Opportunities,challenges,and countermeasures for empowering digital skills of experimental teachers in universities with large language models
[Objective]Large language models(LLMs)have excelled in various fields,including natural language understanding,multimodal generation,and human-computer interaction.These advancements have transformed traditional teacher education,especially in improving the digital teaching abilities and literacy of teachers.Interviews with 28 experimental teachers at our university revealed several challenges:limited opportunities for digital skills training,training content lacking digital and informatization knowledge,primarily offline training methods with limited approaches,and insufficiently rich training resources that do not align closely with the needs of experimental teachers,resulting in poor transferability.This article explores how LLMs can address these issues and improve the digital skills of experimental teachers in universities.[Methods]As information technology evolves,so does the approach to teacher digital skills education.This study combines theoretical and practical research methods to analyze the current digital skills of experimental teachers and the characteristics of LLMs.It examines the opportunities,challenges,and responses for using LLMs to enhance the digital skills of university experimental teachers.[Results]Research has found that LLMs offer new opportunities and challenges for enhancing the digital skills of experimental teachers.They can enrich digital skills,diversify scenarios and methods,optimize transfer effects,enhance environmental contextualization,and enhance the intelligence,precision,and fairness of evaluations.However,improper use of LLMs can lead to technical limitations and security risks.To mitigate these risks,a governance system involving multiple stakeholders is necessary.[Conclusions]LLMs significantly enhance the digital skills of experimental teachers in universities but also present quality,integrity,infringement,ethical,and privacy risks.To resolve these challenges,national entities should strengthen comprehensive regulatory systems.Relevant enterprise entities should accelerate the planning of digital skill enhancement and new infrastructure and consolidate a reliable and controllable technological foundation for LLMs.Social organizations should monitor LLM developments,develop tutorials to improve teachers'digital skills,raise risk awareness,and promote ethical norms and legal knowledge.Universities should conduct research on LLM governance and teaching technologies.Experimental teachers should actively participate in digital skill enhancement activities,continuously improve their artificial intelligence literacy,and use LLMs in teaching activities in a standardized and safe manner.Students should improve their artificial intelligence literacy,follow national laws and academic norms,and uphold academic ethics.By leveraging a multiagent approach,we can maximize the governance efficiency of LLMs in education,thereby better enhancing the digital skills of experimental teachers in universities.
digital skillslarge language modelsartificial intelligenceexperimental teacherprofessional development
万方数据
维普
