Towards behavioral cognitive modeling for optimizing learn ability rates in e-learning systems
Dissertant
Thesis advisor
Comitee Members
al-Shalabi, Riyad
al-Shaykh, Asim A. R.
al-Dabbas, Umar Ṣuhaib
University
Arab Academy for Financial and Banking Sciences
Faculty
The Faculty of Information Systems and Technology
Department
Department of Management Information Systems
University Country
Jordan
Degree
Ph.D.
Degree Date
2010
English Abstract
This research has the advantage of providing an evaluation model aims at measuring the learnability rate of e-learning system while students interaction.
This model can be useful whenever designers aim at designing an economic e-learning system.
The objectives of proposed model includes measuring the learnability rate for interactive e-learning system based on the system conceptual design for the hardness of mental operations and the system usability by emphasizing the cognitive dimensions framework evaluation.
(Wilbert, 2007) defined the interactive system, which provides a dialog conversation between user and computer while interaction that increasingly difficult to verbalize.
The e-learning system hardness of mental operation and the system usability are measured according to the learners created cognitions while using the system.
The purpose of this study focuses on the lifelong learning and future trends toward the economic e-learning system.
So that, this research is applied to study the e-learning system implementation based on the real life perspective and tries to indicate the critical factors behind the implementation failure.
The study highlights the existing gap between the level of students' interaction expectations and the real implementations of e-learning system.
This research attempts to present the e-learning realization problem based on the student cognitive point of view in order to analyze and provide deep understanding for the e-learning realization problem causes and effects on students' behavior toward interacting with the e-learning system.
A pilot study has been conducted in this research in order to capture the needed inputs for creating the new model to measure the learnability rate of the e-learning system using the students' expectations cognitions.
In addition to, a technical testing including the pre and post-test by tracking the student real interaction to implement a specific task using the interactive e-learning system.
The results from testing the proposed model show that, learnability rate can be increasingly affected by reducing the cognitive hardness of mental operation needed while using e-learning system and increasingly affected by increasing the system usability recognition based on the students' learning cognitive.
This study provides a new vision to build an economic e-learning system that may contribute in solving the current e-learning realization problem toward the lifelong learning future trends.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
175
Table of Contents
Table of contents.
Abstract.
Chapter One : introduction.
Chapter Two : e-learning.
Chapter Three : research processes.
Chapter Four : research methodology.
Chapter Five : pilot study.
Chapter Six : technical testing results: the pre- and post-test study.
Chapter Seven : summary and recommendations.
References.
American Psychological Association (APA)
al-Halabi, Sana Muhammad. (2010). Towards behavioral cognitive modeling for optimizing learn ability rates in e-learning systems. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-307032
Modern Language Association (MLA)
al-Halabi, Sana Muhammad. Towards behavioral cognitive modeling for optimizing learn ability rates in e-learning systems. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences. (2010).
https://search.emarefa.net/detail/BIM-307032
American Medical Association (AMA)
al-Halabi, Sana Muhammad. (2010). Towards behavioral cognitive modeling for optimizing learn ability rates in e-learning systems. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-307032
Language
English
Data Type
Arab Theses
Record ID
BIM-307032