We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Integrating Environmental Education into English Language Teaching: An AI-Supported Approach
Summary
This conceptual paper proposes a 'Dual Learning Path' framework that integrates environmental themes such as plastic pollution with AI-powered tools in English language teaching, arguing that real-world content anchors motivation and critical thinking while AI tools support personalised learning.
This conceptual paper explores the framework of a "Dual Learning Path" for English language instruction, which integrates environmental themes with AI-powered tools to enhance learner engagement and outcomes. It argues that anchoring language learning in real-world issues like plastic pollution fosters motivation, critical thinking, and social awareness by providing a meaningful context for communication, aligning with CLIL principles. Simultaneously, AI tools are presented as crucial for personalizing learning and promoting autonomy. While the synergy of content and technology offers a transformative approach to L2 education, the paper acknowledges that its success depends on overcoming challenges related to teacher readiness and institutional support.
Sign in to start a discussion.
More Papers Like This
Contextual Teaching and Learning in Learning Environmental Pollution: the Effect on Student Learning Outcomes
This study evaluated contextual teaching and learning approaches for environmental pollution education, finding that connecting plastic pollution and waste concepts to real-world situations significantly improved student comprehension and motivation compared to conventional instruction.
Programme basé sur l’étude collective d’une leçon (Lesson Study) et les applications d'intelligence artificielle pour développer les pratiques enseignantes et les compétences de la pensée réflexive auprès des enseignants de français
This French-language paper evaluates an AI-enhanced lesson study program to develop reflective teaching practices among French language teachers. This is an education research paper with no direct connection to microplastics or environmental health.
Artificial Intelligence as an Aid: Regulating Plastic and Microplastic Pollution
Researchers reviewed how India is tackling plastic and microplastic pollution through legislation and cleanup campaigns, while also examining how artificial intelligence tools could improve monitoring, detection, and regulation of plastic waste. The article argues that AI integration into environmental policy could significantly accelerate progress against this global health and ecological crisis.
The supporting role of Artificial Intelligence and Machine/Deep Learning in monitoring the marine environment: a bibliometric analysis
This review examines the supporting role of artificial intelligence and machine learning in monitoring and managing plastic pollution, covering applications in remote sensing, image-based plastic detection, and predictive modeling of plastic fate. The authors identify deep learning for image classification and satellite-based detection as the most rapidly advancing AI applications in plastic pollution science.
The Use of Artificial Intelligence and Machine Learning in Creating a Roadmap Towards a Circular Economy for Plastics
This paper examines how artificial intelligence and machine learning can help transition the plastics industry toward a circular economy. AI tools can optimize recycling processes, predict material degradation, and identify opportunities to reduce plastic waste before it enters the environment.