当前位置: X-MOL 学术J. Comput. High Educ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Factors affecting student dropout in MOOCs: a cause and effect decision‐making model
Journal of Computing in Higher Education ( IF 4.045 ) Pub Date : 2019-10-17 , DOI: 10.1007/s12528-019-09241-y
Hanan Aldowah , Hosam Al-Samarraie , Ahmed Ibrahim Alzahrani , Nasser Alalwan

Massive open online courses (MOOCs) are among the latest e-learning initiative that have gained a wide popularity among many universities. Student dropout in MOOCs is a major concern in the higher education and policy-making communities. Most student dropout is caused by factors outside the institution’s control. In this study, a multiple-criteria decision-making method was used to identify the core factors and possible causal relationships responsible for the high dropout rate in MOOCs. Twelve factors, distributed across four dimensions, related to students’ dropout from online courses were identified from the literature. Then, a total of 17 experienced instructors in MOOCs from different higher education institutions were invited to assess the level of influence of these factors on each other. The results identified six core factors that directly influenced student dropout in MOOCs, these were: academic skills and abilities, prior experience, course design, feedback, social presence, and social support. Other factors such as interaction, course difficulty and time, commitment, motivation, and family/work circumstances were found to play a secondary role in relation to student dropout in MOOCs. The causal relationships between the primary and secondary factors were mapped and described. Outcomes from this study can offer the necessary insights for educators and decision makers to understand the cause–effect relationships between the factors influencing MOOC student dropout, thus providing relevant interventions in order to reduce the high dropout rate.

中文翻译:

影响MOOC学生辍学的因素:因果决策模型

大规模的在线公开课程(MOOC)是最新的电子学习计划之一,在许多大学中都得到了广泛的普及。MOOC中的学生辍学是高等教育和政策制定社区的主要关注点。大多数学生辍学是由学校无法控制的因素造成的。在这项研究中,采用多准则决策方法来确定导致MOOC高辍学率的核心因素和可能的因果关系。从文献中确定了十二个因素,这些因素分布在四个维度上,与学生退出在线课程有关。然后,邀请了来自不同高等教育机构的MOOC中的17位经验丰富的讲师来评估这些因素彼此之间的影响程度。结果确定了六个直接影响学生在MOOC中辍学的核心因素,这些因素是:学术技能和能力,既往经验,课程设计,反馈,社会存在和社会支持。发现其他因素,例如互动,课程难度和时间,承诺,动力以及家庭/工作环境,与MOOC中学生辍学的关系起次要作用。绘制并描述了主要和次要因素之间的因果关系。这项研究的结果可以为教育工作者和决策者提供必要的见解,以了解影响MOOC学生辍学的因素之间的因果关系,从而提供相关干预措施,以降低高辍学率。先前的经验,课程设计,反馈,社交存在和社交支持。发现其他因素,例如互动,课程难度和时间,承诺,动力以及家庭/工作环境,与MOOC中学生辍学的关系起次要作用。绘制并描述了主要和次要因素之间的因果关系。这项研究的结果可以为教育工作者和决策者提供必要的见解,以了解影响MOOC学生辍学的因素之间的因果关系,从而提供相关干预措施,以降低高辍学率。先前的经验,课程设计,反馈,社交存在和社交支持。发现其他因素,例如互动,课程难度和时间,承诺,动力以及家庭/工作环境,与MOOC中学生辍学的关系起次要作用。绘制并描述了主要和次要因素之间的因果关系。这项研究的结果可以为教育工作者和决策者提供必要的见解,以了解影响MOOC学生辍学的因素之间的因果关系,从而提供相关干预措施,以降低高辍学率。并且发现家庭/工作环境在MOOC学生辍学方面起次要作用。绘制并描述了主要和次要因素之间的因果关系。这项研究的结果可以为教育工作者和决策者提供必要的见解,以了解影响MOOC学生辍学的因素之间的因果关系,从而提供相关干预措施,以降低高辍学率。并且发现家庭/工作环境在MOOC学生辍学方面起次要作用。绘制并描述了主要和次要因素之间的因果关系。这项研究的结果可以为教育工作者和决策者提供必要的见解,以了解影响MOOC学生辍学的因素之间的因果关系,从而提供相关干预措施,以降低高辍学率。
更新日期:2019-10-17
down
wechat
bug