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curriculum

GeneTech 知识引擎共收录 99 篇相关科研实体，横跨 15 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Educating in the Age of GenAI: Exploring AI Literacy Through Mutual Reinforcement in Higher Education
  2026 · AI 安全与对齐 · Generative AI (GenAI) is transforming higher education, prompting institutions to rethink pedagogical practices, governance, and learning experiences. This study addresses this shift by (i) synthesizing recent literature…
• Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education
  2026 · AI 安全与对齐 · This review examines the role of artificial intelligence (AI) agents in programming education, focusing on how these tools are being integrated into educational practice and their impact on student learning outcomes. An …
• AI-enabled learning analytics use relates to physical literacy and engagement in university PE via smart teaching and personalised feedback
  2026 · AI 安全与对齐 · Digital transformation and AI-enabled learning analytics are reshaping higher education, and wearable-enabled analytics are increasingly used in embodied curricula such as university physical education (PE), but empirica…
• AI Integration in Spanish Undergraduate Medical Education: National Cross-Sectional Study.
  2026 · 医疗人工智能 · Background: Artificial intelligence (AI) is reshaping clinical practice and redefining the competencies future physicians will need. International bodies, such as the Association of American Medical Colleges, have called…
• AI-supported case-based learning in medical education: a comprehensive scoping review
  2026 · 医疗人工智能 · Introduction: Recent literature indicates that generative artificial intelligence (GenAI) is also being integrated into case-based learning (CBL) through activities such as clinical case generation, clinical reasoning su…
• Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare
  2026 · 医疗人工智能 · Background/Objectives: Artificial intelligence (AI) is increasingly used in healthcare to support clinical decision-making, patient monitoring, and administrative tasks. Nurses are expected to work with these technologie…
• The role of digital twin technology in nursing practice, education, and research
  2026 · 数字孪生 · Background Digital twin technology, a virtual real-time representation of a physical entity, is gaining traction in healthcare, yet its potential in nursing practice remains underexplored. Objective This review examines …
• Designing AI-powered learning: adult learners’ expectations for curriculum and human-AI interaction
  2025 · AI 安全与对齐 · Abstract Despite the potential benefits offered by GenAI technologies to provide innovative solutions to address distinct challenges faced by working adult learners (ALs) in higher education and beyond, there is limited …
• Digital transformation of nephrology POCUS education—Integrating a multiagent, artificial intelligence, and human collaboration-enhanced curriculum with expert feedback
  2025 · AI 安全与对齐 · Background: The digital transformation in medical education is reshaping how clinical skills, such as point-of-care ultrasound (POCUS), are taught. In nephrology fellowship programs, POCUS is essential for enhancing diag…
• 'HistoChat': Leveraging AI-Driven Historical Personas for Personalized and Engaging Middle School History Education
  2025 · AI 安全与对齐 · Traditional history education often fails to cultivate historical empathy due to rigid curricula and limited opportunities for personalized, emotionally resonant engagement. We explore the potential of LLM-based historic…
• Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions
  2025 · AI 安全与对齐 · Background: Artificial Intelligence (AI) is rapidly transforming the nursing profession, presenting significant opportunities and challenges. Despite its promising potential in enhancing nursing education, clinical pract…
• Which curriculum components do medical students find most helpful for evaluating AI outputs?
  2025 · AI 安全与对齐 · INTRODUCTION: The risk and opportunity of Large Language Models (LLMs) in medical education both rest in their imitation of human communication. Future doctors working with generative artificial intelligence (AI) need to…
• Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20
  2025 · AI 安全与对齐 · ABSTRACT The integration of artificial intelligence (AI) into construction education is transforming how future professionals approach estimation tasks. This study examines the role of Togal AI—an AI‐powered estimation t…
• Promoting inclusive AI and technology in K-12 education: A review of context, instructional strategies, and learning outcomes
  2025 · AI 安全与对齐 · ABSTRACT As artificial intelligence (AI) becomes increasingly integrated into K–12 education, concerns about equity and access have grown. This scoping review explores how inclusive AI curricula are designed, implemented…
• Scaffolding middle school mathematics curricula with large language models
  2025 · AI 安全与对齐 · Despite well‐designed curriculum materials, teachers often face challenges implementing them due to diverse classroom needs. This paper investigates whether large language models (LLMs) can support middle school math tea…
• Artificial Intelligence Education in Radiology Training: A Systematic Review of Effectiveness, Barriers, and Future Directions
  2025 · 医疗人工智能 · RATIONALE AND OBJECTIVES: The purpose of this systematic review study was to characterize the current landscape of various artificial intelligence (AI) education in radiology, summarizing existing curricula, outcomes, ch…
• AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study
  2025 · 医疗人工智能 · BACKGROUND: As health care moves to a more digital environment, there is a growing need to train future family doctors on the clinical uses of artificial intelligence (AI). However, family medicine training in AI has oft…
• Challenges in the Rapid and Responsible Integration of Generative Artificial Intelligence (AI) Into a New Medical School Curriculum
  2025 · 医疗人工智能 · This study describes a systematic approach to integrate generative artificial intelligence (AI) into our new medical education curriculum at the Quillen College of Medicine while maintaining academic integrity. As medica…
• Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study
  2025 · 医疗人工智能 · Abstract Background Artificial intelligence (AI) systems are becoming increasingly relevant in everyday clinical practice, with Food and Drug Administration–approved AI solutions now available in many specialties. This d…
• Institutionalizing convergence education for medical artificial intelligence.
  2025 · 医疗人工智能 · As artificial intelligence (AI) becomes increasingly central to modern healthcare, medical education must move beyond passive knowledge transfer and adopt a system-wide approach to convergence training. This narrative re…
• Insights Into the Future: Assessing Medical Students' Artificial Intelligence Readiness ‐ A Cross‐Sectional Study at Kerman University of Medical Sciences (2022)
  2025 · 医疗人工智能 · ABSTRACT Background Artificial intelligence (AI) has recently advanced in medicine globally, transforming healthcare delivery and medical education. While AI integration into medical curricula is gaining momentum worldwi…
• Guiding principles and considerations for designing a well-structured curriculum for the brain-computer interface major based on the multidisciplinary nature of brain-computer interface.
  2025 · 仿生智能 · Brain-computer interface (BCI) is a novel human-computer interaction technology, and its rapid development has led to a growing demand for skilled BCI professionals, culminating in the emergence of the BCI major. Despite…
• Enhancing Alignment using Curriculum Learning & Ranked Preferences
  2024 · AI 安全与对齐 · Direct Preference Optimization (DPO) is aneffective technique that leverages pairwise preference data (one chosen and rejected response per prompt) to align LLMs to human preferences.In practice, multiple responses could…
• Analysis of college students' attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use
  2024 · AI 安全与对齐 · BACKGROUND: In recent years, the use of artificial intelligence (AI) in education has increased worldwide. The launch of the ChatGPT-3 posed great challenges for higher education, given its popularity among university st…
• PearlAI: Hyperpersonalization and Hyperlocalization as New AI Affordances in Basic Education
  2024 · AI 安全与对齐 · Persistent challenges of engagement, equity, and learning outcomes continue to undermine basic education across Africa and other resource-constrained regions. Traditional curricula and teaching models are often generic, …
• Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan
  2024 · AI 安全与对齐 · This article explores the pivotal intersection of Artificial Intelligence (AI), student engagement, and academic performance in higher education, specifically at Kabul University. As technology evolves, understanding AI'…
• Development of an artificial intelligence curriculum design for children in Taiwan and its impact on learning outcomes
  2024 · 医疗人工智能 · In the digital age, the application of Artificial Intelligence (AI) has become an irreversible trend, with its potential in the field of education being particularly noteworthy. However, there are currently few AI educat…
• Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools
  2024 · 医疗人工智能 · Artificial Intelligence (AI) in Education claims to have the potential for building personalised curricula, as well as bringing opportunities for democratising education and creating a renaissance of new ways of teaching…
• Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine
  2024 · 医疗人工智能 · INTRODUCTION: Artificial Intelligence (AI) has made a profound impact on the medical sector, particularly in radiology. The integration of AI knowledge into medical education is essential to equip future healthcare profe…
• Knowledge, Attitude, and Practices toward Artificial Intelligence among University Students in Lebanon
  2024 · 医疗人工智能 · Background: The expansion of artificial intelligence (AI) across diverse sectors worldwide demands an understanding of its impact on future generations. The studies of its influence on university students’ behavior and a…
• Artificial Intelligence (AI) in academic research. A multi-group analysis of students’ awareness and perceptions using gender and programme type
  2024 · 医疗人工智能 · The era of AI has brought tremendous impact in academic research, and this has provided the impetus for students to leverage on novel tools in carrying out a lot of quality research works. Previous studies have relied so…
• Disruptive technologies in the university curriculum: use of artificial intelligence
  2024 · 医疗人工智能 · The so-called “digital era” is synonymous with the transformation of every aspect of human life. This transformation is given by the development of new technologies that modify the way humans communicate and cooperate. N…
• Utilizing natural language processing to analyze student narrative reflections for medical curriculum improvement
  2024 · 医疗人工智能 · MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improve the student's learning experience to better prepare them for patient care. Many programs utilize end-of-year evaluatio…
• Me, My Brain, and I: A Framework for Neuroscience Curriculum Fostering Research‐Practice Partnership Between Scientists and Educators
  2024 · 脑科学 · Abstract Students' school requirements and learning activities engage many different cognitive processes, including language processing, memory, learning, attention, reasoning, decision‐making, and social interaction. Ho…
• Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme
  2024 · 脑科学 · Neuroscience education is challenged by rapidly evolving technology and the development of interdisciplinary approaches for brain research. The Human Brain Project (HBP) Education Programme aimed to address the need for …
• Enacting inclusive science: Culturally responsive higher education practices in science, technology, engineering, mathematics, and medicine (STEMM)
  2024 · 生命科学 · Novel approaches in higher education are needed to reverse underrepresentation of racial/ethnic groups in science, technology, engineering, mathematics, and medicine (STEMM). Building on theoretical frameworks for practi…
• Generative AI in Computing Education: Perspectives of Students and Instructors
  2023 · AI 安全与对齐 · Generative models are now capable of producing natural language text that is, in some cases, comparable in quality to the text produced by people. In the computing education context, these models are being used to genera…
• Medical students’ perceptions towards artificial intelligence in education and practice: A multinational, multicenter cross-sectional study
  2023 · 医疗人工智能 · Abstract Background Artificial intelligence (AI) is anticipated to fundamentally change the educational and professional landscape for the next generation of physicians, but its successful integration depends on the glob…
• Artificial intelligent based teaching and learning approaches: A comprehensive review
  2023 · 医疗人工智能 · The goal of this study is to investigate the potential effects that Artificial intelligence (AI) could have on education. The narrative and framework for investigating AI that emerged from the preliminary research served…
• Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers
  2023 · 医疗人工智能 · Current and future healthcare professionals are generally not trained to cope with the proliferation of artificial intelligence (AI) technology in healthcare. To design a curriculum that caters to variable baseline knowl…
• Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems
  2023 · 数字孪生 · Anomaly detection is critical to ensure the security of cyber-physical systems (CPS) . However, due to the increasing complexity of attacks and CPS themselves, anomaly detection in CPS is becoming more and more challengi…
• Scoping the AI curriculum: key competencies for future AI practitioners
  2026 · AI 安全与对齐 · Abstract The sustained interest in artificial intelligence (AI) as an area of postsecondary study is evident in growing enrollment figures and in expanded course offerings focusing on subjects like machine learning, natu…
• Correlation Between Artificial Intelligence Literacy and Artificial Intelligence Anxiety in Audiology Students
  2026 · 医疗人工智能 · ABS TRACT Objective: Artificial intelligence (AI) is becoming increasingly important in health sciences.Therefore, it is essential to assess health science students' knowledge, literacy, awareness, attitudes, and anxiety…
• Generative Artificial Intelligence In Health Informatics Education: A Comprehensive Bibliometric Assessment Of Cognitive Outcome Research (2019–2025)
  2026 · 医疗人工智能 · This study provides a comprehensive bibliometric assessment of generative artificial intelligence (GenAI) research in health informatics education, with particular emphasis on cognitive outcomes. A total of 264 PubMed-in…
• Perspective Chapter: Educational Neuroscience for Inclusive Grade 10 Mathematics in Soshanguve Schools, South Africa
  2026 · 脑科学 · Grade 10 Mathematics represents a critical cognitive and curricular transition for learners in under-resourced secondary schools in Soshanguve, Gauteng, South Africa. In this context, persistent socioeconomic inequalitie…
• Reform Pathways and Future Prospects for Undergraduate Education in Coal Chemical Engineering under the New Engineering Paradigm
  2026 · 碳中和与 CCUS · In response to the dual challenges posed by China’s national “dual carbon” (carbon peaking and carbon neutrality) strategy and energy structure transformation, the coal chemical industry is rapidly evolving toward high-e…
• The SAGE framework for developing critical thinking and responsible generative AI use in cybersecurity education
  2025 · AI 安全与对齐 · The rapid advancement of Generative Artificial Intelligence (GenAI) has introduced new opportunities for transforming higher education, particularly in fields requiring critical analysis and regulatory compliance, such a…
• AI ‐Powered Applications’ Effects on English Language Learners’ Cognitive, Metacognitive, and Resource Management Strategies, and Language Achievement
  2025 · AI 安全与对齐 · ABSTRACT Background Generative AI (GenAI) offers scalable feedback and planning support, yet rigorous evidence on how AI‐supported instruction shapes EFL learners' self‐regulated strategies and achievement remains limite…
• The formation of AI Capital in higher education: Enhancing students’ academic performance and employment rates
  2025 · AI 安全与对齐 · The study evaluates the effectiveness of a 12-week AI module delivered to non-STEM university students in England, aimed at building students' AI Capital, encompassing AI-related knowledge, skills, and capabilities. An i…
• Ensuring outcome-based curriculum coherence through systematic CLO–PLO alignment and feedback loops
  2025 · AI 安全与对齐 · This study proposes a quantitative framework to enhance curriculum coherence through the systematic alignment of Course Learning Outcomes (CLOs) and Program Learning Outcomes (PLOs), contributing directly to the continuo…
• A comprehensive review of applications of AI technologies in higher engineering education
  2025 · AI 安全与对齐 · This paper presents a comprehensive narrative review of artificial intelligence (AI) applications in higher engineering education. We examine how AI technologies are reshaping teaching, learning, and assessment in engine…
• From co-design to co-teaching: a comprehensive approach to an integrated AI curriculum in middle school STEM education
  2025 · AI 安全与对齐 · Abstract Co-design and co-teaching are practical approaches for teachers with varying experiences to get involved in integrating AI curriculum with STEM subjects. However, teachers’ limited expertise in co-design and co-…
• The Role of Educational Developers in AI Integration at Scale
  2025 · AI 安全与对齐 · This chapter highlights how AI is reshaping higher education, with educational developers playing a key role in guiding this transition. As AI transforms curriculum design and teaching methods, developers support faculty…
• Refining AI perspectives: assessing the impact of ai curricular on medical students’ attitudes towards artificial intelligence
  2025 · AI 安全与对齐 · This study explores the impact of Artificial Intelligence (AI) curricula on medical students' perceptions of AI, a critical topic given AI's transformative potential in healthcare and its rapid integration into medical p…
• Teachers’ Use of Generative AI in Jordanian Universities: Practices and Perceptions
  2025 · AI 安全与对齐 · The rise of Generative AI tools such as ChatGPT and ChatPDF offers transformative possibilities in English as a Foreign Language (EFL) education. This study investigates how EFL instructors in Jordanian universities perc…
• Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course
  2025 · AI 安全与对齐 · As artificial intelligence (AI) technologies begin to permeate diverse fields-from healthcare to education-consumers, researchers and policymakers are increasingly raising concerns about whether and how AI is regulated. …
• AI Literacy in Preservice Teachers Preparation Programs: Global Meta-Analysis
  2025 · AI 安全与对齐 · The rapid integration of artificial intelligence into education is reshaping how teaching and learning occur, prompting the need for pre-service teachers' programmes to equip future educators with AI literacy. This syste…
• Educating in the Age of AI: Preparing Cambodian Teachers and Students for an AI-Augmented Learning Future
  2025 · AI 安全与对齐 · This current academic explores Cambodia’s readiness to adopt artificial intelligence (AI), particularly generative tools like ChatGPT, in its national education system. It assesses current gaps in teacher training, stude…
• AI policies in school education: a comparative study on China, Singapore, Finland, and the US
  2025 · AI 安全与对齐 · Purpose The purpose of this study is to compare artificial intelligence (AI)-integration strategies in school education across China, Singapore, Finland and the USA, aiming to uncover shared patterns and localized innova…
• Enhancing U.S. K-12 Competitiveness for the Agentic Generative AI Era: A Structured Framework for Educators and Policy Makers
  2025 · AI 安全与对齐 · This paper presents a comprehensive framework for transforming K-12 education through systematic AI integration, addressing critical gaps in curriculum development and teacher preparedness. Drawing from extensive analysi…

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