Assessing Gaming, Computer and Scientific Inquiry Self-Efficacy in a Virtual Environment

  • Diane Jass Ketelhut


“She’s here!” the whispers spread through the room. I had arrived to give my volunteer science lesson to my daughter’s fifth-grade class. These children loved science. For them, this subject was the high point of the day. Yet, as a former veteran secondary science teacher, I know that this is not true of older children. Somewhere between elementary and high school, many students disengage from science, partially because they develop a belief that they can’t succeed in science (Clark, 1999; Farenga & Joyce, 1998).


Virtual Environment Internal Consistency Reliability Play Computer Game American Educational Research Association Career Interest 
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  1. Baldwin, J. A., Ebert-May, D., & Burns, D. J. (1999). The development of a college biology self-efficacy instrument for nonmajors. Science Education, 83(4), 397-408.CrossRefGoogle Scholar
  2. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.CrossRefGoogle Scholar
  3. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  4. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman & Company.Google Scholar
  5. Bong, M. (1996). Perceived similarity among tasks and generalizability of academic self-efficacy. Paper presented at the annual meeting of the American Educational Research Association, New York, April 8-12, 1996.Google Scholar
  6. Clark, J. V. (1999). Minorities in science and math. Columbus: ERIC Clearinghouse for Science, Mathe-matics, and Environmental Education.Google Scholar
  7. Collins, J. L. (1984). Self-efficacy and ability in achievement behavior. Unpublished Dissertation/Thesis, Stanford University.Google Scholar
  8. Committee on Prospering in the Global Economy of the 21st Century: An Agenda for American Science and Technology, National Academy of Sciences, National Academy of Engineering, Institute of Medicine. (2007). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: The National Academies Press.Google Scholar
  9. Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281-302.CrossRefGoogle Scholar
  10. de Jong, T. (2006). Technological advances in inquiry learning. Science, 312, 532-533.CrossRefGoogle Scholar
  11. Dede, C., & Ketelhut, D. (2003). Designing for motivation and usability in a museum-based multi-user virtual environment. Paper presented at the American Educational Research Association, Chicago.Google Scholar
  12. Enochs, L. G. (1993). The development and partial validation of microcomputer utilization in teaching efficacy beliefs instrument in a science setting. SchoolScience & Mathematics, 93(5), 257-263.CrossRefGoogle Scholar
  13. Farenga, S. J., & Joyce, B. A. (1998). Science-related attitudes and science course selection: A study of high-ability boys and girls. Roeper Review, 20(4), 9.CrossRefGoogle Scholar
  14. Gibson, H., & Chase, C. (2002). Longitudinal impact of an inquiry-based science program on middle school students’ attitudes toward science. Science Education, 86, 693-705.CrossRefGoogle Scholar
  15. Grigg, W., Lauko, M., & Brockway, D. (2006). The Nation’s report card: Science 2005 (NCES 2006-466). U.S. Department of Education, National Center for Education Statistics. Washington, DC: U.S. Government Printing Office.Google Scholar
  16. Jinks, J., & Morgan, V. (1999). Children’s perceived academic self-efficacy: An inventory scale. The Clearing House, 72(4), 224-230.CrossRefGoogle Scholar
  17. Jones, S. (2003). Let the games begin: Gaming technology and entertainment among college students (Report). Washington, DC: Pew Internet & American Life Project.Google Scholar
  18. Ketelhut, D. J. (2007). The Impact of student self-efficacy on scientific inquiry skills: An exploratory investigation in river city, a multi-user virtual environment. Journal of Science Education and Techno-logy, 16(1), 99-111.CrossRefGoogle Scholar
  19. Koul, R. (1999). An analysis of the reliability and validity of personal internet teaching efficacy beliefs scale. Electronic Journal of Science Education, 4(1).Google Scholar
  20. Lent, R. W., Brown, S. D., & Larkin, K. C. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of Counseling Psychology, 31, 356-362.CrossRefGoogle Scholar
  21. Litwin, M. S. (2003). How to assess and interpret survey psychometrics (2nd ed., Vol. 8). Thousand Oaks, CA: Sage Publications.Google Scholar
  22. Lopez, F. G., & Lent, R. W. (1992). Sources of mathematics self-efficacy in high school students. The Career Development Quarterly, 41, 3-12.Google Scholar
  23. Midgley, C., Maehr, M. L., Hruda, L. Z., Anderman, E., & Anderman, et al. (2000). Manual for the Patterns of Adaptive Learning Scales (PALS). Ann Arbor, MI: U. of Michigan.Google Scholar
  24. Midgley, C., Kaplan, A., Middleton, M., Maehr, M., Urdan, T., Anderman, L., et al. (1998). The develop-ment and validation of scales assessing students’ achievement goal orientations. Contemporary Educational Psychology, 23, 113-131.CrossRefGoogle Scholar
  25. Miltiadou, M., & Yu, C. H. (2000). Validation of the Online Technologies Self-Efficacy Scale (OTSES) (Publication no. ED445672). Retrieved January 15, 2004.Google Scholar
  26. Murray, J. H. (1997). Hamlet on the Holodeck. Cambridge, MA: MIT Press.Google Scholar
  27. National Center for Educational Statistics. (2000). The nation’s report card. Retrieved October 12, 2003, from
  28. National Research Council. (1996). National science education standards: Observe, interact, change, learn. Washington, DC: National Academy Press.Google Scholar
  29. National Science Foundation. (2001). Characteristics of Doctoral Scientists and Engineers in the United States, 2001 [Internet]. National Science Foundation. Retrieved March 19, 2004, from [].
  30. Nelson, B., & Ketelhut, D. J. (2007). Designing for real-world inquiry in virtual environments. Educational Pyschology Review, 19(3), 265-283.CrossRefGoogle Scholar
  31. Nelson, B., Ketelhut, D. J., Clarke, J., Bowman, C., & Dede, C. (2005). Design-based research strategies for developing a scientific inquiry curriculum in a multi-user virtual environment. Educational Technology, 45 (1), 21-27.Google Scholar
  32. Pajares, F. (1995). Self-efficacy in academic settings. Paper presented at the American Educational Research Association, San Francisco.Google Scholar
  33. Pajares, F. (1996). Assessing self-efficacy beliefs and academic outcomes: The case for specificity and correspondence. Retrieved February21,2004, from
  34. Pajares, F. (1997). Current directions in self-effiacacy research. In M. Maehr & P. R. Pintrich (Eds.), Advances in motivation and achievement (Vol. 10, pp. 1-49). Greenwich, CT: JAI Press.Google Scholar
  35. Pajares, F. (2000). Schooling in America: Myths, mixed messages, and good intentions (Report). Cannon Chapel, GA: Emory University.Google Scholar
  36. Popham, W. J. (1981). Modern educational measurement. Englewood Cliffs, NJ: Prentice-Hall, Inc. Ruess, K. (2001). [Email sent 2001, November].Google Scholar
  37. Schunk, D. H., Pajares, F., Wigfield, A., & Eccles, J. (2002). The development of academic self-efficacy. In Anonymous (Ed.), Development of achievement motivation. San Diego, CA: Academic Press.Google Scholar
  38. Smith, P. L., & Fouad, N. A. (1999). Subject-matter specificity of self-efficacy, outcome expectancies, interests, and goals: Implications for the social-cognitive model. Journal of Counseling Psychology, 46 (4), 461-471.CrossRefGoogle Scholar
  39. Tai, R., Liu, C., Maltese, A., & Fan, X. (2006). CAREER CHOICE: Enhanced: Planning early for careers in science. Science, 312(5777), 1143-1144.CrossRefGoogle Scholar
  40. Turkle, S. (1995). Life on the screen: Identity in the age of the Internet. New York: Simon & Schuster.Google Scholar
  41. Zimmerman, B. J., & Bandura, A. (1994). Impact of self-regulatory influences on writing course attainment. American Educational Research Journal, 31, 845-862.Google Scholar

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© Sense Publishers 2011

Authors and Affiliations

  • Diane Jass Ketelhut
    • 1
  1. 1.Temple UniversityPhiladelphiaUSA

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