江西师范大学学报(自然科学版)2024,Vol.48Issue(2) :131-138.DOI:10.16357/j.cnki.issn1000-5862.2024.02.03

大学生计算思维的类别特征及教学启示

The Category Characteristics and Teaching Enlightenment of Computational Thinking Among College Students

李佳颖 刘娜 康春花
江西师范大学学报(自然科学版)2024,Vol.48Issue(2) :131-138.DOI:10.16357/j.cnki.issn1000-5862.2024.02.03

大学生计算思维的类别特征及教学启示

The Category Characteristics and Teaching Enlightenment of Computational Thinking Among College Students

李佳颖 1刘娜 1康春花1
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作者信息

  • 1. 浙江师范大学心理学院,浙江省儿童青少年心理健康与危机干预智能实验室,浙江金华 321004
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摘要

伴随人工智能在教育领域中的渗透,计算思维再度掀起教育界和学术界的热浪.借助大学生计算思维多维测验,该文调查分析了中国大学生计算思维发展特征.调查结果表明:1)大学生计算思维整体能力不容乐观,少有卓越者,且5维能力不均;2)大学生计算思维可分为全面弱势组、普通均衡组和局部良好组3种潜在类别;3)文史科学生的局部良好组比率显著低于理工科学生的局部良好组比率,女生局部良好组比率显著低于男生局部良好组比率.该研究为智能时代大学生计算思维的培养提供思路和借鉴.

Abstract

With the penetration of artificial intelligence in the field of education,computational thinking has once again set off a heat wave in the education and academic circles.The multidimensional test of college students'com-putational thinking is utilized to investigate and analyze the development characteristics of Chinese college students'computational thinking.The results show that the overall ability of college students'computational thinking is not optimistic,with few outstanding individuals and uneven five dimensional abilities.College students'computational thinking can be divided into three potential categories that are overall weak group,ordinary equilibrium group and local good group.The proportion of local good group of students in literature and history is significantly lower than that of science and engineering,and the proportion of local good group of female students is significantly lower than that of male students.The research provides ideas and references for the cultivation of computational thinking of college students in the intelligent era.

关键词

大学生/计算思维/潜在剖面分析/潜在类别/教学培养

Key words

college students/computational thinking/latent profile analysis/potential categories/teaching and training

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基金项目

教育部人文社会科学研究项目(22YJA190005)

浙江省儿童青少年心理健康与危机干预实验室重点开放基金(23MHCICAZD04)

出版年

2024
江西师范大学学报(自然科学版)
江西师范大学

江西师范大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.538
ISSN:1000-5862
参考文献量14
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