109 records.. The textual analysis detected three word classes interpreted as (i) a direction to cloud computing, (ii) optimization of solutions, and (iii) storage and data sharing structures. Our results also revealed emerging technologies such as Blockchain and the Internet of Things, which are utilized in Big Data project solutions. This observation demonstrates the importance that has been given to solutions that facilitate decision-making in an increasingly data-driven context. As a contribution, we understand that this study endorses a group of researchers that has been dedicated to academic research on patent documents.

scholarly journals Security in Databases using Cloud Computing

2019 ◽  
Vol 8 (2S8) ◽  
pp. 568-570
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
The Internet ◽  
Performance Information ◽  
Web Of Things ◽  
The Internet Of Things

The initiation of the Internet of Things is the fundamental stimulus behind the current mechanical surprise. Web of things is the unavoidable aggregation of web related devices that assemble, look at and change the immense measure of colossal data at an incomparable rate. By creating and passing on sensible preprocessing frameworks, this goliath measurement of data can be transformed into performance information. The all-new IoT tremendous information development expects changes to be passed on to the present advances. The significance of preprocessing methodologies in the IoT enormous information situation has been discussed in this document and in addition to early IoT examines huge information preprocessing frameworks. Finally, a bright fresh parallel preprocessing system for IoT Big data has been suggested to transform the tough data into treasurable information so that enormous data examination of IoT performance can obtain complete recognition of this increasing growth

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