scholarly journals Predicting Risk of Being Victims of Bullying for High School Students using Artificial Neural Network

2019 ◽  
pp. 255-260
Author(s):  
Ziyue Zhang ◽  
Keyword(s):  
Neural Network ◽  
High School ◽  
Artificial Neural Network ◽  
High School Students ◽  
School Students ◽  
Artificial Neural ◽  
Victims Of Bullying

scholarly journals Perancangan dan Implementasi Sistem Pendukung Keputusan Untuk Penjurusan Siswa Menggunakan Metode Jaringan Saraf Tiruan Studi Kasus di MAN 2 Padang Panjang

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Bobby Rachman ◽  
Yeka Hendriyani ◽  
Khairi Budayawan
Keyword(s):  
Neural Network ◽  
High School ◽  
Artificial Neural Network ◽  
High School Students ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Senior High School ◽  
Multiple Intelligence ◽  
Artificial Neural

A Constraint in education order to produce qualified graduates is a traditional mindset of many schools in students’ majoring which only emphasizes on students’ grades. The fact is similar to ideas that expressed by Seto Mulyadi (2003), a practitioner of the child's education. He said that it was a big mistake if student achievement only measured on grades at the end of the semester.Senior High school is upper level of formal education in Indonesia, after graduating from junior high school. Students study at senior high school within 3 years as they  study at Islamic senior high school (MAN) 2 Padang Panjang, ranging from grade 10 to grade 12. In the second year or at the grade 11, students may choose one of the majors that exist in schools, namely, science, social, and Religious. In designing the decision support system for students’ majoring at MAN 2 Padang Panjang,   an artificial neural network based on Multiple Intelligence is needed. Furthermore, Java programming and MySQL are also required.  The results of the data analysis showed that the design of a decision support system for students’ majoring at MAN 2 Padang Panjang by using artificial neural network was successfully implemented, and the system can help the teachers to simplify the implementation of students’ majoring. Keywords: Students’ majoring, Multiple Intelligence, Artificial Neural Networks, Java and MySQL

scholarly journals Perancangan Sistem Informasi dan Sarana Pelaporan Kasus Bullying Berbasis Web Menggunakan Teknologi Pemograman PHP dengan Framework Laravel

2020 ◽  
Vol 10 (2) ◽  
pp. 44-48
Author(s):  
Sutono ◽  
Tri Widayanti ◽  
Bety Agustina Rahayu
Keyword(s):  
High School ◽  
High School Students ◽  
Health Service ◽  
System Design ◽  
Programming Language ◽  
Prototype Model ◽  
Literature Study ◽  
School Students ◽  
Level Of Knowledge ◽  
Victims Of Bullying

Bullying is still a troubling social problem. Bullying cases that occur in high school students have caused many problems both physically and psychologically. Bullying is a phenomenon that is very much, rooted, passed down from generation to generation. The seriousness of bullying is a big problem for all of us. The level of knowledge and concern for teachers, parents, health service teams, and the Indonesian people towards bullying is still low. Information systems are needed for management in making decisions to overcome bullying problems. Researchers in this study created a system that can be used as a means of delivering information from students to schools. The creation of this system is based on a system that is easily accessible, secure, and guarantees the confidentiality of the complainants. So that this product can help schools identify cases of bullying in schools, who are the perpetrators of bullying, and victims of bullying, with the hope that schools can stop the chain of bullying events and prevent bullying at schools. The scheme in this study is to design a website that reports bullying and provides information. The system design model used in this study is a prototype model and data was collected through observation, interviews and literature study. The programming language used is PHP and software for designing interfaces using the laravel framework. Making a database using MySQL with the XAMMP application.  

scholarly journals High school students’ perception of bullying as a phenomenon of group action

2019 ◽  
Vol 70 ◽  
pp. 08017
Author(s):  
Elena Harlanova ◽  
Nadezhda Sivrikova ◽  
Inna S. Popova ◽  
Ekaterina A. Lapaeva
Keyword(s):  
High School ◽  
High School Students ◽  
School Bullying ◽  
Point Of View ◽  
Contextual Approach ◽  
School Students ◽  
School Class ◽  
School Year ◽  
The World ◽  
Victims Of Bullying

Bullying is a dangerous phenomenon that affects many modern students around the world. Bullying destructively affects a person regardless of the role (aggressor, observer, victim) and, despite measures to overcome, is present at school. Bullying (from the point of view of the contextual approach) is a social-group phenomenon that accompanies the development of a group with an unconstructive deformation of relationships in it. We conducted a research that reveals how Russian students are prone to bullying, how (taking into account gender and experience of it) are aware of its causes, who can stop bullying and whom they are ready to turn for help to if they become observers or victims of bullying. The results of the study showed that 46.8% of students felt oppressed during the school year (2018-2019). Students realize that the school class can stop bullying, but in a bullying situation they turn to parents, teachers, less to friends, do not mention the school class.

scholarly journals Problem-Solving Skills Among Precollege Students in Clinical Immunology and Microbiology: Classifying Strategies with a Rubric and Artificial Neural Network Technology

2001 ◽  
Vol 2 (1) ◽  
pp. 25-33
Author(s):  
SUSAN KANOWITH-KLEIN ◽  
MEL STAVE ◽  
RON STEVENS ◽  
ADRIAN M. CASILLAS
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
High School Students ◽  
Problem Solving ◽  
Network Technology ◽  
Problem Solving Skills ◽  
Problem Solving Strategies ◽  
Artificial Neural ◽  
Neural Network Technology

Educators emphasize the importance of problem solving that enables students to apply current knowledge and understanding in new ways to previously unencountered situations. Yet few methods are available to visualize and then assess such skills in a rapid and efficient way. Using a software system that can generate a picture (i.e., map) of students’ strategies in solving problems, we investigated methods to classify problem-solving strategies of high school students who were studying infectious and noninfectious diseases. Using maps that indicated items students accessed to solve a software simulation as well as the sequence in which items were accessed, we developed a rubric to score the quality of the student performances and also applied artificial neural network technology to cluster student performances into groups of related strategies. Furthermore, we established that a relationship existed between the rubric and neural network results, suggesting that the quality of a problem-solving strategy could be predicted from the cluster of performances in which it was assigned by the network. Using artificial neural networks to assess students’ problem-solving strategies has the potential to permit the investigation of the problem-solving performances of hundreds of students at a time and provide teachers with a valuable intervention tool capable of identifying content areas in which students have specific misunderstandings, gaps in learning, or misconceptions.

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