Baruth Orit, Cohen Anat
School of Education, Tel Aviv University, Ramat Aviv, P.O.B 39040, 69978 Tel Aviv, Israel.
Educ Inf Technol (Dordr). 2023;28(1):879-904. doi: 10.1007/s10639-022-11199-x. Epub 2022 Jul 7.
Online courses have become widespread in higher education. Yet, despite their prevalence, they may not suit all learners. Personality influences learner satisfaction and therefore affects learning experience. This study explores the relation between personality traits (using Costa & McCare's Big-Five model) and student satisfaction with various of learning activities offered in online courses, called Techno-Pedagogical Learning Solutions (TPLS). The tested TPLS were discussion groups, digital books, online assignments, surveys/polls and media. Questionnaires were used to measure personality types and satisfaction of 108 university students enrolled in a credited online academic course. Significant correlations were found between all five personality traits and satisfaction with several TPLS. Cluster analysis method was applied to identify learners with similar personality traits. Four groups were formed and group's satisfaction score was measured. It was found that learners assigned to the "neurotic" group exhibited low satisfaction with all TPLS, contrary to learners assigned to the "non-neurotic" group. The findings clearly indicate that personality plays a significant role in online learner satisfaction. Thus, personality traits should be considered when designing learning activities for online courses. Such personality-based personalization may ensure that no learner is left behind, regardless of his\ her attitude toward online learning.
在线课程在高等教育中已变得十分普遍。然而,尽管它们很流行,但可能并不适合所有学习者。个性会影响学习者的满意度,进而影响学习体验。本研究探讨了个性特质(使用科斯塔和麦克雷的大五人格模型)与学生对在线课程中提供的各种学习活动(称为技术教学学习解决方案,TPLS)的满意度之间的关系。所测试的TPLS包括讨论组、数字图书、在线作业、调查/投票和媒体。通过问卷调查来衡量108名注册了一门获得学分的在线学术课程的大学生 的个性类型和满意度。研究发现,所有五种个性特质与对几种TPLS的满意度之间都存在显著相关性。应用聚类分析方法来识别具有相似个性特质的学习者。形成了四个组,并测量了各组的满意度得分。结果发现,被归为“神经质”组的学习者对所有TPLS的满意度都很低,这与被归为“非神经质”组的学习者相反。研究结果清楚地表明,个性在在线学习者满意度中起着重要作用。因此,在设计在线课程的学习活动时应考虑个性特质。这种基于个性的个性化设计可以确保无论学习者对在线学习的态度如何,都不会有人掉队。