Comparing Instructional Factors Related to Students’ Academic Self-Discipline in Norway and Finland
DOI:
https://doi.org/10.7577/njcie.2111Keywords:
Self-discipline, Instruction, ICT, Norway, FinlandAbstract
School learners can struggle with setting and striving for objectives that require sustained academic self‐discipline. We believe that teachers’ instructional qualities and school culture are factors that can successfully elicit students’ self-discipline in their academic work. This study explores and compares factors related to students’ academic self-discipline among Norwegian and Finnish youths at the upper secondary level. The Finnish students’ excellent results on international comparative tests have led many commentators to consider the Finnish model of education very worthy of emulation. Another reason to com-pare these two groups is that Finnish and Norwegian classrooms differ in their levels of in-class Internet access and computer use for learning purposes. From this perspective, it is interesting to compare empirical associations between instructional factors (as well as students’ school appreciation) and students’ academic self-discipline. The instructional factors in our theoretical model were teachers’ classroom management, teaching quality, teachers’ expressed expectations and the value students placed on the school as an institution. A total of 1433 urban Finnish and Norwegian upper secondary students in general study programmes participated in our cross-sectional questionnaire. We used structural equation modelling for our analysis, and the results show that the associations between instructional qualities (quality instruction, classroom management and high expectations) and academic self-discipline are overall stronger in the Finnish sample than the Norwegian sample. However, students’ appreciation for school was more highly associated with academic self-discipline in Norway than in Finland. Furthermore, the associations between in-class Internet access and motivational conflict were clearly higher in the Norwegian sample than in the Finnish sample. In both samples, we found strong associations between motivational conflict and academic self-discipline. We also discuss the meaning of these results and their implications for research and practice.
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Afdal, H. W. (2012). Constructing knowledge for the teaching profession: A comparative analysis of policy making, curricula content, and novice teachers’ knowledge relations in the cases of Finland and Norway. Ph.D. thesis. Oslo: Department of Education, University of Oslo.
Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A., & Tsai, Y. M. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Educational Research Journal, 47(1), 133-180. https://doi.org/10.3102/0002831209345157
Berliner, D. C. (1990). What’s all the fuss about instructional time? In D. C. Berliner (Ed.), The nature of time in schools, theoretical concepts, practitioner perceptions (pp.3-35). New York, NY: Teachers College Press.
Blossing, U., Imsen, G., & Moos, L. (2014). Schools for all: A Nordic model. In U. Blossing, G. Imsen, & L. Moos (Eds.), The Nordic education model: ‘School for all’ encounters neo-liberal policy (pp. 1-14). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-7125-3_13
Brophy, J. (1986). Teacher influences on student achievement. American Psychologist, 41(10), 1069-1077. https://doi.org/10.1037/0003-066X.41.10.1069
Duckworth, A. L., & Seligman, M. E. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16(12), 939-944. https://doi.org/10.1111/j.1467-9280.2005.01641.x
Duckworth, A. L., & Seligman, M. E. (2006). Self-discipline gives girls the edge: Gender in self-discipline, grades, and achievement test scores. Journal of Educational Psychology, 98(1), 198-208. https://doi.org/10.1037/0022-0663.98.1.198
Elstad, E. (2002). Towards a Model of Strategic Actions in the Classroom: Games theory as research heuristic. Scandinavian Journal of Educational Research, 46(1), 65-82. https://doi.org/10.1080/00313830120115615
Elstad, E. (2006). Understanding the nature of accountability failures in the technology-filled classroom: disaffected students and teachers who give in. Journal of Curriculum Studies, 38(4), 459-481. https://doi.org/10.1080/00220270500508901
Elstad, E. (2008). Building self-discipline to promote learning: students’ volitional strategies to navigate the demands of schooling. Learning Inquiry, 2(1), 53-71. https://doi.org/10.1007/s11519-008-0027-3
European Commission. (2013). Survey of schools: ICT in education. Retrieved from https://ec.europa.eu/digital-agenda/sites/digital-agenda/files/KK-31-13-401-EN-N.pdf
Fogg, B. J. (2009). A behavior model for persuasive design. Proceedings of the 4th International Conference on Persuasive Technology. https://doi.org/10.1145/1541948.1541999
Hancock, L. N. (2011, September 10). Why are Finland’s schools successful? Smithsonian Magazine. Retrieved from http://www.smithsonianmag.com/innovation/why-are-finlands-schools-successful-49859555/
Hatlevik, O. E., & Christophersen, K. A. (2013). Digital competence at the beginning of upper secondary school: Identifying factors explaining digital inclusion. Computers & Education, 63(5) 240-247. https://doi.org/10.1016/j.compedu.2012.11.015
Helgøy, I., & Homme, A. (2007). Towards a new professionalism in school? A comparative study of teacher autonomy in Norway and Sweden. European Educational Research Journal, 6(3), 232-249. https://doi.org/10.2304/eerj.2007.6.3.232
Helgøy, I., & Homme, A. (2016). Educational reforms and marketization in Norway – A challenge to the tradition of social democratic, inclusive school? Comparative & International Education, 11(1), 52-68. https://doi.org/10.1177/1745499916631063
Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42(2), 371-406. https://doi.org/10.3102/00028312042002371
Kahneman, D. (2011). Thinking fast and slow. New York, NY: MacMillan.
Kim, E. J., Namkoong, K., Ku, T., & Kim, S. J. (2008). The relationship between online game addiction and aggression, self-control and narcissistic personality traits. European Psychiatry, 23(3), 212-218. https://doi.org/10.1016/j.eurpsy.2007.10.010
Kline, R. B. (2015). Principles and practice of structural equation modeling. New York, NY: Guilford Publications.
Kohn, A. (2006). Beyond discipline: From compliance to community. Alexandria, VA: Association for Supervision and Curriculum Development.
Krumsvik, R. J. (2011). Digital competence in the Norwegian teacher education and schools. Högre utbildning, 1(1), 39-51.
Lavonen, J., & Laaksonen, S. (2009). Context of teaching and learning school science in Finland: Reflections on PISA 2006 results. Journal of Research in Science Teaching, 46(8), 922-944. https://doi.org/10.1002/tea.20339
Loewenthal, K. M. (2004). An introduction to psychological tests and scales (2nd ed.). Hove, UK: Psychology Press.
MacNeil, A. J., Prater, D. L., & Busch, S. (2009). The effects of school culture and climate on student achievement. International Journal of Leadership in Education, 12(1), 73-84. https://doi.org/10.1080/13603120701576241
Mehroof, M., & Griffiths, M. D. (2010). Online gaming addiction: The role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. Cyberpsychology, Behavior, and Social Networking, 13(3), 313-316. https://doi.org/10.1089/cyber.2009.0229
Martin, M. O., Mullis, I. V. S., Foy, P., & Hooper, M. (2016). TIMSS 2015 international results in science. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
Mischel, W., & Shoda, Y. (1995). A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102(2), 246. https://doi.org/10.1037/0033-295X.102.2.246
Mullis, I. V. S., Martin, M. O., Foy, P., & Hooper, M. (2016). TIMSS 2015 international results in mathematics. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
Nordenbo, S. E., Søgaard Larsen, M., Tiftikçi, N., Wendt, R. E., & Østergaard, S. (2008). Lærerkompetencer og elevers læring i førskole og skole. Et systematisk review utfört for Kunnskapsdepartementet, Oslo. København: Danmarks Pædagogiske Universitetsskole.
Nunnally, J. C., & Bernstein, I. H. (1994). The assessment of reliability. Psychometric Theory, 3(1), 248-292.
OECD. (2009). School Questionnaire for PISA 2009. Paris: OECD Publishing.
OECD. (2014). TALIS 2013 results: An international perspective on teaching and learning. Paris: OECD Publishing. https://doi.org/10.1787/9789264196261-en
OECD. (2016a). PISA 2015 results (volume I). Excellence and equity in education. Paris: OECD.
OECD. (2016b). PISA 2015 results (volume II). Policies and practices for successful schools. Paris: OECD.
OECD. (2017). PISA 2015 results (volume III). Students’ well-being. Paris: OECD.
Piopiunik, M., Hanushek, E. A., & Wiederhold, S. (2014). The impact of teacher skills on student performance across countries. Stuttgart: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2014: Evidenzbasierte Wirtschaftspolitik - Session: Education I, No. A18-V3.
Rockoff, J. E. (2004). The impact of individual teachers on student achievement: Evidence from panel data. American Economic Review, 94(2), 247-252. https://doi.org/10.1257/0002828041302244
Rosenshine, B. (1983). Teaching functions in instructional programs. Elementary School Journal, 83(4), 335-351. https://doi.org/10.1086/461321
Rubie-Davies, C. M., Peterson, E. R., Sibley, C. G., & Rosenthal, R. (2015). A teacher expectation intervention: Modelling the practices of high expectation teachers. Contemporary Educational Psychology, 40(2), 72-85. https://doi.org/10.1016/j.cedpsych.2014.03.003
Sahlberg, P. (2014). Finnish lessons 2.0: What can the world learn from educational change in Finland? New York, NY: Teachers College Record.
Salomon, G., & Perkins, D. (2005). Do technologies make us smarter? Intellectual amplification with, of, and through technology. In D. D. Preiss & R. Sternberg (Eds.), Intelligence and technology (pp. 71-86). Mahwah, NJ: LEA.
Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62(1), 24-31. https://doi.org/10.1016/j.compedu.2012.10.003
Shadish, W., Cook, T., & Campbell, D. (2002). Experimental and quasi-experimental designs for generalized causal inference. MA: Houghton Mifflin.
Simola, H. (2005). The Finnish miracle of PISA: Historical and sociological remarks on teaching and teacher education. Comparative Education, 41(4), 455-470. https://doi.org/10.1080/03050060500317810
Sugai, G., & Horner, R. (2002). The evolution of discipline practices: School-wide positive behavior supports. Child & Family Behavior Therapy, 24(1-2), 23-50. https://doi.org/10.1300/J019v24n01_03
Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self‐control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72(2), 271-324. https://doi.org/10.1111/j.0022-3506.2004.00263.x
Tett, R. P., & Guterman, H. A. (2000). Situation trait relevance, trait expression, and cross-situational consistency: Testing a principle of trait activation. Journal of Research in Personality, 34(4), 397-423. https://doi.org/10.1006/jrpe.2000.2292
The Norwegian Directorate for Education and Training (2013). English Subject Curriculum. Retrieved from https://www.udir.no/kl06/ENG1-03/Hele/Kompetansemaal/competence-aims-after-vg1-%E2%80%93-programmes-for-general-studies-and-vg2-%E2%80%93-vocational-education-programmes?lplang=eng
Voelkl, K. E. (2012). School identification. In S. J. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 193-218). New York, NY: Springer. https://doi.org/10.1007/978-1-4614-2018-7_9
Zhao, R., & Kuo, Y. L. (2015). The role of self-discipline in predicting achievement for 10th graders. International Journal of Intelligent Technologies and Applied Statistics, 8(1), 61-70.
Østerud, S. (2016). Hva kan norsk skole lære av PISA-vinneren Finland? Nordisk tidsskrift for pedagogikk og kritikk, 2(1), 14-35.
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