Predicting Adoption of Visual Programming Languages: An Extension of the Technology Acceptance Model (original) (raw)

Studies in Systems, Decision and Control, 2021

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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