The collaborative development of future learning centers in engineering university is a crucial component of integrating education,technology,and talent development.Its essence lies in cultivating top-notch innovative...The collaborative development of future learning centers in engineering university is a crucial component of integrating education,technology,and talent development.Its essence lies in cultivating top-notch innovative engineering talents with both scientific and technological literacy and humanistic feelings for the great rejuvenation of the Chinese nation through a historical narrative and a deep understanding of engineering talent cultivation in China.By tracing back to the formation of educator Mei Yiqi’s engineering intentions,the integration of engineering knowledge,and the history of engineering education governance,this paper proposes the key to the collaborative development of future learning centers in engineering university in the era of artificial intelligence.Firstly,it is necessary to update educational concepts and view learners as dynamically self-empowered individuals with plural existences.Secondly,attention should be paid to dynamic knowledge of possibilities,and cross-subject and interdisciplinary cognition and reflection should be carried out based on the types of engineering knowledge.Thirdly,it is essential to establish an engineering talent cultivation model with problem-guided knowledge learning as the core.With the support of digital network platforms and artificial intelligence technology,an infinite link of ideas and knowledge can be established through comprehensive textual methods,constructing learners’own“infinite library”and a spiritual world that is proactive,creative,and cultural.展开更多
Cognitive computing has emerged as a transformative force in artificial intelligence(AI)education,bridging theoretical advancements with practical applications.This article explores the role of cognitive models in en-...Cognitive computing has emerged as a transformative force in artificial intelligence(AI)education,bridging theoretical advancements with practical applications.This article explores the role of cognitive models in en-hancing learning systems,from intelligent tutoring and personalized recommendations to virtual laboratories and special education support.It examines key technologies—such as knowledge graphs,natural language processing,and multimodal data analysis—that enable adaptive,human-like responsiveness.The study also ad-dresses technical challenges like interpretability and data privacy,alongside ethical concerns including equity and bias.Looking forward,it discusses how cognitive computing could reshape future learning modalities and aligns with trends like artificial general intelligence and interdisciplinary learning science.By tracing the path from theory to practice,this work underscores the potential of cognitive computing to create an inclusive,dy-namic educational landscape,while highlighting the need for ethical and technical rigor to ensure its responsible evolution.展开更多
基金2024 General Research Topic of the Chinese Society of Educational Development Strategy,“Research on the Collaborative Development of‘Future Learning Centers’in Engineering University under New Strategic Needs”(Project No.:ZLB20240820)。
文摘The collaborative development of future learning centers in engineering university is a crucial component of integrating education,technology,and talent development.Its essence lies in cultivating top-notch innovative engineering talents with both scientific and technological literacy and humanistic feelings for the great rejuvenation of the Chinese nation through a historical narrative and a deep understanding of engineering talent cultivation in China.By tracing back to the formation of educator Mei Yiqi’s engineering intentions,the integration of engineering knowledge,and the history of engineering education governance,this paper proposes the key to the collaborative development of future learning centers in engineering university in the era of artificial intelligence.Firstly,it is necessary to update educational concepts and view learners as dynamically self-empowered individuals with plural existences.Secondly,attention should be paid to dynamic knowledge of possibilities,and cross-subject and interdisciplinary cognition and reflection should be carried out based on the types of engineering knowledge.Thirdly,it is essential to establish an engineering talent cultivation model with problem-guided knowledge learning as the core.With the support of digital network platforms and artificial intelligence technology,an infinite link of ideas and knowledge can be established through comprehensive textual methods,constructing learners’own“infinite library”and a spiritual world that is proactive,creative,and cultural.
文摘Cognitive computing has emerged as a transformative force in artificial intelligence(AI)education,bridging theoretical advancements with practical applications.This article explores the role of cognitive models in en-hancing learning systems,from intelligent tutoring and personalized recommendations to virtual laboratories and special education support.It examines key technologies—such as knowledge graphs,natural language processing,and multimodal data analysis—that enable adaptive,human-like responsiveness.The study also ad-dresses technical challenges like interpretability and data privacy,alongside ethical concerns including equity and bias.Looking forward,it discusses how cognitive computing could reshape future learning modalities and aligns with trends like artificial general intelligence and interdisciplinary learning science.By tracing the path from theory to practice,this work underscores the potential of cognitive computing to create an inclusive,dy-namic educational landscape,while highlighting the need for ethical and technical rigor to ensure its responsible evolution.
