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113 articles for “learner”
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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An Analytical Study on Learning Difficulties in Estimation Theory Among Undergraduate Engineering Students
Abstract: Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators. However, undergraduate students frequently struggle with its abstract properties, complex derivations, and prerequisite statistical concepts. This study investigates the key learning difficulties faced by students across multiple engineering branches using diagnostic tests, structured questionnaires, and interviews. The findings reveal that students commonly experience challenges related to weak probability …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 37–41 Read article
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Today’s Status of Digital Resources in Medical College Libraries
Abstract: Digital resources have become integral to the advancement of medical education and research, enabling access to current scientific evidence, clinical guidelines, e-books, e-journals, and multimedia learning tools. Medical college libraries worldwide are transitioning from traditional print repositories to hybrid digital knowledge hubs. This transformation is driven by the evolution of Information and Communication Technology (ICT), rising expectations of learners and educators, institutional mandates for evidence-based practice, and the diffusion of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 85–94 Read article
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Smart Education in the Context of Puducherry India
Abstract: This paper explores the concept of smart education and presents its conceptual framework in the context of Puducherry. It aims to enhance the understanding of smart education by analysing its fundamental components, including educational challenges, technological innovations, management strategies, policy frameworks, historical evolution, and emerging trends. The adoption of smart education has accelerated significantly in recent years, particularly during the COVID-19 pandemic, when educational institutions worldwide transitioned from traditional classroom-based …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 10–17 Read article
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AI and ML-Driven Immersive Technologies: A New Era in Education
Abstract: The very fast adoption of Artificial Intelligence (AI) and Machine Learning (ML) in education has transformed contemporary teaching and learning ecosystems driven by advances in immersive technologies and the growing engagement of global technology leaders with virtual environments. AI-powered educational platforms enable adaptive and personalized learning pathways by dynamically adjusting content, pace and instructional strategies to learners’ preferences, abilities and learning styles by improving engagement, retention and academic outcomes. Deep …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 116–123 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Design and Implementation of a 4-Bit Breadboard CPU Using Digital Integrated Circuits
Abstract: This paper presents the design and hardware realization of a simple 4-bit CPU built using discrete TTL integrated circuits on a breadboard. The CPU employs a 4-bit common data bus with tri-state buffers for device arbitration, three 4-bit registers (Register A, Register B, and an Output Register) implemented with 74LS175 quad D flip-flops, and a 4-bit ALU for addition/subtraction using a 74LS83 adder and XOR gates. Manual control signals (load, …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 30–42 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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ICT Application in Libraries: E-learning and Virtual Learning Methods-online Courses
Abstract: In today's rapidly evolving digital landscape, libraries have embraced Information and Communication Technology (ICT) applications to revolutionize traditional learning paradigms. This abstract explores the integration of ICT in libraries, particularly focusing on e-learning and virtual learning methods, notably online courses. Through the deployment of digital resources, e-books, and online databases, libraries have transcended physical limitations to offer dynamic educational opportunities. Applications of ICT (information and communication technology) have revolutionized libraries …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 27–33 Read article
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Optimization of Dynamic Load Carrying Capacity of Rolling Contact Bearing by Using TLBO Technique: A Review
Abstract: Rolling contact bearings are widely used in machinery. To deliver excellent performance, the rolling contact bearing has to work efficiently with constraints like strength, long life and high reliability. This work is to optimize the dynamic load carrying capacity of rolling contact bearing for efficient performance. Objective function is to maximize dynamic load carrying capacity with given parameters and constrains and Teaching-Learning Based Optimization (TLBO) technique is selected for the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 41–43 Read article
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A Study on Flipped Learning Models in Engineering Pedagogy
Abstract: The aim of this article is to provide an overview of the existing knowledge and application of the flipped learning method within the realm of engineering education. This paper discusses Pedagogical logistics of Flipped learning models in engineering while examining various teaching models used in collegesand universities all over India, especially NITS and IIITs. It has been the mission of the author to focus on the implementation of integration various …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 2, 2023 · pp. 31–35 Read article
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Impact ofSocial Mediaon Learning Motivation
Abstract: The impact of social networking sites on learners’ intrinsic motivation and consequently their academic achievement in the ICT era cannot be overstated. The social media services present seemingly unlimited content sharing and communication opportunities as also they are perilous for students.Effects of usage patterns of social media on the learning motivation in the subject of computer education/ICT of Bachelor of Education students of Haryana state in India have been reported …
Published in Current Trends in Information Technology · Vol. 11, Issue 1, 2021 · pp. 20–25 Read article
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The Effectiveness of e-Learning Process and Design of e-Learning Environments
Abstract: ABSTRACTTheoretical background of the learning researches is important to illustrate the theories and practices which are effective on achieving the educational objectives. The e-learning still needs the studies to respond for inquiries that face expanding and development of this system globally. For example:(a)the disagreements of the researches' findings in e-learning effectiveness on the learning domains achievement (Ruth Clarck, 2007/ Thomas Brus & John Saye and others, 2009), (b) looking for …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 110–133 Read article
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A Study to Find the Relationship Between Perception of Empowerment and Academic Satisfaction Among Nursing Students of a Selected Nursing College, Kottayam
Abstract: The aim of this study was to evaluate the perception of empowerment in nursing students, investigate the relationship between this perception and academic satisfaction, and explore the potential associations between demographic variables and empowerment perception among nursing students at a designated nursing college in Kottayam. A descriptive correlational research design was employed, and 140 nursing students from the specified college in Kottayam were selected through convenience sampling. Data was gathered …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 3, 2023 · pp. 19–25 Read article
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Determinants of Teenage Pregnancy and Motherhood in Ethiopia: Analysis of the Ethiopian Demographic Health Survey 2016
Abstract: Background: Teenage pregnancy, a global public health problem, especially in developing countries, refers to a pregnancy when teenage girls, aged 13–19 and considered not to have reached legal adulthood, become pregnant and is said to have wide range of subsequent adverse health, economic and social outcomes. In Ethiopia, where marriage is a universal occurrence, the Federal Democratic Republic of Ethiopia ministry of health is working to alleviate the problem, though …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 47–53 Read article
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AirDraw: Gesture-Driven Sketching for Immersive Design Interfaces
Abstract: AirDraw represents a transformative advancement in artificial intelligence, creating fluid touch-free human-computer interfaces through real-time interpretation of hand gestures as precise design control signals. This paper introduces AirDraw—a revolutionary webcam-powered virtual canvas that redefines creative workflows and educational interactions. Particularly valuable for design students prototyping ideas, senior creators exploring digital art, and users with motor impairments who find traditional peripherals challenging, AirDraw delivers truly inclusive technology access. Unlike conventional gesture …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 32–41 Read article
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Teaching Methods of Programming Using Robots: A Review
Abstract: AbstractTeaching programming to beginners is a troublesome errand because of the unpredictable way of the subject, the negative generalizations are related with programming, and because initial programming courses frequently neglect to energize understudy understanding. This review examines the adequacy of utilizing robots as devices in instructing the basic programming and to decide if such innovation can defeat the present hindrances for learners in this specific circumstance. The precise writing survey …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 1, 2017 · pp. 9–19 Read article
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Impact of COVID-19 on Education System: New Educational Scenario
Abstract: COVID-19 is a very fast pandemic worldwide. India’s education sector has also come in the grip of the world. Due to this pandemic, steps like lockdown were taken here. In all, about 32 crore learners from schools and colleges were affectedbecause the educational activities of all the students had stopped. This situation has taught us well that change is inevitable. This period has served as a catalyst forthose institutions which …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 1, 2021 · pp. 1–7 Read article