scholarly journals The relationship between interpersonal intelligence and linguistic intelligence with mathematics learning achievement in high school students

2021 ◽  
Vol 2 (2) ◽  
pp. 71-75
Author(s):  
Fransiskus Hardi ◽  
Maximus Tamur ◽  
Fransiskus Nendi
Keyword(s):  
High School ◽  
Student Achievement ◽  
High School Students ◽  
Learning Styles ◽  
Mathematics Learning ◽  
School Students ◽  
Learning Achievement ◽  
Analysis Technique ◽  
Improve Student Achievement ◽  
The Relationship

In teaching, the teacher emphasizes identifying the dominant intelligence and learning styles to improve student achievement. However, exploring interpersonal and linguistic intelligence and its relationship to student achievement is still rarely done. This correlational research was conducted to describe the relationship between interpersonal and linguistic intelligence with high school students' mathematics learning achievement. The samples of this study were students of class XI SMA Budi Dharma Cancar Indonesia (n=30). The data were collected using a questionnaire and the pure grades of the students' midterm exams. The data analysis technique uses Product Moment Correlation as a statistical test tool to test the hypothesis of the relationship between two variables after fulfilling the prerequisite test. The results showed a positive relationship between interpersonal and linguistic intelligence and students' mathematics learning achievement. Although this study was limited to two bits of intelligence, it is essential to note that the findings of this study indicate that the number of intelligence at the dominant level can predict learning achievement in school.

scholarly journals Does Learning Motivation Affect Students’ Achievement in Economics? : Identifying The Internal Factor

2019 ◽  
Vol 14 (2) ◽  
pp. 168-177
Author(s):  
Heru Sriyono ◽  
Lucky Nindi Riandika Marfu'i
Keyword(s):  
High School ◽  
High School Students ◽  
Correlation Study ◽  
Learning Motivation ◽  
Counseling Services ◽  
Guidance And Counseling ◽  
School Students ◽  
Learning Achievement ◽  
Analysis Technique ◽  
The Relationship

This study aims to identify the relationship between learning motivation towards Economics learning achievement of high school students in Bogor Regency, West Java. This research used a quantitative approach. The subject of the study were class XI students of Bogor Regency State High School. The data analysis technique used was inferential statistics using the SPSS 23.0. This correlation study produces data: (1) there are positive and significant relationship between learning motivation and Economics learning achievement, (2) learning motivation of high school students throughout Bogor Regency influences Economics learning achievement, and (3) the increasing motivation of high school students in Bogor Regency will also increase the achievement of learning Economics as well. This study proves that dominantly learning motivation influences Economics learning achievement of high school students in Bogor Regency with a percentage of 70.8%. The results of this study can be followed up by providing guidance and counseling services with the aim of increasing the learning motivation of students who have low motivation to learn.

scholarly journals PAIKEM: Fun Learning as a Strategy to Improve Learning Achievement of High School Students in South Aceh

2021 ◽  
Vol 58 (2) ◽  
pp. 6437-6441
Author(s):  
Muhammad Jafar, RN Herman, Rahmad Nuthihar, M Chairul Basrun Umanailo
Keyword(s):  
High School ◽  
High School Students ◽  
Teaching And Learning ◽  
Large Population ◽  
Cluster Sampling ◽  
School Students ◽  
Learning Achievement ◽  
Analysis Technique ◽  
Role Of Teachers

This research is related to the role of teachers in the application of active, innovative, creative, effective, and fun learning (PAIKEM) to improve the learning achievement of high school students in South Aceh District. This research uses a quantitative approach with descriptive research type. The population of this study were students of class XI high school in South Aceh District for the academic year 2019/2020. There are 1376 students who are the population of this study. Given the large population, this study uses Cluster Sampling and Proposional Random Sampling to determine the research sample. The sample of this research is 176 students of class XI high school in South Aceh District. Data collection techniques were carried out through questionnaires and documentation. The data analysis technique uses a percentage in order to know the answer to each item and the product moment correlation formula to determine the level of the relationship between learning achievement and learning methods. The results showed that the role of teachers in implementing PAIKEM in South Aceh District was running well with a percentage of 38%. There is a positive and significant relationship between the role of teachers in the application of PAIKEM and student achievement (r = 0.203) so that the application of PAIKEM contributes 20%. It is hoped that teachers will always take the initiative in developing their expertise in implementing learning in accordance with PAIKEM so that the teaching and learning process is more enjoyable and can improve student learning achievement

scholarly journals Emotional Intelligence with Learning Achievements Reviewed from Islamic Education

2020 ◽  
Vol 1 (2) ◽  
pp. 112-125
Author(s):  
Nur Aisyiah Yusri ◽  
Mariah Kibtiyah ◽  
Thoat Hamim
Keyword(s):  
Student Achievement ◽  
Emotional Intelligence ◽  
High School Students ◽  
School Students ◽  
Emotional Factors ◽  
School Year ◽  
Knowledge Models ◽  
Analysis Technique ◽  
The Relationship

One of the psychological aspects that determine the quality of learning outcomes, it closely relates emotional factors to emotional intelligence. Emotional intelligence is one of the knowledge models developed in psychology based on various arguments and scientific findings from neuroscience studies and analysis. This article discusses the relationship between emotional intelligence and student achievement. The sample used was 248 high school students in Padang city, and the data analysis technique was Pearson's product-moment correlation. This research study instrument was the emotional intelligence scale, while they obtained student learning achievement from the report card scores in the odd semester of the 2019-2020 school year. The results showed that there was a significant interrelationship between emotional intelligence and student achievement.

Pengembangan Media Pembelajaran Fisika Projectile Launcher sebagai Alat Praktikum Fisika pada Materi Gerak Parabola Fisika Kelas XI IPA

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Riki Chandra Wijaya ◽  
Damris M ◽  
Kamid Kamid
Keyword(s):  
High School ◽  
Student Achievement ◽  
High School Students ◽  
Development Model ◽  
Classroom Teaching ◽  
School Students ◽  
Motion Study ◽  
Conventional Teaching ◽  
Improve Student Achievement ◽  
Senior High School Students

Parabolic motion is one of the teaching materials studied by senior high school students where they are commonly tough through conventional teaching. The objectives of this study were to develop a projectile launcher to help students studying parabolic motion. A development model of Richey,dkk was adopted in this study. The product was validated by experts and used in a small group of students. It was then used in a real classroom teaching in which the projectile launcher was used and maximum stance were measured. The theoretical calculation and measured stance were compared to show the student the usefulness of the product. The result showed that the projectile launcher developed in this study can be used for of parabolic motion study and improve student achievement.

scholarly journals Perhatian Orang Tua dan Penguasaan Materi Prasyarat Terhadap Belajar Matematika

2019 ◽  
Vol 7 (1) ◽  
pp. 45-56
Author(s):  
Widiyanto Widiyanto
Keyword(s):  
High School ◽  
High School Students ◽  
Learning Outcomes ◽  
Significant Influence ◽  
Significant Relationship ◽  
Mathematics Learning ◽  
Sampling Technique ◽  
School Students ◽  
Learning Achievement ◽  
Correlational Research

This study aims to study parental attention (X1), mastery of material as a requirement (X2) and jointly with parental attention (X1) and mastery of material related to the suitability of learning outcomes of students of SMAN 4 Kota Sorong (Y). This type of research is quantitative in the form of correlational research. Purposive sampling is a sampling technique used in this study. The results showed that parents' attention and mastery of material had a significant relationship to mathematics learning achievement of Sorong City 4 High School students, namely 63.8% and 47.6%. Together, parental attention and mastery of prerequisite material have a significant influence on mathematics learning achievement of SMAN 4 Sorong City students, amounting to 70.6%.

scholarly journals The Academic Procrastination in Junior High School Students’ Mathematics Learning: A Qualitative Study

2017 ◽  
Vol 10 (9) ◽  
pp. 70
Author(s):  
Dahlia Novarianing Asri ◽  
Punaji Setyosari ◽  
Imanuel Hitipeuw ◽  
Tutut Chusniyah
Keyword(s):  
High School ◽  
High School Students ◽  
Data Collection ◽  
Junior High School ◽  
Junior High ◽  
Mathematics Learning ◽  
Junior High School Students ◽  
Academic Procrastination ◽  
School Students ◽  
Learning Achievement

Among the main causes of low learning achievement in mathematics learning is a delayed behavior to do tasks, commonly called academic procrastination. The objectives of this research are to describe and to explain the causal factors and consequences of academic procrastination in learning mathematics for junior high school students. This research was conducted for more than five months. The research took place at six junior high schools in Madiun Regency. The research approach was a qualitative descriptive. The types of data sources were six mathematics teachers and six students, in-class mathematics learning activities, and documents. The data collection techniques were (1) questionnaire, (2) documentation, (3) passive role observation, and (3) in-depth interviews. The data were analyzed using an interactive model, which was implemented in two stages. They are at the time or during the course of data collection and after the data collection. The results of data analysis show that academic procrastination is caused by several factors. They are assumption that the tasks assigned are not important, too burdensome, and difficult to work, insufficient knowledge, too perfectionist, bad management of learning, lack of self-regulation, stress and fatigue, lack of social support, indiscipline teachers, and inconducive school culture. Academic procrastination, most importantly, leads to low learning achievement.

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