TY - GEN
T1 - Design and Development of a Low-Cost Voice Interactive Children Educational Robot 'TINY' with Natural Language Processing
AU - Jobaida, Nohori
AU - Shidujaman, Mohammad
AU - Mahbub, Ahsan
AU - Samani, Hooman
AU - Premachandra, Chinthaka
AU - Uddin, Mohammad Faisal
AU - Alam, Saadia Binte
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/3
Y1 - 2024/3
N2 - Educational robotics is to improve children's and teenagers' skill and competency development via the use of electronic components and robots in an interdisciplinary learning environment. It focuses mostly on the STEAM fields, while it can also touch on subjects like geography, history, and languages. STEAM education relates these 5 subjects those are Science, Technology, Engineering, Arts and Mathematics. The capacity to which children could interact with a social robot in a novel learning environment is being studied. A method for measuring how actively children with learning difficulties participate in adequately prepared activities is described, utilizing multimodal machine learning. The goal is to find the child's sustained attention throughout the conversation. To achieve this goal, visual and aural data are recorded between the kid and the robot. Education robots for kids are emerging as tools for learning which can enhance young children's early reading and language skills considering recent technical developments. Social robots are those that can interact with humans on a mental and social level. The most recent studies on social robots and how typically developing kids, aged 0 to 8, pick up early language and literacy abilities have been examined. For the entirety of the study, five main themes were identified. Our designed robot TINY, a theoretical foundation for social robotic education, which stands for Teach, Inspire, Nurture, and Yield. Research has shown that social robots can facilitate early language acquisition, a thorough study has been done on the formation of early reading abilities. Additionally, our robot explores the potential of low-cost support for early language acquisition and literacy development, aiming to provide access to high-quality educational tools for all students.
AB - Educational robotics is to improve children's and teenagers' skill and competency development via the use of electronic components and robots in an interdisciplinary learning environment. It focuses mostly on the STEAM fields, while it can also touch on subjects like geography, history, and languages. STEAM education relates these 5 subjects those are Science, Technology, Engineering, Arts and Mathematics. The capacity to which children could interact with a social robot in a novel learning environment is being studied. A method for measuring how actively children with learning difficulties participate in adequately prepared activities is described, utilizing multimodal machine learning. The goal is to find the child's sustained attention throughout the conversation. To achieve this goal, visual and aural data are recorded between the kid and the robot. Education robots for kids are emerging as tools for learning which can enhance young children's early reading and language skills considering recent technical developments. Social robots are those that can interact with humans on a mental and social level. The most recent studies on social robots and how typically developing kids, aged 0 to 8, pick up early language and literacy abilities have been examined. For the entirety of the study, five main themes were identified. Our designed robot TINY, a theoretical foundation for social robotic education, which stands for Teach, Inspire, Nurture, and Yield. Research has shown that social robots can facilitate early language acquisition, a thorough study has been done on the formation of early reading abilities. Additionally, our robot explores the potential of low-cost support for early language acquisition and literacy development, aiming to provide access to high-quality educational tools for all students.
KW - Child-Robot interaction
KW - Early childhood education
KW - Educational robotics
KW - Innovative program
KW - Natural language processing
KW - Real class evaluation
UR - http://www.scopus.com/inward/record.url?scp=85195965950&partnerID=8YFLogxK
U2 - 10.1109/ICIPRoB62548.2024.10543739
DO - 10.1109/ICIPRoB62548.2024.10543739
M3 - Conference contribution
AN - SCOPUS:85195965950
T3 - 3rd International Conference on Image Processing and Robotics, ICIPRoB 2024 - Proceedings
BT - 3rd International Conference on Image Processing and Robotics, ICIPRoB 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 3rd International Conference on Image Processing and Robotics, ICIPRoB 2024
Y2 - 9 March 2024 through 10 March 2024
ER -