Copertina

Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bush, Annika, Alibakhshi, Amin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Human-Computer Interaction Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

XR Design Framework for Early Childhood Education
di: Khadka, Supriya, et al.
Pubblicazione: (2026)

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
di: Yang, Xinming, et al.
Pubblicazione: (2025)

Implementation of Augmented Reality as an Educational Tool for Practice in Early Childhood
di: Uriawan, Wisnu, et al.
Pubblicazione: (2025)

Framework for Adoption of Generative Artificial Intelligence (GenAI) in Education
di: Shailendra, Samar, et al.
Pubblicazione: (2024)

Closing the Block-to-Text Gap: A Domain-Specific JavaScript Editor for Early Computational Thinking
di: Enea, Andrei
Pubblicazione: (2025)

Embedding Privacy in Computational Social Science and Artificial Intelligence Research
di: Jones, Keenan, et al.
Pubblicazione: (2024)

Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
di: Stamper, John, et al.
Pubblicazione: (2024)

Tinker Tales: Interactive Storytelling Framework for Early Childhood Narrative Development and AI Literacy
di: Choi, Nayoung, et al.
Pubblicazione: (2025)

Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap
di: Sokol, Kacper, et al.
Pubblicazione: (2025)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
di: McIntosh, Timothy R., et al.
Pubblicazione: (2024)

Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa
di: Boateng, George, et al.
Pubblicazione: (2023)

The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models
di: Ruf, Boris, et al.
Pubblicazione: (2024)

Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators
di: Ravi, Prerna, et al.
Pubblicazione: (2025)

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
di: Gautam, Sanjana, et al.
Pubblicazione: (2026)

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
di: Ramineni, Vishnu, et al.
Pubblicazione: (2025)

Making Data: The Work Behind Artificial Intelligence
di: Braz, Matheus Viana, et al.
Pubblicazione: (2024)

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses
di: Liu, Chang, et al.
Pubblicazione: (2025)

Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets
di: Thorne, Simon
Pubblicazione: (2024)

Human-centered Geospatial Data Science
di: Kang, Yuhao
Pubblicazione: (2025)

Large Language Models in Teaching and Learning: Reflections on Implementing an AI Chatbot in Higher Education
di: Caccavale, Fiammetta, et al.
Pubblicazione: (2026)

The Moral Gap of Large Language Models
di: Skorski, Maciej, et al.
Pubblicazione: (2025)

Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
di: Naik, Suchismita, et al.
Pubblicazione: (2025)

A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction
di: Nancy, Otero, et al.
Pubblicazione: (2024)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
di: Ferrara, Emilio
Pubblicazione: (2023)

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not)
di: Bingley, William J., et al.
Pubblicazione: (2024)

"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education
di: Zhou, Kyrie Zhixuan, et al.
Pubblicazione: (2024)

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts
di: Gurdil, Hatice, et al.
Pubblicazione: (2025)

Large Language Models for Education: ChemTAsk -- An Open-Source Paradigm for Automated Q&A in the Graduate Classroom
di: Perez, Ryann M., et al.
Pubblicazione: (2025)

Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities
di: Boateng, George
Pubblicazione: (2024)

Artificial Intelligence for Inclusive Engineering Education: Advancing Equality, Diversity, and Ethical Leadership
di: Ibrahim, Mona G., et al.
Pubblicazione: (2026)

Artificial Intelligence as a Training Tool in Clinical Psychology: A Comparison of Text-Based and Avatar Simulations
di: Sawah, V. El, et al.
Pubblicazione: (2025)

Artificial Intelligence Can Emulate Human Normative Judgments on Emotional Visual Scenes
di: Romeo, Zaira, et al.
Pubblicazione: (2025)

The Role of Legal Frameworks in Shaping Ethical Artificial Intelligence Use in Corporate Governance
di: Mirishli, Shahmar
Pubblicazione: (2025)

The Impact of Large Language Models on K-12 Education in Rural India: A Thematic Analysis of Student Volunteer's Perspectives
di: Goyal, Harshita, et al.
Pubblicazione: (2025)

Evaluating Large Language Models in Theory of Mind Tasks
di: Kosinski, Michal
Pubblicazione: (2023)

TRACE: AI-Assisted Assessment of Collaborative Projects in Computer Science Education
di: Yu, Songmei, et al.
Pubblicazione: (2025)

CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
di: Feng, Ty, et al.
Pubblicazione: (2024)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
di: Jacobs, Sven, et al.
Pubblicazione: (2024)

Students' Acceptance of Arduino Technology Integration in Student-Led Science Inquiry: Insights from the Technology Acceptance Model
di: Ga, Seok-Hyun, et al.
Pubblicazione: (2025)

Artificial Intelligence in Spanish Gastroenterology: high expectations, limited integration. A national survey
di: Crespo, Javier, et al.
Pubblicazione: (2026)