The main purpose of this study is to examine the relationship between Emotional Intelligence, Motivation and Logical Thinking of secondary school students in their academic achievement. The emotional intelligence, motivation, and logical thinking of a student play an important role in the mastery of each subject that is learned by it. In the learning process it includes important components such as cognitive and behaviour which also involves the emotion, motivation and thinking of a student. The researchers use stratified random sampling for sampling procedures. In addition, the sample used by the researcher was composed in secondary school students in Johor where the number of clusters was determined according to districts that could be made at random. The researcher selected Form 4 students throughout Johor. This refers to the Cognitive Development Theory proposed by Jean Piaget which is Form 4 student at the aged of 16 years. Demographic information is collected from participants about gender, age, race, and religion and speech language using demographic data forms. Participants will complete four parts of the questionnaire: Emotional Intelligence Self-Assessment (Schutte, 1998), Students Work Preference Inventory (SWPI) built by Amabile, TM (1987), The Group Assessment of Logical Thinking (GALT) Roadrangka, Yeany and Padilla (1983) and academic achievement of students based on PT3 results. The findings show that the correlation coefficient between emotional intelligence and academic achievement is r = - 1.62 at the significance level p ? 0.01. This shows that there is a correlation between emotional intelligence and academic achievement of Form 4 students throughout Johor. In addition, it also shows that there is a significant relationship between emotional intelligence and student academic achievement. However, the findings of this study were also supported by the study conducted by Azizi and others (2005) which found that there was no significant correlation between the levels of extrinsic motivation of the students with the level of academic achievement of the students. The results of one-way ANOVA analysis show significant differences in overall mean of logical thinking according to academic achievement at secondary level (F (2.496) = 64.614, p <0.0005.). This finding succeeded in rejecting the second zero hypothesis stating that there was no significant difference in the mean of logical thinking ability according to the academic achievement of students at the secondary level. The findings of this study are also supported by a study conducted by Corpus (2005) which shows the correlation between extrinsic motivation and negative relationship with student academic achievement. The information obtained from this study can be used by the Ministry of Education, school administrators, Guidance Teachers and Counselling and parents in realizing the desire to produce quality human capital among teenagers in Malaysia. This information can also help researchers study their emotional intelligence, motivation and logical thinking.
Akdeniz, A.R., (1993). The implementation of a new secondary physics curriculum in Turkey: An exploration of teaching activities. Unpublished Doctoral Dissertation, University of Southampton, UK.
Bitner, B.L. (1991). Formal operational reasoning modes: Predictors of critical thinking abilities and grades assigned by teachers in science and mathematics for students in grades nine through twelve. Journal of Research in Science Teaching, 28(3), 265-274.
Boulanger, F.D., & Kremer, B.K. (1981). Age and developmental level as antecedents of science learning. Journal of Research in Science Teaching, 18(4), 371-384.
Çepni, S. & Özsevgeç, T. (2002). Science teachers’ assessment tools and their relation with students’ cognitive development. Paper presented at the “Education: Changing Times, Changing Needs, First International Conference on Education”, at the Faculty of Education Eastern Mediterranean University, Gazimagusa, Turkish Republic of Northern Cyprus from May 8-10, 2002.
Cohen, H.G. (1980). Dilemma of the objective paper-and-pencil assessment within the Piagetian framework. Science Education, 64(5), 741-745.
DeLuca, F.P. (1981). Application of cluster analysis to the study of Piagetian stages of intellectual development. Journal of Research in Science Teaching, 18(1), 51-59.
Hernandez, L.De., Marek, E.A., & Renner, J.W. (1984). Relationships among gender, age, and intellectual development. Journal of Research in Science Teaching, 1(4), 365-375.
Hofstein, A., & Mandler, V. (1985). The use of Lawson’s Test of Formal Reasoning in the Israeli science education context. Journal of Research in Science Teaching, 22(2), 141-152.
Howe, A. C., & Shayer, M. (1981). Sex related differences on a task of volume and density. Journal of Research in Science Teaching, 18(2), 169-175.
Howe, A.C., & Durr, B.P. (1982). Analysis of an instructional unit for level of cognitive demand. Journal of Research in Science Teaching, 19(3), 217- 224.
Inhelder, B., & Piaget, J. (1958). The growth of logical thinking: From childhood to adolescence. New York: Basic Books, Inc.
Keig, P.F., & Rubba, P.A. (1993). Translation of representation of the structure of matter and its relationship to reasoning, gender, spatial reasoning, and specific prior knowledge. Journal of Research in Science Teaching, 30(8), 883-903.
Koray, Ö., & KÖKSAL Mustafa Serdar. (2009). The effect of creative and critical thinking based laboratory applications on creative and logical thinking abilities of prospective teachers. Asia Pacific Forum on Science Learning and Teaching, 10(1). Article 2. Retrieved from http:// www.ied.edu.hk/apfslt/v10_issue1/koksal/index.htm#con
Krajcie, J.S., & Haney, R.E. (1987). Proportional reasoning and achievement in high school chemistry. School Science and Mathematics, 87(1), 25-32.
Krejcie, R.V., & Morgan, D.W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Lawson, A.E. (1978). The development and validation of a Classroom Test of Formal Reasoning. Journal of Research in Science Teaching,15(1), 11-24.
Lawson, A.E. (1982a). The relative responsiveness of concrete operational seventh grade and college students to science instruction. Journal of Research in Science Teaching, 19(1), 63-77.
Lawson, A.E. (1982b). Formal reasoning, achievement, and intelligence: An issue of importance. Science Education, 66(1), 77-83.
Lawson, A.E. (1985). A review of research on formal reasoning and science teaching. Journal of Research in Science Teaching, 22(7), 569-617.
Lawson, A.E., Nordland, F.H., & DeVito, A. (1975). Relationship of formal reasoning to achievement, aptitudes, and attitudes in preservice teachers. Journal of Research in Science Teaching, 12(4), 423-431.
Lewis, S.E., & Lewis. J.E. (2007). Predicting at-risk students in general chemistry: comparing formal thought to a general achievement measure. Chemistry Education Research and Practice, 8(1), 32-51.
Linn, M.C. (1982). Theoretical and practical significance of formal reasoning. Journal of Research in Science Teaching, 19(9), 727-742.
Marek, E.A. (1981). Correlations among cognitive development, intelligence quotient, and achievement of high school biology students. Journal of Research in Science Teaching, 18(1), 9-14.
Meehan, A.M. (1984). A meta-analysis of sex differences in formal operational thought. Child Development, 55, 1110-1124.
Michael, Liau, T.L. (1982). Three Piagetian experiments: an investigation into the ability of Malaysian primary school children from a school with an urban character and from a school with a rural character to conserve length. Unpublished master’s thesis, Universiti Sains Malaysia, Penang.
Miles, J., & Shevlin, M. (2001). Applying regression and correlation. A guide for students and researchers. London: Sage Publications.
Mitchell, A., & Lawson, A.E. (1988). Predicting genetics achievement in nonmajor’s college biology. Journal of Research in Science Teaching, 25(1), 23-37.
Moshman, D. & Thompson, P.A. (1981). Hypothesis testing in students: sequences, stages, and instructional strategies. Journal of Research in Science Teaching, 18, 4, 341-352.
Özsevgeç, T. (2002). Determination of the Relationships Between Middle School Students’ Profiles and Their Cognitive Development Levels in the Selected Science Topics. Unpublished Master Thesis, Karadeniz Technical University, Turkey.
Piburn, M. (1980). Spatial reasoning as a correlate of formal thought and science achievement for New Zealand students. Journal of Research in Science Teaching, 17(5), 443-448.
Piburn, M.D., & Baker, D.R. (1989). Sex differences in formal reasoning ability: Task and interviewer effects. Science Education, 73(1), 101-113.
Pusat Perkembangan Kurikulum, Kementerian Pendidikan Malaysia (2001). Huraian Sukatan Pelajaran Sains KBSM Tingkatan Empat. Kuala Lumpur: Kementerian Pendidikan Malaysia.
Renner, J.W., & Philips, D.G. (1980). Piaget’s developmental model: A basis for research in science education. School Science and Mathematics, 80, 193- 198.
Roadrangka, V., Yeany, R.H., & Padilla, M.J. (1983). The construction of a Group Assessment of Logical Thinking (GALT). Paper presented at the 56th annual meeting of the National Association for Research in Science Teaching. Dallas, Texas, April, 5-8.
Roadrangka, V. (1995). Formal operational reasoning ability, cognitive style and achievement in Biology, Physics, and Chemistry concepts of Form 4 students in Penang, Malaysia. SEAMEO Regional Centre for Education in Science and Mathematics, Penang.
Shemesh, M. (1990). Gender-related differences in reasoning skills and learning interests of junior high school students. Journal of Research in Science Teaching, 27(1), 27-34.
Schneider, L.S. & Renner, J.W. (1980). Concrete and formal teaching. Journal of Research in Science Teaching, 17, 6, 503-518.
Staver, J.R., & Halsted, D.A. (1985). The effects of reasoning, use of models, sex type and their interactions on post-test achievement in chemical bonding after constant instruction. Journal of Research in Science Teaching, 22(5), 437-447.
Syed Anwar Aly. (2000). Hypothetico-deductive reasoning and concept acquisition: Implications for strategies in the Malaysian smart schools. Kertas dibentangkan dalam Simposium Pendidikan Sains dan Teknologi, Pulau Pinang, 30 Mac – 2 April, 2000.
Syed Anwar Aly & Merza Abbas. (2000). Penyerapan kemahiran saintifik dalam proses pengajaran dan pembelajaran kimia di tahap menengah. Kertas dibentangkan dalam Seminar Pendidikan Sains dan Matematik, UiTM Shah Alam, 2 – Oktober, 2000.
Tai, R.H., Sadler, P.M., & Loehr, J.F. (2005). Factors influencing success in introductory college chemistry. Journal of Research in Science Teaching, 42, 987-1012.
Tobin, K.G., & Capie, W. (1981). The development and validation of a Group Test of Logical Thinking. Educational and Psychological Measurement, 41, 413-423.
Tsaparlis, G. (2005). Non-algorithmic quantitative problem-solving in university physical chemistry: a correlation study of the selective cognitive factors. Research in Science and Technological Education, 23, 125- 148.
Wilson, A.H., & Wilson, J.M. (1984). The development of formal thought during pretertiary science courses in Papua New Guinea. Journal of Research in Science Teaching, 21(5), 527-535.
Yaman, S. (2005). Effectiveness on development of logical thinking skills of problem based learning skills in science teaching. Journal of Turkish Science Education, 2(1), 31-33.
Yap, K.C. (1985). Validation of hierarchical relationships among Piagetian cognitive modes and integrated science process skills for high school students with different cognitive reasoning abilities. Unpublished doctoral dissertation, University of Georgia.
Yeany, R.H., Yap, K.C., & Padilla, M.J. (1986). Analyzing hierarchical relationships among modes of cognitive reasoning and integrated science process skills. Journal of Research in Science Teaching, 3(4), 277-291.
Noor, N. F. A. M., & Ahmad, A. H. and N. A. (2017). Relationship between Emotional, Intelligence, Motivation and Logical Reasoning towards Academic Achievement among Secondary School Students. International Journal of Academic Research in Business and Social Sciences, 7(14), 187-205.
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