Solar Radiation Forecasting — State of Art and Methodological Discussion DOI Open Access
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko

et al.

Published: June 4, 2024

Effective solar forecasting has become a critical topic in the scholarly literature recent years due to rapid growth of photovoltaic energy production worldwide and inherent variability this source energy. Due technological econonomic limitations storage solutions, using other, mosty conventional, sources cover shortfalls at same time utilising surpluses becomes necessary. The need optimize systems, ensuring power continuity, balancing supply demand led development various methods approaches based on meteorological data or plant characteristics. This article presents results meta-review literature, including current state knowledge methodological discussion. It comprehensive set methods, evaluates classifications, proposes new synthetic typology. emphasizes increasing role artificial intelligence (AI) machine learning (ML) techniques improving forecast accuracy, alongside traditional statistical physical models. explores challenges hybrid ensemble models, which combine multiple enhance performance. paper addresses emerging trends research, such as integration big advanced computational tools. Additionally, from perspective, outlines rigorous approach research procedure, scientific associated with conducting bibliometric highlights best practices principles. includes defining questions, selecting eligibility criteria, search, extraction, synthesis, assessing bias quality. contributes field by providing up-to-date knowledge, along insights trends, future directions, anticipating implications for theory practicce.

Language: Английский

A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour DOI Creative Commons
Melissa Bond, Hassan Khosravi, Maarten de Laat

et al.

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: Jan. 19, 2024

Abstract Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as research domain, never before rapid evolution AI applications education sparked such prominent public discourse. Given already rapidly growing AIEd literature base higher education, now is time to ensure that solid and conceptual grounding. This review reviews first comprehensive meta explore scope nature (AIHEd) research, by synthesising secondary (e.g., systematic reviews), indexed Web Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect ACM Digital Library, or captured through snowballing OpenAlex, ResearchGate Google Scholar. Reviews were included if they synthesised solely formal continuing published English between 2018 July 2023, journal articles full conference papers, had method section 66 publications for data extraction synthesis EPPI Reviewer, which predominantly (66.7%), authors from North America (27.3%), conducted teams (89.4%) mostly domestic-only collaborations (71.2%). Findings show these focused on AIHEd generally (47.0%) Profiling Prediction (28.8%) thematic foci, however key findings indicated predominance use Adaptive Systems Personalisation education. Research gaps identified suggest need greater ethical, methodological, contextual considerations within future alongside interdisciplinary approaches application. Suggestions are provided guide primary research.

Language: Английский

Citations

130
Education reform and change driven by digital technology: a bibliometric study from a global perspective DOI Creative Commons
Chengliang Wang, Xiaojiao Chen, Teng Yu

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Feb. 12, 2024

Abstract Amidst the global digital transformation of educational institutions, technology has emerged as a significant area interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving effectiveness teaching learning. These also ensure sustainability stability education during epidemic. Despite this, dearth systematic reviews exists regarding current state application education. To address this gap, study utilized Web Science Core Collection data source (specifically selecting high-quality SSCI SCIE) implemented topic search by setting keywords, yielding 1849 initial publications. Furthermore, following PRISMA guidelines, we refined selection to 588 articles. Using software tools such CiteSpace, VOSviewer, Charticulator, reviewed these publications identify core authors (such Selwyn, Henderson, Edwards), highly productive countries/regions (England, Australia, USA), key institutions (Monash University, Australian Catholic University), crucial journals field ( Education Information Technologies , Computers & British Journal Educational Technology ). Evolutionary analysis reveals four developmental periods research application: embryonic period, preliminary development exploration, acceleration period change. The highlights dual influence technological factors historical context on topic. is factor enabling transform upgrade, times important driving force promoting adoption new system upgrading Additionally, identifies three frontier hotspots field: physical education, transformation, professional under promotion technology. This presents clear framework for which can serve valuable reference researchers practitioners concerned with theory practice.

Language: Английский

Citations

62
Empowering education development through AIGC: A systematic literature review DOI
Xiaojiao Chen, Zhebing Hu, Chengliang Wang

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(13), P. 17485 - 17537

Published: Feb. 29, 2024

Language: Английский

Citations

38
A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies DOI
Peijun Wang, Yuhui Jing, Shusheng Shen

et al.

The Internet and Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 100996 - 100996

Published: Jan. 1, 2025

Language: Английский

Citations

2
Development of a platform for state online education services: Design concept based on meta-universe DOI Creative Commons
Guomin Chen,

Yingwei Jin,

Pengrun Chen

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(17), P. 23605 - 23629

Published: May 29, 2024

Abstract The incorporation of metaverse technology in education, particularly within standardized state educational frameworks, holds promise for significant improvements learning outcomes. This study aimed to assess the effectiveness integrating an online platform into services, thereby fostering development digital environments. A total 278 students from middle and high school levels China participated study. Academic achievement tests, alongside Engagement Level Scale (ELS) Motivation (MLS), were employed as measurement tools. utilization platform, hosting state-approved curriculum seventh tenth grades, resulted notable enhancements students’ academic performance, engagement, motivation. Among graders, most performance observed mathematics (5.897), literature (5.101), history (5.767). For noted Chinese language (7.500), (5.800), chemistry (5.650). Moreover, engagement motivation statistically significant. Seventh graders experimental group exhibited higher intrinsic (6.45), extrinsic (5.28), self-regulation (7.18) compared control group. respective increases 5.70, 4.00, 4.65 each subscale. practical scientific significance lies demonstrating potential enhancing outcomes student through implementation which could be integrated curricula.

Language: Английский

Citations

11
Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends DOI Creative Commons
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3156 - 3156

Published: June 26, 2024

Effective solar forecasting has become a critical topic in the scholarly literature recent years due to rapid growth of photovoltaic energy production worldwide and inherent variability this source energy. The need optimise systems, ensure power continuity, balance supply demand is driving continuous development methods approaches based on meteorological data or plant characteristics. This article presents results meta-review literature, including current state knowledge methodological discussion. It comprehensive set methods, evaluates classifications, proposes new synthetic typology. emphasises increasing role artificial intelligence (AI) machine learning (ML) techniques improving forecast accuracy, alongside traditional statistical physical models. explores challenges hybrid ensemble models, which combine multiple enhance performance. paper addresses emerging trends research, such as integration big advanced computational tools. Additionally, from perspective, outlines rigorous approach research procedure, scientific associated with conducting bibliometric highlights best practices principles. article’s relevance consists providing up-to-date forecasting, along insights trends, future directions, anticipating implications for theory practice.

Language: Английский

Citations

10
Acceptance of or resistance to facial recognition payment: A systematic review DOI Open Access
Teng Yu, Chengliang Wang,

晴子 渡辺

et al.

Journal of Consumer Behaviour, Journal Year: 2024, Volume and Issue: 23(6), P. 2933 - 2951

Published: Aug. 1, 2024

Abstract With increasing evidence supporting the use of biometric identification methods for authentication, this study aims to enhance our understanding factors influencing acceptance and resistance facial recognition payment (FRP) systems. To provide a comprehensive review these factors, we conducted systematic literature (SLR) empirical studies. We examined 22 key research articles from an initial pool 1372 publications, identifying 37 that influence consumer or FRP. These were categorized into usage‐related aspects, attitudes evaluations, user‐related traits, privacy security concerns, other factors. Our findings reveal most frequently cited include performance expectancy, effort perceived usefulness, ease use. are crucial in contexts where FRP can increase productivity by providing prompt information effective assistance. This proposes collective model determinants resistance, integrating theoretical frameworks findings. The emphasizes context‐dependency user acceptance, highlighting importance addressing both technological psychological It incorporates usage characteristics, which mediated evaluations. proposed provides framework FRP, guiding service providers developing strategies adoption, with future needed refine assess further.

Language: Английский

Citations

10
Deciphering the impact of machine learning on education: Insights from a bibliometric analysis using bibliometrix R-package DOI
Zilong Zhong,

Hui Guo,

Kun Qian

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(16), P. 21995 - 22022

Published: May 6, 2024

Language: Английский

Citations

8
Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023 DOI Creative Commons
Xianru Shang, Zijian Liu, Chen Gong

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 31, 2024

The rapid expansion of information technology and the intensification population aging are two prominent features contemporary societal development. Investigating older adults' acceptance use is key to facilitating their integration into an information-driven society. Given this context, adults has emerged as a prioritized research topic, attracting widespread attention in academic community. However, existing remains fragmented lacks systematic framework. To address gap, we employed bibliometric methods, utilizing Web Science Core Collection conduct comprehensive review literature on from 2013 2023. Utilizing VOSviewer CiteSpace for data assessment visualization, created knowledge mappings acceptance. Our study multidimensional methods such co-occurrence analysis, clustering, burst analysis to: (1) reveal dynamics, journals, domains field; (2) identify leading countries, collaborative networks, core institutions authors; (3) recognize foundational system centered theoretical model deepening, emerging applications, evaluation, uncovering seminal observing shift early influential factor analyses empirical studies focusing individual factors technologies; (4) moreover, current hotspots primarily areas influencing adoption, human-robot interaction experiences, mobile health management, aging-in-place technology, highlighting evolutionary context quality distribution themes. Finally, recommend that future should deeply explore improvements models, long-term usage, user experience evaluation. Overall, presents clear framework field acceptance, providing important reference exploration innovative applications.

Language: Английский

Citations

5
Multiple Dimensions of Energy Efficiency of Recycled Concrete: A Systematic Review DOI Creative Commons
Leandro S. Silva, Mohammad K. Najjar, Carina Mariane Stolz

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(15), P. 3809 - 3809

Published: Aug. 2, 2024

The focus on building energy efficiency using alternative materials in structures, especially concrete, and the main technical environmental challenges therein, aligns with Sustainable Development Goals (SDG). This study proposes a review that analyzes structures made recycled relating to of buildings. A classification structure was proposed, addressing following questions: (i) What are various dimensions which research into energy-efficient concrete is concentrated? (ii) themes classes associated these dimensions? (iii) shortcomings current approaches, what would be good agenda for future development concrete? bibliometric analysis carried out, presenting geographical cluster maps understand different trends refine research. followed by bibliographic analysis, reviewing most relevant studies from last five years (2019–2024). results showed some residual (around 45 types industries) used production concrete. And, as negative effect, substitution rates increase, porosity property greatest impact efficiency. greater number pores their interconnection, lower material’s thermal insulation.

Language: Английский

Citations

4