Leaning Burnout: Examining the Role of Specialty Identification in Vocational College Students Majoring in Computer Science

W. Xiaohua, Zhang Jun
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Abstract

Vocational colleges students are more likely to suffer learning burnout due to the disadvantaged social recognition and under-equipped educational resources. The symptom of learning burnout is affected by various dimensions and specialty identification (SI) is one of the crucial factors. However, the relationship between SI and learning burnout is little explored in empirical studies. This perspective with a focus on students majoring in Computer Science is rarer despite that Computer Science is a boomingly sought-after major in China and it’s necessary to investigate how do students perceive their major and what’s their real study status. Specifically, to investigate to what extent does the level of SI have an impact on learning burnout and is there any gender differences in the dimensions of SI and learning burnout, we used a sample of 324 college students majoring in Computer Science and issued online questionnaires consisted of the Scale of Specialty Identity and Scale of Learning Burnout. After conducting a regression analysis, this study found that the level of specialty identity especially the dimensions of relevance and behavior are negatively correlated with learning burnout. Moreover, it was discovered that gender difference in SI existed in the aspect of relevance and emotion while barely seen in learning burnout.
学习倦怠:专业认同在高职计算机专业学生中的作用
由于社会认可度不高和教育资源不足,高职高专学生更容易出现学习倦怠。学习倦怠的症状受多个维度的影响,而专业认同是影响学习倦怠的关键因素之一。然而,科学探究与学习倦怠之间的关系却鲜有实证研究。尽管计算机科学在中国是一个炙手可热的专业,但这种关注计算机科学专业学生的视角却很少见,有必要调查学生如何看待他们的专业以及他们的真实学习状况。具体而言,为了调查科学探究水平对学习倦怠的影响程度,以及科学探究和学习倦怠的维度是否存在性别差异,我们以324名计算机专业大学生为样本,发放了由专业认同量表和学习倦怠量表组成的在线问卷。经过回归分析,本研究发现专业认同水平特别是相关和行为维度与学习倦怠呈负相关。此外,研究还发现,在关联和情感方面,科学探究存在性别差异,而在学习倦怠方面,性别差异不明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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