文献类型：期刊文献

英文题名：Research on Students' Satisfaction of Intelligent Learning Based on Text Mining Technology

作者：Liu, Wei[1];Zhang, Yanqiu[1];Wang, Tongtong[1]

第一作者：刘微

通讯作者：Wang, TT[1]

机构：[1]Beijing Union Univ, Business Coll, Beijing 100025, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), Beijing Union Univ, Business Coll, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2022

卷号：2022

起止页码：4024263

外文期刊名：COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

收录：;EI(收录号：20222812338253);Scopus(收录号：2-s2.0-85133269959);WOS:【SCI-EXPANDED(收录号:WOS:000820934600003)】；

基金：Beijing Union University's 2021 Teaching Innovation Course Construction Project "Financial Management (Bilingual)"; Beijing Union University's 2021 Educational Teaching Research and Reform Project "Research and Practice of Accounting Major Construction Path and Training Model under the Background of Digital Economy" (JJ2021Z002); Beijing Union University's 2020 Educational Teaching Research and Reform Project "Exploring the practice of integration of production and education under the SPOC teaching mode,taking the business management of commercial bank course as an example" (JJ2020Q004).

语种：英文

外文关键词：Sentiment analysis - Students

摘要：Recently, professionals have highlighted the need for students to have information technology and data analytic skills to be successful in the profession. To meet this demand, educators attempt to integrate technology into curricula. However, the satisfaction of students is of greater importance to evaluating curriculum quality than teaching. This study explores the perceptions that second-year undergraduate students (n = 51) enrolled in a Chinese University held about the teaching contents and teaching approaches of intelligent curriculum. Based on the data sample of the students' summary text for curriculum learning, this study adopts TFIDF analysis, topic modeling, text sentiment analysis, and other text mining technologies so as to have a profound analysis on the students' satisfaction. We find that: (1) the students have a higher satisfaction on the teaching contents involved in the financial sharing center compared to RPA financial robot; (2) students have a better adjustment to case analysis and flipped classroom compared to simulation training and classroom lecturing. Our findings and discussion should be of interest to leaders and teachers of business program seeking to integrate technology. We believe that this study's results provide opportunities to have a further improvement of the teaching contents and optimization of teaching design to effectively improve the curriculum quality in order to achieve enhancement of students' satisfaction.