Skip to content

[Construction of an artificial intelligence-enabled closed-loop teaching model for Microbiology Experiments].

Jul 2026 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · Vol 42 7, pp. 3356-3365 · 0 citations
Medicine

TL;DR

This model is expected to overcome the limitations of conventional teaching methods, such as heavy reliance on equipment, safety concerns, and a lack of individualized guidance, thereby offering theoretical support and a practical paradigm for the intelligent transformation of microbiology laboratory teaching.

View source

Similar papers

#generative ai Open access Sep 2026

The Use of Artificial Intelligence in Learning: Opportunities and Challenges in the Digital Era

The findings show that AI offers transformative opportunities in facilitating personalized learning, real-time feedback, the automation of formative assessment, and efficiency in designing educational content, and faces substantial ethical and pedagogical challenges.

D. Sumantri · 0 citations
Review Open access Sep 2026

Innovative Artificial Intelligence-Based Technologies in Teaching Natural Sciences

The article provides a theoretical and analytical review of how the latest developments based on artificial intelligence (AI) complement the methodological tools of a natural science teacher. Two facts testify to the relevance of the topic: generative and adaptive AI services have already firmly established themselves...

G. Lovas · 0 citations
Review Open access 2026

Artificial Intelligence in Integrated Science Education: Opportunities, Challenges, and Future Directions

The review indicates that AI can support personalized and adaptive learning, virtual laboratories, scientific inquiry, immediate feedback, intelligent assessment, and teacher decision-making, but effective integration is constrained by inadequate digital infrastructure, limited teacher preparedness and AI literacy, dat...

O. O., Dike Obiageri Ijioma, Okanume Chioma M. et al. · 0 citations
Open access Sep 2026

Leveraging on Technologies Driven by Artificial Intelligence to Improve Planning in the Teaching and Learning Process

The use of artificial intelligence (AI) in education is transforming the planning and delivery of learning processes. Traditional learning planning often faces challenges in meeting diverse learning needs, maximizing the use of resources and maintaining continuous adaptability to changing learning environments. Syst...

Oju Onuoha · 0 citations
Open access 2026

Research on the Integration and Innovative Application of Artificial Intelligence Technology in Mechanical Engineering Teaching

: The rapid development of artificial intelligence (AI) technology has brought new possibilities for the systemic transformation of mechanical engineering education. Based on the teaching characteristics and era challenges of the mechanical engineering discipline, this paper systematically explores the integration path...

Yu Zhu · 0 citations

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