Career Recommendation System for Validation of Multiple Intelligence to High School Students

2021 ◽  
pp. 110-120
Author(s):  
Maryori Sabalza Mejia ◽  
Carolina Campillo Jimenez ◽  
Juan Carlos Martínez-Santos
Keyword(s):  
High School ◽  
High School Students ◽  
Recommendation System ◽  
Multiple Intelligence ◽  
School Students

scholarly journals PROSES PEMECAHAN MASALAH MATEMATIKA SISWA SMA BERDASARKAN KECERDASAN MAJEMUK

2020 ◽  
Vol 3 (2) ◽  
pp. 123-144
Author(s):  
Suhartini Sumadi ◽  
Teguh Yuliandri Putra ◽  
Heny Sri Astutik
Keyword(s):  
High School ◽  
High School Students ◽  
Problem Solving ◽  
Multiple Intelligences ◽  
Multiple Intelligence ◽  
Research Subjects ◽  
School Students ◽  
Science Olympiad ◽  
High School Math ◽  
Problem Solving Process

This study aims to analyze the mathematics problem-solving process of high school students based on multiple intelligences. In research, multiple intelligence is divided into dominant linguistic intelligence, interpersonal and kinesthetic intelligence, dominant musical intelligence, logical-mathematical and naturalistic, existential, intrapersonal, and visual dominant intelligence. The type of research used in this research is descriptive exploratory, and the approach used is qualitative and quantitative approaches. Determination of research subjects was carried out using purposive sampling based on multiple intelligences, to obtain 3 high school students of class X as research subjects. The research instrument used was a multiple intelligence test and two problem-solving tests adopted from the American High School Math Exam (AHSME) Problems and the Provincial High School Mathematics National Science Olympiad questions. The data obtained were analyzed, utilizing data reduction. The research results show that students with multiple different intelligence bits have different ways of solving them, but there are also similarities in solving problems.

scholarly journals Career Recommendation System for High-School Seniors based on Government Standardized-Tests Results

2021 ◽  
Author(s):  
Daniel Otero Gómez ◽  
MIGUEL ANGEL CORREA MANRIQUE ◽  
Omar Becerra Sierra ◽  
Mauricio Toro ◽  
David Andres Romero Millan ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Recommendation System ◽  
Characteristic Curve ◽  
Graduate Record Examination ◽  
School Students ◽  
Student Dropout ◽  
Scholastic Assessment Test ◽  
The Government ◽  
The U.S

When it comes to choosing a career path, senior high-school students struggle to make a decision. The purpose of this research is to help such students select a career track by providing a match-based scored recommendation of academic and professional routes, promoting the development of the government-aided quality educational system by reducing the student dropout. Recommendations are based on the results of the Colombian standardized Saber 11 examination (which is similar to SAT [Scholastic Assessment Test] scores in the U.S.), and how other students with similar characteristics (demographic, socio-economic, family information) performed in their undergraduate tests and the Colombian standardized Saber Pro exam (which is similar to GRE -Graduate Record Examination- scores in the U.S.). Collected information was bundled with their career choice and the recommendation system was developed using Machine Learning and Deep Learning techniques, ROC (Receiver operating characteristic) curve was computed for each career and found on average the AUC (Area under the ROC Curve) score was 0.86 despite the high variability between them. In addition, a business metric was built and evaluated.

scholarly journals Determination of Extracurricular Activities for High School Students Based on Multiple Intelligence

2020 ◽  
Vol 9 (1) ◽  
pp. 21-29
Author(s):  
Muggy David Cristian Ginzel ◽  
Asep Saefuddin ◽  
Erfiani Erfiani
Keyword(s):  
High School ◽  
High School Students ◽  
Hierarchical Clustering ◽  
Extracurricular Activities ◽  
Clustering Analysis ◽  
Fine Arts ◽  
Multiple Intelligence ◽  
School Students ◽  
Ward Method

Senior high school in Indonesia is divided into two groups, namely Natural science and Social science. Those grouping of majors is allegedly not appropriate enough the potential of students yet because of the multiple intelligence of each student is different. This study aims to establish an extracurricular program for everyone grouped by multiple intelligences carried out by each student. The method used in this study are the non-hierarchical clustering k-Means and hierarchical clustering Ward method. The k-Means method used to determine the effective number of groups, while Ward method used to identify the member of each cluster and the recommendation of extracurricular in the cluster obtained. Based on the results of the clustering analysis, there are five clusters obtained, Language and Fine Arts; Communication; Leadership; Nature Lovers; and also Design and Photography.

scholarly journals PENGEMBANGAN LEMBAR KERJA SISWA BERBASIS MULTIPLE INTELLIGENCE PADA MATERI ENZIM SISWA SMA

2018 ◽  
Vol 3 (02) ◽  
pp. 48-57
Author(s):  
Anista Vera Duwi Lestari ◽  
Khoirun Nisa
Keyword(s):  
High School ◽  
High School Students ◽  
Experimental Research ◽  
Large Scale ◽  
Development Process ◽  
Multiple Intelligence ◽  
Development Model ◽  
Development Research ◽  
School Students ◽  
Further Development

This research was conducted based on the problems that occurred, among others: LKS owned by students so far have not been able to train students to learn independently and low mastery of students on metabolic material. The purpose of this development research is to find out the development process and find out the results of the development of Multiple Intelligence Based Student Worksheets on the material of high school students' enzymes. This study uses the 4D development model by Thiagarajan et al. which includes 4 stages: Define, design, design and Disseminate. Testing of Multiple Intelligence-Based LKS products, there are several aspects including media assessment, assessment of material and readability tests. Multiple Intelligence-based worksheet validation results have been obtained by media expert validators with a percentage of 96.43%, by the material expert validator with a percentage of 84.21% and the students' readability trial results obtained a percentage of 65.33%. Based on the data that has been obtained for testing this Multiple Intelligence-Based LKS product, it is expected that in the future it can be tested on a large scale in the classroom for further development. Further development, can be done with classroom action training (PTK) or Experimental research.

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