AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME

Yıl: 2023 Cilt: 13 Sayı: 1 Sayfa Aralığı: 1 - 23 Metin Dili: İngilizce DOI: 10.17943/etku.1059409 İndeks Tarihi: 18-07-2023

AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME

Öz:
As use of technology continues its rapid growth among students, both within and outside of the educational context, its effect on students’ performance and attitudes becomes an increasingly important question to address. If computers move from being supplements to being the core of the learning environment and students’ daily life, this may constraint opportunities for social and intellectual development interfering with their reading and the learning activities. The purpose of this study is to compare the relationships that exist between students’ computer and Internet use and students’ reading enjoyment time and attitudes toward school for 15-year-old students in Türkiye, based on data from the Program for International Student Assessment (PISA) 2018. The sample includes 4996 students who participated in Internet use and school achievements questionnaires. By using SPSS, survey results are organized and the correlation matrix of the variables being used in the analyses is created. And then, to test the hypothesized model, AMOS 4.0 software is used. For testing that hypnotized model, the technique of SEM (Structural Equation Modeling) is used. The path model indicating the possible relationship is tested. The endogenous variables are (1) Reading enjoyment time and (2) Attitude toward school while the exogenous variables are (1) Computer use in classroom, (2) Internet use at school (out of class), (3) Internet use at home, (4) Internet use for entertainment, and (5) Index of economic, social, cultural status. With the runned path model analysis, the results of this study indicate that computer and Internet use in school are positively related with Internet use at home which seems to have a negative relationship with reading enjoyment time.
Anahtar Kelime: computer use attitude toward school reading enjoyment

ÖĞRENCİLERİN BİLGİSAYAR KULLANIMI, OKULA KARŞI TUTUMLARI VE KİTAP OKUMAK İÇİN GEÇİRDİKLERİ ZAMAN ARASINDAKİ İLİŞKİ: PISA VERİLERİNİN ANALİZİ

Öz:
Bilgisayar ve tabletlerin evlerde eğitim amaçlı kullanımının hızla artımasının öğrencilerin performansı ve tutumları üzerindeki etkisi, incelenmesi gereken çok önemli bir soru haline gelmekedir. Bilgisayarlar tamamlayıcı olmaktan, öğrenme ortamının ve öğrencilerin günlük yaşamının çekirdeği olmaya geçmesi durumu, öğrenme sürecine müdahale ederek, öğrencilerin sosyal ve entelektüel gelişim fırsatlarını ciddi bir ölçüde kısıtlayabilir. Evde eğitim amaçlı bilgisayar kullanımının bu derece büyümesinin olası sonuçları incelenmelidir. Bu çalışmanın amacı, Türkiye'deki 15 yaşındaki öğrencilerin bilgisayar ve internet kullanımı ile kitap okuma ile geçirdikleri keyifli zaman ve okula karşı tutumları arasındaki ilişkileri Uluslararası Öğrenci Değerlendirme Programı -PISA, 2018- verilerine dayanarak karşılaştırmaktır. Örneklem, internet kullanımı ve okul başarıları anketlerine katılan 4996 öğrenciyi kapsamaktadır. SPSS kullanılarak anket sonuçları düzenlenmiş ve analizlerde kullanılan değişkenlerin korelasyon matrisi oluşturulmuştur. Ardından, varsayılan modeli test etmek için AMOS 4.0 yazılımı kullanılmıştır. Bu hipotize edilmiş modeli test etmek için “Yapısal Eşitlik Modelleme” (YEM) tekniği kullanılmıştır. Öğrencilerin bilgisayar kullanımı ile okuma zamanı ve okula yönelik tutumları arasındaki ilişkiyi gösteren yol modeli test edilmiştir. Çalışmada içsel değişkenler (1) Okumadan keyif alma zamanı ve (2) Okula karşı tutumlar; dışsal değişkenler (1) Sınıfta bilgisayar kullanımı, (2) Okulda internet kullanımı (sınıf dışı), (3) Evde internet kullanımı, (4) İnternetin eğlence amaçlı kullanımı ve (5) Ekonomik, sosyal, kültürel durum endeksi olarak belirtilmiştir. Yol modeli analizine göre, evde bilgisayar kullanımı ile okula karşı tutum arasında ve evde bilgisayar kullanımı ile okuma keyfi süresi arasında negatif bir ilişki olduğu görünmektedir.
Anahtar Kelime: bilgisayar kullanımı okula karşı tutum okuma ile geçen süre

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Abdullah, Z. D., Ziden, A. B. A., Aman, R. B. C., & Mustafa, K. I. (2015). Students’ attitudes towards information technology and the relationship with their academic achievement. Contemporary Educational Technology, 6 (4), 338-354.
  • Abu-Hilal, M. M. (2000). A structural model of attitudes towards school subjects, academic aspiration and achievement. Educational Psychology, 20(1), 75-84.
  • Alliance for Childhood. (2004). Tech tonic: Towards a new literacy of technology. College Park, MD: Author.
  • Anand, V. (2007). A study of time management: the correlations between video game usage and academic performance markers. CyberPsychology and Behavior, 10(4), 552e559. http://dx.doi.org/10.1089/cpb.2007.9991.
  • Ayieko, R. A., Gokbel, E. N., & Nelson, B. (2017). Does Computer Use Matter? The Influence of Computer Usage on Eighth-Grade Students' Mathematics Reasoning. In FIRE: Forum for International Research in Education (Vol. 4, No. 1, pp. 67-87). Lehigh University Library and Technology Services. 8A East Packer Avenue, Fairchild Martindale Library Room 514, Bethlehem, PA 18015.
  • Bugeja, M. J. (2007). Distractions in the wireless classroom. Chronicle of Higher Education, 53(21), C1–C4.
  • Chen, Y. F., and Peng, S. S., (2008). University students' internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation. CyberPsychology and Behavior, 11(4), 467e469. http://dx.doi.org/10.1089/cpb.2007.0128.
  • Chou, C. (2001). Internet heavy use and addiction among Taiwanese college students: an online interview study. CyberPsychology and Behavior, 4(5), 573-585.
  • Ethington, C. (1991) A test of a model of achievement behaviors. American Educational Research Journal, 28, 155-172.
  • Fairlie, R. W., and Robinson, J. (2013). Experimental evidence on the effects of home computers on academic achievement among school children. American Economic Journal: Applied Economics, 5(3), 211–240.
  • Fiorini, M. (2010). The effect of home computer use on children’s cognitive and non-cognitive skills. Economics of Education Review, 29(1), 55–72.
  • Fraillon, J., Ainley, J., Schulz, W., Friedman, T., and Gebhardt, E. (2014). Preparing for life in a digital age. The IEA international computer and information literacy study international report. New York: Springer.
  • Fried, C. B. (2008). In-class laptop use and its effects on student learning. Computers and Education, 50(3), 906–914.
  • Fuchs, T., and Wößmann, L. (2004). Computers and student learning: Bivariate and multivariate evidence on the availability and use of computers at home and at school. Brussels Economic Review, 47, 359–385.
  • Germann, P. J. (1988). Development of the attitude toward science in school assessment and its use to investigate the relationship between science achievement and attitude toward science in school. Journal of research in science teaching, 25(8), 689-703.
  • Göksu, İ., & Bolat, Y. İ. (2020). Teknoloji kullanımı Türkiye’de öğrencilerin akademik başarılarını etkiliyor mu? Bir Meta-Analiz çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 10(1), 138-176.
  • Gürcan, F., & Özyurt, Ö. (2020). Emerging trends and knowledge domains in E-learning researches: Topic modeling analysis with the articles published between 2008- 2018. Journal of Computer and Education Research, 8(16), 738-756.
  • Grimes, D., and Warschauer, M. (2008). Learning with laptops: A multi-method case study. Journal of Educational Computing Research, 38(3), 305–332.
  • Healy, J. (1999). Failure to connect: How computers affect our children's minds—and what we can do about it. New York: Simon and Schuster.
  • Holcomb, L. B. (2009). Results and lessons learned from 1:1 laptop initiatives: A collective review. TechTrends, 53(6), 49–55.
  • Hu, L. T., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
  • Hussain, I. (2007). A study of student’s attitude towards virtual education in Pakistan. Turkish Journal of Distance Learning, 8(2), 69-79.
  • Jacobsen, W. C., and Forste, R. (2011). The wired generation: academic and social outcomes of electronic media use among university students. CyberPsychology, Behavior, and Social Networking, 14(5), 275-280. http://dx.doi.org/10.1089/cyber.2010.0135.
  • James, R., & Lamb, C. (2000). Integrating science, mathematics, and technology in middle school technology-rich environments: A study of implementation and change. School Science & Mathematics, 100(1), 27 – 36.
  • Jan, S. (2018). Investigating the Relationship between Students' Digital Literacy and Their Attitude towards Using ICT. International Journal of Educational Technology, 5(2), 26-34.
  • Junco, R. (2012). In-class multitasking and academic performance. Computers in Human Behavior, 28(6), 2236–2243.
  • Kerlinger, F. (1984) Liberalism and Conservatism: the nature and structure of social attitudes (Hillsdale, NJ, Lawrence Erlbaum Associates).
  • Kline, R. B. (2011). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
  • Kubey, R. W., Lavin, M. J., and Barrows, J. R. (2001). Internet use and collegiate academic performance decrements: early findings. Journal of Communication, 51(2), 366e382.
  • Kulik, J. (1994). Meta-analytic studies of finding on computer-based instruction. In E.L. Baker, and H.F. O’Neil, Jr. (Eds.). Technology assessment in education and training. Hillsdale, NJ: Lawrence Erlbaum.
  • Kurt, A. A., Küçük, B., Boynukara, M., & Odabaşı, F. (2021). Dijital Çelinme: bir kavram çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 11(1), 48-64.
  • Lei, J., & Zhao, Y. (2007). Technology uses and student achievement: A longitudinal study. Computers & Education, 49(2), 284-296.
  • Loong, E. Y., & Herbert, S. (2012). Student perspectives of web-based mathematics. International Journal of Educational Research, 53, 117-126. DOI:10.1016/j.ijer.2012.03.002
  • Marois, R., and Ivanoff, J. (2005). Capacity limits of information processing in the brain. Trends in Cognitive Science, 9(6), 296e305.
  • Marsh, H. and Yeung, A.S. (1998) Longitudinal structural equation models of academic self- concept and achievement: gender differences in the development of math and English constructs, American Educational Research Journal, 35, pp. 705-735.
  • McCoy, B. (2013). Digital distractions in the classroom: Student classroom use of digital devices for non-class related purposes. Journal of Media Education, 4, 5–14.
  • Monsell, S. (2003). Task switching. Trends in Cognitive Science, 7(3), 134-140. http://dx.doi.org/10.1016/S1364-6613(03)00028-7.
  • Mumtaz, S. (2001). Children's enjoyment and perception of computer use in the home and the school. Computers and Education, 36(4), 347-362.
  • Neuman, S. B. (1995). Literacy in the television age: The myth of the TV effect. Norwood, N.J.: Ablex.
  • OECD. (2015). Students, computers and learning: Making the connection. Paris: OECD Publishing.
  • Oehlkers, W. J., and DiDonato, C. (2012). Will Technology Advance Learning, or Prove a Distraction? Education Week.
  • Ophir, E., Nass, C., and Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences of the United States of America: Social Sciences e Psychological and Cognitive Science, 106(37), 15583e15587. http://dx.doi.org/10.1073/pnas.0903620106.
  • Papanastasiou, C. (2002). School, teaching and family influence on student attitudes toward science: Based on TIMSS data for Cyprus. Studies in Educational Evaluation, 28(1), 71-86.
  • Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational psychology review, 18(4), 315-341.
  • PISA 2018 Database (2018). OECD PISA Database Online. https://www.oecd.org/pisa/data/2018database/
  • Ravitz, J., Mergendoller, J. and Rush, W. (2002, April). Cautionary tales about correlations between student computer use and academic achievement. Paper presented at annual meeting of the American Educational Research Association. New Orleans, LA.
  • Rosén, M., and Gustafsson, J. E. (2016). Is computer availability at home causally related to reading achievement in grade 4? A longitudinal difference in differences approach to IEA data from 1991 to 2006. Large-scale Assessments in Education, 4(1), 5.
  • Rosén, M., and Gustafsson, J.-E. (2014). Has the increased access to computers at home caused reading achievement to decrease in Sweden? In R. Strietholt, W. Bos, J.-E. Gustafsson, and M. Rosén (Eds.), Educational policy evaluation through international comparative assessments. Muenster, New York: Waxmann Verlag.
  • Rosenqvist, J., Lahti-Nuuttila, P., Holdnack, J., Kemp, S. L., and Laasonen, M. (2016). Relationship of TV watching, computer use, and reading to children's neurocognitive functions. Journal of Applied Developmental Psychology, 46, 11-21.
  • Sana, F. (2012). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers and Education, 62, 24–31.
  • Schacter, J. (2001). The impact of education technology on student achievement: What the most current research has to say. Santa Monica, CA: Milken Exchange on Education Technology. Retrieved from http://www.mff.org/pubs/ME161.pdf
  • Schofield, H. (1982) Sex, grade level, and the relationship between mathematics attitude and achievement in children, Journal of Educational Research, 75, pp. 280-284.
  • Sivin-Kachala, J. (1998). Report on the effectiveness of technology in schools, 1990 – 1997. Washington, DC: Software Publisher’s Association.
  • Skolnik, R., and Puzo, M. (2008). Utilization of laptop computers in the school of business classroom. Academy of Educational Leadership Journal, 12(2), 1–10.
  • Skoric, M. M., Teo, L. L. C., and Neo, R. L. (2009). Children and video games: Addiction, engagement, and scholastic achievement. Cyberpsychology and Behavior, 12(5), 567– 572. http://dx.doi.org/10.1089/cpb.2009.0079.
  • Sharif, I., Wills, T. A., and Sargent, J. D. (2010). Effect of visual media use on school performance: A prospective study. Journal of Adolescent Health, 46(1), 52–61. http:// dx.doi.org/10.1016/j.jadohealth.2009.05.012.
  • Srite, M., Thatcher, J. B., & Galy, E. (2008). Does within-culture variation matter? An empirical study of computer usage. Journal of Global Information Management (JGIM), 16(1), 1-25.
  • Streiner, D. L. (2006). Building a better model: an introduction to structural equation modelling. The Canadian Journal of Psychiatry, 51(5), 317-324.
  • Subrahmanyam, K., Kraut, R. E., Greenfield, P. M., and Gross, E. F. (2000). The impact of home computer use on children’s activities and development. Children and Computer Technology, 10(2), 123–144.
  • Vekiri, I., & Chronaki, A. (2008). Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers & Education, 51(3), 1392-1404. DOI:10.1016/j.compedu.2008.01.003
  • Vigdor, J. L., Ladd, H. F., and Martinez, E. (2014). Scaling the digital divide: Home computer technology and dtudent achievement. Economic Inquiry, 52(3), 1103–1119.
  • Vrasidas, C., & Glass, G. V. (2002). A conceptual framework for studying distance education. Distance education and distributed learning, 31.
  • Weglinsky, H. (1998). Does It Compute? The Relationship between Educational Technology andStudent Achievement in Mathematics. Princeton, NJ: ETS Policy Information Center. Available online:http://www.ets.org/research/pic/technology.html.
  • Wenglinsky, H. (2005). Technology and achievement: The bottom line. Educational Leadership, 63(4), 29.
  • Wittwer, J., and Senkbeil, M. (2008). Is students’ computer use at home related to their mathematical performance at school? Computers and Education, 50(4), 1558–1571.
  • Wentworth, D. K., and Middleton, J. H. (2014). Technology use and academic performance. Computers and Education, 78, 306-311.
  • Wilkins, J. L., and Ma, X. (2003). Modeling change in student attitude toward and beliefs about mathematics. The Journal of Educational Research, 97(1), 52-63.
  • Wittwer, J., & Senkbeil, M. (2008). Is students’ computer use at home related to their mathematical performance at school? Computers & Education, 50(4), 1558-1571. DOI:10.1016/j.compedu.2007.03.001
  • Wood, E., Zivcakova, L., Gentile, P., Archer, K., De Pasquale, D., and Nosko, A. (2012). Examining the impact of off-task multitasking with technology on real-time classroom learning. Computers and Education, 58(1), 365–374.
APA ozturk e (2023). AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. , 1 - 23. 10.17943/etku.1059409
Chicago ozturk elif AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. (2023): 1 - 23. 10.17943/etku.1059409
MLA ozturk elif AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. , 2023, ss.1 - 23. 10.17943/etku.1059409
AMA ozturk e AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. . 2023; 1 - 23. 10.17943/etku.1059409
Vancouver ozturk e AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. . 2023; 1 - 23. 10.17943/etku.1059409
IEEE ozturk e "AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME." , ss.1 - 23, 2023. 10.17943/etku.1059409
ISNAD ozturk, elif. "AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME". (2023), 1-23. https://doi.org/10.17943/etku.1059409
APA ozturk e (2023). AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. Eğitim Teknolojisi Kuram ve Uygulama, 13(1), 1 - 23. 10.17943/etku.1059409
Chicago ozturk elif AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. Eğitim Teknolojisi Kuram ve Uygulama 13, no.1 (2023): 1 - 23. 10.17943/etku.1059409
MLA ozturk elif AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. Eğitim Teknolojisi Kuram ve Uygulama, vol.13, no.1, 2023, ss.1 - 23. 10.17943/etku.1059409
AMA ozturk e AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. Eğitim Teknolojisi Kuram ve Uygulama. 2023; 13(1): 1 - 23. 10.17943/etku.1059409
Vancouver ozturk e AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME. Eğitim Teknolojisi Kuram ve Uygulama. 2023; 13(1): 1 - 23. 10.17943/etku.1059409
IEEE ozturk e "AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME." Eğitim Teknolojisi Kuram ve Uygulama, 13, ss.1 - 23, 2023. 10.17943/etku.1059409
ISNAD ozturk, elif. "AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME". Eğitim Teknolojisi Kuram ve Uygulama 13/1 (2023), 1-23. https://doi.org/10.17943/etku.1059409