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Perceived Need for Course Topics and Student Engagement in Computer Education

Year 2013, Volume: 26 Issue: 1, 49 - 70, 01.04.2013

Abstract

Student perceptions about course content, and student engagement, achievement, prior knowledge, and department of enrollment were investigated through an ex-post-facto research study at the school of education in a large university in Turkey. The following questions were explored: (1) What are the topics in computer literacy students are most and least interested in, (2) is this perception related to the department of enrollment, and (3) how do prior knowledge and department of enrollment affect engagement and achievement? ANOVA and MANOVA were used to analyze data from 212 freshmen taking the Computer-I course. It was found that students from different departments differ significantly on achievement and engagement. Moreover, achievement can be predicted from prior knowledge but prior knowledge cannot be predicted from engagement. Parallel to the literature, students who have little or no prior knowledge are less successful. Overall, students are not as much engaged in schoolwork as one would expect

References

  • Carini, R. M., Kuh, G. D., and Klein S. P. 2006. Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32.
  • Chapman, E. 2003a. Alternative approaches to assessing student engagement rates. Practical Assessment, Research and Evaluation, 8(13). URL http://PAREonline.net/getvn.asp?v=8&n=13
  • Chapman, E. 2003b. Assessing student engagement rates. ERIC Clearinghouse on Assesment and Evaluation. (ERIC:ED482269).
  • Chickering, A. W., and Gamson, Z. F. 1987. Seven principles for good practice in undergraduate education. AAHE Bulletin, 39(7), 3–7.
  • Cohen, L., Manion, L., and Morrison, K. 2000. Research methods in education (5th ed.). New York:RoutledgeFalmer.
  • Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
  • Dochy, F., Segers, M., and Buehl, M. M. 1999. The relation between assessment practices and outcomes of studies: The case of research on prior knowledge. Review of educational research, 69(2), 145.
  • Fraenkel, J., R., and Wallen, N., E. (2003). How to design evaluate research in education. 5th ed. New York:McGraw-Hill, Inc.
  • Fredricks, J. A., Blumenfeld, P. C., and Paris, A. H. 2004. School engagement: Potential of the concept, state of evidence. Review of Educational Research, 74(1), 59–109.
  • Johnson, M. A., and Lawson, A. E. 1998. What are the relative effects of reasoning ability and prior knowledge on biology achievement in expository and inquiry classes? Journal of Research in Science Teaching, 35(1), 89–103.
  • Lawson, A. E. 1983. Predicting science achievement: The role of developmental level, disembedding ability, mental capacity, prior knowledge, and beliefs. Journal of Research in Science Teaching, 20(2), 117–129.
  • Liu, H. C., Andre, T., and Greenbowe, T. 2008. The impact of learner's prior knowledge on their use of chemistry computer simulations: A case study. Journal of Science Education and Technology, 17(5), 466– 482.
  • Lord, H. G. 1973. Ex-post-facto studies as a research method. Special Report No.7320 (ERIC:ED090962).
  • Luu, K., and Freeman, J. G. 2011. An analysis of the relationship between information and communication technology (ICT) and scientific literacy in Canada and Australia, Computers and Education, 56(4), 1072–1082.
  • Marks, H. M. 2000, Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American Education Research Journal, 37(1), 153–184.
  • National Center for School Engagement, 2006. Quantifying school engagement: Research Report. Colorado Foundation for Families and Children, Denver.
  • National Research Council and the Institute of Medicine. 2004. Engaging schools: Fostering high school students' motivation to learn. Committee on Increasing High School Students' Engagement and Motivation to Learn. Washington, DC:The National Academies Press.
  • National Survey of Student Engagement. 2006. Engaged learning: Fostering success for all students (Annual Report 2006). Bloomington, IN:Indiana University Center for Postsecondary Research.
  • Natriello, G. 1984. Problems in the evaluation of students and student disengagement from secondary schools. Journal of Research and Development in Education, 17, 14–24.
  • Pascarella, E., and Terenzini, P. 2005. How college affects students (Vol. 2): A third decade of research. San Francisco:Jossey-Bass.
  • Schutz, P. A., Drogosz, L. M., White, V. E., and Distefano, C. 1998. Prior knowledge, attitude, and strategy use in an introduction to statistics course. Learning and Individual Differences, 10(4), 291–308.
  • Skinner and Belmont 1993. Motivation in the classroom: Reciprocal effects of teacher behaviour and student engagement across the school year. Journal of Educational Psychology, 85(4), 571–581.
  • Spires, H. A., Donley, J. and Penrose, A. M. 1990. Prior knowledge activation: Inducing text engagement in reading to learn. Paper presented at the annual meeting of the American Educational Research Association, Boston, MA.
  • Thompson, R. A., and Zamboanga, B. L. 2003. Prior knowledge and its relevance to student achievement in Introduction to Psychology. Teaching of Psychology, 30, 96–101.
  • Thompson, R. A., and Zamboanga, B. L. 2004. Academic aptitude and prior knowledge as predictors of student achievement in Introduction to Psychology. Journal of Educational Psychology Vol. 96(4), 778– 784. Başvuru: 28.05.2012
  • Yayına Kabul: 17.06.2013

Perceived Need for Course Topics and Student Engagement in Computer Education

Year 2013, Volume: 26 Issue: 1, 49 - 70, 01.04.2013

Abstract

Türkiye’deki bir üniversitede eğitim fakültesindeki öğrencilerin ders içerikleri hakkındaki algıları ile derse katılımı, başarısı, hazırbulunuşluğu ve bölümleri, ex-post-facto araştırma metodu yardımıyla araştırılmıştır. Şu sorulara cevap aranmıştır: (1) Bilgisayar okuryazarlığında öğrencilerin en çok ve en az ilgisini çeken konular nelerdir, (2) öğrencinin bölümü bu kararı etkilemekte midir ve (3) hazırbulunuşluk ve öğrencinin bölümü, öğrencinin başarısı ve derse katılımını nasıl etkiler? Birinci sınıfta okuyan ve Bilgisayar-I dersini alan 212 öğrenciden toplanan veri ANOVA ve MANOVA yardımıyla analiz edilmiştir. Farklı bölümlerde okuyan öğrencilerin başarı ve derse katılım düzeylerinin anlamlı bir şekilde farklı olduğu bulunmuştur. Başarı hazırbulunuşluğa bağlı olarak değişmektedir fakat hazırbulunuşluk öğrencinin derse katılımını etkilememektedir. Literatürde bulunduğu gibi, başlangıçta az veya hiç bilgisi olmayan öğrenciler ders sonunda daha az başarılı olmuşlardır. Genel itibariyle, öğrenciler derse kendilerinin beklenenden daha az vermektedirler

References

  • Carini, R. M., Kuh, G. D., and Klein S. P. 2006. Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32.
  • Chapman, E. 2003a. Alternative approaches to assessing student engagement rates. Practical Assessment, Research and Evaluation, 8(13). URL http://PAREonline.net/getvn.asp?v=8&n=13
  • Chapman, E. 2003b. Assessing student engagement rates. ERIC Clearinghouse on Assesment and Evaluation. (ERIC:ED482269).
  • Chickering, A. W., and Gamson, Z. F. 1987. Seven principles for good practice in undergraduate education. AAHE Bulletin, 39(7), 3–7.
  • Cohen, L., Manion, L., and Morrison, K. 2000. Research methods in education (5th ed.). New York:RoutledgeFalmer.
  • Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
  • Dochy, F., Segers, M., and Buehl, M. M. 1999. The relation between assessment practices and outcomes of studies: The case of research on prior knowledge. Review of educational research, 69(2), 145.
  • Fraenkel, J., R., and Wallen, N., E. (2003). How to design evaluate research in education. 5th ed. New York:McGraw-Hill, Inc.
  • Fredricks, J. A., Blumenfeld, P. C., and Paris, A. H. 2004. School engagement: Potential of the concept, state of evidence. Review of Educational Research, 74(1), 59–109.
  • Johnson, M. A., and Lawson, A. E. 1998. What are the relative effects of reasoning ability and prior knowledge on biology achievement in expository and inquiry classes? Journal of Research in Science Teaching, 35(1), 89–103.
  • Lawson, A. E. 1983. Predicting science achievement: The role of developmental level, disembedding ability, mental capacity, prior knowledge, and beliefs. Journal of Research in Science Teaching, 20(2), 117–129.
  • Liu, H. C., Andre, T., and Greenbowe, T. 2008. The impact of learner's prior knowledge on their use of chemistry computer simulations: A case study. Journal of Science Education and Technology, 17(5), 466– 482.
  • Lord, H. G. 1973. Ex-post-facto studies as a research method. Special Report No.7320 (ERIC:ED090962).
  • Luu, K., and Freeman, J. G. 2011. An analysis of the relationship between information and communication technology (ICT) and scientific literacy in Canada and Australia, Computers and Education, 56(4), 1072–1082.
  • Marks, H. M. 2000, Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American Education Research Journal, 37(1), 153–184.
  • National Center for School Engagement, 2006. Quantifying school engagement: Research Report. Colorado Foundation for Families and Children, Denver.
  • National Research Council and the Institute of Medicine. 2004. Engaging schools: Fostering high school students' motivation to learn. Committee on Increasing High School Students' Engagement and Motivation to Learn. Washington, DC:The National Academies Press.
  • National Survey of Student Engagement. 2006. Engaged learning: Fostering success for all students (Annual Report 2006). Bloomington, IN:Indiana University Center for Postsecondary Research.
  • Natriello, G. 1984. Problems in the evaluation of students and student disengagement from secondary schools. Journal of Research and Development in Education, 17, 14–24.
  • Pascarella, E., and Terenzini, P. 2005. How college affects students (Vol. 2): A third decade of research. San Francisco:Jossey-Bass.
  • Schutz, P. A., Drogosz, L. M., White, V. E., and Distefano, C. 1998. Prior knowledge, attitude, and strategy use in an introduction to statistics course. Learning and Individual Differences, 10(4), 291–308.
  • Skinner and Belmont 1993. Motivation in the classroom: Reciprocal effects of teacher behaviour and student engagement across the school year. Journal of Educational Psychology, 85(4), 571–581.
  • Spires, H. A., Donley, J. and Penrose, A. M. 1990. Prior knowledge activation: Inducing text engagement in reading to learn. Paper presented at the annual meeting of the American Educational Research Association, Boston, MA.
  • Thompson, R. A., and Zamboanga, B. L. 2003. Prior knowledge and its relevance to student achievement in Introduction to Psychology. Teaching of Psychology, 30, 96–101.
  • Thompson, R. A., and Zamboanga, B. L. 2004. Academic aptitude and prior knowledge as predictors of student achievement in Introduction to Psychology. Journal of Educational Psychology Vol. 96(4), 778– 784. Başvuru: 28.05.2012
  • Yayına Kabul: 17.06.2013
There are 26 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Semiral Öncü

Erhan Şengel This is me

Ömer Delialioğlu This is me

Publication Date April 1, 2013
Submission Date November 14, 2015
Published in Issue Year 2013 Volume: 26 Issue: 1

Cite

APA Öncü, S., Şengel, E., & Delialioğlu, Ö. (2013). Perceived Need for Course Topics and Student Engagement in Computer Education. Journal of Uludag University Faculty of Education, 26(1), 49-70.