Enterprise AI Analysis
AI-Enhanced CLIL for Embodied Learning: Applying the CLPS Framework in Secondary Physical Education
This study demonstrates how AI-enhanced Content and Language Integrated Learning (CLIL) can significantly improve content understanding, language acquisition, and student engagement in Physical Education (PE). By integrating AI tools like NaturalReader and Gliglish within the CLPS framework, learners show high confidence in vocabulary use, task comprehension, and applying physical routines. The combination of embodied movement, collaborative tasks, and digital scaffolding creates a dynamic learning environment, fostering both linguistic and physical skill development while addressing the complex demands of CLIL lesson design.
Executive Impact at a Glance
Our AI-driven analysis reveals significant improvements in key educational metrics, demonstrating the tangible benefits of integrating advanced AI within CLIL frameworks for embodied learning.
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Perceived Content Understanding
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Vocabulary Acquisition Confidence
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Student Engagement & Satisfaction
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
This section explores the integration of Artificial Intelligence tools within the Content and Language Integrated Learning (CLIL) framework, focusing on how AI acts as a mediating scaffold to enhance language and content acquisition, particularly in embodied learning contexts like Physical Education. It highlights AI's role in providing adaptive feedback, personalized pathways, and interactive language practice.
92%
Students reported high confidence in content understanding and task application with AI support.
Enterprise Process Flow
Guided CLIL Task Design
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AI Tool Integration (e.g., NaturalReader, Gliglish)
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Embodied Physical Activity
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Interactive Language Practice
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Enhanced Content & Language Learning
This section delves into the benefits of embodied learning within CLIL, particularly in Physical Education. It examines how physical movement, combined with language use, fosters deeper understanding, improves communicative competence, and increases student motivation and participation, aligning with kinaesthetic and experiential learning theories.
| Feature | Embodied CLIL (PE) | Traditional EFL |
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| Engagement |
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| Language Use |
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| Content Understanding |
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80%
Students expressed high satisfaction with teaching methods and perceived memory retention from embodied lessons.
This section analyzes the application of Fernández Fontecha's Content and Language Processing Sequence (CLPS) model, enhanced by AI, for structured digital integration in CLIL. It details how the CLPS framework, with its modular design, supports sequencing content and language objectives, while AI tools facilitate interactivity, personalization, and scaffolding for diverse learner needs.
AI-Enhanced CLPS Implementation
Context: In a Spanish secondary school, 25 students (aged 13–14) used AI-supported CLPS modules for PE. The modules, focusing on warm-up routines, integrated NaturalReader for pronunciation and Gliglish for interactive practice. Tasks combined classroom and playground activities, allowing students to apply linguistic and physical knowledge.
Outcome: Students showed increased confidence in vocabulary, task comprehension, and designing warm-up routines in English. AI tools were perceived as valuable for pronunciation practice and interactive language use, without replacing teacher guidance. The approach fostered high engagement and motivation, particularly among students with lower initial English confidence.
Calculate Your Potential ROI
Estimate the return on investment for AI integration within your educational initiatives and curriculum development programs.
Annual Savings/Efficiency Gain
Learning Hours Reclaimed
Your AI Implementation Roadmap
A structured approach to integrating AI into your educational framework, ensuring seamless adoption and measurable success.
Pilot Program Design
Define learning objectives, select AI tools, and develop CLPS-aligned modules for a pilot group.
Teacher Training & Integration
Equip educators with skills for AI-enhanced CLIL pedagogy and provide support for technical integration.
Full-Scale Rollout & Monitoring
Expand the program, collect performance data, and refine modules based on student outcomes and feedback.
Continuous Optimization
Leverage AI analytics for ongoing personalization and adapt content to evolving educational standards.
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