新工科背景下财经类高校文本分析与挖掘课程教学改革探索

Exploration of Teaching Reform in Text Analysis and Mining Courses for Finance and Economics Universities under the Background of New Engineering Disciplines

摘要: 在新工科建设浪潮下，文本分析与挖掘课程作为培养财经数据分析人才的关键课程，其教学改革迫在眉睫。传统授课存在教学内容与财经实际需求脱节、教学方法单一、实践环节薄弱等问题。基于财经类高校特色，该课程从教学内容重构出发，在“新工科 + 新财经”交叉领域将PBL方法(问题驱动学习)引入“项目驱动与案例导向”的教学模式，构建了“过程追踪 + 成果检验”的双重评估机制，准确把握学生学习情况。通过这些改革举措可有效提升财经类高校学生在文本分析中的数据处理、信息提取与决策支持能力，为财经行业培养具备新工科素养的复合型数据分析人才。

Abstract: Under the wave of new engineering construction, the course of Text Analysis and Mining, as a key course for cultivating talents in financial and economic data analysis, urgently needs teaching reform. Traditional teaching has problems such as a disconnect between teaching content and actual financial needs, a single teaching method, and weak practical links. Based on the distinctive features of finance and economics universities, this course starts with the restructuring of teaching content. In the interdisciplinary field of “New Engineering + New Finance and Economics,” it introduces the Problem-Based Learning (PBL) approach into a “project-driven and case-oriented” teaching model. Additionally, it has established a dual evaluation mechanism of “process tracking + outcome assessment” to accurately gauge students’ learning progress. These reform measures can effectively enhance the data processing, information extraction, and decision support abilities of students in finance and economics universities in text analysis, and cultivate composite data analysis talents with new engineering literacy for the finance and economics industry.