Skip to content
Conference Open access

Generative Artificial Intelligence Restructuring the Education Model: The Science Learning Modes for Pupils

2026 · SHS Web of Conferences · 0 citations · 14 references

TL;DR

This study explores the relationship between ChatGPT and science learning modes for pupils based on a detailed review of established literature and finds that GAI is positively associated with many educational outcomes.

Abstract

Currently, generative artificial intelligence (GAI) has developed rapidly, while science education is a key part of the artificial intelligence (AI)-transformed modern society. Thus, the issue of combining AI with science education has become a hot topic of focus for educational researchers. Several researchers have investigated the applications and challenges of ChatGPT in middle and high schools. However, there is still a knowledge gap in the changes of learning modes for students in primary schools in the age of AI. Therefore, this study explores the relationship between ChatGPT and science learning modes for pupils based on a detailed review of established literature. The review finds that GAI is positively associated with many educational outcomes. For instance, teachers use GAI to prepare personalized learning materials, engage in interactive dialogue during the students’ learning phases, and provide effective feedback in time. The broad application of GAI helps students’ learning process transform from rigid memorization to active exploration. It can also improve the cultivation of scientific thinking and abilities of “observation - inquiry - exploration - conclusion”.

Read PDF

Similar papers

Jul 2026

The Contribution of Generative Artificial Intelligence as a Novice Learner to Students in the Learning by Teaching Model

GAI as a novice learner is introduced into the LbT model, assigning it the role of a novice learner and theoretical and practical evidence for reconstructing the roles of generative artificial intelligence in instructional contexts is provided.

Hai-Yan Wang, Cong-Yao Wang, Jiawen Liu et al. · 0 citations
Open access Jul 2026

The Role of Generative AI (ChatGPT) in Computer Science Education

The paper concludes that ChatGPT should serve as a complementary educational tool rather than a replacement for educators, and proper institutional policies, AI literacy, and ethical guidelines are essential to maximize its educational benefits while minimizing associated risks.

Chethan Tr, D. N., Soumya et al. · 0 citations
Review Open access Aug 2026

Rethinking Higher Education Pedagogy for Generation Z: Strategies, Challenges, and Theoretical Perspectives on Artificial Intelligence Integration

AI has the highest potential in education when it is used to complement rather than to replace human instruction, and when universities combine technology use with training in critical thinking, digital ethics, and self-control.

Sunny Seth, Disha Grover · 0 citations
Review Open access Aug 2026

REIMAGINING TEACHER EDUCATION FOR THE AGE OF ARTIFICIAL INTELLIGENCE AND HUMAN-CENTRED PEDAGOGY

Artificial Intelligence (AI) is rapidly transforming educational practices and challenging conventional understandings of teaching, learning and teacher professionalism. The emergence of generative AI, intelligent tutoring systems, adaptive learning platforms and AI-supported assessment has created new possibilities fo...

Pragyan Mohanty, Pranay Pandey · 0 citations
Open access Aug 2026

The impact of generative artificial intelligence on language teaching and learning

GenAI is positioned as a transformative force in language education that offers technological innovation and new frameworks for inclusive, responsive, and emotionally attuned instruction.

Abderahman Rejeb, Karim Rejeb, Heba F. Zaher et al. · 0 citations
Open access Aug 2026

Revolutionizing Education: Analyzing the Transformative Potential of Generative AI in Learning Environment

ChatGPT has rapidly gained popularity among educators and learners, demonstrating its potential to facilitate interactive learning, personalized assistance, and academic support, and the need for guidelines, digital literacy, and ethical frameworks to ensure productive and balanced use of AI in education.

Anuradha Dwivedi, Pragati Pandey, Naveen Mni · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.