物理与工程2024,Vol.34Issue(3) :117-122.

数智技术打造大学物理课程混合式教学新范式

BUILDING A NEW PARADIGM OF BLENDING TEACHING FOR COLLEGE PHYSICS COURSES BASED ON DIGITAL INTELLIGENCE TECHNOLOGY

张伟 杨永佳 毕鹏 覃珍珍 刘蕾 梁浩
物理与工程2024,Vol.34Issue(3) :117-122.

数智技术打造大学物理课程混合式教学新范式

BUILDING A NEW PARADIGM OF BLENDING TEACHING FOR COLLEGE PHYSICS COURSES BASED ON DIGITAL INTELLIGENCE TECHNOLOGY

张伟 1杨永佳 1毕鹏 1覃珍珍 1刘蕾 1梁浩1
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作者信息

  • 1. 西南科技大学数理学院,四川 绵阳 621010
  • 折叠

摘要

由于师资和教学资源有限,目前多数高校大学物理基础课教学仍是以大班教学为主,该模式下难以实现有效的全员深度互动,且大班教学模式下主观题作业无法及时全批全改难以形成教学反馈闭环.针对上述问题,我们以人工智能和互联网技术的应用为突破口,基于SOTS(Smart Online Tutor System)平台开发设计独具特色的聊课模式大学物理课程资源,在一问一答之中让学生完成物理概念和解题思路的建构,在引导学生实现深度学习的同时培养了学生自我学习的能力和意识.经教学实践证明,基于SOTS智慧慕课平台开展大学物理课程混合式教学可以达成优秀的教学效果,具有较好的推广示范价值.

Abstract

Due to limited faculty and teaching resources,most universities still focus on large class teaching for college physics courses.This teaching method makes it difficult to achieve effective interaction among all students,and under the large class teaching mode,and the sub-jective homework in the large class teaching mode cannot be timely and completely corrected,making it difficult to form a teaching feedback loop.In response to the above issues,we take the application of artificial intelligence and internet technology as a breakthrough point,and based on the SOTS platform,we develop and design a unique chat mode university physics course resource.Through one question and one answer,we enable students to construct phys-ics concepts and problem-solving ideas,guiding them to achieve deep learning while cultiva-ting their self-learning ability and awareness.Through teaching practice,it has been proven that blended teaching of college physics courses based on the SOTS Smart MOOC platform can achieve excellent teaching results,and has good promotion and demonstration value.

关键词

混合式教学/智慧慕课/人工智能/大学物理

Key words

blended learning/smart MOOCs/artificial intelligence/college physics

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基金项目

教育部大学物理教指委教改项目(DWJZW202138xn)

中国高等教育学会教改项目(23LK0409)

四川省高等教育人才培养质量和教学改革项目(JG2021-864)

西南科技大学教育教学改革与研究项目(22xn0028)

出版年

2024
物理与工程
清华大学

物理与工程

CSTPCD
影响因子:0.63
ISSN:1009-7104
参考文献量9
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