Hybrid Teaching Reform and Practice in Big Data Collection and Preprocessing Courses Based on the Bosi Smart Learning Platform  

作　　者：Yang Wang Xuemei Wang Wanyan Wang 

机构地区：[1]School of Computer and Software Engineering,Anhui Institute of Information Engineering,Wuhu 241000,Anhui Province,China [2]School of Computer and Information,Anqing Normal University,Anqing 246000,Anhui Province,China

出　　处：《Journal of Contemporary Educational Research》2025年第2期96-100,共5页当代教育研究(百图)

基　　金：2024 Anqing Normal University University-Level Key Project(ZK2024062D)。

摘　　要：This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model follows a“three-stage”and“two-subject”framework,incorporating a structured design for teaching content and assessment methods before,during,and after class.Practical results indicate that this approach significantly enhances teaching effectiveness and improves students’learning autonomy.

关 键 词：Big Data Collection and Preprocessing Bosi smart learning platform Hybrid teaching Teaching reform 

分 类 号：H31[语言文字—英语]