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Fostering preservice teachers socio-emotional, technological, and metacognitive knowledge (STM-K) using e-portfolios
Preservice teachers often face challenges in develo** Socio-emotional, Technological, and Metacognitive Knowledge (STM-K) due to a lack of...
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Data science career preference of Nigeria University students
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian...
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VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
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Towards an integrative model of blended design studios: a multiple case study across architecture, design and planning education
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors,...
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Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many...
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Insights into mobile assisted language learning research in Iran: A decade review (2010–2023)
Mobile technologies and the widespread application of mobile devices have become significant in educational settings. Mobile-assisted language...
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Analyzing processing time and load factor: 5-node mix network with ElGamal encryption and XOR shuffling
To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An...
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Integrating theories for insight: an amalgamated model for gamified virtual reality adoption by science teachers
This study examines the factors influencing science teachers’ intentions to adopt gamified virtual reality (VR) in educational settings, employing...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Fast Global Image Smoothing via Quasi Weighted Least Squares
Image smoothing is a long-studied research area with tremendous approaches proposed. However, how to perform high-quality image smoothing with less...
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Poietic symbiosis or algorithmic subjugation: generative AI technology in marketing communications education
This exploratory study investigates the convergence of marketing communications and AI-powered technology in higher education, adopting a perspective...
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Greek translation, cultural adaptation, and psychometric validation of beginners computational thinking test (BCTt)
Computational thinking (CT) is regarded as a valuable skill set for the students of the 21st century, fostering problem-solving skills applicable to...
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Effective learning with a personal AI tutor: A case study
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement...
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ChatGPT as an automated essay scoring tool in the writing classrooms: how it compares with human scoring
With the generative artificial intelligence (AI) tool’s remarkable capabilities in understanding and generating meaningful content, intriguing...
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LV-YOLO: logistic vehicle speed detection and counting using deep learning based YOLO network
In the era of smart cities and advancing transportation technologies, predicting logistic vehicle and vehicle speed is pivotal to enhancing traffic...
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Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning
For optimum performance, deep learning methods, such as those applied for retinal and choroidal layer segmentation in optical coherence tomography...
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Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application
Artificial intelligence together with its applications are advancing in all fields, particularly medical science. A considerable quantity of clinical...
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Multi-modal Prototypes for Open-World Semantic Segmentation
In semantic segmentation, generalizing a visual system to both seen categories and novel categories at inference time has always been practically...
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3D Reconstruction of flame temperature field based on lightweight residual network with spatial attention mechanism
Flame temperature field measurement has always been a key topic in combustion research, which is of great significance for combustion state diagnosis...
