Technology-enhanced assessment visualization for smart learning environments
Technology-enhanced assessment visualization for smart learning environments
复制标题
智能学习环境的技术增强评估可视化
DOI：
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发表时间：
2019
影响因子：
4.8
通讯作者：
Renan G. Cattelan
中科院分区：
文献类型：
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作者：
H. Ferreira;Guilherme P. de Oliveira;R. Araújo;F. Dorça;Renan G. Cattelan
在智能学习环境中，学生需要了解他们的学习成绩，以便他们能够自我调节自己的学习过程。同样，如果教师能够在个人和全球范围内监督学生的进步，并预测适当的教学策略，教学过程也可以得到改善。因此，有效的学生模型，能够识别和预测学生的知识水平，是现代教育系统的关键要求。在这篇文章中，我们回顾了OSM-V，这是一个开放的学生模型，具有信息可视化功能，允许学生和教师评估教育系统中与成绩相关的信息。我们详细介绍了它的架构以及如何将其集成到课堂体验中，这是一个具有多媒体捕获功能的智能学习环境。我们还提供了对使用OSM-V的学生的效用感知和行为变化进行评估的实验的扩展结果，表明它可以积极地影响学生的学习，并积极地影响他们的学习习惯。
In Smart Learning Environments, students need to be aware of their academic performance so they can self-regulate their learning process. Likewise, the teaching process can also be improved if instructors are able to supervise the progress of students, both individually and globally, and anticipate proper pedagogical strategies. Thus, effective Student Models, capable of identifying and predicting the level of knowledge of students, are a key requirement in modern educational systems. In this article, we revisit OSM-V, an Open Student Model with Information Visualization capabilities that allow students and instructors to assess performance-related information in educational systems. We detail its architecture and how it was integrated into Classroom eXperience, a Smart Learning Environment with multimedia capture capabilities. We also present extended results from experiments that evaluate both the perception of utility and behavioral changes in students who used OSM-V, showing that it can positively impact students’ learning and positively influence their study habits.