基于学业–就业数据的工商管理本科学情诊断与教学改进研究

Based on Academic-Employment Data Matching: A Study on Academic Diagnosis and Teaching Improvement for Undergraduate Business Administration Programs

摘要: 基于某高校工商管理本科专业2021~2025届303名学生的学业成绩与毕业去向数据，运用描述性统计、届际趋势比较和分层交叉分析，考察该专业基本学情，并分析课程模块与毕业去向之间的关联。结果显示：数学类课程低分比例较高，且届际波动较大；实践类课程成绩普遍较高，但这一结果也可能与课程考核结构有关；除数学类课程外，其他课程成绩总体平稳或呈缓慢上升趋势。成绩较好的学生更多选择国内升学，且国内升学者在各课程模块上表现更为均衡；相较之下，境外升学者未表现出明显的成绩优势。据此，文章提出分层支持数学薄弱学生、审查实践类课程考核结构、按升学路径差异化指导、岗位推荐勿仅考虑课程成绩等教学改进建议。

Abstract: Based on the academic records and graduate destination data of 303 undergraduate business administration students from the 2021~2025 cohorts at a certain university, this study employs descriptive statistics, inter-cohort trend comparison, and stratified cross-tabulation analysis to examine the basic academic profile of the program and to analyze the association between course modules and graduate destinations. The results show that mathematics courses had a relatively high proportion of low scores and considerable inter-cohort fluctuation; practice-oriented courses generally received high scores, though this may also be related to the assessment structure of these courses; apart from mathematics courses, scores in other course categories were generally stable or showed a slow upward trend. Students with better overall performance were more likely to pursue domestic postgraduate study, and domestic postgraduate students performed more evenly across course modules; by contrast, overseas postgraduate students showed no obvious score advantage. Accordingly, this paper proposes teaching improvement suggestions, including tiered support for students weak in mathematics, review of the assessment structure of practice-oriented courses, differentiated guidance by postgraduate application path, and avoiding reliance solely on course scores in job recommendations.