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Artificial Neural Network Model for Prediction of Students’ Success in Learning Programming

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Title Statement Artificial Neural Network Model for Prediction of Students’ Success in Learning Programming
 
Added Entry - Uncontrolled Name Stanković, N Lj; University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Blagojević, M D; University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Papić, M Ž; University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Karuović, D ; University of Novi Sad, Technical faculty "Mihajlo Pupin" Zrenjanin
 
Uncontrolled Index Term Artificial Neural Network, Programming, Success, Prediction
 
Summary, etc. <p>This paper presents the model for predicting students’ success in acquiring programming knowledge and skills. In order to collect the data needed for development of the model, 159 undergraduate IT students from Faculty of Technical Sciences in Čačak were tested. Other relevant data were also gathered for each student: high school, the subject he/she took at the entrance exam, size of student’s birthplace, average high school grade, points from high school, gender, previous education, existence of IT educational profile in high school, study year, percentage of attendance on classes, reason for enrolment, subjective assessment of preparedness for programming, solving sequential tasks, type of programming student prefers, subjective assessment of preparedness for working in industry, solving tasks with branching and cycle, solving complex tasks, knowledge level, formal education,  informal education, Kolb's learning style. Based on the results about the relevance of the parameters, the model reached an accuracy of 92.3%. In order to facilitate the use of the created model, a Web-based application for displaying the results were created. The application was primarily created for teachers with no experience in working with neural networks, who can use it for planning the teaching process based on prediction of students’ performance.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-06-10 16:11:57
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/40377
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 80, ##issue.no## 03 (21)
 
Language Note en