Applying Artificial Intelligence Systems to Six Leading Educational Curricula -A Model for the Elementary Stage

Abstract

Through this paper, we aim to explore the applications of AI systems and their bets and promises made in the contemporary era to the education system, which is responsible for educating generations that have much to offer, using six global primary education approaches. (Learning from problem solving, learning from examples, exploratory learning, collaborative learning, learning through games, learning through teaching) And this stage has been highlighted because of the importance that we see as conveying the full picture of the state of the educational system, so we briefly review the conceptual lens from which we start. "S/vL", which are levels of assistance and adaptation, and then half of the AIED implementation of each of the educational approaches reviewed

and linked to the two frameworks with the intensification of examples, the variations of approaches presented in the AIED literature, the type of tools developed to support teaching professors, and in the discussion section we collect trends across approaches to gain an understanding of what AIED offers. As our review indicates, experimental research documented the effectiveness of AIED applications for all six curricula, through studies conducted in real educational environments (schools, university courses, online learning environments, academia ..), so we tried to clarify and quantify the conceptual environment of these results for teaching professors to utilize AI systems in a systematic manner in the educational process.