不易偏离轨道:完成非正规在线课程的学习者的动机轨迹

IF 9 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in Human Behavior Pub Date : 2024-06-03 DOI:10.1016/j.chb.2024.108322
Maria Klose , Philipp Handschuh , Diana Steger , Cordula Artelt
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引用次数: 0

摘要

非正规学习在日常生活中越来越重要。开放式在线学习机会和在线课程参与者的数量都在持续增长。最初的学习者表示学习动机很强,但完成率往往很低。在本研究中,我们考察了学习者完成非正规在线课程的动机轨迹。为此,巴伐利亚大学提供的 49 门开放式在线课程的 450 名学习者在整个课程期间填写了多达三份在线问卷。首先,我们使用潜特征分析法探索了情景动机五个子类型中的动机轨迹,得出了四种不同的动机特征。然而,随着时间的推移,所有轮廓都具有显著的稳定性,只有五个动机亚型的实际水平存在差异。其次,我们使用了二元潜变得分模型,重点分析内在动机与情境兴趣同时分析时的变化差异。此外,我们还将自我调节和掌握目标导向作为动机变化的预测因素。在内在动机方面,从 T1 到 T2 只有很小的平均变化和补偿效应。鉴于非正规在线课程的辍学率较高,我们对研究结果进行了讨论,并就如何在未来研究中更好地解决未完成课程者的问题提出了实用建议。
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Not easy to get off track: Motivational trajectories of learners completing a non-formal online course

Non-formal learning is becoming increasingly important in everyday life. Both the availability of open online learning opportunities and the number of participants in online courses continue to grow. Initially learners report high levels of motivation, but completion rates tend to be low. In the present study, we examined motivational trajectories of learners completing a non-formal online course. To this end, 450 learners of 49 open online courses offered by Bavarian universities completed up to three online questionnaires throughout the course. First, we used latent profile analysis to explore motivational trajectories within five subtypes of situational motivation, which resulted in four different motivational profiles. However, all profiles were characterized by remarkable stability over time, and differences only in the actual levels of the five motivational subtypes. Second, we used bivariate latent change score models to focus on differences of change in intrinsic motivation when analyzing simultaneously with situational interest. In addition, we considered self-regulation and mastery goal orientation as predictors of change in motivation. For intrinsic motivation there was only a small mean change and compensating effect from T1 to T2. We discuss the findings in the light of the fact that there are high dropout rates in non-formal online courses and offer practical advice on how to better address non-completers in future research.

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来源期刊
CiteScore
19.10
自引率
4.00%
发文量
381
审稿时长
40 days
期刊介绍: Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.
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