Published Online:March 2025
Product Name:The IUP Journal of Information Technology
Product Type:Article
Product Code:IJIT020325
DOI:10.71329/IUPJIT/2025.21.1.21-48
Author Name:Njoku Christian Chimere, Oladimeji Adegbola Isaac and Wilson Nwankwo
Availability:YES
Subject/Domain:Engineering
Download Format:PDF
Pages:21-48
Emerging technologies continue to reshape computing education by transforming traditional pedagogical approaches. With the growing integration of artificial intelligence (AI), virtual and augmented reality (AR), machine learning (ML) and big data analytics, the educational paradigm is shifting from teacher-centered instruction to learner-centric models that prioritize collaboration, personalization and adaptability. This paper systematically reviews current literature from leading academic databases—including ScienceDirect, ResearchGate and Scopus—to examine how these technologies are redefining teaching and learning in computing. The findings reveal that emerging technologies enhance engagement by fostering interactive and adaptive learning environments, enabling real-time feedback, and promoting the development of critical and creative thinking skills. However, challenges remain, such as resource constraints, persistent digital divides between urban and rural learners, and inadequate funding. Addressing these challenges will require coordinated initiatives by governments, industry stakeholders, and educational institutions to invest in digital infrastructure, provide ongoing teacher training, and implement innovative funding strategies.
The integration of emerging technologies, such as artificial intelligence (AI), machine learning, blockchain, Internet of Things (IoT), and augmented reality (AR), has significantly transformed computing education, addressing long-standing challenges and enhancing learning outcomes.