NDLI: Educational courseware evaluation using Machine Learning techniques

Content Provider	IEEE Xplore Digital Library
Author	Singh, S. Lal, S.P.
Copyright Year	2013
Description	Author affiliation: Sch. of Comput., Inf. & Math. Sci., Univ. of the South Pacific, Suva, Fiji (Singh, S.; Lal, S.P.)
Abstract	With the introduction of massive open online courses (MOOCs) and other web-based learning management systems (LMS), there is a greater need to develop methods for exploring the unique types of data that come from the educational context. This paper highlights the advantage of using Machine Learning (ML) as an e-planning tool to enhance learning and improve courseware development. Researchers generally consider student evaluation survey on courses to be highly reliable and at least moderately valid on courseware evaluation. However, low response rate, retaliation, grades and comparison with past instructors sometimes affects the reliability of the result. ML algorithms has been deployed in this paper to intelligently examine the interaction log data from the LMS to obtain a predictive map that permits mapping the online interaction behaviour of students with their course outcome. These predictive relationships are then investigated and ranked using various ML algorithms to evaluate and validate the various learning tools and activities, and their effectiveness within the course.
Starting Page	73
Ending Page	78
File Size	735075
Page Count	6
File Format	PDF
e-ISBN	9781479915743
DOI	10.1109/IC3e.2013.6735969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-02
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Courseware E-learning Electronic learning Discussion forums Least squares approximations Conferences Attribute ranking Artificial Intelligence Machine learning Online development Educational institutions Prediction algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in