融入PBL-IECT理念的大数据类专业课程重构研究
A Study of Curriculum Reconstruction for Big Data Classes Incorporating the PBL-IECT Concept
李桂芝 1孔大为1
作者信息
摘要
由于大数据类专业课程建设历程较短,实践教学案例少、可借鉴的教学经验不足等原因,课程教学仍然采用以传统理论讲授为主、上机实践为辅的教学模式.传统教学在知识更新、与行业实际接轨等方面很难取得令人满意的教学效果.通过对大数据类专业课程知识跨度大、内容更新快、实践性要求高、技术性强等特征进行分析,提出融入"PBL-IECT(项目驱动-专家协同)"理念的教学模式对大数据类专业课程进行重构,设计出以"项目驱动(PBL)"优化课程内容、以"专家协同(IECT)"优化教学模式的课程框架,以"数据采集与清洗"课程为例经过多轮教学实验发现,该模式对于激发学生的开创力、提升学生解决实际问题的能力效果明显.
Abstract
Due to the short course construction history of big data professional courses,few cases of practical teaching,and insufficient teaching experience to draw on,the teaching mode is mainly based on traditional theoretical lectures and supplemented by on-computer practice.Traditional teaching is difficult to achieve satisfactory teaching results in terms of knowledge updating and practical integration with the industry.By analyzing the characteristics of big data courses,such as large knowledge span,fast content updating,high practical requirements,and strong technicality,we propose to reconstruct the big data courses by integrating the teaching mode of"PBL-IECT(Project Based-Expert Collaboration)"concept,and design a teaching mode based on the concept of"Project Driven(PBL)"and"Expert Collaboration",so to design a curriculum framework that optimizes the course content with"Project-Based Learning(PBL)"and the teaching mode with"Industry Expert Collaborative Teaching(IECT)".After several rounds of teaching experiments with the"Data Acquisition and Cleaning"course as an example,we found that this mode is effective in stimulating the students'creativity and enhancing their ability to solve practical problems.
关键词
大数据/课程重构/项目驱动/专家协同Key words
Big Data/Curriculum Reconstruction/Project-Based Learning/Industry Expert Collaborative Teaching引用本文复制引用
基金项目
辽宁省普通高等学校教育本科教学改革研究项目()
出版年
2024
NETL
NSTL
万方数据