Orientation of undergraduates toward careers in the computer and information sciences: Gender, self-efficacy and social support

ACM Transactions on Computing Education

Volumn 11, Issue 3, 2011, Pages

  Rosson, Mary Beth ^a   Carroll, John M ^a   Sinha, Hansa ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Self efficacy; Social constructivist learning; Social networks; Women in computing

Indexed keywords

CONSTRUCTIVIST LEARNING; LEARNING PROCESS; LOW RATES; PERCEIVED SELF-EFFICACY; REGRESSION MODEL; SELF EFFICACY; SOCIAL NETWORKS; SOCIAL SUPPORT; STRONG ORIENTATION; UNIVERSITY STUDENTS; WOMEN IN COMPUTING;

INFORMATION SCIENCE; REGRESSION ANALYSIS;

EDUCATION COMPUTING;

EID: 82455208813     PISSN: None     EISSN: None     Source Type: Journal    
DOI: 10.1145/2037276.2037278     Document Type: Article

References (65)

1. AGOSTO, D., GASSON, S. AND ATWOOD, M. 2008. Changing mental models of the IT professions: A theoretical framework. J. Inf. Tech. Educ. 7, 205-221.
2. AHUJA, M. K. 2002. Women in the information technology profession: A literature review, synthesis and research agenda. Euro. J. Inf. Sys. 11, 20-34.
3. AMERICAN ASSOCIATION OF UNIVERSITYWOMEN (AAUW). 2000. Tech-Savvy: Educating Girls in the New Computer Age. AAUW, Washington D.C.
4. ASH, R. A., CODER, L., DUPONT, B. AND ROSENBLOOM, J. L. 2009. Examining the obstacles to broadening participation in computing: Evidence from a survey of professional workers. Contemporary Economic Policy 27, 3, 413-421.
5. BANDURA, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psych. Rev. 84, 192-215.
6. BANDURA, A. 1982. Self-efficacy in mechanisms of human agency. Am. Psych. 37, 122-147.
7. BANDURA, A. 1997. Self-Efficacy: The Exercise of Control. W. H. Freeman and Co, New York.
8. BARKER, L. J. AND GARVIN-DOXAS, K. 2004. Making visible the behaviors that influence learning environment: A qualitative exploration of computer science classrooms. Comput. Sci. Educ. 14, 2, 119-145.
9. BARKER, L. J., MCDOWELL, C., AND KALAHAR, K. 2009. Exploring factors that influence computer science introductory course students to persist in the major. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'09). 153-157.
10. BECKWITH, L. 2007. Gender Issues in End-User Programming. Ph.D. dissertation, Computer Science Department, Oregon State University.
11. BEYER, S., RYNES, K., PERRAULT, J., HAY, K., AND HALLER, S. 2003. Gender differences in computer science students. SIGCSE Bull. 25, 1, 21-28.
12. BEYER, S., RYNES, K., AND HALLER, S. 2004. Deterrents to women taking computer science courses. IEEE Tech. Soc. Mag. 55, 1, 49-53.
13. BIELACZYC, K. AND COLLINS, A. 1999. Learning communities in classrooms: A reconceptualization of educational practice. In Instructional design theories and models, vol. II. C. M. Reigeluth Ed., Lawrence Erlbaum Associates, Mahwah, NJ. 269-292.
14. BRUNER, J. S. 1960. The Process of Education. Harvard University Press, Cambridge, MA.
15. BLACKHURST, A. AND AUGER, R. 2008 Precursors to the gender gap in college enrollment: Children's aspirations and expectations for their futures. Prof. Sch. Counsel. 11, 3, 149-158.
16. BUSCH, T. 1995. Gender differences in self-efficacy and attitudes toward computers. J. Educ. Comput. Res. 12, 2, 147-158.
17. CARROLL, J. M. 1990. The Nurnberg Funnel: Minimalist Instruction for Computer Skill. MIT Press, Cambridge, MA.
18. CARTER, L. 2006. Why students with an apparent aptitude in computer science don't choose to major in computer science. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'06). 27-31.
19. CLAYTON, K., VON HELLENS, L., AND NIELSEN, S. 2009. Gender stereotypes prevail in ICT: A research review. In Proceedings of SIGMIS-CPR Computers and People Research Conference (CPR'09). 153-158.
20. COHOON, J. 2007. An introductory course format for promoting diversity and retention. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'07). 395-399. (Pubitemid 47483159)
21. COHOON, J. AND ASPRAY, W. 2006. A critical review of the research on women's participation in post-secondary education. In Women and Information Technology: Research on Underrepresentation. J. Cohoon and W. Aspray Eds., MIT Press, Cambridge, MA. 137-180.
22. COLEMAN, H. 2009. The Personality Traits of Instrumentality and Expressiveness in Relation to Microcomputer Playfulness. Ph.D. dissertation, Department of Education, University of Texas.
23. COMPEAU, D. AND HIGGENS, S. 1995. Computer self-efficacy: Development of a measure and initial test. MIS Quart. 19, 2, 189-211.
24. CREAMER, E., BURGER, C., AND MESZAROS, P. 2004. Characteristics of high school and college women interested in information technology. J. Women Minor. Sci. Eng. 10, 67-78.
25. DEE, H., PETRIE, K., BOYLE, R., AND PAU, R. 2009. Why are we still here? Experiences of successful women in computing. In Proceedings of the International Conference on Innovation and Technology in Computer Science Education (ITiCSE'09). 233-237.
26. DEWEY, J. 1938/1963. Experience and Education. Collier, New York.
27. FINK, L. D. 2003. Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses. Jossey-Bass, San Francisco.
28. GIRLS SCOUTS OF AMERICA (GSA). 2003. Girls Go Tech-It's Her Future. Do the Math. Press release available online at www.gsa.org (released January 6, 2003).
29. GIST, M. AND MITCHELL, T. 1992. Self-efficacy: A theoretical analysis of its determinants and malleability. Acad. Man. Rev. 17, 183-211.
30. GURER, D. AND CAMP, T. 2002. An ACM-W literature review on women in computing. SIGCSE Bull. 34, 2, 121-127.
31. GUZDIAL, M. 2003. A media computation course for non-majors. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'03). 104-108.
32. HASSAN, B. 2003. The influence of specific computer experiences on computer self-efficacy believes. Comput. Hum. Behav. 19, 443-450.
33. HENWOOD, F. 2000. From the woman question in technology to the technology question in feminism: Rethinking gender equality in IT education. Euro. J. Wom. Stud. 7, 209-227.
34. HOFFMAN, M. E. AND VANCE, D. R. 2007. Gender difference trends in computer literacy of first-year students. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'07). 405-409. (Pubitemid 47483161)
35. IRANI, L. 2004. Understanding gender and confidence in CS course culture. SIGCSE Bull. 36, 1, 195-199. (Pubitemid 43773231)
36. JORDE-BLOOM, P. 1988. Self-efficacy expectations as a predictor of computer use: A look at early childhood administrators. Comput. Sch. 5, 45-63.
37. KAFAI, Y., FIELDS, D. A., AND BURKE, W. Q. 2010. Entering the clubhouse: How young programmers join online Scratch communities. J. Org. End-User Comput. 22, 2, 21-35.
38. KATZ, S., ALLBRITTON, D., ARONIS, J., WILSON, C., AND SOFFA, M. L. 2006. Gender, achievement, and persistence in an undergraduate computer science program. The DATA BASE for Advances in Information Systems 37, 4, 42-57.
39. MARAKAS, G., YI, M., AND JOHNSON, R. 1998. The multilevel and multifaceted character of computer selfefficacy: Toward clarification of the construct and an integrative framework for research. Inf. Sys. Res. 9, 2, 126-163.
40. MARGOLIS, J. AND FISHER, A. 2002. Unlocking the Clubhouse: Women in Computing. MIT Press, Cambridge, MA.
41. MITCHELL, T., HOPPER, H., DANIELS, D., GEORGE-FALVY, J., AND JAMES, L. 1994. Predicting self-efficacy and performance during skill acquisition. J. Applied Psych. 79, 4, 506-517.
42. MORTON, E. 2005. Beyond the barriers: What women want in IT. Available online at http://BuilderAU.com.au.
43. MURPHY, C. AND OWEN, S. 1989. Development and validation of the computer self-efficacy scale. Educ. Psych. Meas. 49, 893-899.
44. NATIONAL CENTER FOR EDUCATION (NCES). 2004. NAEP Data Tool. Available online at http://nces.ed.gov.
45. OGLETREE, S. AND WILLIAMS, S. 1990. Sex and sex-typing effects on computer attitude and aptitude. Sex Roles 23, 11/12, 703-712.
46. PARSONS, T. 1984. The school class as social system. In Education, Policy and Society: Theoretical Perspectives. B. Cosin and M. Hales Eds., Routledge Kegan & Paul, New York, 85-105.
47. PEDHAZUR, E. J. 1997. Multiple Regression in Behavioral Research. Harcourt Brace, New York.
48. POTOWSKY, D. 2002. A field study of computer efficacy beliefs as an outcome of training: The role of computer playfulness, computer knowledge, and performance during training. Comput. Hum. Behav. 18, 241-255.
49. POWELL, R. 2008. Improving the persistence of first-year undergraduate women in computer science. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'08). 518-522.
50. ROSSON, M. B. AND CARROLL, J. M. 2010. Integrating information, technology and people by design: Design-first instruction for introductory students in information technology. In Proceedings of EDUCON (EDUCON'10). 1469-1475.
51. ROSSON, M. B., CARROLL, J.M., ZHAO, D., AND PAONE, T. 2009. wConnect: A Facebook-based developmental learning community to support women in information technology. In Proceedings of Communities & Technology (C&T'09). 125-134.
52. ROSSON, M. B., SINHA, H., AND EDOR, T. 2010. Design planning in end-user Web development: Gender, feature exploration and feelings of success. In Proceedings of the Visual Learning/Symposium on Human Centric Computing Languages and Environments (VL/HCC'10). 141-148.
53. SAVERY, J. R. AND DUFFY, T. M. 1995. Problem-based learning: An instructional model and its constructivist framework. In Constructivist Learning Environments: Case Studies in Instructional Design. B.G. Wilson Ed., Educational Technology Publications, Englewood Cliffs, NJ. 135-150.
54. SHASHAANI, L. 1993. Gender-based differences in attitudes toward computers. Comput. Educ. 20, 2, 169-181.
55. SINGH, K., ALLEN, K. R., SCHECKLER, R., AND DARLINGTON, L. 2007. Women in computer-related majors: A critical synthesis of research and theory from 1994 to 2005. Rev. Educ. Res. 77, 4, 500-533.
56. THATCHER, J. AND PERREWE, P. 2002. An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quart. 26, 4, 381-396.
57. THOMAS, T. AND ALLEN, A. 2006. Gender differences in students' perceptions of information technology as a career. J. Inf. Tech. Educ. 5, 165-178.
58. TINTO, V. 2000. Learning better together: The impact of learning communities on student success. J. Inst. Res. 9, 1, 48-53.
59. VESGO, J. 2008. CRA Taulbee trends: Female students and faculty. Available online at www.cra.org/info/taulbee/women.html.
60. VYGOTSKY, L. S. 1978. Mind in Society: The Development of Higher Psychological Processes (Translated by M. Cole, V. John-Steiner, S. Scribner, and E. Souberman). Harvard University Press, Cambridge, MA.
61. WEBSTER, J. AND MARTOCCHIO, J. J. 1992. Microcomputer playfulness: Development of a measure with workplace implications. MIS Quart. 16, 2, 201-226.
62. WIEDENBECK, S., SUN, X., AND CHINTAKOVID, T. 2007. Antecedents to end users' success in learning to program in an introductory programming course. In Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL-HCC'07). 69-72.
63. WOOD, R. AND BANDURA, A. 1989. Impact of conceptions of ability on self-regulatory mechanisms and complex decision-making. J. Person. Soc. Psych. 56, 407-415.
64. ZUR, E., IRANI, L., BARKER, L., AND GUZDIAL, M. 2005. Contrasting women's experiences in computer science at different institutions. In Proceedings of the Technical Symposium on Computer Science Education (SIGCSE'05). 63-64. (Pubitemid 40821203)
65. ZWEBIN, S. 2008. Computing Degrees and Enrollment Trends: From the 2007-2008 CRA Talbee Survey. Computing Research Association, Washington D.C.