Recently,Problem-Based Learning(PBL)has been regarded as a possible way towards effective educational changes in Chinese universities.However,problems have been exposed in the adoption of PBL,such as choosing effectiv...Recently,Problem-Based Learning(PBL)has been regarded as a possible way towards effective educational changes in Chinese universities.However,problems have been exposed in the adoption of PBL,such as choosing effective PBL problems.The purpose of this paper is to provide a possible solution to the formulation of PBL problems for computer science courses,which is to reimplement open-source projects(ROSP).A case is demonstrated by showing how ROSP was adopted in a practical intercourse-level PBL course module.This paper contributes to a new PBL problem formulation method for promoting PBL in a practical way for Chinese universities.展开更多
Artificial intelligence(AI)has broadly reshaped health and medicine,benefiting clinicians,patients,and health systems.However,technical,regulatory,and ethical challenges exist in the application of medical AI,ranging ...Artificial intelligence(AI)has broadly reshaped health and medicine,benefiting clinicians,patients,and health systems.However,technical,regulatory,and ethical challenges exist in the application of medical AI,ranging from data scarcity to fairness.We provide our perspective on how to address the major challenges facing widespread clinical adoption from both technical(e.g.,building high-quality datasets,using larger and more diverse datasets for training,creating problem formulations that go beyond supervised learning,and combining human skills with AI tools)and ethical(e.g.,using highly secure data platforms and strengthening governmental legislation)perspectives.展开更多
基金This research was financially supported by the PBL Research and Application Project of Northeastern University(Grant No.PBL-JX2021yb029,PBL-JX2021yb027).
文摘Recently,Problem-Based Learning(PBL)has been regarded as a possible way towards effective educational changes in Chinese universities.However,problems have been exposed in the adoption of PBL,such as choosing effective PBL problems.The purpose of this paper is to provide a possible solution to the formulation of PBL problems for computer science courses,which is to reimplement open-source projects(ROSP).A case is demonstrated by showing how ROSP was adopted in a practical intercourse-level PBL course module.This paper contributes to a new PBL problem formulation method for promoting PBL in a practical way for Chinese universities.
基金Supported by National Natural Science Foundation of China(72474005,72334004)Youth Beijing Scholars Program(087)Science and Technology Innovation 2030—Major Project on“New Generation Artificial Intelligence”(2021ZD0114101).
文摘Artificial intelligence(AI)has broadly reshaped health and medicine,benefiting clinicians,patients,and health systems.However,technical,regulatory,and ethical challenges exist in the application of medical AI,ranging from data scarcity to fairness.We provide our perspective on how to address the major challenges facing widespread clinical adoption from both technical(e.g.,building high-quality datasets,using larger and more diverse datasets for training,creating problem formulations that go beyond supervised learning,and combining human skills with AI tools)and ethical(e.g.,using highly secure data platforms and strengthening governmental legislation)perspectives.
