ABSTRACT With the wide adoption of online platforms in education, having the content organised and readily available for the learners to self-assess their progress is crucial to ensure academic success. However, without the support of an active mentor, it might be difficult for the learners to guide themselves on how to accurately evaluate their learning outcome. This article focuses on how students benefited from self-assessing their programming course progress using an adaptive platform, namely QuizIT. We discuss the self-assessment procedure and development as it progresses into an open student model learning platform. The initial release was designated to assist programming novices as they encounter the programming learning journey. It was then followed by an extension to open the possibilities to the learner by having access to the learning model and gaining more control over the assessment experience. Quiz Adapt, was the set of features that provided an adaptive recommender based on an open learner model. The data collected from four study setups are evaluated to show the impact on the learning gain from interacting with the system. In addition, this paper sheds light on the effectiveness of daily learning opportunities in the introductory phase of education.

中文翻译：

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利用问题解决：从自我评估到自我调节

摘要 随着在线平台在教育中的广泛采用，组织内容并让学习者随时可用以自我评估他们的进步对于确保学业成功至关重要。然而，如果没有积极导师的支持，学习者可能很难指导自己如何准确地评估他们的学习成果。本文重点介绍学生如何从使用自适应平台（即 QuizIT）自我评估其编程课程进度中受益。我们讨论了自我评估程序和发展，因为它进入了一个开放的学生模型学习平台。最初的版本旨在帮助编程新手遇到编程学习之旅。然后是扩展，通过访问学习模型并获得对评估体验的更多控制，为学习者打开可能性。Quiz Adapt 是一组基于开放学习器模型提供自适应推荐的功能。评估从四个研究设置收集的数据，以显示与系统交互对学习收益的影响。此外，本文还阐明了教育入门阶段日常学习机会的有效性。