Technology resources as a mediating factor in career interest development

Educational Technology and Society

Volumn 5, Issue 2, 2002, Pages

  Koszalka, Tiffany A ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

Career interest; Gender differences; Middle school science; Web resources

Indexed keywords

EID: 3042555254     PISSN: 14364522     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (44)

1. Andre, T., Whigham, M., & Hendrickson, A. (1999). Competency beliefs, positive affect, and gender stereotypes of elementary students and their parents about science versus other school subjects. Journal of Research in Science Teaching, 36(August), 719-747.
2. Becker, H. (1998). Teaching, learning, and computing - 1998: Internet use by teachers and students. (accessed July 2001 - http://www.critouci/TLC/findings/Internet_use).
3. Blustein, D. L., Pauling, M. L., DeMania, M. E., & Faye, M. (1994). Relation between exploratory and choice factors and decisional progress. Journal of Vocational Behavior, 44, 75-90.
4. Boone, W., & Butler Kahle, J. (1998). Student perceptions of instruction, peer interest, and adult support for middle school science: Differences by race and gender. Journal of Women and Minorities in Science and Engineering, 4, 333-340.
5. Borget, M., & Gilroy, F. (1994). Interests and self-efficacy as predictors of mathematics/science based career choice. Psychological Reports, 75, 753-754.
6. Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models. Newbury Park: Sage.
7. Erikson, E. (1963). Childhood and security. New York: Norton.
8. Eisenhart, M. (1995). The fax, the jazz player, and the self-story teller: How do people organize culture? Anthropology and Education Quarterly, 26(1), 3-26.
9. Flum, H., & Blustein, D. L. (2000). Reinvigorating the study of vocational exploration: A framework for research. Journal of Vocational Behavior, 56, 380-404.
10. Gati, I. (1986). Making career decisions - A sequential elimination approach. Journal of Counseling Psychology, 33(4), 408-417.
11. Gallagher, S. (1994). Middle school classroom predictors of science persistence. Journal of Research in Science Teaching, 31(7), 721-734.
12. Gibson, H. M., & Francis, L. J. (1993). The relationship between television viewing preferences and interest in science among 11-15 year-olds. Research in Science & Technological Education, 11(2), 185-189.
13. Gottfredson, L. (1981). Circumscription and compromise: A developmental theory of occupational aspirations. Journal of Counseling Psychology, 28, 545-79.
14. Gurian, M. K. (2001). Boys and girls learn differently! San Francisco: Jossey-Bass.
15. Hagen, D. (1960). Career and family atmosphere: An empirical test of Roe's theory. Journal of Counseling Psychology, 7, 251-257.
16. Hanson, S. L. (2000). Gender, family, and science: Influences on early science training and career choices. Journal of Women and Minorities in Science and Engineering, 6(2), 169-187.
17. Hardin, J., & Ziebarth, J. (1995). Digital technology and its impact on education: The future of networking technologies for learning. Washington, D.C.: U.S. Department of Education.
18. Havighurst (1964). Youth in exploration and man emergent. In H. Borow (ed.), Man in a world at work (pp. 215-236). Boston: Houghton-Mifflin.
19. Hayden, A. H., & Torkelson, G. M. (1973). Systematic thinking about education. Bloomington, IN: Phi delta Kappa Educational Foundation.
20. Helwig, A. (1998). Occupational aspirations of a longitudinal sample for second to sixth grade. Journal of Career Development, 24(4), 247-265.
21. Hill, O., Pettus, W., & Hedin, B. (1990). Three studies of factors affecting the attitudes of blacks and females toward the pursuit of science and science-related careers. Journal of Research in Science Teaching, 27(4), 289-314.
22. Holland, D. (1992). How cultural systems become desire: A case study of American romance. In R. D'Andrade & C. Strauss (Eds.), Human Motives and Cultural Models (pp. 61-89). Cambridge: Cambridge University Press.
23. Holland, J. L. (1985). Making vocational choices: A theory of vocational personalities and work environments (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.
24. Hutchins, E. (1998). Learning to navigate. In S. Chaiklin & J. Lave (Eds.), Understanding Practice: Perspectives on Activity and Context (pp. 35-63). New York: Cambridge University Press.
25. Jordan, B. (1989). Cosmopolitical obstetrics: Some insights from the training of traditional midwives. Social Science and Medicine, 28(9), 925-44.
26. Kahle, J., Matyas, M., & Cho, H. (1985). An assessment of the impact of science experiences on the career choices of male and female biology students. Journal of Research in Science Teaching, 22(5), 385-394.
27. Koszalka, T. (1999). The relationship between the types of resources used in science classrooms and middle school students' interest in science careers: An exploratory analysis. Unpublished doctoral dissertation, The Pennsylvania State University, State College.
28. Lave, J., & Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation. New York: Cambridge University Press.
29. Lent, R., Brown, S., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice and performance. Journal of Vocational Behavior, 45, 79-122.
30. Marshall, H. (1974). Structural constraints on learning. America Behavioral Scientist, 16(1), 35-44.
31. Mason, C., & Kahle, J. (1988). Students attitudes toward science and science-related careers: A program designed to promote a stimulating danger-free learning environment. Journal of Research in Science Teaching, 26(1), 25-39.
32. Neimeyer, G. J., & Metzler, A. (1987). The development of vocational schemas. Journal of Vocational Behavior, 30, 16-32.
33. Owston, R. D. (1997). The world wide web: A technology to enhance teaching and learning? Educational Researcher, 26(2), 27-33.
34. Rice, J. C., McBride, R. H., & John, D. (1998). Defining a web-based learning environment. (accessed June 15, 1999, http://www.byu.edu/ipt/workshop/wbi/text.html).
35. Rocheleau, B. (1995). Computer use by school-aged children: trends, patterns, and predictors. Journal of Educational Computing Research, 12(1), 1-17.
36. Roeser, R. W., Eccles, J. S., & Sameroff, A. J. (2000). School as a context of early adolescents' academic and social-emotional development: A summary of the research findings. The Elementary School Journal, 100(5) 443-471.
37. Super, D. (1984). Career and Life Development. In D. Brown & L. Brooks (Eds.), Career Choice and Development (pp. 192-234). San Francisco: Jossey-Bass.
38. Swanson, J. (1997). What's the Difference? A review of the literature on boys and girls. San Rafael, CA: KidActive LLC.
39. Trice, A. (1992). Origins of children's career aspirations: II. Direct suggestions as a method of transmitting occupational preferences. Psychological Reports, 71(1), 253-254.
40. Trice, A. (1995). The origins of children's career aspirations: IV. Testing hypotheses from four theories. The Career Development Quarterly, 43(4), 307-322.
41. Vondracek, F. W. (1993). Promoting vocational development in early adolescence. In R. M. Lerner (Ed.), Early Adolescence: Perspectives on Research, Policy, and Intervention (pp. 277-292). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.
42. Vondracek, F. W., Lerner, R. M., & Schulenberg, J. E. (1986). Career Development: A Life-span Developmental Approach. Hillsdale, NJ: Erlbaum.
43. Vondracek, F., & Porfeli, E. (in press). The World of Work and Careers. In G. R. Adams, & M. Berzonsky (Eds.), Blackwell Handbook of Adolescence. New York, NY: Blackwell Publishers.
44. Yager, R., & Yager, S. (1985). Changes in perceptions of science for third, seventh, and eleventh grade students. Journal of Research in Science Teaching, 22(4), 347-358.