High School Students’ Generalization Viewed from Logical-Mathematical Intelligence (original) (raw)

Logical Intelligence And Problem Solving Ability In Mathematics Among Secondary School Students

The logical mathematical intelligence is the most securely documented of the intelligence. This intelligence derives from the handling of objects, grows into the ability to think concretely about those objects, then develops into the ability to think concretely about those objects, and then develops into the ability to think formally of relations without objects. Problem solving is a process by which an individual uses previously acquired knowledge, understanding, and skill to satisfy the demands of an unfamiliar situation. This study focus on the logical intelligence and problem solving ability in mathematics among secondary school students. Normative survey method was used for the research. Sample includes secondary students. Stratified sampling technique was used. The statistical technique used was correlation and t test. The hypotheses state that. 1) There will be significant correlation between logical intelligence and problem solving ability of secondary school students; 2) There will not be significant difference between male and female students in their logical intelligence Emotional intelligence & 3) There will not be significant difference between male and female students in their problem solving ability.. 1. NEED AND SIGNIFICANCE OF THE STUDY Logical – mathematical intelligence is the ability to calculate, quantify, consider propositions and hypotheses, and carry out complete mathematical operations. Problem solving is a deliberate or purposeful act on the part of an individual to realize the set of goals by inventing some novel methods or systematically following some planned steps for the removal of interferences of the obstacles in the path. Problem solving is an important strategy in mathematics learning. Logical/mathematical intelligence involves

Contribution of prior knowledge, appreciation of mathematics and logical-mathematical intelligence to the ability of solving mathematical problems

International Journal of Physics & Mathematics, 2018

The objectives of this research were to figure out the contribution of prior knowledge, appreciation of mathematics and logical-mathematical intelligence toward the ability to solve mathematical problems as well as to explore the errors made by students in solving mathematical problems concerning polyhedron. The population of this research consisted of 3,583 students of grade IX of all state middle schools across over Denpasar City. The sampling technique we used was a stratified cluster random sampling technique with samples number of 553 students. The type of this research is ex-post facto research with path analysis technique. The data were collected by using questionnaires and carrying out a mathematical ability test. Furthermore, the kinds of students answers on the ability to solve mathematical problems were analyzed to study the errors made by the students. The results of the research show two regression relationships, namely X3 = 0.523X1 + 0.636X2 + 0.506ɛ3 and Y = 0.640X1 + 0.264X2 + 0.280X3 + 0.311ɛY. The first regression relationship indicates that (1) the contribution of mathematical appreciation towards prior knowledge is of 52.3 percent, and (2) the contribution of logical-mathematical intelligence towards prior knowledge is of 63.3 percent. Whereas the second regression relationship describes that (1) the direct contribution of mathematical appreciation towards the ability of solving mathematical problems is of 64 percent, and the indirect contribution is of 14.6 percent, (2) the direct contribution of logical-mathematical intelligence to the ability of solving mathematical problems was is of 26.4 percent, and the indirect contribution is of 17.8 percent, (3) the direct contribution of prior knowledge towards the ability solving mathematical problems is of 28 percent, (4) the mathematical appreciation and logical-mathematical intelligence contributed simultaneously towards prior knowledge is of 74.4 percent, (5) the mathematical appreciation, logical-mathematical intelligence, and prior knowledge contributed simultaneously towards the ability to solve mathematical problems is 90.3 percent. Furthermore, based on the analysis of students answers in mathematical ability test showed that the students still made errors in the concept of prior knowledge, in interpreting questions and weaknesses in arithmetic skills related to logical-mathematical intelligence.

Mathematical understanding and reasoning abilities related to cognitive stage of senior high school students

Journal of physics, 2019

The goal of this study is to analyse the relationships among students' mathematical understanding, reasoning abilities and their cognitive stage. The study is descriptive-analytic research involving 414 eleventh-grade students (17,43 years old) from seven senior high schools. The instruments of this study are tests on mathematical understanding and reasoning abilities, the Longeot Test and the Test of Logical Thinking (TOLT). The study revealed there were two kinds of attributes of the findings. First, based on the subject's age (17,43 years old) there were different findings on students' cognitive stages from the Piaget's theory, there were many students did not reach formal operational stage yet, namely 21 % students were still on the concrete stage, 34% of students were still in the transition stage, and only 45% were on a formal stage. Second, there were two kinds findings those were firm toward Piaget's theory, those were: a) the higher subject's school classes, the number of formal subjects; b) on students' mathematical understanding and reasoning abilities and mathematics formative and summative tests, formal students attained higher grades than transition students, and transition students attained higher grades than concrete students.

The Mathematical Connections Process of Junior High School Students with High and Low Logical Mathematical Intelligence in Solving Geometry Problems

— This study aimed to describe the mathematical connections process of students in solving geometry problems. The mathematical connections process was the students' steps in doing mathematical connections. The observed aspects were the internal connections (the interrelationships between mathematical concepts) and external connections (the mathematical interrelationships and outside of mathematics or daily life). The samples of this reasearch were the student with high and low mathematical logical intelligence. The results of the research showed that the students with high logical mathematical intelligence did the internal and external connections in solving geometry problems completely based on polya problem solving steps. Meanwhile, the students with low logical mathematical intelligence did the internal and external connections until the step of understanding the problems.

Analysis of High School Students Logical-Mathematical Thinking Ability Based on the Polya Stage Solving in Terms of Mathematical Self-Concept Ability

Prima: Jurnal Pendidikan Matematika, 2022

This research is based on the importance of logical-mathematical thinking skills in solving logical-mathematical problems. The research purpose is to describe high school students' logical thinking abilities on geometric transformation material in terms of mathematical self-concepts. The research used a qualitative approach, with the research subject as many as six students of 12th grades science class from one of Bandung Regency high schools selected by sampling technique. Students' logical thinking ability is known from the test scores in solving compiled problems. The score refers to logical-mathematical thinking ability indicators, and the problem-solving technique refers to the Polya stages. Data analysis techniques used are data reduction, data presentation, descriptive statistical calculations, and conclusions/verification. The results showed that the overall students’ logical-mathematical thinking ability in the geometry transformation material is in the medium categ...

The Cognitive Structure of Students in Understanding Mathematical Concepts

Proceedings of the International Conference on Educational Sciences and Teacher Profession (ICETeP 2018), 2019

The mathematics was a difficult subject for students to study in senior high school. The purpose of this study was to determine the role of cognitive structure of students in understanding mathematical concepts. The Samples were randomly selected as many as 140 students from the whole students of senior high school at the Kota Bengkulu. There are two the latent variable. It was the ability to understanding math concepts and cognitive structure. There are two and seven indicator variables, respectively. The research instrument was a test of the ability to understanding mathematical concepts and tests of cognitive structures. The data from the two tests were analyzed using Confirmatory Factor Analysis (CFA). The results, the suitability of the whole model was good (i.e. model fit). Conclusion, there is a positive direct effect of cognitive structures on the ability to understanding mathematical concepts.

Profile of Student's Mathematical Problem Solving Ability Based on Linguistic Intelligence and Mathematical Logical Intelligence

2021

The process of solving problems carried out by students in stages, namely understanding problems, planning solutions, carrying out solutions and checking again. Solving student problems varies according to the basic characteristics of students' interests, talents and potential. Learning will be more optimal if it is adjusted to the intelligence possessed by students. The goal is that teachers can facilitate learning according to the intelligence possessed by students, so the teacher must know the intelligence possessed by students. This research is a qualitative study using two subjects, namely the subject of linguistics and the subject of mathematical logic. The results showed that at the problem-understanding stage, SLM completed using formulas, completed according to plan and checked by recalculating. SL uses more trial-and-error reasoning, understanding information by reading sentences quickly as well as checking again.

Logical Thinking in Mathematics : A Study of Secondary School Students in Pakistan

2018

The main aim of this study was to assess performance of grade 9th students in logical thinking. A test of reasoning was administered to a sample of above 500 hundred. The results show differential performance of the students. Item wise performance with background variable as school sector shows that performance of private schools students was significantly better than students of public schools. Similarly male and urban students performed well than female and rural students respectively. Interaction analysis of gender, rural urban divide shows that some items show interaction effect by behaving differently in response to background variables.

Predictive Validity of Scores in Mathematics for Reasoning Ability in Mathematics for Grade 9 Students in Khyber Pakhtunkhwa Based on Curriculum of Mathematics

Procedia - Social and Behavioral Sciences, 2011

This study was aimed to find the predicative power of scores in mathematics paper in school based exam with the score in a test of mathematical thinking and different aspects of mathematical thinking according to their curriculum of mathematics. Additional gender wise comparison was also made. Data for this work was taken through school record and administration of test of mathematical thinking by the researcher. The specially developed test of mathematical thinking covered six aspects of thinking i.e. generalization, deduction, induction, problem solving, proofs and logical thinking. A survey method was adopted for this research with post positivist paradigm of research. A proportionate sample of 500 students was randomly selected. Statistical analysis was performed using regression and correlation techniques. The findings of this study shows that the score in the subject of mathematics during home exam was significantly correlated with the score on test of mathematical thinking overall and on separate scale as well for overall students and female students alone while this score was not consistent with the score in generalization and induction subscale for male students. Regression analysis shows that proofs and problem solving aspects of mathematical thinking were explaining the achievement of the students in the school based test more than their counter parts aspects of mathematical thinking. It was concluded that female students were showing inductive pattern while male students were deductive in their reasoning abilities.