Literaturnachweis - Detailanzeige
Autor/inn/en | Muñoz, Karla; Noguez, Julieta; Neri, Luis; Mc Kevitt, Paul; Lunney, Tom |
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Titel | A Computational Model of Learners Achievement Emotions Using Control-Value Theory |
Quelle | In: Educational Technology & Society, 19 (2016) 2, S.42-56 (15 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1436-4522 |
Schlagwörter | Educational Games; Psychological Patterns; Models; Academic Achievement; Bayesian Statistics; Sequential Approach; Physics; Science Instruction; Foreign Countries; Role Playing; Astronomy; Engineering Education; Undergraduate Students; Pretests Posttests; Science Tests; Simulation; Affective Measures; Introductory Courses; Computation; Accuracy; Intelligent Tutoring Systems; Mexico (Mexico City) Educational game; Lernspiel; Analogiemodell; Schulleistung; Schrittfolge; Physik; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Ausland; Rollenspiel; Astronomie; Ingenieurausbildung; Simulation program; Simulationsprogramm; Einführungskurs; Intelligentes Tutorsystem |
Abstract | Game-based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining 1 and 2. These have proven successful only in labs, or use theories of emotion not associated with an educational setting. The Control-value theory of "achievement emotions" holds that appraisals of control and value are most meaningful when determining emotion. This paper focuses on the design and evaluation of an emotional student model of Control-value theory applied to online GBL environments using Approach 2. This model is implemented using a dynamic sequence of Bayesian Networks (BNs). "PlayPhysics"--an emotional GBL environment for teaching Physics--was designed, implemented and evaluated with 118 students at ITESMCCM. To evaluate our model, we employed cross-validation and Cohen's Kappa. Our model achieved a fair to moderate accuracy of classification, but the results are promising. Future work will focus on identifying other variables that can improve classification. (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 | 2020/1/01 |