Intrinsic fun in usage of virtual learning environment. For

Intrinsic motivation stimulates to take actions not to get the desired outcome but because activity inherent satisfactions (Deci, 2000). Tasks which require manipulation, information processing, or exploration usually causes intrinsic motivation (Deci & Ryan, 1985).  When person is in a state of “flow” the most significant effect is the motivational enhancement which happens during that state and it is related to intrinsic motivation. When experiencing flow, person go on with the task simply because of the enjoyment which the task provides (Csikszentmihalyi, 1990). Extrinsic motivation is when person is doing certain activity because he wants to gain certain benefits or rewards. Perceived usefulness or PU is described as ”the degree to which a person believes that using a particular system would enhance his or her performance” (Davis, 1989).  An example of extrinsic motivation can be Davis et al. (1993) implication that perceived usefulness using technology is the main factor of usage intentions.

For instance, the expected utility benefits of virtual learning system are expected to increase student will to use it. Furthermore, In the context of students’ will to engage with online learning systems the main point is that intrinsic motivators are based on emotional feeling, like happiness and sadness, amusement, irritation, anger etc, take essential part in the explanation of technology acceptance. Davis et al.

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(1992) argued that acceptance of new technology is on the whole decided by both extrinsic and intrinsic motivators.To analyse contributing factors to students’ acceptance of virtual learning environments Lee, Cheung and Chen (2005) conducted a study. This study used Davis’s technology acceptance model and expanded it to capture extrinsic (perceived usefulness) and intrinsic motivators (perceived enjoyment) for explaining students’ intention to use the new learning system. Undergraduate students have been introduced with the system at the start of semester and had no previous experience of using it. They were asked to complete a questionnaire.

544  answers were analysed in the research. The results of the study stated that students will to use the system was affected not by a single but by all two factors of perceived usefulness and perceived enjoyment. Based on these results researchers defined guidelines and suggestions for design of virtual learning systems. Firstly, course information should be displayed using rich multimedia capabilities such as images, sounds and text  to make it easier to understand and use course material. Secondly, learning materials should involve quizzes,  games and other creative ways which creates fun in usage of virtual learning environment.

For example,  Csikszentmihalyi (1990) stated that most of flow experience occurs when user is intrinsically motivated and involved in challenging  tasks. Thirdly, virtual learning system should provide immediate feedback which would help to correct misunderstood material. It might help learners to grasp the course better and to improve usage experience. Finally, virtual learning environment should encourage interaction by creating sense of community. Students may be naturally motivated to feel connected to others within learning environment. Incorporating social elements such as chat rooms and discussion board should encourage student collaboration, and therefore, increase student motivation to use the system.ReferencesBandura, A. (1986).

Social foundations of thought and action. Englewood Cliffs, N.J.: Prenctice Hall.Choi, D.

, Kim, J. and Kim, S. (2007). ERP training with a web-based electronic learning system: The flow theory perspective. International Journal of Human-Computer Studies, 65(3), pp.

223-243.Condry, J. (1977). Enemies of exploration: Self-initiated versus other-initiated learning. Journal of Personality and Social Psychology, 35(7), pp.459-477.Csikszentmihalyi, M.

(1990). Flow: The Psychology of Optimal Experience.. New york: Harper Perennial.Davis, F.

(1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), p.319.Deci, E.

and Ryan, R. (1985). Intrinsic motivation and self-determination in human behavior ..

New York: New York: Plenum.Deci, E., Koestner, R.

and Ryan, R. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125(6), pp.627-668.Guay, F., Chanal, J., Ratelle, C.

, Marsh, H., Larose, S. and Boivin, M. (2010).

Intrinsic, identified, and controlled types of motivation for school subjects in young elementary school children. British Journal of Educational Psychology, 80(4), pp.711-735.Keller, J.

(1979). Motivation and instructional design: A theoretical perspective. Journal of Instructional Development, 2(4), pp.26-34.Keller, J. and Suzuki, K. (2004).

Learner motivation and E-learning design: A multinationally validated process. Journal of Educational Media, 29(3), pp.229-239.Lee, M.

, Cheung, C. and Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation.

Information & Management, 42(8), pp.1095-1104.Liu, S., Liao, H. and Pratt, J.

(2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), pp.599-607.

Payne, S., Youngcourt, S. and Beaubien, J.

(2007). A meta-analytic examination of the goal orientation nomological net. Journal of Applied Psychology, 92(1), pp.128-150.PEARCE, J., AINLEY, M. and HOWARD, S. (2005).

The ebb and flow of online learning. Computers in Human Behavior, 21(5), pp.745-771.Ryan, R. and Deci, E. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25(1), pp.

54-67.Wu, J., Tennyson, R. and Hsia, T. (2010).

A study of student satisfaction in a blended e-learning system environment. Computers & Education, 55(1), pp.155-164.

Owston, R., Wideman, H., Murphy, J. and Lupshenyuk, D. (2008). Blended teacher professional development: A synthesis of three program evaluations. The Internet and Higher Education, 11(3-4), pp.201-210.

F. Davis, R.P. Bagozzi, P.R. Warshaw, Extrinsic and intrinsic motivation to use computers in the workplace, Journal of Applied Social Psychology (22) 1992, pp. 1111–1132Nakamura, J.

, & Csikszentmihalyi, M. (2002). The Concept of Flow. In C. Snyder, & S. Lopez (Eds.), Handbook of Positive Psychology (pp.

89-105). New York: University Press. Webster, J.

, Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411-426. Kolb, D.

A.: Experiential learning: Experience as the source of learning and development. Prentice-Hall Englewood Cliffs, NJ, 1984. Weiner, B. (Ed.).

(1974). Achievement motivation and attribution theory. Morristown, NJ: General Learning Press.Nakamura, J., & Csikszentmihalyi, M. (2002).

The concept of flow. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 89-105).

New York: Oxford University Press.organization and management a system and contingency approach kastSong, L., Singleton, E., Hill, J. and Koh, M. (2004). Improving online learning: Student perceptions of useful and challenging characteristics. The Internet and Higher Education, 7(1), pp.

59-70.Paechter, M., Maier, B. and Macher, D.

(2010). Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), pp.222-229.

Locke, E. (1996). Motivation through conscious goal setting. Applied and Preventive Psychology, 5(2), pp.117-124.Chrons, O.

and Sundell, S. (Microtask) (2011) Digitalkoot: Making Old Archives Accessible Using Crowdsourcing, workshop at HCOMP 2011, August 8, San Francisco, CaliforniaMuntean, Cristina Ioana. “Raising engagement in e-learning through gamification.” Proc. 6th International Conference on Virtual Learning ICVL. No. 42. 2011.

Kapp, Karl M. The gamification of learning and instruction : game-based methods and strategies for training and education. San Francisco, CA: Pfeiffer, 2012. Print.

Werbach, K. and Hunter, D. (2012). For the win. Philadelphia, PA: Wharton Digital Press.Hunicke, Robin, Marc LeBlanc, and Robert Zubek. “MDA: A formal approach to game design and game research.

” Proceedings of the AAAI Workshop on Challenges in Game AI. Vol. 4. No. 1. 2004.Sailer, M.

, Hense, J., Mandl, H., & Klevers, M. “Psychological Perspectives on Motivation through Gamification.” IxD 19 (2013): 28-37.Ian O’Byrne, W., Schenke, K., WillisIII, J.

and Hickey, D. (2015). Digital Badges Recognizing, Assessing, and Motivating Learners In and Out of School Contexts. Journal of Adolescent & Adult Literacy, 58(6), pp.

451-454.da Rocha Seixas, L., Gomes, A. and de Melo Filho, I. (2016).

Effectiveness of gamification in the engagement of students. Computers in Human Behavior, 58, pp.48-63.Hamari, J. (2017).

Do badges increase user activity? A field experiment on the effects of gamification. Computers in Human Behavior, 71, pp.469-478.Ling, K.

, Beenen, G., Ludford, P., Wang, X., Chang, K.

, Li, X., et al. (2005).

Using social psychology to motivate contributions to online communities. Journal of Computer-Mediated Communication, 10(4).