人工智能视域下思政教育工作图景与路径

Core Insights - The article discusses the transformative impact of artificial intelligence (AI) on higher education, particularly in the realm of ideological and political education in universities, highlighting new opportunities and perspectives brought by digitalization [1] Group 1: Transformation of Educational Models - AI technology will lead to a comprehensive transformation of ideological and political education in universities, shifting from traditional methods to a more intelligent and collaborative educational model [2] - The integration of AI will facilitate a hybrid teaching model that combines online and offline learning, making online micro-classes a significant supplement to traditional ideological education [2] - AI can assist educators by taking over repetitive tasks such as student performance analysis and assignment grading, thereby enhancing teaching efficiency [2] Group 2: Innovation in Teaching Content - AI will enable a dynamic and multi-dimensional presentation of teaching content, moving beyond static textbooks to a more integrated approach [2] - AI systems can automatically gather trending educational materials from the internet, creating an updated case library for ideological education [2] - Virtual reality (VR) technology can simulate various scenarios for students, helping them understand the consequences of different value choices [2] Group 3: Redefining Roles of Educators and Students - The roles of educators and students will undergo significant changes, fostering a collaborative educational community [2] - Educators will transition from mere knowledge transmitters to classroom designers and academic researchers, utilizing AI data to enhance teaching [2] - Students will evolve from passive recipients of knowledge to active learners, using digital tools for independent exploration and collaborative activities [2] Group 4: Reform Pathways for AI Integration - To realize the envisioned transformation, a systematic solution must be developed, focusing on key areas such as technology, policy, and talent [3] - There is a need to establish comprehensive regulations and standards for the application of AI in ideological education, ensuring data security and ethical considerations [3] - Institutions should create a tiered certification system for AI educational platforms, assessing their safety, algorithm transparency, and educational suitability [3] Group 5: Enhancing Value Guidance and Teacher Competence - The application of AI in education must adhere to the principle of serving educational purposes, ensuring that technology supports rather than detracts from the educational experience [4] - A robust review mechanism should be established to filter negative content generated by AI, maintaining ideological safety in educational materials [4] - Developing a composite teacher workforce with both professional and digital literacy is crucial for improving the quality of ideological education [5]