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Title: A decision support model for mobile technology enhanced teaching
Author: Trongtortam, S.
ISNI:       0000 0004 7657 1731
Awarding Body: Liverpool John Moores University
Current Institution: Liverpool John Moores University
Date of Award: 2019
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Acquiring new knowledge and key skills in an educational setting is important to develop and improve education quality by integrating technology with teaching and learning in the curriculum. The choice of technology will be the principal focus of innovative Mobile Learning Technology (MLT). Developing countries have difficulty in adopting technology enhanced-teaching approaches due to a lack of technological resources, lack of appropriate guidance and training for teachers and school managers. It is necessary to assist teachers in determining appropriate mechanisms for delivering curriculum and utilising technology for teaching activities. The aim of this research is the development of a decision support model of mobile learning technology used for teaching to guide and assist teachers in determining appropriate mobile technology usage mechanisms for teaching and assist school managers in developing and designing the curriculum to be undertaken in the primary school environment. This research collected and analysed data for the requirements of mobile technology-enhanced teaching and developed a novel decision support model of mobile technology-enhanced teaching to guide in planning and delivering curriculum using mobile learning technologies. This study employs a mixed methods approach (quantitative via questionnaire and qualitative via semi-structured interviews) administered in urban and rural areas, in order to identify and analyse data from the teachers' and school managers' perspectives on the requirements, and attitudes of mobile technology enhanced-teaching. The results highlight that guidance and training in using mobile technology are necessary for teacher training and for school managers delivering the curriculum. Therefore, teachers and school managers need an appropriate decision support model of MLT to guide and decide when they have to use MLT in order to maximise the use of MLT effectively. Soft System Methodology is used for investigating an unstructured problem and developing a decision support model for this research. Additionally, the testing and evaluation of the effectiveness, efficacy, and efficiency of the experimental model in a real-world environment were collected. Finally, this research develops a novel decision support model for mobile technology-enhanced teaching, which can significantly increase the performance of teachers and school managers in planning and delivering educational systems suitable for teaching with mobile learning technology in primary education in Thailand.
Supervisor: Francis, H. ; Taylor, M. ; Sudirman, S. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
Keywords: L Education (General) ; QA75 Electronic computers. Computer science