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Abstract

Feedback is a vital element for improving student learning in a simulation-based training as it guides and refines learning through scaffolding. A number of studies in literature have shown that students' learning is enhanced when feedback is provided with personalized tutoring that offers specific guidance and adapts feedback to the learner in a one-to-one environment. Thus, emulating these adaptive aspects of human tutoring in simulation provides an effective methodology to train individuals. This paper presents the results of a study that investigated the effectiveness of automating different types of feedback techniques such as Knowledge-of-Correct-Response (KCR) and Answer-Until-Correct (AUC) in software simulation for learning basic information technology concepts. For the purpose of comparison, techniques like simulation with zero or no-feedback (NFB) and traditional hands-on (HON) learning environments are also examined. The paper presents the summary of findings based on quantitative analyses, which reveal that the simulation based instructional strategies are at least as effective as hands-on teaching methodologies for the purpose of learning of IT concepts. The paper also compares the results of the study with the earlier studies and recommends strategies for using feedback mechanism to improve students' learning in designing and simulation-based IT training.

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/content/papers/10.5339/qproc.2015.elc2014.59
2015-08-29
2024-11-06
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References

  1. McCrea F, Gay R, Bacon R. Riding the big waves: A white paper on B2B e-learning industry. San Francisco, CA: Thomas Weisel 2000.
    [Google Scholar]
  2. Bell B, Kanar AM, Kozlowski SJ. Current issues and future directions in simulation-based training. Ithaca, NY: Center for Advanced Human Resources. Cornell University 2008.
    [Google Scholar]
  3. Chen D. Uncovering the provisos behind flexible learning. Educational Technology and Society. 2003; 6:2:2530.
    [Google Scholar]
  4. Sancristobal E, Castro M, Martin S, Tawkif M. Remote labs as learning services in the educational arena. Paper presented at the Global Engineering Education Conference, Amman, Jordan; April, 2011.
  5. Gillet D, Ngoc AV, Rekik Y. Collaborative web-based experimentation in flexible engineering education. IEEE Transactions on Education. 2005; 48:4:696704.
    [Google Scholar]
  6. Schiflett SGElliott LRSalas ECoovert MD, eds. Scaled worlds: Development validation, and application. Surrey, England: Ashgate Publishing Limited 2004;:7599.
    [Google Scholar]
  7. Steele-Johnson D, Hyde BG. Advanced technologies in training: Intelligent tutoring systems and virtual reality. In: Quiñones MAEhrenstein A, eds. Training for a rapidly changing workplace: Applications of psychological research. Washington, DC: American Psychological Association 1997;:225248.
    [Google Scholar]
  8. Clariana RB, Ross SM, Morrison GR. The effects of different feedback strategies using computer-administered multiple-choice questions as instruction. Educational Technology Research and Development. 1991; 39:2:517.
    [Google Scholar]
  9. Institute for Creative Technologies. Intelligent guided experiential learning: Tutoring for practice. 2009. Retrieved from http://ict.usc.edu/projects .
  10. Cuevas HM, Fiore SM, Bowers CA, Salas E. Fostering constructive cognitive and metacognitive activity in computer-based complex task training environments. Computers in Human Behavior. 2004; 20:2:225241.
    [Google Scholar]
  11. Wood D, Bruner JS, Ross G. The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, 1976; 17:2:89100.
    [Google Scholar]
  12. Moreno R. Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia. Instructional Science. 2004; 32:1-2:99113.
    [Google Scholar]
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