Learning Management System (LMS) is a software platform, which helps students learning a subject in distance mode. Study materials and associated information are stored in server(s) and students get those materials in form of video and otherwise in a flexible manner. LMS provides all such facilities to the students as well as other stakeholders so that this web-based teaching-learning system becomes much more effective. This course provides an insight of various issues related to management of web-based learning process. We first provide some essential theoretical background, norms and standards being followed in any LMS and their utilities in effective learning system. Though design and development of an LMS is more of a software engineering job, we provide a brief overview of the process so that our clientele can get an idea of how the system works. This will help them in using any LMS. In the third part of our course, we provide overview of several open-source LMS.
Learning Management System - January, 2022
This course may be unavailable.
Overview
Syllabus
A. Foundation of LMS
Week 1:E-learning Fundamentals: Basics of e-learning, Synchronous and Asynchronous Mode of e-learning, Instructional Objectives and Instructional System Design (ISD) – Process, features and need for ISD, e-learning Resources, Various terminologies in e-learning
Week 2:LMS fundamentals, Major features of LMS, Authoring, Personalized Learning, Content Management, Course Management, Learners’ Profile, Assessment, Reporting Tools, Communication, Essential Modules.
Week 3:Learning methods: Conventional learning Vs e-learning - Learning Domain – Cognitive, Affective and Psychomotor - Learning Approach – Deep learning, Surface learning - Types of learning – Discovery learning, Inductive learning etc., Instructional System design, Adult learning approach
B. Technology and Standards
Week 4:LMS and Standards – SCORM - Requirement of Reference Model, Content Aggregation Model (CAM), Properties of SCORM compliant content, Shared Content Object (SCO), Run Time Environment (RTE), Sequencing and Navigation(S&N), LTSA - Five-layer architecture, Concept of LRS and LRS Implementation in LMS
Week 5:Internet Technology, TCP/IP Protocol, Web 2.0
Week 6: Technology and use – Hypertext, Hypermedia, HTTP, Web Technology, LAMP/XAMPP, HTML, XML, Social Media, Learning 2.0
C. Aspects of LMS
Week 7: Security and LMS - Security issues in Internet based application, LMS Risk Analysis and LMS risk analysis, LMS security and privacy control
Week 8: Plagiarism and LMS - Introduction, Plagiarism Detection Methods, Anti plagiarism Software.
Week 1:E-learning Fundamentals: Basics of e-learning, Synchronous and Asynchronous Mode of e-learning, Instructional Objectives and Instructional System Design (ISD) – Process, features and need for ISD, e-learning Resources, Various terminologies in e-learning
Week 2:LMS fundamentals, Major features of LMS, Authoring, Personalized Learning, Content Management, Course Management, Learners’ Profile, Assessment, Reporting Tools, Communication, Essential Modules.
Week 3:Learning methods: Conventional learning Vs e-learning - Learning Domain – Cognitive, Affective and Psychomotor - Learning Approach – Deep learning, Surface learning - Types of learning – Discovery learning, Inductive learning etc., Instructional System design, Adult learning approach
B. Technology and Standards
Week 4:LMS and Standards – SCORM - Requirement of Reference Model, Content Aggregation Model (CAM), Properties of SCORM compliant content, Shared Content Object (SCO), Run Time Environment (RTE), Sequencing and Navigation(S&N), LTSA - Five-layer architecture, Concept of LRS and LRS Implementation in LMS
Week 5:Internet Technology, TCP/IP Protocol, Web 2.0
Week 6: Technology and use – Hypertext, Hypermedia, HTTP, Web Technology, LAMP/XAMPP, HTML, XML, Social Media, Learning 2.0
C. Aspects of LMS
Week 7: Security and LMS - Security issues in Internet based application, LMS Risk Analysis and LMS risk analysis, LMS security and privacy control
Week 8: Plagiarism and LMS - Introduction, Plagiarism Detection Methods, Anti plagiarism Software.
Taught by
Prof. Ranjan Dasgupta
