Differentially Private Tree-Based Contextual Online Learning for Service Big Data Selection in IoT

2019 ◽  
Author(s):  
Weiguang Zhao ◽  
Mingxuan Chen ◽  
Difan Mu ◽  
Pan Zhou ◽  
Kehao Wang
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Data Selection

Learning Analytics Considered Harmful

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Research Community ◽  
Current Status ◽  
Online Course ◽  
Full Potential

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

Big Data Cognitive Storage: An Optimum Way of handling the Educational Data in Indian Scenario

2017 ◽  
Vol SED2017 (01) ◽  
pp. 5-7
Author(s):  
Ruchi Jain ◽  
Neelesh Kumar Jain
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Online Education ◽  
Data Protection ◽  
Teaching And Learning ◽  
Relevant Information ◽  
Indian Society ◽  
Digital Learning ◽  
Modern Education ◽  
Indian Scenario

The concept of big data has been incorporated in majority of areas. The educational sector has plethora of data especially in online education which plays a vital in modern education. Moreover digital learning which comprises of data and analytics contributes significantly to enhance teaching and learning. The key challenge for handling such data can be a costly affair. IBM has introduced the technology "Cognitive Storage" which ensures that the most relevant information is always on hand. This technology governs the incoming data, stores the data in definite media, application of levels of data protection, policies for the lifecycle and retention of different classes of data. This technology can be very beneficial for online learning in Indian scenario. This technology will be very beneficial in Indian society so as to store more information for the upliftment of the students’ knowledge.

scholarly journals Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

2018 ◽  
Vol 13 (01) ◽  
pp. 23 ◽  
Author(s):  
Miftachul Huda ◽  
Andino Maseleno ◽  
Pardimin Atmotiyoso ◽  
Maragustam Siregar ◽  
Roslee Ahmad ◽  
...  
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Online Learning ◽  
Teaching And Learning ◽  
Research Direction ◽  
Digital Devices ◽  
Technology In Teaching ◽  
Innovative Environment ◽  
Information And Communication ◽  
Online Learning Resources

Digital devices like tablets, smart phones, and laptop have become increasingly raised and utilised in higher education. As a result, current trends on ICT (information and communication technology) used in education begin widely with focusing on teaching and learning. The new concept of big data in recent ICT domain extends the promising research direction on online learning and big data integration through promising content that can be tailored for each student based on the context and Internet behaviour of users in online learning. This paper aims to explore innovative design for innovative online learning in Higher education using Big Data approach. Critical review from referred journals and books was conducted using thematic analysis. This paper proposes model reference which can be implemented with the technology in teaching and learning to improve student learning environment and outcomes and to enhance students’ development, performance and achievement in learning process in higher education.

Optimal and Efficient Distributed Online Learning for Big Data

2015 ◽  
Author(s):  
Muhammed O. Sayin ◽  
N. Denizcan Vanli ◽  
Ibrahim Delibalta ◽  
Suleyman S. Kozat
Keyword(s):  
Big Data ◽  
Online Learning

scholarly journals Pharmacoinformation studies of chondroprotectors

2021 ◽  
Vol 15 (5) ◽  
pp. 114-120
Author(s):  
A. M. Lila ◽  
I. Yu. Torshin ◽  
A. N. Gromov ◽  
V. A. Semenov ◽  
O. A. Gromova
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Chondroitin Sulfate ◽  
Data Selection ◽  
Scientific Publications ◽  
Modern Methods ◽  
Content Identification ◽  
New Biomarkers ◽  
Selection Of

The pharmacoinformation approach to the assessment and modeling of drugs involves the use of modern methods of data mining. These methods include: 1) analysis of big data (selection of texts of scientific publications, search for new biomarkers); 2) computer analysis of texts (automatic classification of texts by content, identification of pseudoscientific texts); 3) analysis of metric maps (visualization and analysis of complex patterns, including clustering) and 4) chemoinformation analysis, including the assessment of the effect of drugs on the transcriptome, proteome and microbiome of a person. The article provides examples of the application of these methods of pharmacoinformatics to chondroprotectors containing standardized forms of chondroitin sulfate and glucosamine sulfate.

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