Search
906 articles for “effective learning”
-
Parsing of Sensory Perception in Oscillatory Networks Through Cross Frequency Coupling of Memory Synchronization: Revelation of Enhanced Learning by Autistic Brain
Abstract: The brain faces many complex problems when dealing with multidimensional signals, which is usually experienced as unitary precepts. We used neuronal spike patterns to determine synchronization dynamics of neuronal activity for computer-generated color patterns in aid of synchronization of neuronal activity for memory formation in autistic subjects. In particular, this gives functional organization of neuronal circuits and interesting relationships between these oscillations and interneuronal coupling that suggest an enhanced mechanism …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 4, Issue 2, 2014 · pp. 9–14 Read article
-
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
-
Electronics and Communication Design of an AI-Powered Smart Chair for Real-Time Multilingual Interaction
Abstract: Revolutionizing the passive listening experience, a smart chair designed for presentation attendees goes far beyond mere cushioning, dynamically adapting to individual posture and offering ergonomic support to combat fatigue during lengthy sessions. Equipped with integrated sensors, these intelligent seats can subtly prompt listeners to adjust their position for optimal comfort and focus, sometimes even providing gentle haptic feedback for key takeaways or to signal important transitions in the presentation. Furthermore, …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 16–29 Read article
-
A Shift in Learning and Intelligence Acquisition: Technologies and Advancements
Abstract: Human intelligence replication by non-living things or objects has created new dimensions of research. With innovations in Artificial intelligence now happening at breathtaking pace, machines are not only learning but thinking for themselves.Artificial intelligence refers to intelligence of a machine and machine learning is one of its subfields. Machine learning involves training, in which large amount of data is fed into algorithms which gives machines the ability to learn how …
Published in Recent Trends in Programming languages · Vol. 5, Issue 3, 2018 · pp. 21–28 Read article
-
Effects of the Embryonic Bisphenol an Exposure on The Postnatal Development, Learning and Memory of Rat Offspring: Fundamental Study
Abstract: We studied the morphologic changes in some organs and changes of learning and memory of the rat offspring after the embryonic bisphenol A exposure. Background: Bisphenol A, widely used as polycarbonate plastics material to manufacture food packaging, toys, glasses, computers, kitchen utensils and medical instruments, is one of the most common endocrine-disrupting chemicals. It is demonstrated that bisphenol A may be mingled with foodstuff and beverage from package and receptacle. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 58–63 Read article
-
Effectiveness of 3-D Printing Technology in Education and Teaching-Learning
Abstract: Education is the key to releasing the true potential of human ingenuity. The emphasis of education should be on both academic and practical, hands-on techniques. It covers the gap between conceptual understanding and real-world execution. 3-D printing, a new educational technology, claims that it will equip pupils for a more technologically advanced future. By incorporating 3-D printing into education, cutting-edge technology is made accessible to ambitious students and future entrepreneurs. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 113–125 Read article
-
FlexEdify: Adaptive Learning Platform
Abstract: FlexEdify is an innovative adaptive learning platform revolutionizing the educational experience by customizing content to meet the unique needs of each student. Utilizing state-of-the-art machine learning algorithms, the system promptly analyzes students' real-time errors, meticulously storing them in a centralized database. This database serves as the cornerstone for adaptive questioning, allowing the platform to dynamically adjust subsequent content based on individual weaknesses. The platform features a user-friendly interface, guaranteeing accessibility …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
-
A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
-
Role of E-Learning based higher education in sustainable development
Abstract: E-learning in higher education can be of great importance in effective life-long learning education for sustainable development in a population of students who are all together full time employees. The aim of this research was to assess the Education of Sustainable Development effectiveness through e-learning in higher education in a case study. The six scope analysed were:• General outlook;• Learning Quality;• Teaching Resources,• Educational tools and Evaluation;• Acquire competences in …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 2, 2020 · pp. 20–23 Read article
-
The Double-edged Sword: Evaluating the Benefits and Challenges of AR and VR in Education
Abstract: Incorporating augmented reality (AR) and virtual reality (VR) into education is transforming traditional learning settings by boosting interactivity, engagement, and accessibility. AR and VR technologies provide immersive experiences that transform theoretical concepts into visual and practical applications, effectively catering to various learning styles. This abstract explores the impact of AR and VR on educational outcomes, examining their applications across various disciplines, including STEM (science, technology, engineering, mathematics), humanities, and vocational …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 5–11 Read article
-
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
-
Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment
Abstract: This paper discusses the impact of adaptive learning on the development of skill and self-learning, and it portrays a methodology framework to design an adaptive learning system that works with industry recruitment objectives. The paper distinguishes different approaches to learning, namely teacher-centric and student-centric, rigid and adaptive, competitive and collaborative, and explains that each learner has their own learning style, preference, and level of knowledge and skill acquisition. The paper …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 1, 2025 Read article
-
Handwritten Sanskrit Word Recognition: A Deep Learning Approach Using AlexNet
Abstract: Handwritten Sanskrit word recognition poses significant challenges due to the intricate structure of the script and the considerable variations in handwriting across individuals. To address these challenges, this research introduces a novel methodology employing transfer learning with the AlexNet convolutional neural network. The study utilized two distinct datasets: a specifically curated Sanskrit word image dataset containing 2616 samples, alongside a broader Devanagari character dataset used for validation purposes. The established …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
-
Revolutionizing Education: Harnessing The Power of AI for Unparalleled Student Learning Advancements
Abstract: In recent years, advances in AI technologies have opened new possibilities for revolutionizing the education landscape. This research work delves into the potential of AI to revolutionize education and propel student learning to unprecedented heights. The study explores the application of AI in various educational contexts and its impact on personalized learning, instructional methodologies, and overall educational outcomes. The materials used in the research encompass academic articles, case studies, and …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 18–25 Read article
-
A Hybrid Software Engineering Teaching Model (HSETM): Integrating Traditional and Contemporary Pedagogical Approaches
Abstract: Software engineering education faces a persistent dichotomy between traditional lecture-based instruction, which effectively delivers theoretical frameworks but inadequately develops practical competencies, and contemporary pedagogical approaches such as problem-based learning (PBL) and flipped learning, which enhance learner engagement but risk weakening theoretical foundations. This study proposes and empirically validates the Hybrid Software Engineering Teaching Model (HSETM), a systematic integration of traditional and contemporary pedagogical methods designed to overcome this dichotomy. Grounded …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 33–43 Read article
-
Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
-
A Review on Smart society and innovations in education
Abstract: Today, discussions over the prospects of digital technology in education are increasingly viewed as part of the larger approach to educational innovation. Despite the fact that education systems and institutions are really not slow to react, important barriers appear to exist. Preventing digital technologies from attaining their complete potential in educational institutions and teaching and learning practices. Learners can learn more effectively, efficiently, flexibly, and comfortably due to the advancement …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 1–5 Read article
-
Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
-
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
-
Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article