Developing and Validating a Model for Measuring Mobile Learning Readiness

碩士 === 國立彰化師範大學 === 資訊管理學系所 === 100 === Due to the development of mobile devices and wireless network technology, it produces a new learning style - Mobile learning (m-learning). When a new technology or media is created, it means that it will open a new form of life to humans. People have to change...

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Bibliographic Details
Main Authors: Yu-Ting Chiang, 江玉婷
Other Authors: Yi-Shun Wang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/42557735655908340225
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Summary:碩士 === 國立彰化師範大學 === 資訊管理學系所 === 100 === Due to the development of mobile devices and wireless network technology, it produces a new learning style - Mobile learning (m-learning). When a new technology or media is created, it means that it will open a new form of life to humans. People have to change their behaviors, values, and thinking, or the new technology will not be acceptable and useful in society. Therefore, we should pay more attention to people's mobile learning readiness. Although researchers have developed various scales for measuring individual's technology readiness or online learning readiness, none of the literature has addressed the measurement of mobile learning readiness (MLR). The purpose of this study is to develop and validate a multidimensional mobile learning readiness scale (MLRS) based on previous researches on technology readiness and online learning readiness. In this study, I introduce and define the construct of MLR, provide an empirical validation of the construct and its underlying dimensionality, develop a generic multiple-item measurement scale for MLR with desirable psychometric properties and explore the scale's theoretical and practical applications. By analyzing data from a sample of 319 respondents and the strictly iterative processes, this study proposes a well-validated 6-factor, 33-item MLRS. The instrument and its comprehensive model proposed in this study will be useful to educators and practitioners in designing, implementing, and promoting mobile learning systems.