How can teaching methods be developed to adapt to the technical development in the field of artificial intelligence So that we can develop the student to be a successful teacher
Teaching must shift from rote memorization to fostering critical thinking and creativity, which AI lacks. Integrate AI as a tool for personalized learning and tackling complex problems.
Redesign assessments to be project-based and collaborative, ensuring they evaluate human-centric skills. Finally, embed AI literacy so students ethically and effectively leverage this technology
Integrating Artificial Intelligence Applications: Teacher training institutions should base their integration of Artificial Intelligence on a theoretical framework that combines subject knowledge, weaving Artificial Intelligence applications throughout the various stages of teaching design, implementation, and evaluation. For instance, in teaching design, AI tools should be used to analyse student learning situations and develop personalised teaching plans; during the implementation of teaching, intelligent teaching assistants should be employed to support instruction; and in teaching assessment, AI technology should be leveraged to conduct objective and comprehensive evaluations
Artificial intelligence has come to stay but the useage in the education sector must not be abused. Infusing the teaching method to adapt to the technical development in AI involves a serious critical thinking, converting the existing traditional method to real AI models. we have the Traditional / Teacher-Centered Methods, Student-Centered / Active Learning Methods, Collaborative / Social Learning Methods etc all this must be collasped into AI application that will make the traditional teaching method more accomodating.