大数据模型在电子科学与技术专业教学发展问题探讨  

Discussion on the Development of Big Data Model in the Teaching and Development of Electronic Science and Technology

作　　者：龙登 Deng Long(Guizhou University,Guiyang,Guizhou 550025)

机构地区：[1]贵州大学,贵州贵阳550025

出　　处：《教育教学研究前沿》2025年第4期10-12,共3页Frontiers of Education and Teaching Research

摘　　要：大数据模型在教育领域得到快速发展。本文聚焦电子科学与技术专业教学,深入探讨大数据模型带来的机遇与挑战。一方面,大数据可以提升教学精准性、优化课程设置、推动个性化学习以及改进教学评估体系;另一方面,在剖析实际应用过程中遇到的多角度问题,涉及数据安全风险、教学资源整合困难、模型构建复杂性、师资技术能力不足等问题。在此基础上,结合学科特点提出针对性解决策略,旨在为电子科学与技术专业教学创新提供理论参考,同时推动大数据模型与专业教育的深度融合,助力教学质量提升与精准培养高素质人才。Big Data Models have developed rapidly in the field of education.This paper focuses on the teaching of electronic science and technology,and deeply discusses the opportunities and challenges brought by Big Data Models.On the one hand,Big Data can improve teaching accuracy,optimize curriculum design,promote personalized learning,and improve the teaching evaluation system.On the other hand,the multi-dimensional challenges faced in the process of practical application are analyzed,including data security risks,difficulties in the integration of teaching resources,complexity of model construction,and lack of technical ability of teachers.On this basis,this paper proposes targeted solutions based on the characteristics of the discipline,aiming to provide a theoretical reference for the teaching innova⁃tion of electronic science and technology,and at the same time promote the deep integration of Big Data Models and professional education,so as to help improve the teaching quality and cultivate high-quality talents to meet the needs of the industry.

关 键 词：电子科学与技术 大数据模型 教学资源整合 

分 类 号：G642.0[文化科学—高等教育学]