Educational robotics based on artificial intelligence and context-awareness technology: a framework

DALIA KHAIRY; RANIA A. ABOUGALALA; MARWA F. AREED; SAFAA M. ATAWY; SALEM ALKHALAF; MOHAMED A. AMASHA.

DALIA KHAIRY Faculty of Specific Education, Computer Teacher Preparation Dept., Damietta University,Damietta,Egypt

RANIA A. ABOUGALALA Faculty of Specific Education, Computer Teacher Preparation Dept., Damietta University, Damietta, Egypt; Faculty of Engineering, Department of Computer Science, Damietta University, Damietta, Egypt

MARWA F. AREED Faculty of Engineering, Department of Computer Science, Damietta University, Damietta, Egypt

SAFAA M. ATAWY Faculty of Specific Education, Computer Teacher Preparation Dept., Damietta University, Damietta, Egypt.

SALEM ALKHALAF Faculty of Science and Arts, Computer Science Department, Qassim University, Alrass, Saudi Arabia

MOHAMED A. AMASHA. Faculty of Specific Education, Computer Teacher Preparation Dept., Damietta University, Damietta, Egypt.

Educational Robotics' (ER) use of Artificial Intelligence (AI) ranges from (Science, Technology, Engineering and Mathematics) STEM area, logical mathematical, debugging, LEGO robots, and a lot more. There is an urgent need for (ER) research on policy and use. However, this paper presents a framework for the representation of knowledge about using Educational Robotics and Context-Awareness technology in the learning environment. This framework enables smart class performance in higher education. The purpose of this study presents a new strategy in many aspects. Expanding and optimizing the students' answers and develop the users' participation in communication. The framework introduces a context controller system on the mobile terminal to connect and prepare the data from the robotics indicators. Additionally, it mixes different AI identification services in the cloud to obtain the context information through investigating and understanding the data. We also present a vision of use robotics and contextaware technology in the learning environment to improve and optimize the most benefits from the context information.