人工智能对教师教育的影响——专访芬兰赫尔辛基大学汉娜莱·尼米(Hannele Niemi)教授

The Impact of Artificial Intelligence on Teacher Education:An Interview with Professor Hannele Niemi from the University of Helsinki

人工智能(AI)正在迅速推动教育领域变革。人工智能技术在教师教育中的应用给教育带来深远的影响。芬兰赫尔辛基大学的汉娜莱·尼米教授是教师教育和基于技术的学习环境研究领域的专家。她认为人工智能将推动教育体系快速变革,尤其是在课程设计、学习评估和个性化学习支持等方面,人工智能将发挥重要作用。通过大数据分析可知,人工智能能够帮助教师更好地了解学生的学习需求,从而可以为教师提供有针对性的干预方案,促进学生批判性思维和创造力的发展。芬兰的人工智能技术已成为教师教育的关键工具,支持教师从知识传授者向个性化学习支持者的身份转变。然而,人工智能在教育中的应用也面临隐私保护和伦理挑战等困境。尼米教授强调,教师不仅要具备运用人工智能技术的能力,还要关注人工智能带来的公平性问题,以确保所有学生都能平等受益。此外,培养教师的人工智能素养应成为教师教育的重要内容,政府和相关机构应帮助教师和学生应对人工智能可能引发的伦理风险。尼米教授还指出,未来研究应聚焦于如何更好地将人工智能整合到个性化学习和教师专业发展中。

Artificial Intelligence(AI)is rapidly driving changes in the field of education,and its application is making a profound impact on teacher education.Professor Hannele Niemi from the University of Helsinki is an expert in teacher education and technology-based learning environments.She believes that AI will accelerate significant changes in the education system,particularly in areas such as curriculum design,learning assessment,and personalized learning support.Through big data analysis,AI can assist teachers in gaining a deeper understanding of students'learning needs,which enables them to provide targeted interventions and fosters the development of students'critical thinking and creativity.In Finland,AI has become a crucial tool in teacher education,supporting the transition of teachers from knowledge transmitters to facilitators of personalized learning.However,the integration of AI in education also presents challenges,such as privacy concerns and ethical dilemmas.Professor Niemi emphasizes that teachers should not only acquire the skills to utilize AI technology but also address issues of fairness to ensure that all students benefit equally.Moreover,the cultivation of AI literacy should be a key component of teacher education,with institutions supporting both teachers and students in coping with the ethical risks that AI may cause.Professor Niemi also highlights that future research should focus on how AI can be better integrated into fields such as personalized learning and teacher professional development.