Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 21
Опубликована: Апрель 4, 2025
Язык: Английский
Asia Pacific Journal of Education, Год журнала: 2024, Номер 44(1), С. 45 - 60
Опубликована: Янв. 2, 2024
For student teachers' professional development, the emergence of generative artificial intelligence (AI) represents both opportunity and challenge. This exploratory quasi-experimental study aims to investigate effects "Human-Human" "Human-Machine" collaborative learning approaches on SETM teaching training performance teachers. Twenty-three teachers were divided into two groups within a single class, each adopting one method. The experiment lasted for months with weekly three-hour sessions. Data analysed focusing critical thinking, performance, cognitive load between groups. results indicated that using ChatGPT showed higher thinking systematicity, task completion efficiency, experienced lower load. Student paired in-service slightly outperformed those final design proposal. These findings underscore potential varying strengths AI tools like human further research, refined scaffolding are recommended explore impact AI-assisted teacher-involved collaboration. study's implications could guide educators, policymakers, developers in optimizing AI-enhanced strategies shed light new formation human-machine scope education.
Язык: Английский
Процитировано
24
Education Sciences, Год журнала: 2024, Номер 14(7), С. 744 - 744
Опубликована: Июль 6, 2024
As artificial intelligence (AI) becomes increasingly prevalent, it has become a topic of interest in education. The use AI education poses complex issues, not only terms its impact on teaching and learning outcomes but also the ethical considerations regarding personal data individual needs each student. Our study systematically analyzed empirical research primary education, specifically for children aged 4–12 years old. We reviewed 35 articles indexed SCOPUS, filtered them according to Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, them, categorized findings. focused studies’ objectives, content, outcomes, activities, pedagogy activities or tools. categorization resulted three main categories objectives creation, implementation, evaluation tools five content: ML (machine learning) concepts STEM STEAM, language learning, mathematics, arts, various other subjects. were split into four categories: apply, engage, interact, use; project-based with multiple activities; experience practice; students as tutors. levels: cognitive, affective, psychomotor. falls constructivism, experiential AI-assisted learning. implications teacher professional development are discussed.
Язык: Английский
Процитировано
22
Brain Sciences, Год журнала: 2025, Номер 15(2), С. 203 - 203
Опубликована: Фев. 15, 2025
Background/Objectives: This systematic review integrates Cognitive Load Theory (CLT), Educational Neuroscience (EdNeuro), Artificial Intelligence (AI), and Machine Learning (ML) to examine their combined impact on optimizing learning environments. It explores how AI-driven adaptive systems, informed by neurophysiological insights, enhance personalized education for K-12 students adult learners. study emphasizes the role of Electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS), other tools in assessing cognitive states guiding AI-powered interventions refine instructional strategies dynamically. Methods: reviews n = 103 papers related integration principles CLT with AI ML educational settings. evaluates progress made neuroadaptive technologies, especially real-time management load, feedback multimodal applications AI. Besides that, this research examines key hurdles such as data privacy, ethical concerns, algorithmic bias, scalability issues while pinpointing best practices robust effective implementation. Results: The results show that significantly improve Efficacy due managing load automatically, providing instruction, adapting pathways dynamically based data. Deep models Convolutional Neural Networks (CNNs), Recurrent (RNNs), Support Vector Machines (SVMs) classification accuracy, making systems more efficient scalable. Multimodal approaches system robustness mitigating signal variability noise-related limitations combining EEG fMRI, Electrocardiography (ECG), Galvanic Skin Response (GSR). Despite these advances, practical implementation challenges remain, including considerations, security risks, accessibility disparities across learner demographics. Conclusions: are epitomes redefinition potentials solid frameworks, inclusive design, scalable methodologies must inform. Future studies will be necessary refining pre-processing techniques, expanding variety datasets, advancing developing high-accuracy, affordable, ethically responsible systems. future AI-enhanced should inclusive, equitable, various populations would surmount technological dilemmas.
Язык: Английский
Процитировано
2
Sustainability, Год журнала: 2022, Номер 14(18), С. 11389 - 11389
Опубликована: Сен. 10, 2022
Over the past three decades, Technology Acceptance model (TAM) has garnered considerable attention in higher education. COVID-19 boosted development of TAM as multiple studies were rapidly undertaken during pandemic. This, however, created a gap our current understanding directions and trends advancement. The purpose this study is to obtain insight into advancement throughout It would assist researchers comprehending direction education, such gaining an prevalent external variables for TAM, statistical analysis employed, research methodologies, technologies studied, geographic location conducted. Finally, gaps future are presented. A systematic review utilizing PRISMA was conducted on 104 sampled publications. found that self-efficacy, subjective norms, experience, enjoyment most frequently used while internal motivation received minimal attention. existing have focused mainly student samples, so further investigation needed lecturers, education personnel, mixed groups. Further also required qualitative methods, with partial least square structural equation currently dominating analysis. Future 5G, AI, cloud computing, augmented reality, virtual BYOD represent new TAM-related gaps. majority been Asian countries, China those southeast Asia. This literature provides trend sustainability pandemic, identified gaps, recommendations directions. These findings serve reference by enhancing foundation established previous reviews thereby facilitating model’s ongoing expansion.
Язык: Английский
Процитировано
54
Sustainability, Год журнала: 2022, Номер 15(1), С. 7 - 7
Опубликована: Дек. 20, 2022
With the emergence of non-fungible tokens (NFTs) in blockchain technology, educational institutions have been able to use NFTs reward students. This is done by automatically processing transaction information and buying selling process using smart contract technology. The technology enables establishment recognition levels incentivizes students receive NFT rewards. According Taxonomy Learning Pyramid, learning through hands-on experiences plays a crucial role attracting students’ interest. In this study, we analyzed potential for education current applications society. We conducted case study performed preliminary investigation types industry. then different industries individual analysis combined with SWOT understand impact, value, challenges applications. results revealed 10 NFT: textbooks; micro-certificates; transcripts records; scholarships rights; master classes content creation; experiences; registration data collection; patents, innovation, research; art; payment; deposit. Finally, ways reduce negative impact on sustainable environment are discussed.
Язык: Английский
Процитировано
41
International Journal of STEM Education, Год журнала: 2023, Номер 10(1)
Опубликована: Ноя. 16, 2023
Abstract Background With the increasing demand brought on by beginning of fourth industrial revolution in period post-digital education and bio-digital technology, artificial intelligence (AI) has played a pivotal role supporting human contributing to intellectuals within science, mathematics (STEM) broader field higher education. Thus, this study examines how writers for mainstream STEM journals magazines perceive impact ChatGPT, powerful AI chatbot, research ChatGPT can generate realistic texts based user prompts. However, platform also poses ethical challenges academic integrity, authorship, publication. Results Using comparative media discourse analysis approach, analyzes 72 articles from four outlets: (a) Springer Nature ; (b) The Chronicle Higher Education (c) Inside Ed (d) Times . results show that expressed various concerns opinions about potential conflicts crises caused three areas: publication; teaching learning; resources management. Conclusions This concludes with some policy implications suggestions future ethics academia reilluminating most overarching related writing limitations blindness authorship integrity among diverse stakeholders.
Язык: Английский
Процитировано
39
International Journal of Emerging Science and Engineering, Год журнала: 2024, Номер 12(8), С. 7 - 12
Опубликована: Июль 27, 2024
In recent years, the global emphasis on STEM (Science, Technology Engineering, and Mathematics) education in secondary schools has grown significantly, driven by recognition of its pivotal role preparing students for complexities 21st-century workforce. transcends traditional disciplinary boundaries, emphasizing critical thinking, problem-solving, innovation—the cornerstones technological advancement economic competitiveness. The present study delves into relevance schools, exploring impact students’ academic development, career readiness, broader societal implications. By examining current research, trends, challenges, future prospects, this investigation aims to provide a comprehensive understanding how equips with essential skills knowledge navigate contribute meaningfully our increasingly STEM-oriented world. This was conducted using survey method 50 school teachers as samples. data were collected opinionnnaire analyzed quantitative descriptive analysis. results revealed that implemented at level helped development higher cognitive abilities learners, such problem solving, creative thinking etc.
Язык: Английский
Процитировано
8
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
1
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
1
Journal of Baltic Science Education, Год журнала: 2024, Номер 23(1), С. 20 - 36
Опубликована: Фев. 28, 2024
STEM education, which includes science, technology, engineering and mathematics, has been expanding for the past two decades. This study aimed to map new trends possibility of implementing digital game-based learning (DGBL) in education. For this purpose, a systematic literature review was conducted. The resulting sample further selected according PRISMA guidelines, with screening eligibility processes conducted based on inclusion criteria defined concerning research objective. consisted twenty-eight studies. findings revealed growing interest DGBL education from 2018 2023. Furthermore, most studies have focused K-12 system universities. According review, educational games simulation technology are promising tools used research. analysis is launched by studying effects that influence increase student motivation teaching support conclusion prior experience gaming positive impact increasing students' learn teaching. In addition, previous knowledge subject increases engagement motivation. Implementing computer games, therefore, showed great students Keywords: learning, students’ motivation,
Язык: Английский
Процитировано
7