Voice of the Publisher, Год журнала: 2024, Номер 10(03), С. 284 - 297
Опубликована: Янв. 1, 2024
Язык: Английский
Journal of Digital Educational Technology, Год журнала: 2025, Номер 5(1), С. ep2502 - ep2502
Опубликована: Янв. 2, 2025
The research was conducted to explore the perceptions of gifted students towards artificial intelligence (AI) using a qualitative method and case study design. group comprised 25 from Selçuklu Science Art Center during 2023-2024 academic year, selected through affinity sampling method. Data gathered metaphoric forms semi-structured interviews, content analysis employed for data analysis. findings indicated that primarily used human metaphor when discussing AI. Themes derived metaphors included similarity, potential threats AI, belief in benefits Gifted expressed concern about risks while also highlighting its advantages education. Additionally, majority believed schools would continue operate within an AI-supported education system, although some view AI could make obsolete. According findings, have perception as being advantageous well having risks. Consequently, suggests it be beneficial offer specialized training on responsible utilization realm
Язык: Английский
Процитировано
1
Discover Sustainability, Год журнала: 2025, Номер 6(1)
Опубликована: Янв. 13, 2025
As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods institutional operations. can improve educational outcomes, resource management, long-term sustainability in education, according to this study. The research uses case studies best practices show how AI-driven innovations minimize impact, enhance energy efficiency, customize learning, creating more sustainable inclusive academic environment. document discusses ethics, including data privacy, algorithmic prejudice, the digital divide. It emphasizes need strong ethical frameworks use ethically make decisions with transparency fairness. study also robust rules infrastructure promote integration, protecting student privacy supporting fair access technologies. shows curriculum-building tools educate students future concerns stimulate innovation. prospects difficulties of are critically examined, its potential change traditional roles, performance, maintain profitability. Actionable recommendations educators, politicians, leaders contribute conversation. Focusing on creates framework where technology stewardship intimately connected, ensuring that institutions prosper fast-changing world.
Язык: Английский
Процитировано
1
Advances in educational technologies and instructional design book series, Год журнала: 2025, Номер unknown, С. 1 - 30
Опубликована: Янв. 3, 2025
The utilisation of artificial intelligence (AI) in the field education has witnessed a notable surge recent years, with growth technology. This increase given rise to number ethical issues. study will provide comprehensive examination implications AI education. A bibliometric analysis studies conducted this be through existing literature. allows for numerical relationships between keywords identified and on intersection ethics It also accesses evaluates data such as publications field, countries, authors, publication citation counts, keywords. obtained insight into evolution discourse within academic findings indicate that crucial step development applications is establish clear framework.
Язык: Английский
Процитировано
1
Опубликована: Янв. 16, 2025
This study examines the impact of Artificial Intelligence (AI) on student engagement in virtual learning environments within Bangladesh’s higher education sector, using a mixed-methods approach. The research integrates qualitative interviews with educators, students, and IT professionals, alongside quantitative survey 97 university students. Findings reveal that AI enhances academic performance by improving efficiency simplifying complex tasks. However, concerns about over-reliance AI, diminished critical thinking skills, data privacy issues were prominent. Technical challenges such as inaccurate outputs usability barriers further impede effective adoption. To maximize AI’s potential, recommends fostering thinking, refining tools for accuracy personalization, prioritizing security. These findings offer actionable insights policymakers, developers seeking to integrate effectively into environments.
Язык: Английский
Процитировано
0
Journal of Social and Scientific Education, Год журнала: 2025, Номер 2(1), С. 24 - 41
Опубликована: Фев. 9, 2025
This mixed methods study investigates the factors influencing acceptance and utilization of Artificial Intelligence (AI) tools among students associates in a Philippine higher education institution, using Unified Theory Acceptance Use Technology (UTAUT) model. The reveals that both groups exhibit high familiarity with AI utilize it for various academic tasks, performance expectancy facilitating conditions identified as primary drivers acceptance. employed cross-sectional design an embedded parallel mixed-methods approach. An online survey questionnaire was used to investigate usage associates. findings underscore importance comprehensive training, transparent governance, ethical guidelines foster responsible integration academia. also discusses considerations surrounding AI's use education, emphasizing need implementation maximize its benefits while minimizing potential risks.
Язык: Английский
Процитировано
0
Procedia Computer Science, Год журнала: 2025, Номер 256, С. 284 - 291
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 15 - 30
Опубликована: Март 13, 2025
This study synthesizes research on leadership and technology integration in education, highlighting the crucial role of visionary strategic implementation technological frameworks such as TPACK SAMR. It explores how styles influence adoption, emphasizing need for adaptability situational awareness. The paper examines case studies demonstrating practical applications discusses challenges bridging gap between availability its effective educational integration. underscores importance preparing emerging technologies future challenges, advocating proactive leadership, planning, continuous professional development. findings suggest that successful education depends a dynamic interplay educator empowerment. argues is central to navigating complexities digital environments. various theoretical perspectives understand can effectively address leverage opportunities presented by education. aims contribute discourse theorizing potential strategies approaches creating conducive environment integration, evolving demands age.
Язык: Английский
Процитировано
0
Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 31 - 52
Опубликована: Март 13, 2025
In this comprehensive exploration, the focus lies on incorporation of artificial intelligence (AI) into teacher education programs, highlighting its profound influence different aspects like teaching, learning, curriculum design, assessment, and feedback. Recognizing rapid advancement AI in multiple industries, research underscores crucial importance for educators academics to embrace transformative potential restructuring educational sphere. Educators encounter task equipping students with required skills a world characterized by constant change intricate interconnectedness. However, integrating programs still lacks clear framework appropriate implementation. The current study addresses gap conducting examination challenges opportunities associated preparation programs. Drawing insights from research, proposes structured roadmap effective integration education.
Язык: Английский
Процитировано
0
Advances in Mobile Learning Educational Research, Год журнала: 2025, Номер 5(1), С. 1356 - 1369
Опубликована: Март 18, 2025
This article discusses the prospect of generative artificial intelligence (GenAI) to transform English language teaching (ELT) practices. The briefly remarks on current trends in ELT, including traditional grammar-translation communicative, task-based, post-method, and technology-enhanced approaches. Then, it highlights ELT Nepal with a nuanced discussion unique challenges opportunities posed by diversity potential leveraging technology innovative practices teaching, particularly integration GenAI. foregrounds how different GenAI chatbots, such as ChatGPT, Gemini, Perplexity, stimulate conversational practices, imparting students interactive platforms foster their skills. In addition, strains tools, Quizzes, Diffit, Magic School, help teachers developing resources learning materials facilitate differentiated instruction furnish needs diverse classrooms. Besides benefits also offers ethical concerns, data privacy, equity, access, bias AI algorithms impacting students’ experiences. contributes discourse implying formulating standards for
Язык: Английский
Процитировано
0
Applied Sciences, Год журнала: 2025, Номер 15(8), С. 4204 - 4204
Опубликована: Апрель 11, 2025
Personalized learning resource recommendation is an essential component of intelligent tutoring systems. To address the issue plethora resources and enhance learner experience in systems, systems have been developed to model learners’ preferences. Despite numerous efforts achievements academia industry toward more personalized learning, education tailored individual learners still faces challenges, such as inadequate user representation potential information loss during aggregation multi-source heterogeneous features. In recent years, knowledge-graph-based brought hope for mitigating these issues achieving accurate recommendations. this paper, we propose a novel method based on knowledge graph named Learner-Enhanced Knowledge Graph Attention (LKGA) network. This enhances by extracting collaborative signals, where clicked who same are considered signals concatenated with original features form initial entity set learner. Furthermore, process, each tail has different semantic expressions, attention mechanism used distinguish importance neighbor entities. Additionally, residual connections added hop learner’s from first subsequent reduce loss. We applied proposed LKGA real-world dataset, experimental results fully validate effectiveness our model.
Язык: Английский
Процитировано
0