职业技术教育2025，Vol.46Issue(8)：48-54,7.
分类招生背景下高职院校学生就读体验差异及其成因
Differences and Causes of Student Experience in Higher Vocational Colleges under the Background of Classified Enrollment
摘要
Abstract
Using students majoring in software technology from grade 2022 at N higher vocational college as a sample,this study explores the differences and causes of student experience among various enrollment types through semi-structured interviews.The study finds that,in terms of identity,students admitted through the vocational education entrance exam have a high level of identification with vocational education,stemming from accumulated experience;students admitted through early admission exhibit characteristics of instrumental rational identification;and students admitted through the general high school entrance exam tend to accept passively.Regarding school identification,early-admitted students actively construct their identity,vocational education entrance exam students rely on established pathways,and general high school entrance exam students accept passively.In terms of academic level identification,all three types of students experience anxiety,with varying coping strategies.The main causes include poor adaptability of the school's support system,unreasonable curriculum design,imbalanced teaching staff,lagging school facility management,and vague individual development goals among students.Therefore,it is recommended to enhance the quality of vocational education and meet students'development needs by increasing investment in vocational education,building a team of"top-notch teachers",innovating talent training models,optimizing the curriculum system and teaching content,and guiding students to plan their careers reasonably.关键词
分类招生/高职院校/学生就读体验/半结构化访谈Key words
classified enrollment/higher vocational colleges/students'studying experience/semi-structured interviews分类
社会科学引用本文复制引用
夏晓飞..分类招生背景下高职院校学生就读体验差异及其成因[J].职业技术教育,2025,46(8):48-54,7.基金项目
江苏省社会科学基金项目课题研究成果"分类招生背景下高职院校高质量技能人才培养路径研究"(22JYB004),主持人:夏晓飞 （22JYB004）
江苏省高等教育教改研究课题"面向学生体质机器学习预测的高校体育教学改革研究"(2021JSJG705),主持人:顾海花、钱佳红 （2021JSJG705）
