Affective e-Learning: Using "Emotional" Data to Improve Learning in Pervasive Learning Environment

Autor/inn/en	Shen, Liping; Wang, Minjuan; Shen, Ruimin
Titel	Affective e-Learning: Using "Emotional" Data to Improve Learning in Pervasive Learning Environment
Quelle	In: Educational Technology & Society, 12 (2009) 2, S.176-189 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Feedback (Response); Student Attitudes; Learning Experience; Foreign Countries; Learning Processes; Instructional Effectiveness; College Students; Virtual Universities; Computer System Design; Computer Software; Computer Assisted Instruction; Educational Technology; Emotional Experience; Emotional Response; Psychological Patterns; Affective Behavior; Affective Measures; China (Shanghai) + Suchen Sie Ihr Suchwort? Schülerverhalten; Lernerfahrung; Ausland; Learning process; Lernprozess; Unterrichtserfolg; Collegestudent; Computer based training; Computerunterstützter Unterricht; Unterrichtsmedien; Emotionales Verhalten; Affective disturbance; Active behaviour; Affektive Störung
Abstract	Using emotion detection technologies from biophysical signals, this study explored how emotion evolves during learning process and how emotion feedback could be used to improve learning experiences. This article also described a cutting-edge pervasive e-Learning platform used in a Shanghai online college and proposed an affective e-Learning model, which combined learners' emotions with the Shanghai e-Learning platform. The study was guided by Russell's circumplex model of affect and Kort's learning spiral model. The results about emotion recognition from physiological signals achieved a best-case accuracy (86.3%) for four types of learning emotions. And results from emotion revolution study showed that engagement and confusion were the most important and frequently occurred emotions in learning, which is consistent with the findings from AutoTutor project. No evidence from this study validated Kort's learning spiral model. An experimental prototype of the affective e-Learning model was built to help improve students' learning experience by customizing learning material delivery based on students' emotional state. Experiments indicated the superiority of emotion aware over non-emotion-aware with a performance increase of 91%. (Contains 5 tables and 5 figures.) (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10