Raising Confidence Levels Using Motivational Contingency Design Techniques (original) (raw)
References
Ames, C.: Classroom goals, structures, and student motivation. Journal of Educational Psychology 84(3), 261–271 (1992) Article Google Scholar
Bandura, A.: Self-efficacy: The exercise of control. W.H. Freeman, New York (1997) Google Scholar
Beck, J.E.: Using response times to model student disengagement. Proceedings of Workshop on Social and Emotional Intelligence in Learning Environments. Held at International Conference on Intelligent Tutoring Systems, ITS 2004, Maceio, Brazil, August 31 (2004) Google Scholar
Beffa-Negrini, P.A., Cohen, N.L., Miller, B.: Strategies to motivate students in online learning environments. Journal of Nutrition Education and Behavior 34, 334–340 (2002) Article Google Scholar
Carroll, K.: Sing a Song of Science. Zephyr Press, Chicago (1999) Google Scholar
Corno, L.: Conative individual differences in learning. In: Collis, J.M., Messick, S. (eds.) Intelligence and Personality: Bridging the gap in theory and measurement, pp. 121–138. Lawrence Erlbaum, Mahwah (2001) Google Scholar
Freud, S.: Beyond the pleasure principle. W. W. Norton & Company, New York (1990) Google Scholar
Gardner, H.: Frames of Mind: The theory of multiple intelligences. Basic Books, New York (1983) Google Scholar
Georgouli, K.: The Design of a ‘Motivating’ Intelligent Assessment System. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 811–820. Springer, Heidelberg (2002) Chapter Google Scholar
Jones, K.: Running, or stumbling through, simulations. Simulation/Games for Learning 19(4), 160–167 (1989) Google Scholar
Keller, J.M.: Motivation and instructional design: A theoretical perspective. Journal of Instructional Development 2(4), 26–34 (1979) Article Google Scholar
Keller, J.M.: Motivational design of instruction. In: Reigeluth, C.M. (ed.) Instructional Theories and Models: An Overview of Their Current Status, pp. 383–434. Lawrence Erlbaum, New York (1983) Google Scholar
Keller, J.M.: Using the ARCS Motivational Process in Computer-Based Instruction and Distance Education. In: Theall, M. (ed.) Motivation in Teaching and Learning: New Directions for Teaching and Learning. Jossey-Bass, San Francisco (1999) Google Scholar
Kelly, D.: A Framework for using Multiple Intelligences in an ITS. In: Proceedings of EDMedia 2003, World Conference on Educational Multimedia, Hypermedia & Telecommunications, Honolulu, HI (2003) Google Scholar
Kelly, D., Tangney, B.: Predicting Learning Characteristics in a Multiple Intelligence Based Tutoring System. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 678–688. Springer, Heidelberg (2004) Chapter Google Scholar
Kelly, D., Tangney, B.: Matching and Mismatching Learning Characteristics with Multiple Intelligence Based Content. In: The Twelveth International Conference on Artificial Intelligence in Education, AIED 2005, Amsterdam, Netherlands, pp. 354–361. Reigeluth, C.M (2005); A new paradigm of ISD? Educational Technology, 36(3) (1996) Google Scholar
Kleinginna, P., Kleinginna, A.: A categorized list of motivation definitions, with suggestions for a consensual definition. Motivation and Emotion 5, 263–291 (1981) Article Google Scholar
Lazaer, D.: Eight Ways of Teaching: The Artistry of Teaching with Multiple Intelligences, SkyLight (1999) Google Scholar
Lepper, M.R., Hodell, M.: Intrinsic motivation in the classroom. In: Ames, C., Ames, R. (eds.) Research on motivation in education, vol. 3, pp. 73–105. Academic Press, San Diego (1989) Google Scholar
Malone, F.: Toward a theory of intrinsically motivation instruction. Cognitive Science 5(4), 333–369 (1980) ArticleMathSciNet Google Scholar
Martens, R., Gulikers, J., Bastaens, T.: The impact of intrinsic motivation on e-learning in authentic computer tasks. Journal of Computer Assisted Learning 20(5), 368–376 (2004) Article Google Scholar
Maslow, A.: Motivation and personality. Harper, New York (1954) Google Scholar
Militiadou, M., Savenye, W.: Applying social cognitive constructs of motivation to enhance student success in online distance education. AACE Journal 11(1), 78–95 (2003) Google Scholar
Qu, L., Johnson, W.L.: Detecting the Learner’s Motivational States in an Interactive Learning Environment. In: Looi, C.-K., McCalla, G., Bredeweg, B., Breuker, J. (eds.) Proceedings of the 12th International Conference on Artificial Intelligence in Education AIED 2005, pp. 547–554. IOS Press, Amsterdam (2005) Google Scholar
Skinner, B.F.: Contingencies of reinforcement: A theoretical analysis. Appleton-Century-Crofts, New York (1969) Google Scholar
Stipek, D.J.: Motivation to learn: From Theory to practice. Allyn and Bacon, Needham Heights (1993) Google Scholar
del Soldato, T.: Detecting and Reacting to the Learner’s Motivational State. In: Frasson, C., McCalla, G.I., Gauthier, G. (eds.) ITS 1992. LNCS, vol. 608, pp. 567–574. Springer, Heidelberg (1992) Google Scholar
Song, S.H., Keller, J.M.: Effectiveness of motivationally-adaptive CAI. Educational Technology Research & Development 49(2), 5–22 (2001) Article Google Scholar
Terrell, S., Rendulic, P.: Using computer-managed instructional software to increase motivation and achievement in elementary school children. Journal of Research on Computing in Education 28(3), 403–414 (1996) Google Scholar
de Vicente, A., Pain, H.: Informing the Detection of the Students’ Motivational State: An Empirical Study. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 933–943. Springer, Heidelberg (2002) Chapter Google Scholar
de Vicente, A., Pain, H.: Validating the Detection of a Student’s Motivational State. In: Mendez Vilas, A., Mesa Gonzalez, J.A., Mesa Gonzalez, J. (eds.) Proceedings of the Second International Conference on Multimedia Information & Communication Technologies in Education (m-ICTE2003), pp. 2004–2008 (2003) Google Scholar
Vroom, V.: Work and motivation. Wiley, New York (1964) Google Scholar
Waugh, R.: Creating a scale to measure motivation to achieve academically: Linking attitudes and behavior using Rasch measurement. British Journal of Educational Psychology 72, 65–86 (2002) Article Google Scholar