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Predicting Adoption of Visual Programming Languages: An Extension of the Technology Acceptance Model

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Recent Advances in Technology Acceptance Models and Theories

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 335))

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.

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Author information

Authors and Affiliations

  1. Department of Computer Education and Instructional Technology, Tokat Gaziosmanpasa University, Tokat, Turkey

    Ibrahim Arpaci

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  1. Ibrahim Arpaci
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Correspondence to Ibrahim Arpaci .

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Editors and Affiliations

  1. Faculty of Engineering & IT, The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  2. Faculty of Engineering & IT, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

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Arpaci, I. (2021). Predicting Adoption of Visual Programming Languages: An Extension of the Technology Acceptance Model. In: Al-Emran, M., Shaalan, K. (eds) Recent Advances in Technology Acceptance Models and Theories. Studies in Systems, Decision and Control, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-64987-6_4

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