Higher-order Correlates of Gifted Students’ Motivation towards Science Learning in Turkey

Authors

  • M. S. Köksal Department of Science Education Faculty of Education, University of Inonu, 44280, Campus, Malatya, Turkey

Keywords:

logical thinking, critical thinking, motivation towards science learning, IQ

Abstract

The purpose of this study is to investigate possible higher-order correlates
(IQ, logical thinking and critical thinking) of gifted students’ motivation
towards science learning. The study was designed as a correlational
study and it focused on 65 gifted students at the level of sixth, seventh
and eighth grades. The data was collected by applying Motivation
towards Science Learning Questionnaire, Wechsler Intelligence Scale
(WISC-R), Group Assessment of Logical Thinking Test, Critical Thinking
Test. The data was analyzed by applying Spearman correlation analysis.
The findings represented that motivation towards science learning of
gifted elementary level students were not significantly correlated by
logical thinking, IQ performance , IQ verbal, IQ total and critical thinking
scores. The findings refer to gap between motivation and cognitive
learning in gifted students.

References

Aksu M., Berberoðlu G. and Paykoç F. (1991). Mantýksaldüþünmenin belli

deðiþkenleregöreincelenmesi, Eðitimde Arayýþlar I. Sempozyumbildirimetinleri (ss. 291 - 294). Ýstanbul: Kültür Yayýnlarý.

Brown, A. L. and French, L. A. (1979). The zone of potential development: implications of intelligence testing in the year 2000. Intelligence, 3, 255-273.

Case R., Demetriou A., Platsidou M. and Kazi S. (2001) Integrating concepts and tests of intelligence from the differential and developmental traditions. Intelligence, 29, 307–336.

Castejón J. L., Gilar R. and Pérez A. M. (2006). Complex learning: The role of knowledge, intelligence, motivación and learning strategies. Psicothema, 18 (4), 679-585.

Cho, S. and Lin, C. Y. (2011). Influence of family processes, motivation, and beliefs about intelligence on creative problem solving of scientifically talented individuals. Roeper Review. 33(1), 46-58.

Corrallo, S. (1994). A preliminary study of the feasibility and utility for national policy of instructional good practice indicators in undergraduate education (contractor

report). pp. 94 – 437, National Center for Higher Education Management Systems, U. S. Department of Education, National Center for Education Statistics

Davis, G. A. and Rimm, S. B. (1989). Education of the gifted and talented (2nd ed). Englewood Cliffs, NJ: Prentice Hall. USA.

Eder A. B., Elliot A. J. and Harmon-Jones E. (2013). Approach and avoidance motivation: Issues and advances. Emotion Review, 5 (3), 227–229.

Elder, G. H. Jr. (1968). Achievement motivation and Intelligence in occupational mobility: a longitudinal analysis. Sociometry, 327-354.

Facione, P. A. (1986). Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction. Millbrae, CA: The California Academic Press.

Fisher, K. M. (2000). Meaningful and mindful learning. In K. M. Fisher, J. H. Wandersee and D. E. Moody (Eds.), Mapping biology knowledge (pp. 77–94). Dordrecht: Kluwer.

Fraenkel, J. R. and Wallen, N. E. (2006). How to design and evaluate research in education (6th ed). New York: McGraw-Hill.USA.

Gagné, F. and Père, F. (2002). When IQ is controlled, does motivation still predict achievement? Intelligence, 30, 71 - 100.

Garcia, T. and Pintrich, P. R. (1992). Critical thinking and its relationship to motivation,

learning strategies, and classroom experience. Paper presented at the Annual Meeting of the American Psychological Association, August, Seattle, WA.

Garcia, T. and Pintrich, P. R. (1994). Regulating motivation and cognition in the classroom: the role of self-schemas and self-regulatory strategies. In D. H. Schunk and B. J. Zimmerman (Eds.), Self-Regulation on Learning and Performance: Issues and Applications (pp. 132 - 157), NJ, Hillsdale, Lawrence Erlbaum Associates.

Gottfried, A. E. and Gottfried, A. W. (2004). Toward the development of a conceptualization of gifted motivation. Gifted Child Quarterly, 48, 121 - 132.

Halpern, D. F. (1998). Teaching critical thinking for transfer across domains. Dispositions, skills, structure training and metacognitive monitoring. American Psychologist, 53, 449 – 455.

Hiatt, E. L. and Covington, J. (1991). Identifying and serving diverse populations, Update on Gifted Education, 1 (3), 37.

Kim C., Park S.W. and Cozart J. (2012). Affective and motivational factors of learning in

online mathematics courses. British Journal of Educational Technology. doi:10.1111/

j.1467-8535.2012.01382.x

Köksal, M. S. (2012). Adaptation study of motivation toward science learning questionnaire for academically advanced science students, Chemistry: Bulgarian Journal of Science Education, 21(1), 29 – 44.

Köksal, M. S. (2013) Comparison of gifted and advanced students on motivation toward science learning and attitude toward science. Journal of the American Academy of Special Education Professionals, 1, 146 - 158.

Loukomies A., Pnevmatikos D., Lavonen J., Spyrtou A., Byman R., Kariotoglou P. and Juuti

K. (2013). Promoting students’ interest and motivation towards science learning: The

role of personal needs and motivation orientations. Research in Science Education.

doi: 10.1007/s11165-013-9370-1

Moreno, R. and Mayer, R. E. (2007). Interactive multimodal learning environments. Educational Psychology Review, 19, 309 - 326.

Neber, H. and Schommer-Aikins, M. (2002). Self-regulated science learning with highly gifted students: The role of cognitive, motivational, epistemological, and environmental variables. High Ability Studies, 13(1), 59-74.

Ng K. T., Soon S. T. and Fong S. F. (2010). Development of a Questionnaire to Evaluate

Students’ Perceived Motivation towards Science Learning Incorporating ICT Tool.

Malaysian Journal of Educational Technology, 10(1), 39-55.

Osborne J., Simon S. and Collins S. (2003). Attitudes towards science: a review of the

literature and its implications. International Journal of Science Education, 25 (9), 1049

– 1079.

Öner, N. (1997). Türkiye’de Kullanýlan Psikolojik Testler. BirBaþvuruKaynaðý 3. Basým. Ýstanbul: Boðaziçi Üniversitesi Yayýnlarý. Türkiye.

Pintrich, P. R. and Schunk, D. H. (2002). Motivation in education: Theory, research, and Applications (2nd Ed). Columbus, OH: Merrill-Prentice Hall, USA.

Resnick, L. B. (1987). Education and Learning to Think. Washington, DC: National Academy Press. USA.

Roadrangka V., Yeany R. H. and Padilla M. J. (1982). Group test of logical thinking. University of Georgia, Athens, GA, USA.

Rodriguez-Keyes, E., Schneider, D. A. and Keenan, E. (2013). Being known in undergraduate social work education: The role of instructors in fostering student engagement and motivation, Social Work Education: The International Journal. doi: 10.1080/02615479.2013.765841

Rumelhart, D. and Norman, D. (1978). Accretion, tuning and restructuring: Three modes of learning. In J. W. Cotton and R. Klatzky (Eds.), Semantic Factors in Cognition. Hillsdale, N J: Erlbaum.

Savaþýr I. and Sahin N. (1995). Wechsler Çocuklar Ýçin Zeka Ölçeði (WISC-R) El Kitabý.

Ankara. TürkPsikologlarDerneðiYayýnlarý, 13-52.

Schwinger, M. and Stiensmeier-Petster, J. (2012). Effects of motivational regulation on

effort and achievement: A mediation model. International Journal of Educational

Research, 56, 35–47.

Schwinger M., Steinmayr R. and Spinath B. (2009). How do motivational regulation strategies affect achievement: Mediated by effort management and moderated by intelligence, Learning and Individual Differences, 19, 621–627.

Sendag, S. and Odabasi, H. F. (2009). Effects of an online problem based learning course on content knowledge acquisition and critical thinking skills.Computers & Education, 53, 132-141.

Sharma, S. (1996). Applied multivariate techniques. New York: John Wiley.

Soerjaningsih, W. (2001). Student Outcomes, Learning Environment, Logical Thinking

and Motivation among Computing Students in an Indonesian University. Doctoral

Dissertation, Curtin University of Technology, USA

Tavºancil, E. (2002). Tutumlarin Olculmesive SPSS ileVeriAnalizi [Measurement of attitudes and data analysis with SPSS]. Ankara: Nobel Yayinlari.

Tuan H., Chin C. and Sheh S. (2005). The development of a questionnaire to measure students’ motivation towards science learning. International Journal of Science Education, 27, 634-659.

Vallerand R. J., Gagné F., Senécal C. and Pelletier, L. G. (1994). A comparison of the school intrinsic motivation and perceived competence of gifted and regular students. Gifted Child Quarterly, 38 (4), 172-175.

Yýlmaz, H. and Çavaº, P. H. (2007). Reliability and validity study of the students’ motivation toward science learning (SMTSL) questionnaire. Elementary Education Online, 6, 430–440.

Wechsler, D. (1974). Wechsler intelligence scale for children-Revised edition. San Antonio, TX: The Psychological Corporation, USA.

Williams, R. L. (1999). Operational definitions and assessment of higher-order cognitive constructs. Educational Psychology Review, 11, 411–427.

VanTassel-Baska J., Bass G., Reis R., Polan D. and Avery L. D. (1998). A national study of science curriculum effectiveness with high ability students. Gifted Child Quarterly, 42, 200-211.

Downloads

Published

2014-12-01

How to Cite

Köksal, M. S. (2014). Higher-order Correlates of Gifted Students’ Motivation towards Science Learning in Turkey. Journal of Research in Education and Society (JRES) , 5(3), 1–9. Retrieved from http://icidr.org.ng/index.php/Jres/article/view/1401

Issue

Section

Articles