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EURASIA Journal of Mathematics, Science and Technology Education
Volume 13, Issue 6 (June 2017), pp. 1701-1722

DOI: 10.12973/eurasia.2017.00693a

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Research Article

Published online on Apr 18, 2017

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Relational Analysis of High School Students’ Cognitive Self-Regulated Learning Strategies and Conceptions of Learning Biology

Özlem Sadi


The purpose of this study was to analyze the relation between students’ cognitive learning strategies and conceptions of learning biology. The two scales, “Cognitive Learning Strategies” and “Conceptions of Learning Biology”, were revised and adapted to biology in order to measure the students’ learning strategies and conceptions of learning. First of all, it was found that students preferred higher-level conceptions of learning such as ‘increasing knowledge’, ‘seeing in a new way’, and ‘understanding’ to lower-level conceptions such as ‘memorizing’, ‘preparing for exams’ and ‘calculating and practicing’. According to the results of regression analysis, it was seen that ‘memorizing’ and ‘application’ was common among the high school students while predicting the cognitive learning strategies. Moreover, the students who had higher-level conceptions of learning had a tendency to use strategies such as “organization,” “elaboration,” and “critical thinking.” The students who adopted “memorizing” as a lower-level conception of learning preferred “rehearsal” learning strategy. However, “memorizing” as a lower level conception of learning also positively predicts “organization,” “elaboration” and “critical thinking.” This special condition, which did not show parallelism with the related literature, was taken into consideration and interpreted when discussing the relational analysis of link between conceptions of learning and cognitive learning strategies. 

Keywords: biology, conceptions of learning, learning strategies

  1. Ashwin, P., & Trigwell, K. (2012). Evoked prior experiences in first-year university student learning. Higher Education Research & Development, 31(4), 449-463. doi:10.1111/j.2044-8279.2012.02066
  2. Benson, P., & Lor, W. (1999). Conceptions of language and language learning system. Brown, H.D. (Ed.), in Principles and Practices of Language Learning and Teaching (p.459-472). NJ: Prentice Hall.
  3. Biggs, J., & Moore, P. (1993). Teaching for better learning. In J. Biggs and P. Moore, The processes of learning, New York: Prentice Hall, pp 447-482. Biggs, 1991.
  4. Bliuc, A. M., Ellis, R. A., Goodyear, P., & Piggott, L. (2011). A blended learning approach to teaching foreign policy: Student experiences of learning through face-to-face and online discussion and their relationship to academic performance. Computers & Education, 56(3), 856-864.
  5. Brownlee, J., Purdie, N., & Boulton-Lewis, G. (2001). Changing epistemological beliefs in pre- service teacher education students. Teaching in Higher Education, 6(2), 247-268.
  6. Buehl, M. M., & Alexander, P. A. (2001). Beliefs about academic knowledge. Educational Psychology Review, 13, 325-351.
  7. Büyüköztürk, S. (2011). Sosyal bilimler için very analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum. [Manual data analysis for the social sciences: statistics, research design, SPSS application and interpretation]. Ankara, Pegem.
  8. Büyüköztürk, S., Akgün, Ö. A., Özkahveci, Ö., & Demirel, F. (2004). The validity and reliability study of the Turkish version of the motivated strategies for learning questionnaire. Educational Sciences: Theory & Practice, 4(2), 207-239.
  9. Chan K. W. (2003). Hong Kong teacher education students’ epistemological beliefs and approaches to learning. Research in Education, 69(1), 36-50.
  10. Chan, K. W. (2006). The structure and nature of epistemological beliefs: Implications from literature review and syntheses of research findings. Journal of Psychology in Chinese Societies, 7(1), 141-161.
  11. Chiou, G. L., Liang, J. C.  & Tsai, C. C. (2012). Undergraduate students’ conceptions of and approaches to learning in biology: A study of their structural models and gender differences. International Journal of Science Education, 34, 167–195.
  12. Çimer, A. (2012). What makes biology learning difficult and effective: Students’ views. Educational Research and Reviews, 7(3), 61-71.
  13. Cokluk, Ö., Sekercioğlu, G., & Büyüköztürk, S. (2010). Sosyal bilimler için çok değişkenli istatistik. Tek ve çok değişkenli dağılımlar için sayıltıların analizi, lojistik regresyon analizi, discriminant regresyon analizi, küme analizi, açımlayıcı faktör analizi, doğrulayıcı faktör analizi, yol analizi. [Multivariate statistics for the social sciences. Univariate and multivariate analysis of assumptions for distributions, logistic regression analysis, discriminant regression analysis, cluster analysis, exploratory factor analysis, confirmatory factor analysis, path analysis]. Ankara, Pegem.
  14. Dart, B. C., Burneet, P. C., Purdie, N., Boulton-Lewis, G., Campbell, J., & Smith, D. (2000). Students’ conceptions of learning, the classroom environment and approaches to learning. Journal of Educational Research, 93, 262–270.
  15. Demir, R., Öztürk, N., & Dökme, İ. (2012). Investigation of 7th grade primary school students’ motivation towards science and technology course in terms of some variables. Mehmet Akif Ersoy University Journal of Education Faculty, 23, 1-21.
  16. Doyle, W. (1986). Classroom organization and management. In M. Wittrock (Eds.), Handbook of research on teaching (3rd Ed.). New York: Macmillan.
  17. Field, A. (2000). Discovering statistics using SPSS for windows: Advanced techniques for the beginner. London: Sage.
  18. Gagne, R. M., & Driscoll, M. P. (1988). Essentials of learning for instruction. Upper Saddle River, NJ: Pearson Education.
  19. Hasni, A., Roy, P., & Dumains, N. (2016). The teaching and learning of diffusion and osmosis: What can we learn from analysis of classroom practices? A case study. Eurasia Journal of Mathematics, Science and Technology Education, 12(6), 1507-1531.
  20. Henning, M. A., & Shulruf, B. (2011). Academic achievement: Changes in motivational beliefs and self-regulated learning strategies over time. Psychologia, 54(3), 135-144.
  21. Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefs about knowledge and knowing and their relation to learning. Review of Educational Research, 67(1), 88-140.
  22. Israel, E. (2007). Özdüzenleme eğitimi, fen başarısı ve özyeterlik. [Self-regulation instruction, science achievement and self-efficacy]. Unpublished Doctoral Dissertation, Dokuz Eylül University.
  23. Köseoğlu, P., & Köksal, M. S. (2015).  Epistemological Predictors of Prospective Biology Teachers’ Nature of Science Understandings. Eurasia Journal of Mathematics, Science and Technology Education, 11(4), 751-763. doi:10.12973/eurasia.2015.1383a
  24. Lai, P.-Y., & Chan, K.-W. (2005). A structural model of conceptions of learning, achievement motivation and learning strategies of Hong Kong teacher education students. Australian Association for Research in Education (AARE) Conference.
  25. Lee, M. H., Johanson, R. E., & Tsai, C. C. (2008). Exploring Taiwanese high school students’ conceptions of and approaches to learning science through a structural equation modeling analysis. Science Education, 92, 191–220.
  26. Li, W. T., Liang, J. C., & Tsai, C. C.  (2013). Relational analysis of college chemistry- major students’ conceptions of and approaches to learning chemistry. Chemistry Education Research and Practice, 14, 555–565. doi:10.1039/c3rp00034f
  27. Liang, J. C., & Tsai, C. C.  (2010). Relational analysis of college science-major students’ epistemological beliefs toward science and conceptions of learning science. International Journal of Science Education, 32, 2273–2289.
  28. Lin, C.-C., & Tsai, C.-C. (2009). The relationship between students’ conceptions of learning engineering and their preferences for classroom and laboratory learning environments. Journal of Engineering Education, 98, 193-204.
  29. Lin, C.-C., & Tsai, C.-C. (2008). Exploring the structural relationships between high school students’ scientific epistemological views and their utilization of information commitments toward online science information. International Journal of Science Education, 30, 2001-2022.
  30. Lin, T. C., Liang, J. C., & Tsai, C. C. (2015).  Conceptions of memorizing and understanding in learning, and self-efficacy held by university biology majors. International Journal of Science Education, 37(3), 446-468. doi:10.1080/09500693.2014.992057
  31. Marshall, D., Summer, M., & Woolnough, B. (1999). Students’ conceptions of learning in an engineering context. Higher Education, 38, 291–309.
  32. Marton, F., & Säljö, R. (1984). The experience of learning, in Marton, F., Hounsell, D. &Entwistle, N. (eds.), Approaches to Learning, Edinburgh: Scottish Academic Press, 36-55.
  33. Marton, F., Dall’Alba, G., & Beaty, E. (1993). Conceptions of learning. International Journal of Educational Research, 19, 277–299.
  34. Marton, F., Watkins, D., & Tang, C. (1997). Discontinuities and continuities in the experience of learning: An interview study of high-school students in Hong Kong. Learning and Instruction, 7, 21-48.
  35. Ning, H. K., & Downing, K. (2010). The reciprocal relationship between motivation and self-regulation: A longitudinal study on academic performance. Learning and Individual Differences, 20, 682-686.
  36. Ogundiwin, O. A., Asaaju, O. A., Adegoke, A. I., & Ojo, A. T. (2015). Effect of group investigative laboratory strategies on students' achievement in biology. Pyrex Journal of Research in Environmental Studies, 2(4), 35-41.
  37. Ozcelik, H., & Yay, N. A. (2014). University candidates overview the departments of biology (example of Isparta). SDU Journal of Science (E-Journal), 9(1), 56-94.
  38. Ozdamar, K. (1999). Paket programlar ile istatistiksel very analizi. [Statistical data analysis with the package program]. Eskisehir, Kaan.
  39. Paul, R. W. (1992). Critical thinking: What, why, and how? New Directions for Community Colleges, 77, 3–24.
  40. Pillay, H., Purdie, N. & Boulton-Lewis, G. (2000). Investigating cross-cultural variations in conceptions of learning and the use of self-regulated strategies. Education Journal, 28(1), 65–84.
  41. Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31, 459-470.
  42. Purdie, N. (1994). What do students think learning is and how do they do it? A cross-cultural comparison. Paper presented at the annual conference of the Australian Association for Research in Education (AARE). Educational research: Innovation and practice, Newcastle, Australia.
  43. Purdie, N., Hattie, J., & Douglas, G. (1996). Student conceptions of learning and their use of self-regulated learning strategies: A cross-cultural comparison. Journal of Educational Psychology, 88, 87–100.
  44. Reid, A., Wood, L., Smith, G., & Petocz, P. (2005). Intention, approach and outcome: University mathematics students’ conceptions of learning mathematics. International Journal of Science and Mathematics Education, 3(4), 567-586.
  45. Reyes, M. R., Brackett, M. A., Rivers, S. E., White, M., & Salovey, P. (2012). Classroom emotional climate, student engagement and academic achievement. Journal of Educational Psychology, 104(3), 700-712. doi:10.1037/a0027268
  46. Sadi, Ö. (2015). The Analysis of High School Students’ Conceptions of Learning in Different Domains. International Journal of Environmental & Science Education, 10(6), 813-827.
  47. Sadi, O. & Çakıroğlu, J. (2014). Relations of Cognitive and Motivational Variables with Students’ Human Circulatory System Achievement in Traditional and Learning Cycle Classrooms Educational Sciences: Theory & Practice (ESTP), 14(5), 1997-2012.
  48. Sadi, O. & Uyar, M. (2014). The Turkish adaptation of the conceptions of learning science questionnaire: The study of validity and reliability. Journal of Educational and Instructional Studies in the World, 2(10), 73-85.
  49. Sadi, O. & Lee, M.-H. (2015). The conceptions of learning science for science-mathematics groups and literature-mathematics groups in Turkey. Research in Science & Technological Education. doi:10.1080/02635143.2014.996543
  50. Sadi, Ö., & Dağyar, M. (2015). High school students’ epistemological beliefs, conceptions of learning and self-efficacy for learning biology: A Study of Their Structural Models. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), 1061-1079. doi:10.12973/eurasia.2015.1375a
  51. Saljo, R. (1979). Learning in the learner’s perspective I: Some commonsense conceptions. Gothenburg, Sweden: Institute of Education, University of Gothenburg.
  52. Schommer, M. (1998). The influence of age and education on epistemological beliefs. British Journal of Educational Psychology, 68, 551–562.
  53. Sungur, S., & Güngören, S. (2009). The role of classroom environment perceptions in self-regulated learning and science achievement.  Elementary Education Online, 8(3), 883-900.
  54. Tavsancıl, E. (2005). Tutumların ölçülmesi ve SPSS ile very analizi [Measurement of attitudes and data analysis with SPSS]. Ankara. Nobel.
  55. Topcu, M. S., & Yılmaz-Tuzun, O. (2009). Elementary students' metacognition and epistemological beliefs considering science achievement, gender and socioeconomic status. Elementary Education Online, 8(3), 676-693.
  56. Tsai, C. C. (2004). Conceptions of learning science among high school students in Taiwan: A phenomenographic analysis. International Journal of Science Education, 26(14): 1733–1750. doi:10.1080/0950069042000230776
  57. Tsai, C. C., & Kuo, Pi-Chu. (2008). Cram school students’ conceptions of learning and learning science in Taiwan. International Journal of Science Education, 30(3), 353-375.
  58. Tümkaya, S. (2012). The investigation of the epistemological beliefs of university students according to gender, grade, fields of study, academic success and their learning styles. Educational Sciences: Theory & Practice, 12(1), 88-95.
  59. Uredi, I., & Uredi, L. (2005). The predictive power of self-regulation strategies and motivational beliefs on mathematics achievement of primary school 8th grade students. Mersin University Journal of the Faculty of Education, 1(2), 250-260.
  60. Vermunt, J. D., & Vermetten., Y. J.  (2004). Patterns in student learning: Relationships between learning strategies, conceptions of learning, and learning orientations. Educational Psychology Review, 16(4), 359–384.
  61. Wang, J. S., Pascarella, E. T., Nelson Laird, T. F., & Ribera, A. K. (2015). How clear and organized classroom instruction and deep approaches to learning affect growth in critical thinking and need for cognition. Studies in Higher Education, 40(10), 1786-1807. doi:10.1080/03075079.2014.914911
  62. Warr, P., & Downing, J. (2000). Learning strategies, learning anxiety, and knowledge acquisition. British Journal of Psychology, 91, 311-333.
  63. Weinstein, C. E., & Mayer, R. E. (1986). The Teaching of learning strategies. In M. Wittrock, ed. Handbook of Research on Teaching. New York, Macmillan.
  64. Whitebread, D., Coltman, P., Pasternak, D. P., Sangster, C., Grau, V., Bingham, S., Almeqdad, Q., & Demetriou, D. (2009). The development of two observational tools for assessing metacognition and self-regulated learning in young children. Metacognition and Learning, 4(1), 63-85. doi:10.1007/s11409-008-9033-1
  65. Wolters, C. A. (1998). Self-regulated learning and college students' regulation of motivation. Journal of Educational Psychology, 90(2), 224-235
  66. Yesilyurt, S., & Gül, S. (2008). The expectations of biology teachers and students for a more efficient biology instruction in the secondary schools. Kastamonu Education Journal, 16(1), 145-162.
  67. Zeegers, P. (2001). Approaches to learning science: A longitudinal study. British Journal of Educational Psychology, 71, 115-132.