| dc.description.abstract | In recent years, many institutions have announced the significance of IoT and robot development for countries, societies, and individuals in almost all areas of life, especially in education. Applying IoT technology and assistant robots is necessary for a smart classroom to facilitate the best studying environment. Therefore, this study aims to implement IoT and robot techniques, namely Zenbo, to the innovative pedagogy, called a flipped classroom, to perform a learner-centred learning environment in the High Interaction in Multimedia course. Flipped classroom in this study coordinated with reciprocal teaching summarizing, questioning, clarifying, prediction (SQCP). A smart learning system was developed for the Zenbo robot, including google classroom, Zenbo application, classroom control, QR check-in, face recognition check-in, applying on this course at National Central University, Taiwan.
This study provides essential features for the smart learning environment in the flipped classroom via Zenbo robot and IoT technology. It investigates the effectiveness of the proposed approach, including students′ perception toward interaction, usefulness, intention to use, and easy to use of the smart environment for the flipped classroom. Two experiments, including pilot experiments and regular experiments, were conducted during two semesters. In the first experiment, students learned in the flipped classroom supported by Zenbo robot and IoT, while in the second one, they learned in the smart environment supported by Zenbo robot and IoT with more smart functions, tools, and applications.
The experiment results indicate that in comparison with the former, the proposed approach with Zenbo integrated with more features, tools, and applications, significantly improved the students′ learning environment, and teachers′ teaching way. The results also show that the Zenbo robot is not easy to use; however, the functions, tools, and applications developed for the Zenbo robot are significantly useful in the flipped classroom, and students intend to use the Zenbo robot next time. Besides, the Zenbo robot has some limitations about lacking active, visual programming language, and low communication ability in noisy places. Based on the identified weaknesses, this research presents recommendations for developing another robot with more capability to make more functions and applications for the smart learning classroom. It is believed that this development would give researchers more perfect results to build IoT and robots in the learning environment. | en_US |