Optimizing Expert Rankings with Multiple Regression Analysis DOI Open Access

Et al. A. Abdul Azeez Khan

International Journal on Recent and Innovation Trends in Computing and Communication, Journal Year: 2023, Volume and Issue: 11(9), P. 2085 - 2089

Published: Nov. 5, 2023

The primary goal of this research is to establish a methodology that gives significant weight an expert's qualifications and experience in the expertise ranking process. This aims enhance effectiveness expert identification by taking into account background credentials, thus yielding more realistic rankings. To achieve this, we incorporate details evaluation process assigning assumed values, which are then integrated with their level. These combined factors subsequently utilized as inputs for multiple regression analysis generate optimal experts. By emphasizing significance process, can significantly improve precision our mechanism. Our approach employs identify most suitable subject user query transformation.

Language: Английский

Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis DOI Open Access
Constantinos Halkiopoulos, Evgenia Gkintoni

Electronics, Journal Year: 2024, Volume and Issue: 13(18), P. 3762 - 3762

Published: Sept. 22, 2024

This paper reviews the literature on integrating AI in e-learning, from viewpoint of cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA). review follows PRISMA systematic methodology synthesizes results 85 studies that were selected an initial pool 818 records across several databases. The indicate can improve students’ performance, engagement, motivation; at same time, some challenges like bias discrimination should be noted. covers historic development education, its theoretical grounding, practical applications within PL AA with high promise ethical issues AI-powered educational systems. Future directions are empirical validation effectiveness equity, algorithms reduce bias, exploration implications regarding data privacy. identifies transformative potential developing personalized adaptive learning (AL) environments, thus, it advocates continued as a means to outcomes.

Language: Английский

Citations

62
A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review DOI Creative Commons

G M Dhananjaya,

R. H. Goudar,

Anjanabhargavi Kulkarni

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 34019 - 34041

Published: Jan. 1, 2024

This review delves into using e-learning technology and personalized recommendation systems in education. It examines 60 articles from prominent databases identifies the different methods used systems, such as collaborative content-based approaches with a recent shift towards machine learning. However, current system faces challenges lack of understanding content, student discontinuity, language barriers, confusion selecting study materials, inadequate infrastructure funding. The proposes new digital technologies to address these issues, including Fluxy AI, Twin technology, AI-powered virtual proctoring, Alter Ego. These can create dynamic interactive learning environment, providing tailored experiences for students insights educators provide targeted support guidance. integration improve individualized learning, increase capacity enhance experience speech disorders.

Language: Английский

Citations

11
BC4LLM: A perspective of trusted artificial intelligence when blockchain meets large language models DOI

Haoxiang Luo,

Jian Luo,

Athanasios V. Vasilakos

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: 599, P. 128089 - 128089

Published: June 22, 2024

Language: Английский

Citations

10
The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review DOI Creative Commons
Carlos Merino-Campos

Trends in Higher Education, Journal Year: 2025, Volume and Issue: 4(2), P. 17 - 17

Published: March 26, 2025

The integration of artificial intelligence in education has the potential to revolutionize personalized learning by adapting instructional methods, content, and pace individual needs students. This systematic review investigates into within higher education. An extensive literature search was conducted across multiple databases, yielding 17,899 records from which 45 studies met inclusion criteria. risk bias assessed using a standardized ranking system. follows PRISMA guidelines ensure transparency study selection, data extraction, synthesis. findings are synthesized examine how AI-driven solutions enhance adaptive learning, improve student engagement, streamline administrative processes. results indicate that AI technologies can significantly optimize educational outcomes tailoring content feedback learner needs. However, several challenges persist, such as ethical concerns, privacy issues, necessity for effective teacher training support technology integration. analysis reveals considerable transform practices, while also emphasizing importance establishing evaluation frameworks conducting longitudinal studies. implications these critical educators, policymakers, university administrators aiming leverage innovation sustainable transformation.

Language: Английский

Citations

2
Digital learning initiatives forging inclusive education in post-conflict nations DOI Creative Commons
Siddiqullah Barikzai, S. Vijayakumar Bharathi, Arif Perdana

et al.

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 29, 2025

Language: Английский

Citations

0
Teachers in the metaverse: the influence of avatar appearance and behavioral realism on perceptions of instructor credibility and teaching effectiveness DOI
Manuel B. Garcia

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Feb. 11, 2025

Language: Английский

Citations

0
Methods and Tools for Implementing Educational Web Projects in Social Media on the Internet DOI
Olha Trach

Studies in systems, decision and control, Journal Year: 2025, Volume and Issue: unknown, P. 245 - 267

Published: Jan. 1, 2025

Language: Английский

Citations

0
Generative AI as a Tool for Personalized STEAM K-12 Education DOI
Abdesselam Bougdira,

Ghadah Al Murshidi

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 387 - 410

Published: March 13, 2025

This chapter delves into the transformative impact of generative AI on personalized STEAM education. It explores how technologies are integrated education to deliver learning experiences that cater individual student needs. The benefits highlighted, including enhanced engagement, improved outcomes, greater accessibility, and stimulation creativity innovation. also examines challenges deploying in education, such as resource limitations, data privacy concerns, algorithmic biases, need for educator training. Future trends explored, focusing advancements AI-driven virtual classrooms, adaptive technologies, ethical considerations. By harnessing AI, can be scaled a broader audience, delivering equitable, high-quality prepare students complexities contemporary society.

Language: Английский

Citations

0
Natural Language-Driven Data Visualization Using Kestrel AI: A Novel Algorithm for Intelligent Analytics DOI
Veerababu Reddy,

N. Veeranjaneyulu

Published: April 8, 2025

Abstract Generative AI in financial analytics is increasingly vital for interpreting vast, complex datasets to guide strategic decisions dynamic, real-time markets, yet its technical complexity often limits non-expert engagement. Traditional methods, rooted structured query language (SQL), depend heavily on specialized expertise, restricting access business analysts and decision-makers lacking programming skills. These conventional systems achieve 75 percent 80 accuracy simple queries but falter significantly with complex, nested conditions or multi-operator logic, diminishing their utility today’s fast-paced landscape. We present Kestrel AI, a pioneering algorithm harnessing advanced Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG) convert natural into precise SQL commands insightful visualizations. With modular, scalable architecture HighChart integration, delivers an outstanding 92 average accuracy, substantially outperforming traditional approaches across diverse types, from basic intricate. Experimental validation shows execution times averaging 0.3 seconds, highlighting speed efficiency, while user studies reveal 85 of participants, spanning seasoned complete novices, commend intuitive interface rapid insight delivery. The system adeptly processes unstructured data, allowing users blend thorough analysis, adapts seamlessly market shifts. By simplifying data interactions enhancing access, fosters inclusive, data-driven decision-making contexts. This work sets new standard generative AI-driven analytics, offering transformative tool investment research, organizational collaboration that bridges barriers user-friendly design.

Language: Английский

Citations

0
Technologies for physical education of university students in online education: Systematic literature review DOI

V. GRYNOVA

Health Technologies, Journal Year: 2025, Volume and Issue: 3(1), P. 26 - 35

Published: Feb. 27, 2025

Background and purpose The aim of this research is to investigate the effectiveness various technologies in facilitating physical education for university students online learning environments, addressing key issue how digital tools can enhance engagement activity levels among who are traditionally accustomed in-person instruction; thoroughly address problem, qualitative data from student feedback quantitative on outcomes will be required. This article investigates within crucial instruction. Material methods We analyzed sources scientific literature problem teaching exercises using four leading databases: Scopus, Web Science, PubMed, Google scholar. used EQUATOR network (Enhancing QUAlity Transparency Of health Research) recommendations select empirical studies PRISMA theoretical papers (systematic reviews meta-analyses). analysis was conducted following keywords: education, students, online, teaching, technologies. total number provided by databases topic 4782. At next stage, we selected most suitable works topic. inclusion criteria our systematic review were: 1 - a match at least two keywords, 2 randomized control with determination reliability differences between groups, 3 diagnostic studies. excluding that only assessment parameters under study without data, showed percentage changes as statistical determining differences, relying basic conceptual provisions. Through mixed-methods approach, incorporating analyses outcomes, reveals specific technologies, such interactive fitness applications virtual reality platforms, significantly improve both students' their levels. Results Notably, findings indicate personalized adaptive experiences foster sense community motivation, which often lacking educational settings. implications these profound context healthcare, increasing may contribute improved overall reduced disparities. underscores necessity integrating innovative technological solutions into curricula promote better practices young adults. Conclusions By identifying effective strategies enhancing contributes valuable insights fields promotion, public health, suggesting leveraging play pivotal role cultivating more physically active generation, even face evolving modalities.

Language: Английский

Citations

0