The Deep Integration of Artificial Intelligence and Subject Teaching Creating Intelligent Curriculum
The deep integration of artificial intelligence (AI) and subject teaching creates AI tutor， one of the intelligent tutoring system. In the early age，the representative of AI tutor was intelligent distribution agent (IDA)， and then it evolved to learning intelligent distribution agent ( LIDA ) ， a learning IDA， In the theory and practice of learning-oriented assessment， we proposed a neural network architecture of the intelligent learning systems towards creating learning value， grounded in the dual character of a neural network in human connectomics and combined with the development of emerging technologies. The system mainly consists of three components， which is a real-time teaching transformation subsystem， teaching optimization reference subsystem and teaching comparison feedforward analysis subsystem respectively. Among of them， teaching optimization reference subsystem is farther made up of four modules， which are reference sub-subsystem of excellent teachers， teaching， modern teaching & learning theory， optimized teaching scheme based-on big data， and self-organized teaching experience. By integrating the neural network of the intelligent learning system towards creating learning value with AI technologies， evaluative learning intelligent distribution agents (EVA-LIDAs) ， as a new generation of intelligent tutoring system y will be created. It not only plays the role of AI tutor but also the role of AI peers. When it is applied in the subject teaching， the teacher will be a curriculum innovator， students will be self-regulated learners， and EVA-LIDAs will be the mediator of learning served as AI tutor and AI peer. They interrelate each other so as to create intelligent curriculum， a new form of curriculum in the age of AI. It aims at continuously improving teaching and learning and ultimately enhancing learning for all students， based on the ecological learning environment integrated with neural networked AI technologies， in the pursuit of creating the value of assessment enhancing learning， with the principle of synergy， precision， individuality and optimization， with the mechanism of mutual cooperation， learning and integration between human intelligence and machine intelligence，by the meam of situation perception，big data association，experience self-organization，and intelligent decision-making.
|關鍵詞||人工智能、神经网络、智能课程、AI教师、AI学伴、artificial intelligence、neural network、inelligent curriculum、AI tutor、AI peer、CSSCI|