Cognitive learning environment and classroom analytics (cleca): A method based on dynamic data mining techniques

Miftah Al Karim, Asif Karim, Sami Azam, Eshtiak Ahmed, Friso De Boer, Ashraful Islam, Fernaz Narin Nur

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

With the advent of modern data analytics tools, understanding the bits and pieces of any environment with the abundance of relevant data has become a reality. Traditional post event analyses are evolving toward on-line and real-time processes. Along with versatile algorithms are being proposed to address the data types suitable for dynamic environments. This research would investigate different dynamic data mining methods that can be deployed into a modern classroom to assist both the teaching and learning atmosphere based on the past and present data. Time series data regarding student’s attentiveness, academic history, content of the topic, demography of the classroom and human sentiment analysis would be fed into an algorithm suitable for dynamic operations to make the learning ambience smarter, resulting in better information being available to educators to take most appropriate measures while teaching a topic. The research objective is to propose an algorithm that can later be implemented with proper hardware set-up.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
Place of PublicationSingapore
PublisherSpringer Singapore
Pages787-797
Number of pages11
Volume59
ISBN (Electronic)978-981-15-9651-3
ISBN (Print)978-981-15-9650-6
DOIs
Publication statusE-pub ahead of print - 3 Feb 2021

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume59
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

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