scholarly journals Adaptive e-learning using Genetic Algorithm and Sentiments Analysis in a Big Data System

Author(s):  
Youness MADANI ◽  
Jamaa BENGOURRAM ◽  
Mohammed ERRITALI ◽  
Badr HSSINA ◽  
Marouane Birjali
2018 ◽  
Vol 7 (1.8) ◽  
pp. 164 ◽  
Author(s):  
S Kusuma ◽  
D Kasi Viswanath

The internet of things & Big data analytics in eLearning brings tremendous challenges & opportunities to educational institutions & students. In recent trends, the growth of Pervasive computing, Social media, evolving IoT capabilities, technologies such as cloud computing, and big data and analytics are improving the core values of teaching and conducting research but also instilling a new digital culture and developing an IoT-centric society. The primary purpose of this paper is to provide an impact of IoT & Big data analytics in the area of E-learning and study on different E-learning approaches. 


Abjadia ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 97
Author(s):  
Waluyo Satrio Adji ◽  
Abdul Bashith ◽  
Ali Nasith ◽  
Saiful Amin

<p>Social problems in Indonesia in particular are caused by social phenomena transmitted to users of social media, especially Twitter. Big data system provided by Drone Emprit Academic is able to find social phenomena. The ability of critical literacy to read and write supported by statistical data is very important in the 4.0 era. The aim of the research is to find out which Drone Emprit Academic works, analyzes, and displays data on social phenomena whose results can be used to support critical Literacy. This research uses a qualitative approach, literature study method. The analysis includes three stages, namely organize, synthesize, identify. The results of this study that Drone Emprit Academic is a big data system that carries out social network analysis of specific conversations on Twitter in semi-realtime and detail. The form displayed is in the form of a percentage of trends, retweet relationships, mentioning trend graphs, most retweet statuses, conversation trends. The data generated can help read information about social phenomena so that it can support critical literacy which has been partially published in online and offline media.</p>


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