Students' performance in interactive environments: an intelligent model [PeerJ]
Por um escritor misterioso
Last updated 28 março 2025
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2023/cs-1348/1/fig-1-full.png)
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.
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Frontiers Learning behavior, digital platforms for learning and its impact on university student's motivations and knowledge development
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Natural language processing applied to mental illness detection: a narrative review
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://www.tandfonline.com/cms/asset/59a2d8c9-1a12-4b7c-b9db-0899fe04363c/cchg_a_2075692_f0002_oc.jpg)
Full article: Application of the COM-B model to the correlates of children's outdoor playing and the potential role of digital interventions: a systematic literature review
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://ars.els-cdn.com/content/image/1-s2.0-S2405844023002219-gr3.jpg)
Adoption of E-learning systems: An integration of ISSM and constructivism theories in higher education - ScienceDirect
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://pub.mdpi-res.com/education/education-13-00222/article_deploy/html/images/education-13-00222-g001.png?1677641365)
Education Sciences, Free Full-Text
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2023/cs-1348/1/fig-5-full.png)
Students' performance in interactive environments: an intelligent model [ PeerJ]
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://www.mdpi.com/computers/computers-12-00030/article_deploy/html/images/computers-12-00030-g001.png)
Computers, Free Full-Text
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PDF] Factors Influencing Adoption Intention of AI Powered Chatbot for Public Transport Services within a Smart City
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The evaluation of university management performance using the CS-RBM algorithm [PeerJ]
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://www.mdpi.com/socsci/socsci-11-00042/article_deploy/html/images/socsci-11-00042-g001-550.jpg)
Social Sciences, Free Full-Text
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COVID-19 mortality prediction using ensemble learning and grey wolf optimization [PeerJ]
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2023/cs-1348/1/fig-15-full.png)
Students' performance in interactive environments: an intelligent model [ PeerJ]
![Students' performance in interactive environments: an intelligent model [PeerJ]](https://econtent.hogrefe.com/cms/10.1027/1016-9040/a000481/asset/images/medium/1016-9040_a000481_tbl3a.gif)
Immersive Virtual Environments' Impact on Individual and Collective Creativity: A Review of Recent Research: European Psychologist: Vol 27, No 3
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