基于LIWC分析的低 SES 大学生 STEM 专业写作特征研究

This paper provides a computerized language analysis of two levels of students’ writing samples from the Purdue Rising Scholars program, looking at whether the characteristics associated with being open to mentor supporter counseling and guidance can be detected or were grown during the student’s experiences in higher education. The LIWC program, a well-accepted software package developed at the University of Texas – Austin, was implemented with terms derived from Derrick Peterson’s Web of Support questionnaire. The work described in this article is similar to a previous study by the same rese