Comparing learners' affect while using an intelligent tutoring system and a simulation problem solving game

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5091 LNCS, Issue , 2008, Pages 40-49

  Rodrigo, Ma Mercedes T ^a   Baker, Ryan S J D ^b   D'Mello, Sidney ^c   Gonzalez, Ma Celeste T ^a   Lagud, Maria C V ^a   Lim, Sheryl A L ^a   MacApanpan, Alexis F ^a   Pascua, Sheila A M S ^a   Santillano, Jerry Q ^a   Sugay, Jessica O ^a   Tep, Sinath ^a   Viehland, Norma J B ^a  

^a ATENEO DE MANILA UNIVERSITY   (Philippines)

^b Carnegie Mellon University   (United States)

^c UNIVERSITY OF MEMPHIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EDUCATIONAL GAME; INTELLIGENT TUTORING; INTELLIGENT TUTORING SYSTEM; INTERACTIVITY; LEARNING ENVIRONMENTS;

LEARNING SYSTEMS;

EID: 68149161131     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69132-7_9     Document Type: Conference Paper

References (25)

1. Alessi, S.M., Trollip, S.R.: Multimedia for Learning: Methods and Development, 3rd edn. Allyn & Bacon, Needham Heights (2001)
2. Anderson, J.R., Corbett, A.T., Koedinger, K.R., Pelletier, R.: Cognitive tutors: Lessons learned. The Journal of the Learning Sciences 4(2), 167-207 (1995)
3. Baker, R.S., Corbett, A.T., Koedinger, K.R., Wagner, A.Z.: Off-Task Behavior in the Cognitive Tutor Classroom: When Students "Game the System". In: Proceedings of ACM CHI 2004: Computer-Human Interaction, pp. 383-390 (2004)
4. Baker, R.S.J.d., Rodrigo, M.M.T., Xolocotzin, U.: The dynamics of affective transi-tions in simulation problem-solving environments. In: Paiva, A., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol.4738, pp. 666-677. Springer, Heidelberg (2007)
5. Bragg, L.: Students' conflicting attitudes towards games as a vehicle for learning mathematics: A methodological dilemma. Mathematics Education Research Journal 19(1), 29-44 (2007)
6. Brown, J.S.: New learning environments for the 21st century. The Magazine of Higher Learning 38(5), 18-24 (2005)
7. Cohen, J.: A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement 20, 37-46 (1960)
8. Cordova, D.I., Lepper, M.R.: Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. Journal of Educational Psychology 88, 715-730 (1996)
9. Craig, S.D., Graesser, A.C., Sullins, J., Gholson, B.: Affect & learning: an exploratory look into the role of affect in learning with AutoTutor. Journal of Educational Media 29(3), 241-250 (2004)
10. Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper and Row, New York (1990)
11. D'Mello, S.K., Craig, S.D., Witherspoon, A., McDaniel, B., Graesser, A.: Integrating affect sensors in an intelligent tutoring system. In: Affective Interactions: The Computer in the Affective Loop Workshop. In conjunction with International conference on Intelligent User Interfaces, pp. 7-13 (2005)
12. Dreisbach, G., Goschke, T.: How positive affect modulates cognitive control: Reduced perseveration at the cost of increased distractability. Journal of Experimental Psychology: Learning, Memory, and Cognition 30(2), 343-353 (2004)
13. Gee, J.P.: What video games have to teach us about learning and literacy. Palgrave Macmillan, New York (2003);
14. Keller, C.: Motivational Design of Instruction. In: Reige-luth, C.(ed.) Instructional Design Theories and Models: An Overview of their current status. Lawrence Erlbaum Associates, Mahwah (1983)
15. Jackson, G.T., Graesser, A.C.: Content Matters: An investigation of feedback categories within an ITS. In: Luckin, R., Koedinger, K., Greer, J. (eds.) Artificial Intelli-gence in Education: Building Technology Rich Learning Contexts that Work. IOS Press, Amsterdam (2007)
16. Keller, J.M.: Strategies for Stimulating the Motivation to Learn. Performance and Instruction Journal 28(8), 1-7 (1987)
17. Lee, J., Luchini, K., Michael, B., Norris, C., Solloway, E.: More than just fun and games: Assessing the value of educational video games in the classroom. In: Proceedings of ACM SIGCHI 2004, pp. 1375-1378 (2004)
18. Nicaud, J.F., Bouhineau, D., Chaachoua, H.: Mixing microworld and CAS features in building computer systems that help student learn algebra. International Journal of Computers for Mathematical Learning 9(2), 169-211 (2004)
19. Nicaud, J.F., Bouhineau, D., Mezerette, S., Andre, N.: Aplusix II [Computer software] (2007)
20. Prensky, M.: Digital Game-Based Learning. Paragon House, St. Paul (2007)
21. 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.: Affect and usage choices in simulation problem-solving environments. In: Luckin, R., Koedinger, K.R., Greer, J. (eds.) Artificial Intelligence in Education: Building Technology Rich Learning Contexts that Work. IOS Press, Amsterdam (2007)
22. Sierra Online, The Incredible Machine: Even More Contraptions [Computer Software] (2001)
23. Schofield, J.W.: Computers and Classroom Culture. Cambridge University Press, Cambridge (1995)
24. VanLehn, K.: The behavior of intelligent tutoring systems. International Journal of Artificial Intelligence in Education 16(3), 227-265 (2006)
25. Vogel, J.J., Greenwood-Ericksen, A., Cannon-Bowers, J., Bowers, C.A.: Using virtual reality with and without gaming attributes for academic achievement. Journal of Research on Technology in Education 39(1), 105-118 (2006)