Humanoid robot as an educational assistant – insights of speech recognition for online and offline mode of teaching

Technology has the potential to enhance the effectiveness of the teaching and learning process. With the integration of technological resources, educators can create dynamic and interactive learning environments that offer diverse learning methods. With the help of these resources, students may be able to understand any topic deeply. Incorporating humanoid robots provides a valuable approach that combines the benefits of technology with the personal touch of human interaction. The role of speech is important in education; students might face challenges due to accent and auditory problems. The display of the text on the robot's screen can be beneficial for students to understand the speech better. In the present study, our objective is to integrate speech transcription with the humanoid robot Pepper and to explore its performance as an educational assistant in online and offline modes of teaching. The findings of this study suggest that Pepper's speech recognition system is a suitable candidate for both modes of teaching, regardless of the participant's gender. We expect that integrating humanoid robots into education may lead to more adaptive and efficient teaching and learning, resulting in improved learning outcomes and a richer educational experience.