文章基本信息

标题：A Model-Based Behavior Analysis Approach for Open-Ended Environments
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作者：James R. Segedy ; Gautam Biswas ; Brian Sulcer 等
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2014
卷号：17
期号：1
页码：272-282
出版社：IFETS - Attn Kinshuck
摘要：Open-ended learning environments (OELEs) are learner-centered, and they provide students with opportunities to take part in authentic and complex problem-solving tasks. These experiences may support deeper learning and the development of strategies that support future learning. However, many students struggle to succeed in such complex learning endeavors. Without proper adaptive scaffolding, these students often use system tools incorrectly and adopt suboptimal learning strategies. Developing adaptive scaffolds for students in OELEs poses significant challenges, and relatively few OELEs provide students with such support. This paper develops a model-based approach to interpreting and evaluating the actions students take as they learn in an OELE using a model of the cognitive and metacognitive processes that are important for completing the complex learning tasks. The model provides a means for classifying and assessing students' learning behaviors as they work on the system, and it allows the system to identify opportunities to offer adaptive scaffolds to students. An evaluation of the analysis technique is presented in the context of Betty's Brain, an OELE designed to help middle school students learn about science content.
关键词：Open-ended learning environment; Model-based assessment; Adaptive scaffolding; Performance metrics