Araştırma Makalesi
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Seçmeli Bilgisayar Dersi ve Bilgisayar Öz-Yeterlik Algısının 8. Sınıf Öğrencilerinin Seçmek İstedikleri Mesleklerle İlişkisi

Yıl 2007, Cilt: 40 Sayı: 2, 1 - 22, 01.10.2007
https://doi.org/10.1501/Egifak_0000000180

Öz

Bu araştırmanın amacı, ilköğretim okullarındaki seçmeli bilgisayar dersinin ve bilgisayar öz-yeterlik algısının 8. sınıf öğrencilerinin ileride seçmek istedikleri mesleklerle bir ilişkisinin olup olmadığını belirlemektir. Araştırma, 2040 ilköğretim 8. sınıf öğrencisi üzerinde gerçekleştirilmiştir. Katılımcıların %49’u kız, %51’i erkektir; %75’i seçmeli bilgisayar dersi alan, %25’i ise hiç bilgisayar dersi almamış öğrencilerdir. Tüm öğrencilere kişisel bilgilerini ve ileride seçmek istedikleri meslekleri belirlemeye yönelik kısa bir form ve “Bilgisayara İlişkin Öz-Yeterlik Algısı Ölçeği” uygulanmıştır. Veriler çözümlenirken betimsel istatistiklerin yanı sıra korelasyon, tek-yönlü varyans analizi, t-testi ve kay-kare kullanılmıştır. Sonuçlar, öğrencilerin yalnızca %8.6’sının birinci tercihinde, %6.6’sının ikinci tercihinde ve %4.9’unun ise üçüncü tercihinde bilgisayarlarla ilgili bir meslek seçmek istediğini göstermiştir. Sonuçlar ayrıca kızlar ile erkekler, bilgisayar dersi alanlar ile almayanlar, evinde bilgisayarı olanlar ile olmayanlar ve bilgisayar kullanmayı bilenler ile bilmeyenler arasında ileride bilgisayarlarla ilgili bir meslek seçme isteği açısından anlamlı farklılaşmalar olduğunu göstermiştir. Öte yandan, öğrencilerin seçmeli ders tercihleri içinde bilgisayar dersi birinci sırada gelmektedir. Bilgisayar dersi, okuldaki tüm dersler içinde öğrenciler tarafından en sevilen üçüncü derstir.

Kaynakça

  • Aşkar, P., ve Umay, A. (2001). İlköğretim Matematik Öğretmenliği Öğrencilerinin Bilgisayarla İlgili Öz-Yeterlik Algısı. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 21, 1-8. ,
  • Auger, R. W., Blackhurst, A., & Herting Wahl, K. (2005). The development of elementary-aged children’s career aspirations and expectations. Professional School Counseling, 8(4), 322-329. Brosnan, M. (1998). The role of psychological gender in the computer-related attitudes and attainments of primary school children (aged 6-11). Computers and Education, 30(4), 203-208.
  • Brown, B. L. (2001). Women and minorities in high-tech careers. ERIC Digest, No.226. ED452367. Clarke, V. A., & Teague, G. J. (1996). Characterizations of computing careers: Students and professionals disagree. Computers and Education, 26(4), 241-246.
  • Clegg, S., Mayfield, W., & Trayhurn, D. (1999). Disciplinary discourses: A case study of gender in information technology and design courses. Gender and Education, 11(1), 43-55.
  • Clegg, S., & Trayhurn, D. (1999). Gender and computing: Not the same old problem. British Educational Research Journal, 26(1), 75-89.
  • Colley, A., & Comber, C. (2003). School subject preferences: Age and gender differences revisited. Educational Studies, 29(1), 59-67.
  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-212.
  • Dickhäuser, O., & Steinsmeier-Pelster, J. (2002). Gender differences in computer-work: Evidence for the model of achievement-related choices. Contemporary Educational Psychology, 27, 486-496.
  • Dickhäuser, O., & Steinsmeier-Pelster, J. (2003). Gender differences in the choice of computer courses: Applying an expectancy-value model. Social Psychology of Education, 6, 173-189
  • Durndell, A. (1990). Why do female students tend to avoid computer studies? Research in Science & Technological Education, 8(2), 163-170.
  • Eccles, J. S. (2005). Studying gender and ethnic differences in participation in math, physical science, and information technology. New Directions for Child and Adolescent Development, 110, 7-14. Francis, B. (2002). Is the future really female? The impact and implications of gender for 14-16 year olds’ career choice. Journal of Education and Work, 15(1), 75-88.
  • Fuller, A. (1991).There’s more to science and skills shortages than demography and economics: Attitudes to science and technology degrees and careers. Studies in Higher Education, 16(3), 333-341.
  • Ginzberg, E. (1952). Toward a theory of occupational choice. Occupations, 30, 491-494.
  • Gupta, U., & Houtz, L. E. (2000). High school students’ perceptions of information technology skills and careers. Journal of Industrial Technology, 16(4), 1-8.
  • Hall, G. (2006). Teens and technology: Preparing for the future. New Directions for Youth Development, 111, 41-52.
  • Hendley, D., Stables, S., & Stables, A. (1996). Pupils’ subject preferences at Key Stage 3 in South Wales. Educational Studies, 22, 177-186.
  • Herting Wahl, K. H., & Blackhurst, A. (2000). Factors affecting the occupational and educational aspirations of children and adolescents. Professional School Counseling, 3(5), 367-374.
  • Karsten, R., & Roth, M. R. (1998). The relationship of computer experience and computer self-efficacy to performance in introductory computer literacy course. Journal of Research on Computing in Education, 31(1), 14-24.
  • Lockheed, M. E., & Mandinach, E. B. (1986). Trends in educational computing and the changing focus of instruction. Educational Researcher, 15(5), 21-26.
  • Lupart, J., & Cannon, E (2002). Computers and career choices: Gender differences in grades 7 and 10 students. Gender, Technology and Development, 6(2), 233-248.
  • McLaughlin, D. M., & Teideman, D. V. (1974). Eleven-year career stability and change as reflected in Project Talent data through the Flanagan, Holland, and Roe occupational classification systems. Journal of Vocational Behavior, 5, 177-196.
  • M.E.B. (1998). İlköğretim Okulları Seçmeli Bilgisayar Dersi 1-2-3-4-5 Öğretim Programı. Milli Eğitim Bakanlığı Tebliğler Dergisi, 2492,1030–1046.
  • M.E.B. (2001). Temel Eğitim Programı’ndan. Projeler Koordinasyon Merkezi Başkanlığı Temel Eğitim Programı Bültenleri, Cilt 1 (Şubat 1999-Aralık 2000). Ankara.
  • M.E.B. (2006). İlköğretim Bilgisayar Dersi (1–8. Sınıflar) Öğretim Programı. Ankara: M.E.B.
  • Miller, L., & Budd, J. (1999). The development of occupational sex-role stereotypes, occupational preferences and academic subject preferences in children at ages 8, 12 and 16. Educational Psychology, 19(1), 17-35.
  • Miura, I. T. (1987). The relationship of computer self-efficacy expectations to computer interest and course enrollment in college. Sex Roles, 16(5/6), 303-311.
  • Morton, L. L., Kryk, V., Awander, M., & Diubaldo, D. (1997). Career choice roots: The preadolescent career focus. Guidance & Counseling, 13(1), 10-15.
  • Nowak, K., & Krcmar, M. (2003). Improving computer efficacy and perceptions of technology related careers in the classroom: A case study. Paper presented at the annual meeting of the International Communication Association, San Diego, CA. doi: ica (AN 16028283).
  • Phillips, T. M., Cooper, W. E., & Johnson, J. T. (1995). Listen to the children: Where adolescents obtain their role models. Rural Educators, 17(1), 24-26.
  • Rees, T. (1999). Mainstreaming equality in the European Union. New York: Routledge.
  • Stables, A., & Wikeley, F. (1997). Changes in preference for and perceptions of relative importance of subjects during a period of educational reform. Educational Studies, 23, 393-403.
  • Teague, J. (1997). A structured review of reasons for the underrepresentation of women in computing. Proceedings of the 2nd Australian Conference on Computer Science Education (Vol. 2, pp.91-98).
  • Teague, J. (2000). Women in computing: What brings them to it, what keeps them in it? Gates, 5(1), 45-59.
  • Thomas, T., & Allen, A. (2006). Gender differences in students’ perceptions of information technology as a career. Journal of Information Technology Education, 5, 165-178.
  • Torkzadeh, G., Koufteros, X., & Pflughoeft, K. (2003). Confirmatory analysis of computer self-efficacy. Structural Equation Modeling, 10, 263-275. Trice, A. D., & King, R. (1991). Stability of kindergarten children’s career aspirations. Psychological Reports, 68, 1378.
  • Trice, A. D., & Knapp, L. (1992). Relationship of children’s career aspirations to parents’ occupations. The Journal of Genetic Psychology, 153(3), 355-357.
  • Trice, A. D., & McClellan, N. (1994). Does childhood matter? A rationale for the inclusion of childhood in theories of career decision. California Association for Counseling and Development Journal, 14, 35-44.
  • Turner, S. V., Bernt, P. W., & Pecora, N. (April, 2002). Why women choose information technology careers: Educational, social, and familial influences. Paper presented at the Annual Meeting of the American Educational Research Association. New Orleans, LA.
  • Wilbon, A. D. (2003). Shrinking the digital divide: The moderating role of technology environments. Technology in Society, 25, 83-97.
  • Young, B. (2000). Gender differences in student attitudes toward computers. Journal of Research on Technology in Education, 33(2), 204-216.
  • Zarett, N. R., & Malanchuk, O. (2005). Who’s computing? Gender and race differences in young adults’ decisions to pursue an information technology career. New Directions for Child and Adolescent Development, 110, 65-84.

The Relationships among Elective Computer Courses, Perceived Computer Self-Efficacy and the Career Aspirations of Eight-Graders

Yıl 2007, Cilt: 40 Sayı: 2, 1 - 22, 01.10.2007
https://doi.org/10.1501/Egifak_0000000180

Öz

The main purpose of this study was to identify the relationships among elementary school elective computer courses, perceived computer self-efficacy and the career aspirations of eight-graders. Participants were 2040 eight-graders from 15 different cities of Turkey. Of these participants 49% were girls, 51% were boys; 75% were taking elective computer courses, and 25% did not take any elective computer course in their elementary education period. Two instruments were used in this study; the Student’s Personal Information and Career Interests Sheet and the Computer Self-Efficacy Scale. Results showed that only 8.6% of the students reported an interest in pursuing a career in computer-related fields in the first choice, 6.6% reported in the second choice and 4.9% reported in the third choice. Results of chi-square analyses showed that students who had taken elective computer courses and students who had not taken an elective computer course as well as girls and boys differed significantly in their reported technology-related career interests. Besides, as might be expected, students with low and high computer self-efficacy differed significantly in their reported technology-related career interests. Results of this study also showed that computer wasthe first choice of students for an elective course and this subject was the third favourite school subject of the students.

Kaynakça

  • Aşkar, P., ve Umay, A. (2001). İlköğretim Matematik Öğretmenliği Öğrencilerinin Bilgisayarla İlgili Öz-Yeterlik Algısı. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 21, 1-8. ,
  • Auger, R. W., Blackhurst, A., & Herting Wahl, K. (2005). The development of elementary-aged children’s career aspirations and expectations. Professional School Counseling, 8(4), 322-329. Brosnan, M. (1998). The role of psychological gender in the computer-related attitudes and attainments of primary school children (aged 6-11). Computers and Education, 30(4), 203-208.
  • Brown, B. L. (2001). Women and minorities in high-tech careers. ERIC Digest, No.226. ED452367. Clarke, V. A., & Teague, G. J. (1996). Characterizations of computing careers: Students and professionals disagree. Computers and Education, 26(4), 241-246.
  • Clegg, S., Mayfield, W., & Trayhurn, D. (1999). Disciplinary discourses: A case study of gender in information technology and design courses. Gender and Education, 11(1), 43-55.
  • Clegg, S., & Trayhurn, D. (1999). Gender and computing: Not the same old problem. British Educational Research Journal, 26(1), 75-89.
  • Colley, A., & Comber, C. (2003). School subject preferences: Age and gender differences revisited. Educational Studies, 29(1), 59-67.
  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-212.
  • Dickhäuser, O., & Steinsmeier-Pelster, J. (2002). Gender differences in computer-work: Evidence for the model of achievement-related choices. Contemporary Educational Psychology, 27, 486-496.
  • Dickhäuser, O., & Steinsmeier-Pelster, J. (2003). Gender differences in the choice of computer courses: Applying an expectancy-value model. Social Psychology of Education, 6, 173-189
  • Durndell, A. (1990). Why do female students tend to avoid computer studies? Research in Science & Technological Education, 8(2), 163-170.
  • Eccles, J. S. (2005). Studying gender and ethnic differences in participation in math, physical science, and information technology. New Directions for Child and Adolescent Development, 110, 7-14. Francis, B. (2002). Is the future really female? The impact and implications of gender for 14-16 year olds’ career choice. Journal of Education and Work, 15(1), 75-88.
  • Fuller, A. (1991).There’s more to science and skills shortages than demography and economics: Attitudes to science and technology degrees and careers. Studies in Higher Education, 16(3), 333-341.
  • Ginzberg, E. (1952). Toward a theory of occupational choice. Occupations, 30, 491-494.
  • Gupta, U., & Houtz, L. E. (2000). High school students’ perceptions of information technology skills and careers. Journal of Industrial Technology, 16(4), 1-8.
  • Hall, G. (2006). Teens and technology: Preparing for the future. New Directions for Youth Development, 111, 41-52.
  • Hendley, D., Stables, S., & Stables, A. (1996). Pupils’ subject preferences at Key Stage 3 in South Wales. Educational Studies, 22, 177-186.
  • Herting Wahl, K. H., & Blackhurst, A. (2000). Factors affecting the occupational and educational aspirations of children and adolescents. Professional School Counseling, 3(5), 367-374.
  • Karsten, R., & Roth, M. R. (1998). The relationship of computer experience and computer self-efficacy to performance in introductory computer literacy course. Journal of Research on Computing in Education, 31(1), 14-24.
  • Lockheed, M. E., & Mandinach, E. B. (1986). Trends in educational computing and the changing focus of instruction. Educational Researcher, 15(5), 21-26.
  • Lupart, J., & Cannon, E (2002). Computers and career choices: Gender differences in grades 7 and 10 students. Gender, Technology and Development, 6(2), 233-248.
  • McLaughlin, D. M., & Teideman, D. V. (1974). Eleven-year career stability and change as reflected in Project Talent data through the Flanagan, Holland, and Roe occupational classification systems. Journal of Vocational Behavior, 5, 177-196.
  • M.E.B. (1998). İlköğretim Okulları Seçmeli Bilgisayar Dersi 1-2-3-4-5 Öğretim Programı. Milli Eğitim Bakanlığı Tebliğler Dergisi, 2492,1030–1046.
  • M.E.B. (2001). Temel Eğitim Programı’ndan. Projeler Koordinasyon Merkezi Başkanlığı Temel Eğitim Programı Bültenleri, Cilt 1 (Şubat 1999-Aralık 2000). Ankara.
  • M.E.B. (2006). İlköğretim Bilgisayar Dersi (1–8. Sınıflar) Öğretim Programı. Ankara: M.E.B.
  • Miller, L., & Budd, J. (1999). The development of occupational sex-role stereotypes, occupational preferences and academic subject preferences in children at ages 8, 12 and 16. Educational Psychology, 19(1), 17-35.
  • Miura, I. T. (1987). The relationship of computer self-efficacy expectations to computer interest and course enrollment in college. Sex Roles, 16(5/6), 303-311.
  • Morton, L. L., Kryk, V., Awander, M., & Diubaldo, D. (1997). Career choice roots: The preadolescent career focus. Guidance & Counseling, 13(1), 10-15.
  • Nowak, K., & Krcmar, M. (2003). Improving computer efficacy and perceptions of technology related careers in the classroom: A case study. Paper presented at the annual meeting of the International Communication Association, San Diego, CA. doi: ica (AN 16028283).
  • Phillips, T. M., Cooper, W. E., & Johnson, J. T. (1995). Listen to the children: Where adolescents obtain their role models. Rural Educators, 17(1), 24-26.
  • Rees, T. (1999). Mainstreaming equality in the European Union. New York: Routledge.
  • Stables, A., & Wikeley, F. (1997). Changes in preference for and perceptions of relative importance of subjects during a period of educational reform. Educational Studies, 23, 393-403.
  • Teague, J. (1997). A structured review of reasons for the underrepresentation of women in computing. Proceedings of the 2nd Australian Conference on Computer Science Education (Vol. 2, pp.91-98).
  • Teague, J. (2000). Women in computing: What brings them to it, what keeps them in it? Gates, 5(1), 45-59.
  • Thomas, T., & Allen, A. (2006). Gender differences in students’ perceptions of information technology as a career. Journal of Information Technology Education, 5, 165-178.
  • Torkzadeh, G., Koufteros, X., & Pflughoeft, K. (2003). Confirmatory analysis of computer self-efficacy. Structural Equation Modeling, 10, 263-275. Trice, A. D., & King, R. (1991). Stability of kindergarten children’s career aspirations. Psychological Reports, 68, 1378.
  • Trice, A. D., & Knapp, L. (1992). Relationship of children’s career aspirations to parents’ occupations. The Journal of Genetic Psychology, 153(3), 355-357.
  • Trice, A. D., & McClellan, N. (1994). Does childhood matter? A rationale for the inclusion of childhood in theories of career decision. California Association for Counseling and Development Journal, 14, 35-44.
  • Turner, S. V., Bernt, P. W., & Pecora, N. (April, 2002). Why women choose information technology careers: Educational, social, and familial influences. Paper presented at the Annual Meeting of the American Educational Research Association. New Orleans, LA.
  • Wilbon, A. D. (2003). Shrinking the digital divide: The moderating role of technology environments. Technology in Society, 25, 83-97.
  • Young, B. (2000). Gender differences in student attitudes toward computers. Journal of Research on Technology in Education, 33(2), 204-216.
  • Zarett, N. R., & Malanchuk, O. (2005). Who’s computing? Gender and race differences in young adults’ decisions to pursue an information technology career. New Directions for Child and Adolescent Development, 110, 65-84.
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Öğretim Teknolojileri, Eğitim Teknolojisi ve Bilgi İşlem
Diğer ID JA84RV39AA
Bölüm Araştırma Makalesi
Yazarlar

Deniz Deryakulu Bu kişi benim 0000-0002-6974-7183

Yayımlanma Tarihi 1 Ekim 2007
Yayımlandığı Sayı Yıl 2007 Cilt: 40 Sayı: 2

Kaynak Göster

APA Deryakulu, D. (2007). The Relationships among Elective Computer Courses, Perceived Computer Self-Efficacy and the Career Aspirations of Eight-Graders. Ankara University Journal of Faculty of Educational Sciences (JFES), 40(2), 1-22. https://doi.org/10.1501/Egifak_0000000180
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