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• W3144902786 abstract "Technology acceptance is one of the most dynamic research areas in the field of Information Systems (IS). This chapter provides a systematic overview of technology acceptance theories by clarifying the relations among the theories and models. The chapter developed a theoretical model by extending the “Technology Acceptance Model” (TAM) to better explain adoption of visual programming languages by engineering students. The proposed model was tested by using a “structural equation modelling” approach. Results indicated that “perceived enjoyment” was significantly related with perceived usefulness and attitude. Further, the results indicated that “self-efficacy” was significantly related with perceived ease of use. The proposed model better explained the adoption of Scratch by predicting 75% of the variance in continuous use intention." @default.
• W3144902786 created "2021-04-13" @default.
• W3144902786 creator A5001184112 @default.
• W3144902786 date "2021-01-01" @default.
• W3144902786 modified "2023-09-27" @default.
• W3144902786 title "Predicting Adoption of Visual Programming Languages: An Extension of the Technology Acceptance Model" @default.
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• W3144902786 doi "https://doi.org/10.1007/978-3-030-64987-6_4" @default.
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