Autonomous driving paper index
Will, Skill, Tool or Task? Investigating the Mechanisms for Generative AI Integration in Higher Education
One-line summary
The integration of artificial intelligence (AI) into work and everyday life occurs not by chance but for some reasons.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
The integration of artificial intelligence (AI) into work and everyday life occurs not by chance but for some reasons. Studies report diverse behavioural responses to generative AI (GenAI) in higher education, from enthusiastic to defensive. However, the conditions that enable or constrain this integration remain insufficiently understood. This paper develops a socio-technical model, WSTT (will, skill, technology, and task), to explain how the integration of GenAI in higher education (an illustrative example of knowledge work) emerges from individual-technology-institutional interplay of mechanisms. Actor-tool interactions occur within institutional structures that encompass shared norms, discipline, and knowledge systems to shape action. When such mechanisms are activated, they may generate five patterns/events of GenAI integration, including non-use, substitution, augmentation, modification, and redefinition. The model offers a theoretically grounded framework for identifying enablers and barriers to GenAI integration and guides supportive changes in training, work design, or policies that may facilitate effective integration.
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