How Hands-On Assessments Can Boost Retention, Satisfaction, Skill Development, and Career Outcomes in Online Courses

Alexander T. Urban
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Abstract

Hands-on assessments provide active opportunities for students to practice new skills they have just learned. Massive open online course (MOOC) platforms offer a uniquely large dataset to track the impact of hands-on assessments on learners’ skill development, satisfaction, and career trajectory. While existing MOOC literature explore enrollment and demographic data, few have investigated the outcomes for learners who engage with different types of assessments within these online courses. This article is important because it quantifies the learner impact of hands-on experiences in MOOCs. With innovative analytics and hundreds of millions of course enrollments, online course platforms can shed light on the influence of alternative teaching decisions and assessment types. MOOCs offer data to quantify individual learners’ skill development in different topics before averaging across all course completers. Metrics, such as satisfaction, utilize learners’ self-reported star ratings of course material. Finally, for career outcomes, MOOC platforms can interact with learners after completing an online course to ask them how the content impacted their job-related outcomes, such as confidence in their role, receiving a promotion, or starting a new position. Control variables such as course domain, instructor characteristics, and learner demographics provide researchers with a robust dataset and thorough methodology to systematically track the benefits of hands-on opportunities in online content. This article examines the content structure and learning behavior data on a MOOC platform. The goal of this empirical study was to examine the impact of hands-on assessments on learner outcomes, including retention, satisfaction, skill development, and career outcomes.
实践评估如何提高在线课程的留存率、满意度、技能发展和职业成果
实践评估为学生提供了实践他们刚刚学到的新技能的积极机会。大规模在线开放课程(MOOC)平台提供了一个独特的大型数据集,用于跟踪动手评估对学习者技能发展、满意度和职业轨迹的影响。虽然现有的MOOC文献探讨了注册和人口统计数据,但很少有人调查了在这些在线课程中参与不同类型评估的学习者的结果。这篇文章很重要,因为它量化了mooc中实践经验对学习者的影响。通过创新的分析和上亿的课程注册,在线课程平台可以揭示不同教学决策和评估类型的影响。mooc提供数据,量化个体学习者在不同主题上的技能发展,然后对所有课程完成者进行平均。满意度等指标利用学习者对课程材料自我报告的星级评价。最后,对于职业成果,MOOC平台可以在学习者完成在线课程后与他们互动,询问他们课程内容如何影响他们的工作相关成果,例如对自己角色的信心、获得晋升或开始新的职位。控制变量,如课程领域,教师特征,和学习者人口统计为研究人员提供了一个强大的数据集和彻底的方法,以系统地跟踪在线内容的实践机会的好处。本文研究了MOOC平台上的内容结构和学习行为数据。本实证研究的目的是检验实践评估对学习者成果的影响,包括留任、满意度、技能发展和职业成果。
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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