在人工智能时代背景下,“科技写作”教学面临着人工智能代写现象等新挑战,而新工科建设则强调创新与实践能力的培养,使得“科技写作”的教学质量显得尤为重要。传统教学模式在培养高素质人才方面存在不足,尤其是在培养学生独立思考、创...在人工智能时代背景下,“科技写作”教学面临着人工智能代写现象等新挑战,而新工科建设则强调创新与实践能力的培养,使得“科技写作”的教学质量显得尤为重要。传统教学模式在培养高素质人才方面存在不足,尤其是在培养学生独立思考、创新思维和学术诚信方面需要加强。针对这些挑战,教学体系从内容到方法都需革新:教学内容需覆盖科技写作基础理论、论文撰写要点及投稿流程,并强调学术诚信;教学方法则需多元化,包括课堂讲授、案例分析、讨论和实践等,以提升学生写作能力。然而,人工智能代写削弱了学生的独立思考能力,导致学术不端行为频发。因此,教学改革措施应运而生,包括更新教学内容以引入最新科技写作规范、强化学生对科技前沿的掌握,丰富教学方法以采用线上线下混合模式并合理利用人工智能辅助写作,以及改革考核方式以建立多元评价体系。这些措施旨在推动课程与时俱进,适应新工科人才培养需求。 In the context of the era of artificial intelligence, the teaching of “scientific and technological writing” faces new challenges such as the AI-based writing, while the construction of new engineering disciplines emphasizes the cultivation of innovation and practical abilities, making the quality of “scientific and technological writing” teaching important. The traditional teaching model has deficiencies in cultivating high-quality talents, especially in terms of fostering students’ independent thinking, innovative thinking, and academic integrity. To these challenges, the teaching system needs to be innovated in terms of both content and methods: the teaching content should cover the basic theories of scientific and technological, key points of paper writing, and the process of submission, with an emphasis on academic integrity;the teaching methods should be diversified, including classroom lectures, case, discussions, and practice, to enhance students’ writing abilities. However, AI-based writing weakens students’ ability to think independently, leading to frequent academic misconduct. Therefore, teaching reform measures have been introduced, including updating teaching content to introduce the latest standards of scientific and technological writing, strengthening students’ grasp of the forefront technology, enriching teaching methods by adopting online and offline mixed modes and reasonably utilizing AI-assisted writing, and reforming the evaluation system to establish a diversified evaluation. These measures aim to keep the course up-to-date and meet the needs of new engineering discipline talent training.展开更多
文摘在人工智能时代背景下,“科技写作”教学面临着人工智能代写现象等新挑战,而新工科建设则强调创新与实践能力的培养,使得“科技写作”的教学质量显得尤为重要。传统教学模式在培养高素质人才方面存在不足,尤其是在培养学生独立思考、创新思维和学术诚信方面需要加强。针对这些挑战,教学体系从内容到方法都需革新:教学内容需覆盖科技写作基础理论、论文撰写要点及投稿流程,并强调学术诚信;教学方法则需多元化,包括课堂讲授、案例分析、讨论和实践等,以提升学生写作能力。然而,人工智能代写削弱了学生的独立思考能力,导致学术不端行为频发。因此,教学改革措施应运而生,包括更新教学内容以引入最新科技写作规范、强化学生对科技前沿的掌握,丰富教学方法以采用线上线下混合模式并合理利用人工智能辅助写作,以及改革考核方式以建立多元评价体系。这些措施旨在推动课程与时俱进,适应新工科人才培养需求。 In the context of the era of artificial intelligence, the teaching of “scientific and technological writing” faces new challenges such as the AI-based writing, while the construction of new engineering disciplines emphasizes the cultivation of innovation and practical abilities, making the quality of “scientific and technological writing” teaching important. The traditional teaching model has deficiencies in cultivating high-quality talents, especially in terms of fostering students’ independent thinking, innovative thinking, and academic integrity. To these challenges, the teaching system needs to be innovated in terms of both content and methods: the teaching content should cover the basic theories of scientific and technological, key points of paper writing, and the process of submission, with an emphasis on academic integrity;the teaching methods should be diversified, including classroom lectures, case, discussions, and practice, to enhance students’ writing abilities. However, AI-based writing weakens students’ ability to think independently, leading to frequent academic misconduct. Therefore, teaching reform measures have been introduced, including updating teaching content to introduce the latest standards of scientific and technological writing, strengthening students’ grasp of the forefront technology, enriching teaching methods by adopting online and offline mixed modes and reasonably utilizing AI-assisted writing, and reforming the evaluation system to establish a diversified evaluation. These measures aim to keep the course up-to-date and meet the needs of new engineering discipline talent training.
