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Using the Technology Acceptance Model to Explore the Behavioral Intentions toward Blended Learning

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Learning Technology for Education in Cloud. MOOC and Big Data (LTEC 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 446))

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Abstract

The aim of this study was to explore the relationship between blended learning courses (i.e., food and beverage preparation) and Behavioral Intentions (BIs) by using the Technology Acceptance Model. The participants were students enrolled in food and beverage preparation courses that were elective at China University of Technology. Comprehensive investigations were conducted. Statistical Product and Service Solutions software was employed for item analysis, reliability analysis, Pearson correlation analysis, and regression analysis. The study results indicated that the ease of use and usefulness of blended learning were positively correlated; the ease of use and attitude of blended learning were positively correlated; the usefulness of blended learning and learning attitude were positively correlated; the usefulness of blended learning and BIs were positively correlated; and the attitudes and BIs toward blended learning were positively correlated.

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Hsieh, LY., Lu, YJ., Lee, YH. (2014). Using the Technology Acceptance Model to Explore the Behavioral Intentions toward Blended Learning. In: Uden, L., Sinclair, J., Tao, YH., Liberona, D. (eds) Learning Technology for Education in Cloud. MOOC and Big Data. LTEC 2014. Communications in Computer and Information Science, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-319-10671-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-10671-7_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10670-0

  • Online ISBN: 978-3-319-10671-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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