Liu Yi, Chen Lei, Yao Zerui
School of Electronic and Information, Dongguan Polytechnic, Dongguan, China.
Department of Ideological and Political Education, Dongguan Technician College, Dongguan, China.
Front Psychol. 2022 Aug 11;13:929175. doi: 10.3389/fpsyg.2022.929175. eCollection 2022.
With the emergence of big data, cloud computing, and other technologies, artificial intelligence (AI) technology has set off a new wave in the field of education. The application of AI technology to deep learning in university teachers' teaching and students' learning processes is an innovative way to promote the quality of teaching and learning. This study proposed the deep learning-based assessment to measure whether students experienced an improvement in terms of their mastery of knowledge, development of abilities, and emotional experiences. It also used comparative analysis of pre-tests and post-tests through online questionnaires to test the results. The impact of technology on teachers' teaching and students' learning processes, identified the problems in the teaching and learning processes in the context of the application of AI technology, and proposed strategies for reforming and optimizing teaching and learning. It recommends the application of software and platforms, such as Waston and Knewton, under the orientation of AI technology to improve efficiency in teaching and learning, optimize course design, and engage students in deep learning. The contribution of this research is that the teaching and learning processes will be enhanced by the use of intelligent and efficient teaching models on the teachers' side and personalized and in-depth learning on the students' side. On the one hand, the findings are helpful for teachers to better grasp the actual conditions of in-class teaching in real time, carry out intelligent lesson preparations, enrich teaching methods, improve teaching efficiency, and achieve personalized and precision teaching. On the other hand, it also provides a space of intelligent support for students with different traits in terms of learning and effectively improves students' innovation ability, ultimately achieving the purpose of "artificial intelligence + education."
随着大数据、云计算等技术的出现,人工智能(AI)技术在教育领域掀起了新的浪潮。将人工智能技术应用于大学教师教学和学生学习过程中的深度学习,是提高教学质量的一种创新方式。本研究提出了基于深度学习的评估方法,以衡量学生在知识掌握、能力发展和情感体验方面是否有所提升。研究还通过在线问卷对测试前和测试后的情况进行对比分析,以检验结果。研究了技术对教师教学和学生学习过程的影响,找出了人工智能技术应用背景下教学和学习过程中存在的问题,并提出了教学改革与优化策略。研究建议在人工智能技术的导向下,应用诸如沃森(Waston)和牛顿(Knewton)等软件和平台,以提高教学效率,优化课程设计,并促使学生进行深度学习。本研究的贡献在于,在教师方面通过使用智能高效的教学模式,在学生方面通过个性化和深入的学习,来增强教学和学习过程。一方面,研究结果有助于教师更好地实时掌握课堂教学的实际情况,进行智能备课,丰富教学方法,提高教学效率,实现个性化和精准教学。另一方面,它也为具有不同学习特点的学生提供了智能支持空间,有效提高学生的创新能力,最终实现“人工智能+教育”的目的。