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Evaluation of Integrating Knowledge Management and E-Learning Towards Improved Learning Framework: KSA Case Study. Assessment Study of Linking KM with EL Factors aiming to Improve the Learner Performance in the Kingdom of Saudi Arabia, based on the New Bloom’s Taxonomy Framework
Alhuzali, Fatimah
Alhuzali, Fatimah
Publication Date
2015
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The University of Bradford theses are licenced under a Creative Commons Licence.
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Institution
University of Bradford
Department
School of Electrical Engineering and Computer Science Faculty of Engineering and Informatics
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2015
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Abstract
The globalisation of commerce, alongside growing information on the Internet, has increased the demand of E-Learning (EL). Furthermore, knowledge management (KM) is capable of generating significant organisational/institutional competitive advantages.
KM and EL systems contribution to the requirements of education has resulted in their increased demand of their integration across business/academic world.
Bloom’s Taxonomy of Educational Objectives is one of the most widely used framework of organising levels of expertise. Bloom’s different cognitive domains are based on a hierarchy of learning which progresses from simple to complex and from concrete to abstract.
This study considers ways to improve higher education in Saudi Arabia, based on the significant factors (of KM/EL systems) contributing to learner performance and the way in which New Bloom’s Taxonomy could potentially affect/benefit these individual systems; previous academic works will be considered, in an attempt to achieve higher standards of education using this theory/framework.
This research presents the value of learning process/tactical approaches, to encourage staff and students to accept the idea of integrating EL and KM factors under New Bloom’s Taxonomy; examples will be given to demonstrate instances where systems have been adopted successfully.
To investigate the effectiveness of New Bloom’s Taxonomy on the integration of EL and KM factors in Saudi higher education, a questionnaire methodology was chosen to collect data from experts of both systems; furthermore, the public sector was chosen as it has adopted both systems. Therefore, an integrated framework is proposed.
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Thesis
Qualification name
PhD