Abstract
Air traffic control (ATC) operations are critical to the U.S. aviation infrastructure, making ATC training a critical area of study. Because ATC performance is heavily dependent on visual processing, it is important to understand how to screen for or promote relevant visual processing abilities. While conventional wisdom has maintained that such abilities are largely innate and stable (i.e., not impacted by training or experience), recent research has begun to question this assumption. For example, intelligence has been thought to be stable, yet intelligence scores on the Ravens Progressive matrices (RPM) change over time. Because the RPM, like ATC, relies on visual pattern recognition, one hypothesized reason for these changes is the increased exposure to visually intensive technologies like videogames. Other constructs such as field-dependence/independence (FD-I) which, like the RPM, rely on visual pattern detection and are thought to be stable, might therefore also be affected by visual technology exposure. Two studies sought to examine the role of videogame play on FD-I and ATC simulation performance by ATC students at a Midwestern university. No benefits of videogame play were found. However, more fourth-year ATC students were field-independent (FI) than were first-year students and the general population. Findings suggest that exposure to the ATC training program over 4 years may result in more FI students, and that FD-I may not be stable. Possible explanations and implications are discussed.
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References
Ates, A., & Cataloglu, E. (2007). The effects of students’ cognitive styles on conceptual understandings and problem-solving skills in introductory mechanics. Research in Science and Technological Education, 25(2), 167–178.
Carretta, T. R. (1987). Field dependence–independence and its relationship to flight training performance (Technical Report). Brooks Air Force Base, TX: Air Force Research Laboratory.
Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. (2014). Digital games, design, and learning: A systematic review and meta-analysis. Menlo Park, CA: SRI International.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
EA Games. (2002). Medal of Honor: Allied Assault, (software). Redwood City, CA: Electronic Arts.
Edwards, C., & Poole, R. W. Jr. (2010). Airports and air traffic control. Washington, D.C.: The CATO Institute. Available from http://www.downsizinggovernment.org/transportation/airports-atc.
Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101, 171–191. doi:10.1037/0033-2909.101.2.171.
Green, S. C., & Bavelier, D. (2006). Enumeration versus multiple object tracking: The case of action video game players. Cognition, 101, 217–245.
Greenfield, P. M. (2009). Linking social change and developmental change: Shifting pathways of human development. Development Psychology, 45(2), 401–418.
Greenfield, P. M., Brannon, C., & Lohr, D. (1994a). Two-dimensional representation of movement through three-dimensional space: The role of videogame expertise. Journal of Applied Developmental Psychology, 15, 87–103.
Greenfield, P. M., deWinstanley, P., Kilpatrick, H., & Kaye, D. (1994b). Action videogames and informal education: Effects on strategies for dividing visual attention. Journal of Applied Developmental Psychology, 15, 195–223.
Haier, R. J., Karama, S., Leyba, L., & Jung, R. E. (2009). MRI assessment of cortical thickness and functional activity changes in adolescent girls following three months of practice on a visual-spatial task. BMC Research Notes,. doi:10.1186/1756-0500-2-174.
Hays, R. T. (2005). The effectiveness of instructional games: A literature review and discussion. Technical Report 2005-004. Naval Air Warfare Center Training Systems Division. http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA441935.
Hopkin, V. (1980). The measurement of the air traffic controller. Human Factors, 22(5), 547–560.
Johnson, S. (2006). Everything bad is good for you. New York: Riverhead.
Leemkuil, H., de Jong, T., de Hoog, R., & Christoph, N. (2003). KM quest: A collaborative internet-based simulation game. Simulation and Gaming, 34, 89–111.
Maliko-Abraham, H. (2004). A study of field independence and United States military air traffic controllers. In Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting, New Orleans, LA, September 20– 24, 2004, 1213–1217.
O’Neil, H. F., Wainess, R., & Baker, E. (2005). Classification of learning outcomes: Evidence from the computer games literature. The Curriculum Journal, 16(4), 455–474.
Panek, P. E. (1985). Age differences in field-dependence/independence. Experimental Aging Research, 11(2), 97–99.
Panek, P. E., Funk, L. G., & Nelson, P. K. (1980). Reliability and validity of the group embedded figures test across the life span. Perceptual Motor Skills, 50 (3, part 2), 1171–1174.
Randel, J. M., Morris, B. A., Wetzel, C. D., & Whitehill, B. V. (1992). The effectiveness of games for educational purposes: A review of recent research. Simulation and Gaming, 23(3), 261–276.
Raven J. C. (1936). Mental tests used in genetic studies: The performance of related individuals on tests mainly educative and mainly reproductive. MSc Thesis, University of London.
Tinajero, C., & Paramo, M. F. (1997). Field dependence–independence and academic achievement : A re-examination of their relationship. British Journal of Educational Psychology, 67(2), 199–212.
Tobias, S., Fletcher, J. D., Dai, D. Y., & Wind, A. P. (2011). Review of research on computer games. In S. Tobias & J. D. Fletcher (Eds.), Computer games and instruction (pp. 127–221). Charlotte, NC: IAP.
Tramer, R. R., & Schuldermann, E. H. (1974). Cognitive differentiation in a geriatric population. Perceptual and Motor Skills, 39, 1071–1075.
Van Eck, R., & Dempsey, J. (2002). The effect of competition and contextualized advisement on the transfer of mathematics skills in a computer-based instructional simulation game. Educational Technology Research and Development, 50(3), 23–41.
Vogel, J. F., Vogel, D. S., Cannon-Bowers, J., Bowers, C. A., Muse, K., & Wright, M. (2006). Computer gaming and interactive simulations for learning: A meta-analysis. Journal of Educational Computing Research, 34, 229–243.
Witkin, H. A., Oltman, P. A., Raskin, E., & Karp, S. A. (2002). Group embedded figures test manual. Menlo Park, CA: Mind Garden.
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Van Eck, R.N., Fu, H. & Drechsel, P.V.J. Can simulator immersion change cognitive style? Results from a cross-sectional study of field-dependence–independence in air traffic control students. J Comput High Educ 27, 196–214 (2015). https://doi.org/10.1007/s12528-015-9099-0
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DOI: https://doi.org/10.1007/s12528-015-9099-0