Utilizing educational data mining techniques for improved learning: emerging research and opportunities

by Bhatt, Chintan M. Liyanage, Sidath Sajja, Priti

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This book new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. It includes topics such as automatic assessment, educational analytics, and machine learning.

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Title Statements

Full title :Utilizing educational data mining techniques for improved learning : emerging research and opportunities / Chintan Bhatt, Charotar University of Science and Technology, India, Priti Srinivas Sajja, Sardar Patel University, India, Sidath Liyanage, University of Kelaniya, Sri Lanka.

Summary

Edition Statements

Publication Date:©2020

Publication Statements

Publisher(s):Information Science Reference, an imprint of IGI Global
Place of Publication:Hershey, Pennsylvania
Language:eng
Publication Date:©2020

The Physical Object

Description:1 online resource (xiv, 166 pages) : : illustrations (some color).

Edition Identifiers

ISBN:9781799800125, 1799800121, 1799800105, 9781799800101, 1799800113, 9781799800118
oclc:on1125193022
LC Classification:LB1028.43
Dewey Decimal:371.33/4

Chapter 1. Role of information and communicatino technologies in transforming teaching and learning environments / Deepam Goyal, National Institute of Technical Teachers Training and Research, India, Nitika Goyal, Guru Nanak College, India -- chapter 2. Improvement of the transmission of information for ICT techniques through CBEDE methodology / Reinaldo Padilha França, State University of Campinas (UNICAMP), Brazil, Yuzo Iano, State University of Campinas (UNICAMP), Brazil, Ana Carolina Borges Monteiro, State University of Campinas (UNICAMP), Brazil, Rangel Arthur, State University of Campinas (UNICAMP), Brazil -- chapter 3. Towards increasing the efficiency of e-learning systems using recommendation system approach / zameer Gulzar, BSAR Crescent Institute of Science and Technology, India, L. Arun Raj, BSAR Crescent Institute of Science and Technology, India, A. Anny Leema, VIT University, India -- chapter 4. Predicting the academic performance of students using utility-based data mining / Sidath R. Liyanage, University of Kelaniya, Sri Lanka, K.T. Sanvitha Kasthuriarachchi, University of Kealniya, Sri Lanka -- chapter 5. Data mining in global higher education: opportunities and …

Subjects

Big data Computer-Assisted Instruction Data Mining Données volumineuses Education -- Data processing Éducation -- Informatique Enseignement assisté par ordinateur Exploration de données (Informatique)