Collaborative Uses of GenAI Tools in Project-Based Learning

Education Sciences, Год журнала: 2025, Номер 15(3), С. 354 - 354

Опубликована: Март 12, 2025

Artificial intelligence (AI) is forcing a dramatic transformation of the methods by which we acquire knowledge and engage in collaborative learning. Although there are several studies on how AI can support learning, no published examining students actually collaborate among themselves while interacting with tools. For this study, thirty postgraduate were organized into teams three, each team developed project mainly exploiting responses from ChatGPT, Google Gemini, MS Copilot, as well internet class resources. Each selected specific things (IoT) application area described technologies real-world cases area. Then, delivered report full description their interactions these generative (GenAI) tools presented work class. Additionally, answered an online questionnaire closed- open-ended questions participated focus group discussions. Members collaborated to design prompts using five suggested modes collaboration. Eventually, half exploited all modes, but they mostly liked preferred three modes. On average, teammates initially disagreed 24% time eventually reached agreement. Students appreciated GenAI for quick well-structured responses, natural communication style, broad subject coverage, ability simplify complex topics personalized However, expressed concerns about tools’ inaccurate inconsistent identified key risks, such passive over-dependence, outdated information, privacy issues. Finally, recommended that should provide shared well-organized discussion space prompt asking, allowing members simultaneously view other’s tool’s responses. They also advised source verification proper training ensure remain supplementary rather than primary learning

Язык: Английский

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Innovación educativa con sistemas de aprendizaje adaptativo impulsados por Inteligencia Artificial

Revista Internacional de Pedagogía e Innovación Educativa, Год журнала: 2024, Номер 4(2), С. 343 - 363

Опубликована: Июль 1, 2024

The emergence of artificial intelligence (AI) is transforming education through adaptive learning systems. These systems, based on AI algorithms, personalize the educational experience by adjusting to needs and styles each student. Using techniques such as machine deep learning, they analyze large volumes data generate personalized itineraries, breaking with homogeneous teaching model. Their implementation requires a suitable technological platform, solid infrastructure training teachers in use these tools. benefits are multiple: students receive real-time feedback progress at their own pace, improving motivation effectiveness, while can focus efforts higher value-added tasks obtain valuable information students' progress, facilitating teaching.

Язык: Английский

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Empowering virtual collaboration: harnessing AI for enhanced teamwork in higher education

Educational Technology Quarterly, Год журнала: 2024, Номер 2024(3), С. 337 - 359

Опубликована: Июль 27, 2024

The emergence of Artificial Intelligence (AI) has brought about a significant change in higher education. It led to the adoption more digitally advanced and collaborative models. This paper examines potential AI promoting dynamic virtual teamwork improving collective experience academic world. discusses how tools can be integrated into various sectors teamwork, such as learning, group projects, communication, assessment, research collaboration, administrative efficiency, engagement strategies, continuous feedback mechanisms. provides comprehensive analysis AI's role these areas, showing personalize facilitate complex tasks, streamline provide real-time feedback. Ultimately, this will prepare students for challenges professional world enhance educational efficacy. evaluates significance each sector, offering insights education institutions use technologies create an environment that fosters collaboration. argues strategic integration is crucial equipping with necessary skills competencies evolving digital landscape 21st century.

Язык: Английский

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Advancing Civil Engineering Education: A Systematic Review of Opportunities, Trends, Challenges, and Future Research Directions in Computer-Altered Reality Technologies

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

The increasing complexity of civil engineering demands innovative tools to bridge the gap between theory and practice. Computer-altered reality (CAR) technologies offer immersive environments that enhance learning outcomes. However, education lags behind other disciplines in adopting these technologies. This study systematically reviewed 359 relevant studies from an initial pool 1508 20214 2023 using a nine-step methodology involving keyword optimization, statistical analysis, thematic mapping. method employed was systematic review following PRISMA guidelines. Key opportunities include improved visualization, increased engagement, practical skill building, with 74% reporting enhanced student performance. Trends reveal growing integration artificial intelligence (AI) internet things (IoT) into CAR platforms, enabling adaptive learning. For instance, AI-driven AR overlays improve site inspection accuracy by 36%, while IoT-linked virtual (VR) provides dynamic, contextual training. Comparatively, like mechanical aerospace leverage for design manufacturing simulations, applications are more focused on construction sites structural reflecting unique characteristics. Significant challenges persist, including high implementation costs (68%), insufficient educator training (54%), limited infrastructure (41%). Ethical psychological considerations remain largely unaddressed, 95% overlooking privacy, cybersecurity, long-term impacts, such as VR-induced discomfort. These gaps present critical areas future research ensure responsible integration. Future directions cost-effective solutions, training, interdisciplinary collaborations, focus ethical cybersecurity concerns. Addressing impacts also remains imperative.

Язык: Английский

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Artificial intelligence in gastroenterology: Ethical and diagnostic challenges in clinical practice

World Journal of Gastroenterology, Год журнала: 2025, Номер 31(10)

Опубликована: Фев. 26, 2025

This article discusses the manuscript recently published in World Journal of Gastroenterology , which explores application deep learning models decision-making processes via wireless capsule endoscopy. Integrating artificial intelligence (AI) into gastrointestinal disease diagnosis represents a transformative step toward precision medicine, enhancing real-time accuracy detecting multi-category lesions at earlier stages, including small bowel and precancerous polyps, ultimately improving patient outcomes. However, use AI clinical settings raises ethical considerations that extend beyond technological potential. Issues privacy, data security, potential diagnostic biases require careful attention. must prioritize diverse representative datasets to mitigate inequities ensure across populations. Furthermore, balancing with expertise is crucial, positioning as supportive tool rather than replacement for physician judgment. Addressing these challenges will support responsible deployment AI, through equitable contribution patient-centered care.

Язык: Английский

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The Impact of Personalized Learning on Student Engagement and Achievement in STEAM

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 51 - 78

Опубликована: Март 4, 2025

This chapter analyzes the impact of personalized learning on student engagement and achievement within context STEAM (science, technology, engineering, arts, mathematics) education. Personalized learning, a pedagogical strategy that tailors instructional methods resources to unique needs, talents, interests individual learners, has gained popularity as means create deeper better educational outcomes. dives into theoretical underpinnings individualized evaluates its potential change established teaching approaches in The illustrates how practices, assisted by adaptive technologies, promote active involvement higher levels accomplishment among students. Through case studies examples, this research gives insights might define future instruction, ensuring students not only meet academic standards but also develop skills necessary for innovation creativity 21st century.

Язык: Английский

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Behavioral Dynamics Analysis in Language Education: Generative State Transitions and Attention Mechanisms

Behavioral Sciences, Год журнала: 2025, Номер 15(3), С. 326 - 326

Опубликована: Март 6, 2025

This study proposes a novel approach for analyzing learning behaviors in Chinese language education by integrating generative attention mechanisms and state transition equations. method dynamically adjusts weights models real-time changes students’ emotional behavioral states, addressing key limitations of existing approaches. A central innovation is the introduction loss function, which jointly optimizes sentiment prediction behavior analysis, enhancing adaptability model to diverse scenarios. based on empirical experiments involving student tracking, personalized path modeling. Experimental results demonstrate this method’s effectiveness, achieving an accuracy 90.6%, recall 88.4%, precision 89.3%, F1-score 88.8% tasks. Furthermore, attains satisfaction score 89.2 with 94.3% positive feedback rate, significantly outperforming benchmark such as BERT, GPT-3, T5. These findings validate practical applicability robustness proposed method, offering structured framework teaching optimization dynamic modeling education.

Язык: Английский

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Personalised Learning Experiences in Distance Learning

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 127 - 150

Опубликована: Апрель 8, 2025

This chapter examines the impact of digital transformation on education, focusing how advanced technologies like Experience API (xAPI), Artificial Intelligence (AI), and serious games are reshaping distance learning. The xAPI is highlighted for its ability to capture detailed learning data, enhance analytics, enable creation personalised reports tracking student progress. integration AI, including Machine Learning NLP, explored in context e-learning, showcasing role personalisation, real-time feedback, intelligent tutoring systems. also delves into games, presenting their benefits engagement motivation. Framework Adaptive Serious Games (F4ASG) discussed, demonstrating Analytics AI can effectiveness. Finally, explores these technologies, providing practical insights, examples, strategies creating adaptive experiences education.

Язык: Английский

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Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations

BMC Nursing, Год журнала: 2025, Номер 24(1)

Опубликована: Апрель 18, 2025

To examine faculty perceptions of artificial intelligence (AI) chatbots in nursing education, focusing on their usage patterns, perceived benefits, and limitations. A cross-sectional study. The study surveyed from Jordan the United States using a self-reported questionnaire. Data were analyzed descriptive statistics Multivariate Analysis Covariance to assess variations based AI chatbot frequency characteristics. Among 474 members, 82.5% familiar with at least one chatbot. Faculty generally acknowledged benefits chatbots, including enhanced teaching experiences, improved student engagement, support for independent learning, quick access medical knowledge. However, concerns about misinformation, reduced faculty-student interaction, inadequacies addressing complex clinical scenarios prevalent. Legal ethical issues, particularly risk misuse AI-generated information, also highlighted. Frequent users demonstrated significantly greater awareness both advantages limitations compared infrequent users. challenges highlighting role hands-on experience shaping adoption. adoption is primarily driven by rather than limitations, emphasizing need showcase practical while concerns. enhance institutions should focus demonstrating through targeted training guidelines. Providing structured exposure can increase confidence, reinforcing usefulness strategies mitigate Future research may effectiveness programs behaviors, providing valuable insights enhancing integration education.

Язык: Английский

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Mapping the Landscape of Generative Artificial Intelligence in Learning Analytics: A Systematic Literature Review

Опубликована: Янв. 1, 2025

Язык: Английский

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