Integrating No-Code AI in Non-Technical Higher Education
Practical Solutions and Value
Recent developments in ML underscore its ability to drive value across diverse sectors. To make ML more accessible to non-STEM students, a case-based approach utilizing no-code AI platforms was introduced in a university course, catering to students from varied educational backgrounds.
Exploring “Lightweight” AI in Education
Practical Solutions and Value
“Lightweight” AI platforms, also known as no-code AI, have emerged, enabling individuals without extensive technical skills to develop and deploy ML models. This approach allowed students to engage with AI technology directly, helping them understand its role in organizational value creation without needing a deep understanding of the underlying algorithms.
Methodology for Evaluating No-Code AI in Education
Practical Solutions and Value
A group-based project approach was implemented to explore no-code AI in education, allowing students to tackle real-world problems and engage in collaborative activities. The evaluation involved analyzing student feedback, written assignments, AI model outputs, and teacher observations, with thematic analysis revealing the benefits and challenges of using no-code AI tools in educational settings.
Implementing No-Code AI in Education: A Case Study on Teaching Machine Learning
Practical Solutions and Value
The educational module included a 3-hour workshop on ML and a no-code AI platform, focusing on practical data handling and problem-solving. The no-code method enhanced students’ awareness of data quality and problem-solving over coding skills.
Concluding Discussion
Practical Solutions and Value
The study recommends a problem-centered approach for integrating no-code AI into higher education, offering guidance for instructors. The contribution includes practical advice for educators and insights into leveraging evolving no-code tools for educational purposes.
If you want to evolve your company with AI, stay competitive, use for your advantage Enhancing Machine Learning ML Education Through No-Code AI: Integrating Lightweight AI Tools in Non-Technical Higher Education Programs.
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