Students’ performance in interactive environments: an intelligent model
Modern approaches in education technology, which make use of advanced resources such as electronic books, infographics, and mobile applications, are progressing to improve education quality and learning levels, especially during the spread of the coronavirus, which resulted in the closure of schools...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-05-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1348.pdf |
| _version_ | 1797822629954977792 |
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| author | Doaa Mohamed Elbourhamy Ali Hassan Najmi Abdellah Ibrahim Mohammed Elfeky |
| author_facet | Doaa Mohamed Elbourhamy Ali Hassan Najmi Abdellah Ibrahim Mohammed Elfeky |
| author_sort | Doaa Mohamed Elbourhamy |
| collection | DOAJ |
| description | Modern approaches in education technology, which make use of advanced resources such as electronic books, infographics, and mobile applications, are progressing to improve education quality and learning levels, especially during the spread of the coronavirus, which resulted in the closure of schools, universities, and all educational facilities. To adapt to new developments, students’ performance must be tracked in order to closely monitor all unfavorable barriers that may affect their academic progress. Educational data mining (EDM) is one of the most popular methods for predicting a student’s performance. It helps monitoring and improving students’ results. Therefore, in the current study, a model has been developed so that students can be informed about the results of the computer networks course in the middle of the second semester and 11 machine algorithms (out of five classes). A questionnaire was used to determine the effectiveness of using infographics for teaching a computer networks course, as the results proved the effectiveness of infographics as a technique for teaching computer networks. The Moodle (Modular Object-Oriented Dynamic Learning Environment) educational platform was used to present the course because of its distinctive characteristics that allow interaction between the student and the teacher, especially during the COVID-19 pandemic. In addition, the different methods of classification in data mining were used to determine the best practices used to predict students’ performance using the weka program, where the results proved the effectiveness of the true positive direction of functions, multilayer perceptron, random forest trees, random tree and supplied test set, f-measure algorithms are the best ways to categories. |
| first_indexed | 2024-03-13T10:10:57Z |
| format | Article |
| id | doaj.art-d306d459c64f4c8bac78e510e8fb2ce6 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-13T10:10:57Z |
| publishDate | 2023-05-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-d306d459c64f4c8bac78e510e8fb2ce62023-05-21T15:05:05ZengPeerJ Inc.PeerJ Computer Science2376-59922023-05-019e134810.7717/peerj-cs.1348Students’ performance in interactive environments: an intelligent modelDoaa Mohamed Elbourhamy0Ali Hassan Najmi1Abdellah Ibrahim Mohammed Elfeky2Kafrelsheikh University, Kafrelsheikh, EgyptKing Abdulaziz University, Jeddah, Saudi ArabiaKafrelsheikh University, Kafrelsheikh, EgyptModern approaches in education technology, which make use of advanced resources such as electronic books, infographics, and mobile applications, are progressing to improve education quality and learning levels, especially during the spread of the coronavirus, which resulted in the closure of schools, universities, and all educational facilities. To adapt to new developments, students’ performance must be tracked in order to closely monitor all unfavorable barriers that may affect their academic progress. Educational data mining (EDM) is one of the most popular methods for predicting a student’s performance. It helps monitoring and improving students’ results. Therefore, in the current study, a model has been developed so that students can be informed about the results of the computer networks course in the middle of the second semester and 11 machine algorithms (out of five classes). A questionnaire was used to determine the effectiveness of using infographics for teaching a computer networks course, as the results proved the effectiveness of infographics as a technique for teaching computer networks. The Moodle (Modular Object-Oriented Dynamic Learning Environment) educational platform was used to present the course because of its distinctive characteristics that allow interaction between the student and the teacher, especially during the COVID-19 pandemic. In addition, the different methods of classification in data mining were used to determine the best practices used to predict students’ performance using the weka program, where the results proved the effectiveness of the true positive direction of functions, multilayer perceptron, random forest trees, random tree and supplied test set, f-measure algorithms are the best ways to categories.https://peerj.com/articles/cs-1348.pdfIntelligent modelTrack students’ performanceInteractive environmentsEDMMoodleWeka |
| spellingShingle | Doaa Mohamed Elbourhamy Ali Hassan Najmi Abdellah Ibrahim Mohammed Elfeky Students’ performance in interactive environments: an intelligent model PeerJ Computer Science Intelligent model Track students’ performance Interactive environments EDM Moodle Weka |
| title | Students’ performance in interactive environments: an intelligent model |
| title_full | Students’ performance in interactive environments: an intelligent model |
| title_fullStr | Students’ performance in interactive environments: an intelligent model |
| title_full_unstemmed | Students’ performance in interactive environments: an intelligent model |
| title_short | Students’ performance in interactive environments: an intelligent model |
| title_sort | students performance in interactive environments an intelligent model |
| topic | Intelligent model Track students’ performance Interactive environments EDM Moodle Weka |
| url | https://peerj.com/articles/cs-1348.pdf |
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