Human-AI Cooperation in Education:Human in Loop and Teaching as leadership

Using the differences and complementarities between human intelligence and artificial intelligence(AI),a hybrid-augmented intelligence,that is both stronger than human intelligence and AI,is created through Human-AI Cooperation(HAC)for teaching and learning.Human-AI Cooperation is infiltrating into all links of education,and recent research has focused a lot on the impact of teaching,learning,management,and evaluation with Human-AI Cooperation.However,AI still has its limits of intelligence,and cannot cooperate as humans.Thus,it is critical to study the obstacles of Human-AI Cooperation in education,as AI plays a role as a partner,not a tool.This study discussed for the first time how teachers and AI cooperate based on Multiple Intelligences of AI proposed by Andrzej Cichocki and puts forward a new Human-AI Cooperation teaching mode:human in the loop and teaching as leadership.It is proposed that humans in the loop and teaching as leadership can solve the problem that AI cannot cope with complex and dynamic teaching tasks in open situations,as well as the limits of intelligence for AI.

MI Application on EFL and A Case Study about An Unsuccessful Teaching Practice

As a respond to Larry Cuban's article about why has the influence of MI been highest on educators' beliefs and language and least on classrooms practices? This article try to find out the problems that a teacher may come across when applying MI in the classroom through a case study about an unsuccessful teaching practice, and try to provide a solution as how to make use of MI in classroom correctly. The researcher's premise was that given what we were informed about the educational needs of second language learners, the teachers must be better aware of the students diversity and apply accordingly multifarious activities to suit students' linguistic, cultural and cognitive need. Results of the study indicated that students did have different preferred intelligences. However, if the MI based lesson was not conducted with enough preparation before hand, the students' diverse intelligence cannot be fully developed thus makes the theory failed to further implemented.

Design Path of Ecological Learning Environment Based on Spatial Resilience

Nowadays,the city’s focus on education makes the improvement of learning environment become a new demand for development.From the the perspective of ecology,the theory of"resilience"is introduced to break the stereotype of the existing learning environment and create a space for dialogue with nature from inside to outside.At the same time,the learning environment is divided into observation learning space,exploration learning space and communication learning space by theory and method of multiple intelligence integrating teaching and learning.Through the analysis on resilience characteristics of three types of space,eight basic unit forms of learning environment design are obtained.Arrangement and combination of its form can improve the campus environment,increase children’s learning efficiency and the risk response ability of campus environment,and give children the opportunity to interact with and understand nature in the learning process,so as to provide reference for the diversified development of education and learning space.

A Multiple Intelligence Man-Machine System for Production Management through HierarchicalCooperation in Mining District

In this paper, a multiple intelligence man-machine system is put forward for productionmanagement through hierarchical cooperation in mining district, based on computer network. Thesystem’s architectural structure and operational principle are introduced. The system’s communicationbase, conference base, model base, decision base and intelligence subsystem are expounded. Besides,combining the system with a practical instance is presented to illustrate the application of the system.