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适应式电子学习数据在预测牙科学生在混合学习课程中的学习表现方面的实用性

Farhan H Alwadei¹, Blasé P Brown², Saleh H Alwadei¹

¹Department of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia.

International journal of medical education

|October 9, 2023

概括

牙科学生的自适应学习平台 (ALP) 使用模式,如活动改进和及时目标,影响了考试成绩. 然而,累积的GPA和前测试成绩是最终考试成绩的最强有力的预测指标.

科学领域:

医学教育医学教育
教育技术的教育技术
牙科学校的表现牙科学校的表现

背景情况:

适应式学习平台 (ALP) 在牙科教育中越来越多地使用.
了解ALP中的学生使用模式对于优化学习成果至关重要.
具体的ALP参与指标对学业成绩的影响需要进一步调查.

研究的目的:

分析牙科学生在自适应学习平台 (ALP) 中的使用模式与最终考试成绩之间的关系.
确定与ALP相关的具体指标,预测学习成果.
确定ALP使用与传统学术指标在解释学生成功方面的相对贡献.

主要方法:

从115名牙科二年级学生的ALP和学术记录 (GPA,测试前和测试后的分数) 的使用数据的回顾性收集.
分析使用相关系数和线性回归来评估ALP变量和人口/学术数据对测试后分数的影响.
对ALP特定指标和已建立的学术指标之间的预测能力进行比较.

主要成果:

最初,ALP变量如活动改进,及时完成目标和修订预测了测试后的得分 (R2=0.296).
然而,活动总数与业绩有负相关性.
增加性别,GPA和测试前分数显著增加了解释差异 (R2=0.689),累积GPA和测试前分数成为最强的预测因素.

结论:

适应式学习平台 (ALP) 使用数据为学生的学习行为提供了洞察力.
虽然ALP参与度很重要,但传统的学术指标,如累积GPA和前测试成绩,是牙科学生成功的更强有力的预测指标.
建议在未来的干预研究中对ALP数据进行上下文分析.

关键词:

适应性学习是一种适应性学习.适应式学习分析计算机辅助教学是指计算机辅助教学.教育技术的教育技术.学习分析学习分析.自主调节的学习学习.

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