
Volume 5, Issue 1 brings together applied research across healthcare education, public-sector governance, and English language teaching. The issue examines postgraduate clinical integration pathways, transparency in digital asset disposal, video-supported flipped instruction for EFL writing, and extracurricular language learning aligned with Sustainable Development Goal 4. Collectively, these studies highlight how policy, technology, and educational innovation can improve professional preparation, institutional accountability, and inclusive learning outcomes across diverse regional contexts.
Volume 4, Issue 4 brings together research on financial risk and management information systems, AI-enabled talent development, advertising markets, language learning and translation, circular RNA in cancer, renewable energy, blockchain-enabled supply chains, machine learning in finance, erosion control, electrical protection, accessible generative AI, and cardiac-device outcomes.
Across business, education, health, energy, and infrastructure, the studies demonstrate why emerging technologies must be assessed not only for performance but also for transparency, inclusion, safety, institutional accountability, and their wider consequences for society.
Volume 4, Issue 2 connects applied research in AI-supported language learning, vocational EFL motivation, generative-AI data engineering, fair software systems, predictive quality assurance, digital twins, translation competence, federated data quality, policy-aware delivery, crisis customer service, 3D bioprinting, digital marketing, Business English, e-commerce, and tourism development.
Together, these studies emphasize implementation: translating technical, educational, biomedical, and organizational ideas into systems and practices that can be evaluated for effectiveness, equity, reliability, and real-world value.
Volume 4, Issue 3 examines digital transformation through AI-enhanced language education, podcast-supported listening, cloud test automation, intelligent network redundancy, transport innovation, financial regulation, governance, healthcare, and engineering safety. The issue brings educational change into dialogue with the wider infrastructures and institutions that shape digital adoption.
Collectively, the contributions highlight the importance of learner experience, system resilience, ethical dialogue, organizational readiness, and context-sensitive evaluation when emerging technologies move from experimentation into everyday practice.
Volume 4, Issue 1 explores applications of artificial intelligence and advanced digital systems across cybersecurity, healthcare, financial services, smart buildings, renewable energy, and data-driven operations. The contributions examine how predictive models, automation, secure infrastructure, and intelligent decision support can address sector-specific challenges.
Collectively, the studies position AI as an enabling capability whose developmental value depends on reliability, efficiency, responsible governance, and measurable benefits for organizations, communities, and sustainable infrastructure.
Volume 3, Issue 4 brings together research on role-play in language learning, CRISPR-enabled therapeutic strategies, IoT and artificial intelligence for small and medium enterprises, microbiome-based disease prediction, systems engineering, nanomaterial biosensors, microfluidic disease models, cognitive metaphor, genomic sequencing, skincare science, wearable monitoring, and advanced drug-delivery technologies.
Across biomedical, educational, computational, and engineering contexts, the studies illustrate how convergent research can translate scientific advances into practical tools, strengthen organizational and human capability, and contribute to more sustainable and socially relevant innovation.
Volume 3, Issue 3 examines artificial intelligence and machine learning across finance, healthcare, computing infrastructure, marketing, logistics, productivity, privacy-preserving data collaboration, and drug discovery. The issue also addresses taxation in the gig economy, emotional regulation, social vulnerability, cloud pricing, and the institutional consequences of data-intensive decision systems.
Together, these contributions foreground questions of accountability, privacy, fairness, security, and public value in the design and deployment of intelligent technologies. The issue record also includes a retraction notice, preserving transparency in the journal’s publication history.
Volume 3, Issue 2 assembles interdisciplinary work on artificial intelligence in real-estate valuation and industrial transformation, organizational change aligned with Vision 2030, governance and employee satisfaction, language education, translation, bilingual development, machine-learning applications in health and environmental assessment, and business strategy. The issue connects technological innovation with educational, institutional, and social practice.
Collectively, the studies emphasize responsible adoption, critical and communicative capability, evidence-based management, and locally relevant applications as foundations for resilient organizations and more sustainable development pathways.
Volume 3, Issue 1 focuses on linguistics and language education in digitally mediated and multilingual settings. The studies examine YouTube-supported speaking, memory and listening comprehension, English and Chinese language learning, vocabulary development through film, learner autonomy, spatial metaphor, English for tourism, drama-based instruction, and related questions of culture, cognition, and pedagogy.
Together, the contributions show how digital resources, experiential methods, and linguistic analysis can strengthen communicative competence, learner agency, intercultural understanding, and evidence-based language teaching.
Volume 2, Issue 3 brings together biomedical and behavioral research on psoriasis biomarkers, lifestyle and personality, natural seed extracts, urinary tract infection and antimicrobial resistance, and other dimensions of health and wellbeing. The issue also includes studies in language and metaphor, English program development, international relations, industrial production, artificial intelligence, cloud systems, finance, compliance, and climate-related practice.
Collectively, these contributions illustrate how biological evidence, lifestyle factors, education, policy, and digital technologies can inform prevention, professional decision-making, and more responsive approaches to individual and societal wellbeing.
Volume 2, Issue 1 presents interdisciplinary research spanning language education, marine-derived health compounds, antenatal care and gender, regional conflict, smart-campus cybersecurity, academic information behavior, food and beverage science, and open distance learning. The contributions connect evidence from South Asia with comparative and internationally relevant perspectives.
Together, the studies show how educational practice, public health, digital infrastructure, social policy, and knowledge access interact in efforts to improve human wellbeing, institutional capability, and inclusive development.
Volume 1, Issue 1 brings together research on sustainable agriculture, climate and environmental security, water-quality biosensing, library automation, e-learning analytics, and data-intensive computing. The issue also encompasses biofuels, cloud-enabled machine learning, financial technology, cybersecurity, and organizational applications of emerging technologies.
Collectively, these contributions demonstrate how education, environmental science, information systems, and applied technology can support resilient institutions, sustainable resource use, and evidence-informed development across diverse contexts.
Volume 2, Issue 2 examines innovation in education through virtual exchange, flipped learning for English for Specific Purposes, ICT-supported reading, language awareness, learner practice, speech and communication, and digitally mediated collaboration. Its broader interdisciplinary portfolio also addresses artificial intelligence, software and security engineering, digital health, marketing, finance, and automation.
Across these domains, the issue highlights how technology-supported methods can expand access, strengthen learner engagement, improve professional practice, and translate data-driven innovation into practical educational and organizational outcomes.
Copyright: © The Author(s), 2024. Published by Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.