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Computational Thinking is a significant educational theme in recent years; using programming to develop students’ computational thinking is one of crucial training methods so plenty of colleges and universities have set up related curriculum recently to develop their abilities. In light of technological innovations, IoT is nowadays the major concept and technique for promoting intelligent life and the essential knowledge for college and university students. Consequently, the researcher used the online editorWebduino Blockly, in which users could use graphical programming methods to control IoT components allowing them to learn IoT knowledge. Moreover, the researcher utilized UTAUT to investigate their technology acceptance of using this tool and used learning style instrument to evaluate their learning performances of different learning styles. The results showed that performance expectancy had significantly affected behavioral intention; behavioral intention and facilitating conditions had significantly affected use behavior. For learning performance, kinesthetic users’ score was significantly higher than auditory users’ score; this indicated that using this tool and instructional method could significantly enhance kinesthetic users’ learning performance. This study was merely a pilot study; in the future, the researcher expects to investigate learners of all age groups using Blockly programming tool in order to provide more references for instructors.

The Effects of Learning Styles on Learning Performance of Blockly Programming with Webduino Online Editor