智慧学习环境下高校学生智慧学习力现状研究
Study on the Present Situation of Intelligent Learning Power of College Students in the Smart Learning Environment
DOI: 10.12677/AE.2023.13111360, PDF,   
作者: 徐后香:北京工业大学高等教育研究院,北京;郭 煜*:北京工业大学信息化处,北京
关键词: 智慧学习力高校学生智慧学习环境Intelligent Learning Power College Students Smart Learning Environment
摘要: 高校学习环境智慧化变革背景下,学生是否能适应教与学形式的变化,是否能充分利用技术改善自身学习亟待探究。文章首先对智慧学习力概念做出界定,并将其构成要素划分为适应力、策应力、调控反思力、互惠力、技术力、转化力六个维度。随后,编制问卷并以北京高校学生为研究对象进行发放,通过SPSS对600份回收数据整理分析,探究智慧学习环境下高校学生学习力现状,结果表明:高校学生智慧学习力处于中等略偏上水平,各维度得分从高到低依次是技术力、策应力、转化力、适应力、调控反思力、互惠力,在性别、院校层次、智慧学习时长上存在显著差异,在年级、学科类型上差异不显著。基于此,本研究从开展智慧学习培训、构建学习共同体、养成自我反思习惯三方面提升高校学生智慧学习力水平。
Abstract: In the context of the intelligent transformation of university learning environments, it is important to investigate whether students can adapt to changes in teaching and learning and whether they can utilize technology to enhance their learning. This study defines the concept of intelligent learn-ing power and divides it into six dimensions: adaptability, responsiveness, regulation and reflec-tion, reciprocity, technology, and transformation. Subsequently, questionnaires were administered to students from Beijing universities. A total of 600 questionnaires were collected, and data were analyzed using SPSS to investigate the current state of college student learning power in smart learning environments. Results indicate that the intelligent learning power of college students is slightly above average, with technology, responsiveness, transformation, adaptability, regulation and reflection, and reciprocity being the highest to lowest scoring dimensions respectively. Significant differences were observed in gender, university level, and time spent studying, but not in grade or subject type. Based on these results, the study aims to improve college students’ intelligent learning power through three methods: intelligent learning training, learning community building, and self-reflection habit development.
文章引用:徐后香, 郭煜. 智慧学习环境下高校学生智慧学习力现状研究[J]. 教育进展, 2023, 13(11): 8800-8811. https://doi.org/10.12677/AE.2023.13111360

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