文章基本信息

标题：Role Blending in a Learning Environment Supports Facilitation in a Robotics Class
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作者：Ilkka Jormanainen ; Erkki Sutinen
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：294-306
出版社：IFETS - Attn Kinshuck
摘要：The open monitoring environment (OME) uses a novel data-mining approach to enhance teachers pedagogical interventions in a robotics class. According to earlier studies, decision trees resulting from an open and semi-automatic data-mining process are practically useful when classifying subsequently data arising from a robotics class. The current study shows that data-mining features of the OME can be used to predict and, hence, support learning processes also with real-time data. Results show that the data-mining features of the OME are affected by the nature and amount of data when working with a small number of students. Furthermore, the results show that the robotics-class instructors are able to modify the learning environment to match to the current context in a way that goes beyond normal teacher activities in a classroom. This role blending between a teacher and a software developer in a learning environment provides a novel way to build a personalized and contextualized support environment for a robotics class.
关键词：Robotics; Data mining; Learning environment; Teacher support