自主学习管理系统对大学生认知成绩提高的有效性

Pigultong M., Noppadol Prammanee
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引用次数: 0

摘要

学习管理系统(LMS)是提高大学生认知成绩的重要潜在学习工具。研究的目的是:(1)确定LMS的资格;(2)确定使用LMS前后认知得分的差异;(3)确定使用LMS前后认知得分的变化率。人口包括46名参加教育音频制作课程的学士学位学生。根据范忠德的27%技术,将样本分为三组。研究工具包括:(1)LMS,(2)半结构化访谈表,(3)成就测试。数据解释统计包括单因素方差分析和内容分析技术。结果表明,LMS的资格由五个部分组成:(1)学习者与教师之间的沟通渠道;(2)学习者之间的沟通渠道;(3)实现每节课的学习条件;(4)通过自我调节过程的学习进度;(5)研究结果显示,各组在前测结果上没有差异得分(F=)。558年,p = .576)。然而,使用LMS后,各组测试后得分在0.05水平上差异有统计学意义(F=5.011, p= 0.011)。三组间的后测结果比较,高、中值组间差异无统计学意义(p=.406)。高、低组在0.05水平上差异有统计学意义。(p= 0.005),中、低组在0.05水平上差异有统计学意义(p= 0.014)。使用LMS后,各组患者的认知评分分别提高了92.45% (H)、97.53% (M)和85.66% (L)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effectiveness of Self-regulated Learning Management System for Cognitive Scores Improvements of Undergraduate Students
The Learning management system (LMS) is a significant potential learning instrument to improve cognitive scores of undergraduate students. The research objectives aim to (1) determine the qualification of LMS, (2) identify the difference of cognitive scores before and after using the LMS, and (3) identify the rate of changes of cognitive scores before and after using the LMS. The population comprised 46 bachelor's degree students who enrolled in Educational Audio Production Courses. The samples were divided into three groups based on Chung-Teh Fan's 27% technique. The research instruments included (1) the LMS, (2) a semi-structured interview form, and (3) an achievement test. The data interpretation statistics included One-way ANOVA and content analysis techniques. The results showed that the qualification of the LMS consisted of five components: (1) a communication channel between learners and instructor, (2) a communication channel among learners, (3) a learning condition to achieve each lesson, (4) a learning progression through the self-regulation process, and (5) the results of the study showed that all groups had no difference score in the pre-test results (F=.558, p=.576). However, after using the LMS, all groups had a statistically significant difference in post-test scores at the level of .05 (F=5.011, p=.011). When comparing the post-test results among the three groups, there was no difference between the high and medium groups (p=.406). The high and low groups had a statistically significant difference at the level of .05. (p=.005), the medium and low groups had a statistically significant difference at the level of .05 (p=.014). The effectiveness of using the LMS found that the cognitive scores of all groups were improved 92.45% (H), 97.53% (M), and 85.66% (L).
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