摘要
目前以互联网、人工智能、大数据为核心的信息技术融入教育教学行业势在必行。通过构建岩心薄片AI识别模块和孔隙结构三维可视化模块,实现“芯-片-电”学习、“电-岩-相”输出的智能化过程;在此基础上搭建开放式、沉浸式数字化网络教学平台,能够有效提升课堂趣味性,激发学习兴趣,推动教学方式的改革,实现从“灌输式”向“沉浸式”、从多媒体向富媒体的转变,推动中国高校实践教学智慧化探索,助力资源勘查工程专业的储层地质专题实习课程进行大数据驱动下的教学方式改革。
At present,it is critical to incorporate information technology,with the internet,artificial intelligence,and big data at its core,into the field of education and teaching.We have enabled the intelligent process of'core thin section-well log data’learning and’well log data-lithology-facies’output through the AI identification module for thin sections and the 3D vis ualization module for pore structures.Based on this,we've developed an open and immersive digital internet platform for the specialized reservoir geology practice course,which can effectively enhance classroom engage ment,stimulate students'learning interest,and encourage the reform of teaching methods.This has enabled a shift from traditional cramming and multimedia methods towards immersive learning and the use of rich media.The goal is to foster intelligent exploration in practice teaching courses for Chinese universities and support the reform of teaching methods driven by big data,specifically for the reservoir geology special practice course at Chengdu University of Technology.
作者
宋金民
施泽进
张小兵
王佳蕊
SONG Jinmin;SHI Zejin;ZHANG Xiaobing;WANG Jiarui(Collge of Energy,Chengdu University of Technology,Chengdu Sichuan 610059,China)
出处
《成都理工大学学报（社会科学版）》
2023年第3期106-112,共7页
Journal of Chengdu University of Technology:Social Sciences
基金
成都理工大学中青年骨干教师资助计划(10912-JXGG2022-02466)
四川省高等教育人才培养质量和教学改革项目(JG2021-669,JG2021-725,JG2018-463)。
关键词
大数据
网络教学平台建设
储层地质专题实习
资源勘查工程
“双一流”学科建设
Big-Data
Internet Teaching Pla tform Construction
Reservoir Geology Internship
Resource Exploration and Engineering
Double First-Class Discipline Development
