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.
Contributor(s): Bhatt, Chintan M., editor. | Sajja, Priti, editor. | Liyanage, Sidath, editor.Call number: LB1028.43 U85 2020eb Material type: TextSeries: Advances in educational technologies and instructional design (AETID) book series.Publisher: Hershey, Pennsylvania : Information Science Reference (an imprint of IGI Global), Copyright date: ©2020Description: 1 online resource (xiv, 166 pages) : illustrations (some colors).Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9781799800125 (electronic book) ; 9781799800101 (Hardcover) (Invalid ISBN) ; 9781799800118 (Softcover) (Invalid ISBN) Subject(s): Education -- Data processing | Computer-assisted instruction | Data mining | Big dataDDC classification: 371.33/4 Online resources: Available via Gale eBooks. Click here to access
Includes bibliographical references and index.
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 Franca, 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 challenges for learning / Evan G. Mense, Southeastern Louisiana University, USA, Pamela a. Lemoine, Troy University, USA, Michael D. Richardson, Columbus State University, USA -- chapter 6. Intelligent tutoring system / Abhishek Singh Rathore, Shri Vaishnav Vidyapeeth Vishwavidyalaya, India, Siddhartha Kumar Arjaria, Rajkiya Engineering College, India.
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.