Self-Regulated Online Learning and Students’ Attitude as Predictors of Skill Proficiency Development in Mathematics

Ken Clyde, O. Longos, Rey M. Regidor
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Abstract

This study aimed to determine if self-regulated online learning and student’s attitude were predictors of skill proficiency development in Mathematics. 200 GE 4 students of UM North Campuses were the respondents of this research. The statistical tools used were Mean, Pearson-r, and Regression Analysis. Quantitative non-experimental research utilizing correlational technique with regression analysis was the research design of this paper. Results revealed high self-regulated online learning among GE 4 students in terms of metacognitive skill, time management, environmental structuring, persistence, and help seeking was high. The level of students’ attitude towards learning Mathematics yielded a descriptive equivalent of high confidence in Mathematics, the importance of Mathematics, and engagement in Mathematics. The level of skill proficiency development of the students in Mathematics yielded a high-level result in terms of conceptual understanding, procedural fluency, strategic competence, adaptive reasoning, and productive disposition. There was a positive significant relationship between self-regulated online learning and students’ attitude to skill proficiency development in Mathematics. However, between the two independent variables, students’ attitude was the only predictor of skill proficiency development in Mathematics.
自我调节在线学习和学生态度对数学技能熟练度发展的影响
摘要本研究以澳大北校区200名小学四年级学生为调查对象,探讨自主在线学习和学生态度对数学技能熟练度发展的影响。使用的统计工具为Mean、Pearson-r和回归分析。本文的研究设计是利用相关技术和回归分析进行定量非实验研究。结果显示,高自律网络学习在元认知技能、时间管理、环境结构、持久性和求助方面表现优异。学生对数学学习的态度水平产生了对数学的高度信心、数学的重要性和对数学的参与的描述性等量。学生的数学技能熟练程度发展水平在概念理解、程序流畅性、策略能力、适应性推理和生产倾向方面取得了较高的成绩。自我调节在线学习与学生对数学技能熟练度发展的态度之间存在显著的正相关。然而,在两个自变量之间,学生的态度是数学技能熟练度发展的唯一预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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