UPSI Digital Repository (UDRep)
Start | FAQ | About

QR Code Link :

Type :article
Subject :QA Mathematics
Main Author :Nishikawa, Tomoko
Additional Authors :Izuta, Guido
Title :Assessing the attitudes of Japanese junior high school students towards course units of Mathematics
Place of Production :Tanjong Malim
Publisher :Fakulti Sains dan Matematik
Year of Publication :2019
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Full Text :Login required to access this item.

Abstract : Universiti Pendidikan Sultan Idris
This article is concerned with the assessment of feelings that Japanese junior high school students have towards the course unit learning of mathematics curricula. To accomplish this purpose, 616 junior high school students of a typical public school were surveyed regarding their feelings towards these course units and a two-step analysis was carried out. The first part consisted of the tabulation of Likert scale type survey with 5 levels of evaluation from 1 (‘not good at’) through 5 (‘good at’) aimed to evaluate their feelings towards learning mathematics in general as part of their educational activity. Next, we looked only into the students who responded ‘no problem’. As a matter of fact,these respondents accounted for 181 students in all with 44 of them in first year, 75 in second year, and 63 in third year. Now focusing strictly on these students, we performed a correspondence analysis of their feelings towards the course units. The results are discussed in terms of this correspondence analysis, which made it clear that despite the fact that the students do not feel resistance towards learning the subjects of mathematics, they have ‘good at’ and ‘not good at’ feelings towards particular unit learning independent of the gender. In the paper,we discussed these findings in detail.

References

[1] Marchis, I. (2011). Factors that influence secondary school students’ attitude to mathematics. Procedia-Social  and Behavioral Sciences, 29, 786-793.

[2]  Mohamed,  L.,  &  Waheed,  H.  (2011).  Secondary  students’  attitude  towards  mathematics  in  a  selected  school  of Maldives. International Journal of humanities and social science, 1(15), 277-281.

[3] Mata, M. D. L., Monteiro, V., & Peixoto, F. (2012). Attitudes towards Mathematics: Effects of Individual, Motivational, and  Social  Support  Factors. Child  development  research,  vol.  2012,  Article  ID  876028,  10  pages,  2012.  doi: 10.1155/2012/876028.

[4] Hannula,  M.  S.,  Maijala,  H.,  Pehkonen,  E., & Nurmi, A. (2005). Gender comparisons of pupils’ self-confidence in mathematics learning. Nordic Studies in Mathematics Education, 10(3-4), 29-42.

[5] Lubienski, S. T., Robinson, J. P., Crane, C. C., & Ganley, C. M. (2013). Girls’ and boys’mathematics achievement, affect, and experiences: Findings from ECLS-K. Journal for Research in Mathematics Education, 44(4), 634-645.

[6] Davadas, S. D., & Lay, Y. F. (2017). Factors Affecting Students’ Attitude toward Mathematics: A Structural Equation Modeling Approach. Eurasia Journal of Mathematics, Science and Technology Education, 14(1), 517-529.

[7] Lazarides, R., & Watt, H. M. (2015). Girls’ and boys’ perceived mathematics teacher beliefs, classroom learning environments and mathematical career intentions. Contemporary educational psychology, 41, 51-61.

[8] Ampadu,  E.  (2012).  Students’  Perceptions  of  their  Teachers’Teaching  of  Mathematics:  The  Case  of  Ghana.International Online Journal of Educational Sciences,4(2).

[9]Anyagh, P. I., Honmane, O., & Abah, J. (2018). Secondary School Students’ Perception of Teachers’ Attitude towards Learning in Mathematics in Wukari Metropolis, Taraba State, Nigeria. International Journal of Research and Review, 5(5), 69-75.

[10] Gherasim,  L.  R.,  Butnaru,  S.,  &  Mairean,  C.  (2013).  Classroom  environment,  achievement  goals  and  maths performance: Gender differences. Educational Studies, 39(1), 1-12.

[11] Koutrouba, K. (2016). Defining Teacher Effectiveness in Secondary Education: The Perceptions of Greek Students. International Journal of Learning, Teaching and Educational Research, 15(10).

[12] Samuelsson, M., & Samuelsson, J. (2016). Gender differences in boys’ and girls’ perception of teaching and learning mathematics. Open Review of Educational Research, 3(1), 18-34.

[13]Patrick, H., Ryan, A. M., & Kaplan, A. (2007). Early adolescents’perceptions of the classroom social environment, motivational beliefs, and engagement. Journal of educational psychology, 99(1), 83.

[14] Khandaghi,  M.  A.,  &  Farasat,  M. (2011). The effect of teacher’s teaching style on students’ adjustment. Procedia Social and Behavioral Sciences, 15, 1391-1394

[15] Izuta, G., & Nishikawa, T. (2017). Assessing the Sense of ‘Good at’ and ‘Not Good At’ towards Learning Topics of Mathematics    with    Conjoint    Analysis, AIP    Conference    Proceedings,    1847,    030014-1–030014-7,    doi: 10.1063/1.4983892.

[16] Nishikawa,  T.,  &  Izuta,  G.  (2017).  A  Characterization  of  Junior  High  Students  with  Anxieties  towards  Learning Mathematics. In Proceedings of 2017 International Conference on Education, Psychology, and Social Sciences, CD-ROM Format,Bangkok, Thailand, August 2-4, 404-413.

[17]Nishikawa, T., & Izuta, G. (2017). An Assessment of Learning Difficulty Level of Math Class Topics-A Case Study of a Japanese Public Junior High School. International Journal of Educational Science and Research, 17(1), 105-118.

[18] MEXT: Ministry of Education, Culture, Sports, Science and Technology. (2008). Junior High School Teaching Guide for the Japanese Course of Study: Mathematics No.2.Retrieved fromhttp://www.mext.go.jp/component/a_menu/education/micro_detail/__ics(accessed Sep 2018).

[19] R  Core  Team  (2018).  R:  A  language  and  environment  for  statistical  computing.  R  Foundation  for  Statistical Computing, Vienna, Austria. Retrieved from https://www.R-project.org/. (accessed Sep 2018).

[20]Sebastien,  L.,  Julie,  J.  &  Francois,  H.  (2008).  FactoMineR:  An  R  Package  for  Multivariate  Analysis. Journal  of Statistical Software, 25(1), 1-18. doi: 10.18637/jss.v025.i01.

[21] Kassambara, A., & Mundt, F. (2017). factoextra: Extract and Visualize the Results of Multivariate Data Analyses. R package version 1.0.5. Retrieved from https://CRAN.R-project.org/package=factoextra. (accessed Sep 2018).

[22] Bendixen,  M.  (1996).  A  practical  guide  to  the  use  of  correspondence  analysis  in  marketing  research. Marketing Research On-Line, 1(1), 16-36.

 


This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to previous page

Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries with this repository, kindly contact us at pustakasys@upsi.edu.my or Whatsapp +60163630263 (Office hours only)