AI-Enhanced PBL and Experiential Learning for Communication and Career Readiness: An Engineering Pilot Course

Abstract excerpt

The integration of artificial intelligence (AI) in engineering education presents transformative potential for developing next-generation competencies, yet requires careful pedagogical design to maximize learning outcomes. This study investigates an AI-enhanced instructional model combining problem-based learning (PBL) and content-language integrated learning (CLIL) for 180 telecommunications engineering students....

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• AI in cancer detection
• Cancer Genomics and Diagnostics
• Genetics, Bioinformatics, and Biomedical Research
• Genomics and Rare Diseases
• Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work

61ee4fd7-54ed-5c18-ae21-bbb7fae9cd4a

DOI

10.20944/preprints202507.2686.v1