標題: Towards Automatically Detecting Whether Student Is in Flow
作者: Lee, Po-Ming
Jheng, Sin-Yu
Hsiao, Tzu-Chien
分子醫學與生物工程研究所
資訊工程學系
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
公開日期: 1-Jan-2014
摘要: Csikszentmihalyi\'s flow theory states the components (e. g., balance between skill and challenge) that lead to an optimal state (referred to as flow state, or under flow experience) of intrinsic motivation and personal experience. Recent research has begun to validate the claims stated by the theory and extend the provided statements to the design of pedagogical interactions. To incorporate the theory in a design, automatic detector of flow is required. However, little attention has been drawn to this filed, and the detection of flow is currently still dominated by using surveys. Hence, within this paper, we present an automated detector which is able to identify the students that are in flow. This detector is developed using a step regression approach, with data collected from college students learning linear algebra from a step-based tutoring system.
URI: http://hdl.handle.net/11536/25281
ISBN: 978-3-319-07221-0; 978-3-319-07220-3
ISSN: 0302-9743
期刊: INTELLIGENT TUTORING SYSTEMS, ITS 2014
Volume: 8474
Issue: 
起始頁: 11
結束頁: 18
Appears in Collections:Conferences Paper