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In today’s net-based technology culture, a new way of learning/teaching, accessing or preparing learning materials is finding root in Education. It is enabling individuals and institutions to play a more powerful and attractive role in the education process, referred to as e-learning. E-learning is internet-enabled learning that uses net work technology to design, deliver, select, administer and extend learning. Though there are observable increase for multimedia education in various subject fields, the e-learning/e-teaching of statistics and its application to some subject areas is lacking. Statistics as the science of obtaining, processing, and interpreting information from highly complex structural data is often difficult for learners. It requires skills in handling quantitative, graphical as well as mathematical ability. Developing e-learning/e-teaching tool to address these concerns is a powerful and attractive way in which statistics and its application will benefit from e-learning. This thesis is based on such a tool, the MD*Book. It constitute two sections, - Chapters 1 to 4: Introduces e-learning/e-teaching concept, the MD*Book tool and the XploRe Quantlet Client (XQC) techniques. I exemplify the application of MD*Book: e-learning/e-teaching with an implementation to a Finance Introductory Course, FIC MD*Booklet. The implementation herein is a reflection of one of the several enhanced examples on statistical methods and analysis in course content using the XploRe quantlet technology. - Chapters 5 to 6: Explores criteria for e-learning evaluation, investigates e-learning/e-teaching with FIC MD*Booklet through an evaluation study on its learning innovation and outline some suggestions and remarks on the findings. Chapter 7 presents a conclusion on the project in this thesis. |
