An Investigation Of The Effects Of Knowledge Conversion Processes On Motivation, Learning Strategies, Metacognition, And Performance In A Blended Learning Environment
The purpose of this study was to investigate the effects of knowledge conversion processes on motivation, learning strategy, metacognition and performance in an LMS supported blended learning environment. Many studies have investigated the effects of these variables on each other using bivariate...
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Format: | Thesis |
Language: | English |
Published: |
2012
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Online Access: | http://eprints.usm.my/46037/1/YOUSEF%20MUFLEEH%20SALEEME%20JARRAH_HJ.pdf http://eprints.usm.my/46037/ |
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Summary: | The purpose of this study was to investigate the effects of knowledge conversion
processes on motivation, learning strategy, metacognition and performance in an
LMS supported blended learning environment. Many studies have investigated
the effects of these variables on each other using bivariate analysis but no study
has investigated their effects using Nonaka and Takeuchi’s (1995) knowledge
conversion model which comprises factors of Socialization, Externalization,
Combination, and Internalization, nor employed a simultaneous analysis of the
effects of all the factors using tools such as structural equation modeling. This
study employed the survey research method and involved a sample of 202
undergraduate students currently enrolled in classes using blended learning and
the LMS at one university in the northern part of Peninsular Malaysia. Two sets
of questionnaires, namely the SECI questionnaire that was developed by the
researcher, and the MSLQ questionnaire developed by Pintrich et al. (1991) were
employed for this study. Data were analyzed using Structural Equation Modeling
(SEM) that allowed for simultaneous analysis of all the factors using the
regression method. The findings showed that all the factors of SECI and MSLQ
were extracted in the measurement model but in the final structural model only
the factors of Socialization & Externalization were represented together with the
MSLQ factors. |
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