Modifying field observation methods on the fly: Creative Metanarrative and Disgust in an environmental MUVE

CEUR Workshop Proceedings

Volumn 1181, Issue , 2014, Pages 49-54

  Ocumpaugh, Jaclyn ^a   Baker, Ryan S ^a   Kamarainen, Amy M ^b   Metcalf, Shari J ^c  

^a Teachers College Columbia University ^*  (United States)

^b NY Hall of Science ^*  (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; DISTANCE EDUCATION; VIRTUAL REALITY;

AUTOMATED DETECTION; BEHAVIOR DETECTION; FIELD OBSERVATIONS; LEARNING ENVIRONMENTS; MONITORING PROTOCOL; MULTI-USER VIRTUAL ENVIRONMENT; ON-LINE EDUCATION; STUDENT ENGAGEMENT;

E-LEARNING;

EID: 84925238441     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Arroyo, I., Park Woolf, B., Cooper, D., Burleson, W., Muldner, K. (2011). The impact of animated pedagogical agents on girls' & boys' emotions, attitudes, behaviors & learning. 11th Int. Conf. Adv. Learning Tech. (ICALT), 506-510.
2. Baker, R.S., Corbett, A., Koedinger, K., Wagner, A. (2004). Off-Task Behavior in the Cognitive Tutor Classroom: When Students "Game The System." Proc. ACM CHI: Computer-Human Interaction, 383-390.
3. Baker, R.S., Corbett, A.T., Koedinger, K.R. (2004). Detecting Student Misuse of Intelligent Tutoring Systems. Proc. 7th Int. Conf. Intell. Tutoring Sys, 531-540.
4. Baker, R.S., Gowda, S.M., Wixon, M., Kalka, J., Wagner, A., Salvi, A., Aleven, V., Kusbit, G., Ocumpaugh, J., Rossi, L. (2012). Towards Sensor-free Affect Detection in Cog Tutor Algebra. Proc. 5th Int. Conf. Ed. Data Mining, 126-133.
5. Baker, R.S., Ocumpaugh, J., Gowda, S.M., Kamarainen, A., Metcalf, S. (in press) Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science. Proc. 22nd Conf. User Modelling, Adaptation, & Personalization.
6. Calvo, R. A., & D'Mello, S. (2010). Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing, 1(1),18-37.
7. D'Mello, S., Craig, S., Witherspoon, A., McDaniel, B., Graesser, A. (2005). Integrating affect sensors in an intelligent tutoring system. Affective Interactions: The Comp. in the Affective Loop Wkshp, Int. Conf. Intell. User Interfaces, 7-13.
8. D'Mello, S., Graesser, A. (2011). The half-life of cognitive-affective states during complex learning. Cognition & Emotion 25(7),1299-1308.
9. Godwin, K.E., Almeda, M.V., Petroccia, M., Baker, R.S., Fisher, A.V. (2013) Classroom activities and off-task behavior in elementary school children. Proc. Annu. Meet. Cog. Sci. Soc., 2428-2433.
10. Lehman, B., D'Mello, S., Strain, A., Millis, C., Gross, M., Dobbins, A., Wallace, P., Millis, K., & Graesser, A. (2013). Inducing and tracking confusion with contradictions during complex learning, Int. J. Artificial Intell. Ed., 22(2),85-105.
11. Liu, Z., Pataranutaporn, V., Ocumpaugh, J., Baker, R. (2013). Sequences of Frustration & Confusion, & Learning. Proc. Int. Conf. Ed. Data Mining, 114-120.
12. Magnussen, R., Misfeldt, M. (2004). Player Transformation of Educational Multiplayer Games. Proc. Other Players. Copenhagen, Denmark.
13. Metcalf, S., Kamarainen, A., Tutwiler, M.S., Grotzer, T., Dede C. (2011). Ecosystem science learning via multi-user virtual environments. Int. J. Gaming & Computer-Mediated Simulations. 3(1), 86.
14. Ocumpaugh, J., Baker, R.S.J.d., Rodrigo, M.A. (2012). The Baker-Rodrigo Observation Method Protocol (BROMP) 1.0 Training Manual.
15. Pardos, Z. A., Baker, R. S., San Pedro, M. O., Gowda, S. M., & Gowda, S. M. (2013). Affective states and state tests: Investigating how affect throughout the school year predicts end of year learning outcomes. Proc. 3rd Int.Conf. Learning Analytics & Knowledge, 117-124.
16. Rodrigo, M.M.T., Baker, R.S.J.d., Lagud, M.C.V., Lim, S.A.L., Macapanpan, A.F., Pascua, S.A.M.S., Santillano, J.Q., Sevilla, L.R.S., Sugay, J.O., Tep, S., Viehland, N.J.B. (2007). Affect and Usage Choices in Simulation Problem Solving Environments. Proc. Artificial Intell. Ed. 145-152.
17. Rowe, J. P., Shores, L. R., Mott, B. W., & Lester, J. C. (2010). A framework for narrative adaptation in interactive story-based learning environments. Proc. of the Intell. Narrative Technologies III Workshop 14.
18. Wixon, M., Baker, R.S.J.d., Gobert, J., Ocumpaugh, J., Bachmann, M. (2012). WTF? Detecting Students who are Conducting Inquiry Without Thinking Fastidiously. Proc. Int. Conf. User Modeling, Adapt. & Personalization, 286-298.