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一种用于通过计算机辅助教学识别成功学习者特征的回归模型。

A regression model to identify successful learner traits with CAI.

作者信息

Paulanka B J

出版信息

J Med Syst. 1986 Apr;10(2):121-38. doi: 10.1007/BF00993119.

DOI:10.1007/BF00993119
PMID:3528369
Abstract

This descriptive study examined the personality traits and instructional time factors of successful and nonsuccessful students who utilized computer-assisted instruction (CAI) to learn psychopharmacological nursing. Data from this study support the contention that there is beginning evidence to imply that there are certain individual traits that can be utilized to predict successful learning with CAI. The stepwise multiple regression analysis utilized in this study identified 17 variables that contributed to successful learning. Specific academic, cognitive, demographic, and philosophical indicators emerged as the most consistent predictors of learning associated with these psychopharmacological lessons presented on the PLATO system. These results and others are explored in terms of their educational implications, and suggestions are made for future research that can be used to plan more effective and efficient use of computers in nursing education.

摘要

这项描述性研究考察了使用计算机辅助教学(CAI)学习精神药理学护理的成功与不成功学生的人格特质和教学时间因素。该研究的数据支持了这样一种观点,即有初步证据表明某些个体特质可用于预测CAI学习的成功。本研究中使用的逐步多元回归分析确定了17个有助于成功学习的变量。具体的学术、认知、人口统计学和哲学指标成为与PLATO系统上呈现的这些精神药理学课程相关的学习最一致的预测因素。将根据这些结果的教育意义进行探讨,并对未来研究提出建议,这些研究可用于规划在护理教育中更有效和高效地使用计算机。

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本文引用的文献

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