ABSTRACT
Many Institutions offer on-line courses to people from all around the world. Learning Management Systems provides a convenient learning environment for on-line courses. Each learner has individual needs and characteristics such as, personality and learning styles. These investigations are supported by learning theorists who argue that, these differences affect individuals learning process, and that is why learners progress better under certain circumstances. Learning style is the outlined method used to place learners in certain criteria based on the way they process and perceive information.
Felder-Silverman’s learning style model is the implemented model because it combines major learning style models like, Kolb’s, Pask, as well as the Myers-Briggs Type
Indicator.
In this thesis the adaptive learning framework is created using a Java Spark web framework. MySQL database is used to store data and Java Database Connectivity is used to interface Java with MySQL. Static and automatic student modelling are implemented. Learners learning styles are inferred and the framework suggests, learning materials for learners that corresponds to their learning preferences.
TABLE OF CONTENTS
Abstract
List of Figures
List of Tables
Chapter One: Introduction
1.1 Adaptive Learning Systems & Adaptive Learning Framework
1.1.1 Learning management system
1.2 Motivation & Problem Statement
1.3 Aims, Goals & Direction Of Research
1.4 Thesis Structure
Chapter Two: Literature Review
2.1 Learning Management Systems
2.1.1 Common Terms & Definitions Regarding Adaptive Educational Systems
2.1.2 Student Modelling
2.2 Student Modelling & Adaptation In Educational System
2.3 Static Student Modelling & Automatic Student Modelling
2.4 Common Learning Style Models
2.4.1 Examples of Adaptive Educational Systems
2.4.1.1 CS383
2.4.1.2 IDEAL
2.4.1.3 MASPLANG
2.4.1.4 LSAS
2.4.1.5 INSPIRE
2..4.1.6 TANGOW
2.4.1.7 AHA!
Chapter Three: Adaptive Learning Framework
3.1 TOOLS
3.1.1 Database
3.2 Felder-Silverman Learning Style Model(FSLSM)
3.2.1 Index Of Learning Style Questionnaire
3.2.2 Learning Style Questionnaire Evaluation
3.3 Behavior Of Students In A Learning System Considering Learning Styles
3.3.1 Adaptive Learning Framework Working Scenario
3.4 Static & Automatic Learning Style Detection
3.5 Features Of Adaptive Learning Framework
Chapter Four: Implementation
4.1 Http Server & MySQL Database
4.2 Role Of Users
4.3 PROPOSED FRAMEWORK
4.3.1 LEARNERS PROFILE
4.4 General Features Of Adaptive Learning Management Systems
Chapter Five: Conclusion
5.1 Summary & Contribution
5.2 Limitations
5.3 Future Work
Appendix A
Bibliography
CHAPTER 1
Introduction
This chapter gives general introduction to the Learning Management System (LMS),
Motivation and Problem statement. Research aim, goals and direction are also presented.
Later on, the structure of the thesis is described.
1.1 Adaptive Learning Systems & Adaptive Learning Framework
An Adaptive learning system is a platform for teaching, learning,managing courses, and storing user data. In addition, it applies users data to adapt various visible aspects of the system for the user. Adaptive learning systems tailor learners experience to suit individual needs.
Adaptive learning frameworks provide an environment where adaptation and personalization are achieved in order to improve the learning process. Basically, the adaptive learning framework extends the benefits derived from traditional Learning Management Systems (LMS), and incorporates the idea of offering learners personalized support in a distance learning setting.
1.1.1 Learning management system
The Learning management system (LMS) is a platform for teaching, learning and managing on-line courses. The core objective of a LMS is to improve usability and learning. Many institutions make use of learning management systems to offer on-line courses, thereby allowing people to enroll in courses irrespective of physical barriers. Common examples of LMS are Moodle [Moo13], OpenOlat [Ope11] and Blackboard [Bla13]. Although LMS’s provide immense support for teachers, they however are limited in addressing learning differences in individuals. An important factor to consider is to, extend the benefits derived from traditional LMS’sand incorporate the idea of offering learners personalized support in a distance learning setting.
1.2 Motivation & Problem Statement
The innovation of the internet led to advances in communication and technology. Many educational institutions offer online-courses. E-learning has gained massive popularity because learners from all around the world can participate irrespective of their physical distance. Although LMS’s provide a convenient learning environment, LMS’s do not address individual differences in learning. An important issue arises here as highlighted by Jonassen [JG93], individuals differ in their ability to process information, construct meaning from it, or apply it to new situations.
The motivation behind this work is to improve learners learning process by, outlining individual differences in terms of learning style, or preferences, and matching these with suitable learning material.
The major drawback of learning management systems lies in its inability to personalize to the system for learners [GL05]. Jonassen further stated that, it is possible to adapt instructions in order to accommodate differences in ability, style, or preferences among individuals to improve the learning outcome.
Therefore a conclusion can be drawn that, adaptive learning systems address exactly this issue, matching learning contents with learner's learning preferences.
1.3 Aims, Goals & Direction of Research
The aim of the project is to investigate methods of detecting learning styles and provide learning material. This will involve, investigating the behavior of students while using the system, and creating software programs that will implement their learning styles. Using these programs, data is stored in student models, and analysis will be carried out on these data. In summary the project aims are given...
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