Students' performance in interactive environments: an intelligent model [PeerJ]

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.

Taxonomies for botnet detection and security layers of IoT smart

A novel intelligent agent-based framework for appropriate stream selection from perceptive of career counseling [PeerJ]

Visual design of green information in urban environment based on global similarity calculation and multi-dimensional visualization technology [PeerJ ]

Computers, Free Full-Text

The effect of big data technologies usage on social competence [PeerJ]

Effectiveness of real-time classroom interactive competition on academic performance: a systematic review and meta-analysis [PeerJ]

Frontiers Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion

Layer-by-Layer Analysis of In Vitro Skin Models

Integration of federated learning with IoT for smart cities applications, challenges, and solutions [PeerJ]

Frontiers Cities and neuroscience research: A systematic literature review

A two-way model showing the interaction of Self-Directedness

Student learning performance prediction based on online behavior: an empirical study during the COVID-19 pandemic [PeerJ]

Sustainability, Free Full-Text

Toward Fully Automated High Performance Computing Drug Discovery: A Massively Parallel Virtual Screening Pipeline for Docking and Molecular Mechanics/Generalized Born Surface Area Rescoring to Improve Enrichment