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All Journal International Journal of Electrical and Computer Engineering Journal of Education and Learning (EduLearn)
Lei, Zhang
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Humanities Computer Science & IT Education Electrical & Electronics Engineering Library & Information Science Social Sciences Other

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Internet behavioral models for improving internet quality of service or user profiling: a systematic literature review Lei, Zhang; Kamal Bashah, Nor Shahniza
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp4352-4364

Abstract

Internet behavior models have found applications across diverse domains, notably in internet addiction, customer satisfaction analysis, user purchasing behavior prediction, and optimizing internet of things (IoT) sensor performance. However, a notable gap exists in exploring these models in enhancing internet quality of service (QoS), specifically in campus settings, intricately linked to the nuances of students' online behavior. This study elucidates the strategic utilization of internet behavioral models for augmenting internet QoS and facilitating user behavior analysis. Creating datasets grounded in internet users' access behavior represents a pivotal phase, with explicit, implicit, and mixed methods emerging as the prevailing approaches. In this comprehensive literature review, we systematically scrutinized the methods, techniques, and inherent characteristics of constructing internet behavior models according to a systematic literature review process. The qualitative findings extracted from the systematic review encapsulated 1,046 articles, meticulously classified according to predefined inclusion and exclusion criteria. Subsequently, 35 articles were judiciously selected for in-depth analysis. This study culminated in identifying the most pertinent methodologies and salient features pivotal to construct robust internet behavior model for improving internet QoS and user experience.
The development direction and challenges of STEM integration: a systematic literature review Lei, Zhang; Jalaludin, Nur Atiqah; Rasul, Mohamad Sattar; Salim, Mohamad Hidir Mhd
Journal of Education and Learning (EduLearn) Vol 20, No 1: February 2026
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v20i1.22439

Abstract

The development of society has put forward higher requirements for K-12 talent cultivation. However, some situations are not optimistic, such as students’ low interest in mathematics, science and other disciplines, and the subject setting cannot match the needs of talent cultivation. Numerous studies confirmed that in the context of curriculum integration, further integration of science, technology, engineering, and mathematics (STEM) curriculum, learning methods and other aspects is needed, but there are still few summaries of the development direction and approaches of STEM in the context of STEM integration. This paper focuses on STEM integration, to clarify the development direction and approaches of STEM integration in the context of education reform, and then systematically summarize the development and existing problems of STEM integration education with a systematic literature review (SLR) method, 62 articles from 2013-2023 were finally selected from Web of Science (WoS). This study reveals the development of STEM curriculum, STEM pedagogy and models in STEM integration, attaches importance to the concept of interdisciplinary integration, advocates curriculum integration and improves students’ 21st century skills by integrating. In addition, there needs to be more research focusing on the internal impacts of learning outcomes, STEM literacy, and student STEM identity.
Co-Authors Jalaludin, Nur Atiqah Kamal Bashah, Nor Shahniza Rasul, Mohamad Sattar Salim, Mohamad Hidir Mhd