职前教育学生的电子学习参与

IF 1.3 Q3 EDUCATION, SCIENTIFIC DISCIPLINES
Edson B. Bilocura, Mauricio S. Adlaon, Rhea Mae O. Cuyag
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引用次数: 0

摘要

本研究的目的是确定选定的职前教育学生在在线远程学习中的电子学习投入,并确定电子学习投入是否根据学生的个人资料变量而变化。该调查的研究小组包括275名就读于苏里高州立理工学院城市校区的一年级至三年级理科、理工和数学专业的学生。采用自行制作的问卷,采用Cronbach Alpha内部一致性系数(α=0.85)对整个量表(20个项目)进行信度验证和检验。随后通过谷歌表格分发基于网络的调查问卷。收集的数据采用频率、百分比计数、平均值、标准差和方差分析(ANOVA)进行处理。采用描述性调查研究设计。研究结果表明,学生的行为、社会、认知和技术参与总体上是积极的。其中,社交参与度得分非常高,平均得分为2.97 (SD=0.53),而技术参与度得分最低,平均得分为2.71 (SD=0.55),表明学生的在线学习参与度较低,因为网络连接不稳定是导致学生频繁缺课的主要技术问题。此外,移动电话设备被认为是帮助学生管理在线学习系统的最有用的信息通信技术工具。此外,研究发现,学生的电子学习参与度不会因性别和家庭收入而有所不同。然而,学生的年龄、年级、课程和专业以及在模块化和在线课程中使用的工具都有显著差异,这表明职前教育学生的个人资料差异对他们的在线学习参与有直接影响。结果表明,需要通过提供学习者的在线学习需求来维持利益相关者之间的社会互动,增加学生的在线资源和社区支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
E-Learning Engagements of Pre-Service Education Students
This study aimed to ascertain the e-learning engagements of selected Pre-service Education students in online distance learning and determined whether the e-learning engagements vary based on the student’s profile variables. The study group of the survey comprised 275 first to third-year students of BSED-Sciences, BTVTED and BSED-Mathematics enrolled at Surigao State College of Technology (SSCT), City Campus. A researchers-made questionnaire was used, validated and tested for reliability using Cronbach Alpha internal consistency coefficient with (α=0.85) for the entire scale (20 items). Distribution of web-based questionnaires through Google Forms followed. The data collected were treated using frequency, percentage count, mean, standard deviation, and analysis of variance (ANOVA). A descriptive survey research design was also employed. Study results indicated that the behavioral, social, cognitive, and technological engagements of the students were generally positive. Particularly, social engagement rated very high with a mean score of 2.97 (SD=0.53) meanwhile, technological engagement rated a lowest mean value of 2.71 (SD=0.55) signifying that students’ e-learning engagement is lesser as unstable internet connection was found to be the main technological problem which caused students to get frequent absences during online classes. Additionally, mobile phone devices revealed to be the most useful ICT tool to assist students’ in managing the online learning system. Moreover, the e-learning engagements were found not to vary based on students’ sex and family income. However, students’ age, year level, program and specialization and gadgets used in modular and online classes made a significant difference which shows that the profile differences of Pre-service education students contribute a direct effect towards their online learning engagement. Implications from the results recommend a need to sustain social interaction between stakeholders, increased students’ online resources and community support by provision of learners’ online learning demands.
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来源期刊
自引率
23.10%
发文量
45
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