ASRIC Journal of Engineering Sciences 2025 v6-i1
ISSN: 2795-3556
EISSN: 2795-3548
Current Issue
ASRIC Journal of Engineering Sciences 2025 v6-i1
Published: 2025-12-31
Articles
Improving Students’ Performance in Carpentry and Joinery Through Artificial Intelligence Multimodal Learning Materials Utilization at Crafts Development Centres in South-South Nigeria.
Sunny Nwakanma
This study was necessitated due to poor performance of students in carpentry and joinery at crafts development centers in South-South Nigeria. The study was significant; owning to the fact that, in recent times, carpentry and joinery craft has become one of the lucrative careers. The study adopted Descriptive Survey and Quasi-Experimental designs. Six research questions and six null hypotheses gui
Mobile Learning Innovations and Literacy Facilitators’ Training in Nigeria: A Developmental Study
Solomon O. Ojedeji*, Omobola O. Adelore, Mpho M. Dichaba
Adult literacy programmes in Nigeria are faced with several challenges, one of which is the use of inadequately trained facilitators. Most facilitators are volunteers who lack mastery of the needed andragogical principles and essential facilitation skills. This has hindered the quality of literacy delivery in the country. This study, therefore, aimed to design, develop, and evaluate a Mobile Train
A Hybrid DWT–PCA–SVM Framework for Smartphone-Based Human Activity Recognition in Medical Monitoring Applications: The Ghanaian Context
Mohammed Y. Umaru*, Yao Yevenyo Ziggah, Solomon Nunoo
The increasing prevalence of chronic diseases and the growing need for remote healthcare delivery in Ghana highlight the importance of efficient, low-cost, and intelligent patient monitoring systems. This study presents a hybrid Discrete Wavelet Transform–Principal Component Analysis–Support Vector Machine (DWT–PCA–SVM) framework for smartphone-based Human Activity Recognition (HAR), designed to s
From Basic Literacy to Digital Literacy: Building Foundational Skills for the 21st Century in Africa
Jean Faustin Kaffo*, Landry Kengne
This study examines structural barriers hindering Africa’s effective adoption and integration of Artificial Intelligence (AI) to enhance human capital efficiency. Similar to past industrial revolutions, the fourth industrial revolution—driven by AI—acts as a technological engine of growth in the Solow framework. Using a descriptive and comparative approach based on quantitative data, the paper ide
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