This Study investigates the effectiveness of a new Instructional Design model for using advanced multimedia in the teaching and learning of photography at university level in Kingdom of Bahrain. A preliminary study revealed that the central problems faced by students are learning key technical aspects of photography coupled with insufficient resources and high student teachers ratio. Advanced multimedia was proposed as an effective tool for teaching and learning photography. A critical review and analysis of existing e-learning resources revealed that such technology might help in teaching and learning, especially subjects that need experience with real instruments like cameras. Through reference to the ASSURE model, Laurillard's conversational model, and insights from Steuer's Classification model, the researcher developed a new instructional design model for using advanced multimedia in photography education [AMPE]. This was field tested in University photography teaching. For the evaluation of the AMPE model a mixed-model design was used, combining quantitative and qualitative methods. In a quantitative evaluation, effectiveness in learning was estimated from the student achievement in a test. A comparison of the opinions of the two groups of students in a specially constructed questionnaire measuring their views of the respective teaching and learning methods was also applied. Finally engagement and enjoyment in learning in the two groups of students were also assessed through questionnaire. The participants‘comments, opinions, and suggestions were obtained through open-ended questions in the questionnaire. The study found that advanced multimedia enhances effectiveness, engagement, and enjoyment in learning photography. The instructional model and associated ―virtual camera‖ seems to be a suitable solution for the lack of real cameras in the classroom environment, and can help in the teaching of difficult technical photographic knowledge in an efficient and practical manner.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:542133 |
Date | January 2011 |
Creators | Albayat, Fareed Mahdi |
Publisher | De Montfort University |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Source | http://hdl.handle.net/2086/5412 |
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