The relationship between motivation and learning strategies on the 2012 PISA math in the East Asian countries: Latent class analysis approach
Author(s):
Yi-Jhen Wu (presenting / submitting)
Conference:
ECER 2017
Format:
Paper (Copy for Joint Session)

Session Information

Joint Paper Session NW 24 and NW 31

Time:
2017-08-24
17:15-18:45
Room:
K6.04
Chair:
Javier Diez-Palomar

Contribution

Purpose

            The main purpose of this study was to investigate the links between intrinsic motivation, extrinsic motivation, and the three learning strategies (memorization, elaboration and control strategies).

Academic significance of research

            Few studies in the past examined intrinsic and extrinsic motivation (Artelt, 2005; Schiefele, Wild, & Krapp,1995; Yildirim, 2012) simultaneously. Consequently, the sole use of intrinsic motivation might underestimate the actual effect of intrinsic motivation in the use of learning strategies (Schaffner, Schiefele, & Ulferts, 2013; Schiefele, Schaffner, Moeller, & Wigfield, 2012). In addition, most prior research has used the learning strategies variable as a centered approach, such as correlation, regression, or hierarchical linear modeling (HLM ), to investigate the relationship between motivation and the use of learning strategies. Based on these approaches, it assumed that within a population, students are homogenous, it is however fully possible, that within a population, the students are heterogeneous. Furthermore, in the centered approach there is an assumption of normality which cannot always be met in the real world. To overcome the limitations of the centered approach, the latent class analysis LCA is promising because it can detect the heterogeneity of a population and it does not require that the normality assumption be met. Due to the advantages of LCA, in this study we applied LCA in each East Asian country to investigate the heterogeneity of the use of learning strategies in each East Asian country. After obtaining the latent class, we investigated the relationship between motivation and learning strategies by applying the New LCA 3-setp approach (Vermunt , 2010).

Theoretical framework

In education, researchers have agreed that self-regulated learning (SRL) involves cognition, motivation, and metacognition. (Boekaerts, 1995; Pintrich, 1999; Zimmerman, 2001).  The process of self-regulated learning is how students monitor, regulate, and control their behavior and motivation in order to achieve their performance (Pintrich, 1999; Zimmerman, 2001).  To achieve the level of performance, students must not have only the “skill”, but also the “will” (Pintrich & De Groot, 1990). When students are highly motivated, they are willing to exert the effort and time to constantly adjust their learning behavior.

In SRL, there are two essential elements in the use of learning strategies and motivation (Pintrich, 2000; Pintrich & De Groot, 1990). The use of learning strategies is the manner in which students act to gain information; motivation is that students are willing to  do something, either intrinsically or extrinsically (Ryan and Deci, 2000). 

Method

Sample. The present study examined 7 education systems in the East Asian countries, Shanghai, Singapore, Honk Kong, Taiwan, Korea, Macau, and Japan in the 2012 PISA. Learning Strategies. In PISA, three learning strategies—memorization, elaboration and control—are used to measure students’ learning behavior. In the 2012 PISA, the learning strategies’ items were changed to the forced- choice format from the 4-point Liker scale to avoid method bias in the 2012 PISA (OECD, 2013). Motivation. PISA measured intrinsic motivation and extrinsic motivation with a 4-point Likert scale. Intrinsic motivation was measured by four items, as was extrinsic motivation. The four items for intrinsic motivation and the four items of extrinsic motivation were each summed up for each student as continuous variables.

Expected Outcomes

The finding suggested motivation had no significant impact on student mathematic performance when students used the memorization strategies. In countries that had the memorization latent class, Shanghai, Singapore, Taiwan and Macau, intrinsic and extrinsic motivation did not have a significant impact on mathematics performance save for Singapore; in contrast, in Singapore, intrinsic motivation had a significantly positive impact on mathematics performance when controlling for extrinsic motivation. While extrinsic motivation had a significantly negative impact on mathematics performance when controlling for intrinsic motivation. The results showed that intrinsic motivation had an impact on student’ mathematic performance when they reported the elaboration strategies. In Shanghai, Singapore, and Taiwan, which had the elaboration strategies class, intrinsic motivation had a significantly positive impact on mathematics performance after controlling for the extrinsic motivation. With respect to extrinsic motivation, only Taiwan students had a significantly positive impact on mathematics performance after controlling for intrinsic motivation. Motivation had significant impact on student’ mathematic performance when students used the control strategies. In most countries, expect for Shanghai and Singapore, when students reported the control strategies intrinsic motivation had a significantly positive impact on mathematics performance after controlling for extrinsic motivation. In Taiwan, Korea and Japan, extrinsic motivation had a significantly positive impact on mathematic performance after controlling for intrinsic motivation, but Singapore students’ extrinsic motivation was significantly negatively related to mathematic performance after controlling for intrinsic motivation. The results suggested that intrinsic motivation played an important role in the control strategies The combination of learning strategies appeared in Macau, Hong Kong, Korea and Japan. Except for Korea, students’ intrinsic motivation had a significantly positive impact on mathematics performance after controlling for extrinsic motivation. While extrinsic motivation had a non-significant impact on mathematic performance, but Korean students had a significantly positive impact on mathematic performance.

References

Artelt, C. (2005). Cross-cultural approaches to measuring motivation. Educational Assessment, 10(3), 231-255. Boekaerts, M. (1995). Self-regulated learning: Bridging the gap between metacognitive and metamotivation theories. Educational Psychologist, 30(4), 195-200. OECD (2013), PISA 2012 Assessment and Analytical Framework, OECD Publishing. Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International journal of educational research, 31(6), 459-470. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary educational psychology, 25(1), 54-67. Schaffner, E., Schiefele, U., & Ulferts, H. (2013). Reading amount as a mediator of the effects of intrinsic and extrinsic reading motivation on reading comprehension. Reading Research Quarterly, 48(4), 369-385. Schiefele, U., Schaffner, E., Möller, J., & Wigfield, A. (2012). Dimensions of reading motivation and their relation to reading behavior and competence. Reading Research Quarterly, 47(4), 427-463. Schiefele, U., Wild, K. P., & Krapp, A. (1995). Course-specific interest and extrinsic motivation as predictors of specific learning strategies and course grades. In 6th EARLI Conference in Nijmegen. Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political analysis, 18(4), 450-469. Yıldırım, S. (2012). Teacher support, motivation, learning strategy use, and achievement: A multilevel mediation model. The Journal of Experimental Education, 80(2), 150-172. of classroom academic performance. Journal of educational psychology, 82(1), 33. Zimmerman, B.J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B.J. Zimmerman & D.H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (pp. 1-39). Lawrence Erlbaum Ass. Publishers.

Author Information

Yi-Jhen Wu (presenting / submitting)
Bamberg Graduate School of Social Sciences (BAGSS)

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