| 基于行为序列分析的建筑类高职学生在线学习特征研究 |
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| 引用本文： | 秦秀波,周国栋.基于行为序列分析的建筑类高职学生在线学习特征研究[J].九江职业技术学院学报,2020(1):19-23. |
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| 作者姓名： | 秦秀波 周国栋 |
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| 作者单位： | 山东城市建设职业学院 |
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| 基金项目： | 2017年山东职业教育教学改革课题“基于生成性学习理论的高职建筑类专业学生移动在线学习模式研究与实践”。 |
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| 摘 要： | 智慧教育是信息化教育应用的一个新范式,学习分析技术也必将在智慧教育发展中随着大数据应用产生不可预估的价值。通过分析行为序列这一主流的学习分析技术,结合聚类分析、相关分析对高职学生在线学习课程行为序列和参与模式进行了实证探索,得出在线学习行为序列频次和与成绩显著相关的行为序列,参与模式划分为低投入型、浅层次投入型、目标投入型和深层次参与型四类。最后对在线课程教与学过程、有效的行为序列、学生的最佳参与模式和在线课程设计进行讨论总结,以期对高职院校学生在线学习的分析、评估、改进提供参考和借鉴。
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| 关 键 词： | 行为序列分析 学习特征 高职学生 在线学习 |
Study on the Characteristics of Online Learning for Students of Architectural Higher Vocational Colleges Based on Behavior Sequence Analysis |
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| Qin Xiubo,Zhou Guodong.Study on the Characteristics of Online Learning for Students of Architectural Higher Vocational Colleges Based on Behavior Sequence Analysis[J].Journal of Jiujiang Vocational and Techinical College,2020(1):19-23. |
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| Authors: | Qin Xiubo Zhou Guodong |
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| Institution: | (Shandong Urban Construction Vocational College,Ji’nan,Shandong,250103) |
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| Abstract: | Intelligent education is a new paradigm of the application of information education,and the learning and analysis technology will surely produce unpredictable value with the application of big data in the development of intelligent education.By analyzing the behavior sequence as the mainstream learning analysis technology,combining with the cluster analysis and the related analysis,the author makes an empirical exploration on the behavior sequence and participation mode of the online learning course of higher vocational students,and concludes that the online learning behavior sequence frequency and the behavior sequence with significant correlation with the achievement are further divided into four types of learning activity participation mode:low input type,shallow input type,target input type and deep participation type according to the online learning behavior transformation map.Finally,the online teaching and learning process,effective behavior sequence,students'best participation mode and online course design are discussed and summarized,with a view to the analysis,evaluation,improvement and reference of students'online learning in higher vocational colleges. |
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| Keywords: | behavioral sequence analysis learning characteristics vocational students online learning |
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