影响学生在线学习记忆的因素及建议的改进策略:系统的文献回顾

P. Muljana, Tian Luo
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引用次数: 102

摘要

目的/目的:本系统文献综述探讨影响网络学习普及程度与完成率差距的潜在因素。本文的审查范围包括观察在线学习环境中非理想完成率可能存在的因果关系,并确定提高保留率的推荐策略。背景:在线学习越来越受欢迎,在线学生数量稳步增长,但学生保留率明显低于传统环境。尽管有大量的研究,许多机构仍在寻找解决这个问题的办法。方法:对2010年至2018年间发表的40项研究进行了系统的文献综述。我们建立了一套标准来指导选择合格的文章,包括主题相关性(与研究问题一致),实证研究和出版时间框架。进一步的步骤是通过主要的数据库搜索、摘要筛选、全文分析和合成过程来执行的。贡献:本研究增加了关于高等教育背景下在线学习环境中学生保留率和策略的扩展文献。研究发现:影响因素包括机构支持、课程难度、归属感提升、学习便利程度、课程设计、学生行为特征、人口统计变量以及其他个人变量。提高学生留存率的建议策略包括早期干预、对学生的全天候支持、有效的沟通、对教师在线教学的支持、高质量的教学反馈和策略、培养积极行为特征的指导,以及利益相关者之间的合作,以支持在线学生。对从业者的建议:由于在线学习开放系统中的因素是相互关联的,我们建议在解决在线学习中的保留问题时,多方利益相关者共同努力。对研究人员的建议:我们建议学者们考虑关注每个影响因素,并建议在本研究中综合的在线学习环境中考虑学生的保留率。研究结果将进一步丰富关于在线学习环境下学生记忆的文献。未来研究:未来的研究可能会调查各种数据挖掘和分析技术,这些技术与检测和预测有风险的学生有关,学生支持和教师支持计划的有效性,以及鼓励挣扎的学生采取有效策略的方法,这些策略可能会产生积极的学习行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Contributing to Student Retention in Online Learning and Recommended Strategies for Improvement: A Systematic Literature Review
Aim/Purpose: This systematic literature review investigates the underlying factors that influence the gap between the popularity of online learning and its completion rate. The review scope within this paper includes an observation of possible causal aspects within the non-ideal completion rates in online learning environments and an identification of recommended strategies to increase retention rates. Background: While online learning is increasingly popular, and the number of online students is steadily growing, student retention rates are significantly lower than those in the traditional environment. Despite the multitude of studies, many institutions are still searching for solutions for this matter. Methodology: A systematic literature review was conducted on 40 studies published between 2010 and 2018. We established a set of criteria to guide the selection of eligible articles including topic relevance (aligned with the research questions), empirical studies, and publication time frame. Further steps were performed through a major database searching, abstract screening, full-text analysis, and synthesis process. Contribution: This study adds to expanding literature regarding student retention and strategies in online learning environments within the higher education setting. Findings: Revealed factors include institutional support, the level difficulty of the programs, promotion of a sense of belonging, facilitation of learning, course design, student behavioral characteristics, and demographic variables along with other personal variables. The recommended strategies identified for improving student retention are early interventions, at-all-times supports for students, effective communication, support for faculty teaching online classes, high-quality instructional feedback and strategies, guidance to foster positive behavioral characteristics, and collaboration among stakeholders to support online students. Recommendations for Practitioners: Since factors within the open systems of online learning are interrelated, we recommend a collective effort from multiple stakeholders when addressing retention issues in online learning. Recommendation for Researchers: We recommend that fellow scholars consider focusing on each influential factor and recommendation in regard to student retention in online learning environments as synthesized in this study. Findings will further enrich the literature on student retention in online learning environments. Future Research: Future research may investigate various data-mining and analytics techniques pertaining to detection and prediction of at-risk students, the efficacy of student support and faculty support programs, and ways to encourage struggling students to adopt effective strategies that potentially engender positive learning behaviors.
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