scholarly journals Introduction to the Special Issue on Online Learning for Big-Data Driven Transportation and Mobility

2019 ◽  
Vol 20 (12) ◽  
pp. 4621-4623
Author(s):  
Javier Del Ser ◽  
Javier J. Sanchez-Medina ◽  
Eleni I. Vlahogianni
Big Data ◽  
2021 ◽  
Author(s):  
Dr. Chinmay Chakraborty ◽  
Prof. Muhammad Khurram Khan ◽  
Prof. Ishfaq Ahmad

Big Data ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 151-152
Author(s):  
Chinmay Chakraborty ◽  
Muhammad Khurram Khan ◽  
Ishfaq Ahmad

Big Data ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 402-403
Author(s):  
Chinmay Chakraborty ◽  
Muhammad Khurram Khan ◽  
Ishfaq Ahmad

First Monday ◽  
2019 ◽  
Author(s):  
Payal Arora ◽  
Hallam Stevens

This special issue looks closely at contemporary data systems in diverse global contexts and through this set of papers, highlights the struggles we face as we negotiate efficiency and innovation with universal human rights and social inclusion. The studies presented in these essays are situated in diverse models of policy-making, governance, and/or activism across borders. Attention to big data governance in western contexts has tended to highlight how data increases state and corporate surveillance of citizens, affecting rights to privacy. By moving beyond Euro-American borders — to places such as Africa, India, China, and Singapore — we show here how data regimes are motivated and understood on very different terms.


2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus

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.


Author(s):  
Arun Sangaiah ◽  
Ford Gao ◽  
Krishn Mishra

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