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作 者:刘翔 刘珺琛 张爱嘉 Liu Xiang;Liu Junchen;Zhang Aijia
机构地区:[1]广东文理职业学院汽车学院,广东省湛江市524400
出 处:《时代汽车》2020年第23期66-67,共2页Auto Time
基 金:广东省普通高校特色创新资助项目(2019GKTSCX163)。
摘 要:基于大数据技术以及人工智能技术在汽车行业的应用,高职汽车检测与维修技术专业教学和实践也需要做到与时俱进,除了培养学生扎实的专业素养之外,还需要提升学生的职业素养和自主解决问题的能力。基于高职汽车检测与维修技术专业实践教学成效不理想的问题,运用任务导向法来提升其教学成效,在应对人才市场的高需求和高要求中具有重要价值和意义。本文将深入分析导致高职汽车检测与维修技术专业实践教学成效不佳的原因,有针对性地探索任务导向法的应用路径。Based on the application of big data technology and artificial intelligence technology in the automobile industry,the teaching and practice of automobile inspection and maintenance technology in higher vocational schools also need to keep pace with the times.In addition to cultivating students'solid professionalism,high vocational schools also need to improve students’ability to solve problems independently.Based on the problem of unsatisfactory practical teaching results of automobile inspection and maintenance technology in higher vocational colleges,the use of taskoriented methods to improve its teaching effectiveness has important value and significance in responding to the high demand and high requirements of the talent market.This article will deeply analyze the reasons that lead to the poor results of practical teaching of automobile inspection and maintenance technology in higher vocational schools,and explore the application path of task-oriented method in a targeted manner.
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