Educational Big Data Mining: How to Enhance Virtual Learning Environments

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.

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Educational Data Mining: User Categorization in Virtual Learning Environments

Soft Computing for Business Intelligence - Studies in Computational Intelligence ◽

10.1007/978-3-642-53737-0_16 ◽

2014 ◽

pp. 225-237 ◽

Cited By ~ 2

Author(s):

Angel Cobo Ortega ◽

Rocío Rocha Blanco ◽

Yurlenis Álvarez Diaz

Keyword(s):

Data Mining ◽

Learning Environments ◽

Educational Data Mining ◽

Virtual Learning ◽

Virtual Learning Environments

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ANALYSIS OF STUDENTS’ STUDY ACTIVITIES IN VIRTUAL LEARNING ENVIRONMENTS USING DATA MINING METHODS / STUDENTŲ, BESIMOKANČIŲ VIRTUALAUS MOKYMO APLINKOJE, VEIKLOS ANALIZĖ TAIKANT DUOMENŲ GAVYBOS METODUS

Technological and Economic Development of Economy ◽

10.3846/tede.2010.06 ◽

2010 ◽

Vol 16 (1) ◽

pp. 94-108 ◽

Cited By ~ 11

Author(s):

Saulius Preidys ◽

Leonidas Sakalauskas

Keyword(s):

Data Mining ◽

Distance Learning ◽

Learning Environments ◽

Virtual Learning ◽

Virtual Learning Environments ◽

Learning Materials ◽

Learning Platform ◽

Mining Methods ◽

Using Data ◽

Learning Factors

This article deals with application of data mining methods’ to analysis of learners’ behaviour using the distance learning platform BlackBoard Vista (BlackBoard 2008). Before planning a distance learning course, instructors have to pay attention to the fact that there exist different study methods: some students start reading learning materials from the very beginning to the end, some students look at unclear topics only, some start with the discussions, etc. Therefore after analyzing the learning factors and identifying learner's style, it is possible to prepare individualized learning materials and to choose a proper way of course presentation. Such a way of study organization would improve the quality of studies and make it possible to reach better results. The research was performed by observing the behaviour and results achieved by 528 students in 15 distance learning courses and, using the clustering method, 3 learner's styles using virtual learning environments (VLE) have been identified and work methods proposed for students with regard to those learners’ styles. Besides, the research aims to find out the factors that influence final evaluations of students’. Santrauka Prieš planuodami rengti ir teikti nuotolinio mokymosi kursą, rengėjai turi atsižvelgti į tai, kad žmonės studijuoja skirtingais metodais: vieni pradeda skaityti pateiktą medžiagą iš eiles, kiti peržiūri tik nesuprantamas vietas, treti persikelia į virtualias diskusijas ir pan. Todėl, išanalizavus mokymosi veiksmus ir nustačius studento stilių, vėliau galima pateikti suasmenintą mokymosi medžiagą, parinkti geresnius kurso pateikimo metodus. Toks mokymo organizavimas pagerintų studijų kokybę ir leistų pasiekti geresnių rezultatų. Šiame straipsnyje nagrinėjamas duomenų gavybos metodu taikymas, analizuojant studentų elgseną, naudojantis virtualaus mokymo terpe BlackBoard Vista (BlackBoard 2008).

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Retrieving Information and Discovering Knowledge from Unstructured Data Using Big Data Mining Technique: Heavy Oil Fields Example

10.2523/17805-ms ◽

2014 ◽

Cited By ~ 1

Author(s):

Wenkuang Wu ◽

Xiaoguang Lu ◽

Ben Cox ◽

Guoqiang Li ◽

Lihua Lin ◽

...

Keyword(s):

Data Mining ◽

Big Data ◽

Heavy Oil ◽

Oil Fields ◽

Unstructured Data ◽

Data Mining Technique ◽

Big Data Mining ◽

Mining Technique

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Exploring Self-Regulation Based Virtual Learning Environments Using Diary

Neuroscience and Biomedical Engineering ◽

10.2174/2213385203666150828233907 ◽

2015 ◽

Vol 3 (2) ◽

pp. 66-75

Author(s):

Mahmoud Mohamed Hussien Ahmed ◽

Chaklam Silpasuwanchai ◽

Naglaa Mohammed Fares ◽

Zeinab Mohamed Amin ◽

Abd El-Rahem Ahmed Ahmed Salama

Keyword(s):

Learning Environments ◽

Self Regulation ◽

Virtual Learning ◽

Virtual Learning Environments

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Developing information literacy courses for students through virtual learning environments in Tanzania: Prospects and challenges

IFLA Journal ◽

10.1177/03400352211018231 ◽

2021 ◽

pp. 034003522110182

Author(s):

Evans F Wema

Keyword(s):

Learning Environments ◽

Information Literacy ◽

Teaching And Learning ◽

Virtual Learning ◽

Higher Learning ◽

Virtual Learning Environments ◽

Web Based ◽

Face To Face ◽

Institutions Of Higher Learning ◽

The Face

This article reviews literature on the use of virtual learning environments by highlighting their potential and the challenges of introducing the same in Tanzania. It introduces the concept of virtual learning environments by demonstrating their applications to support teaching and learning. The article discusses the use of virtual learning environments in teaching information literacy courses by highlighting the success of using such tools in facilitating the teaching of information literacy courses to library users. In this review, special emphasis is placed on attempts by Tanzanian institutions of higher learning to introduce web-based teaching of information literacy and the challenges faced. The review reveals the need for Tanzanian institutions of higher learning to develop virtual learning environments to facilitate the teaching of information literacy courses to students and faculty so as to reach many of those who may not manage to attend the face-to-face information literacy sessions that are offered by librarians on a regular basis.

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