Audi Husen Mustofa
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Data science / Education

Developing a Machine Learning Learning Path for Bengkel Koding

Developing practical labs, video walkthroughs, and visual explanations for a machine learning learning path accessed by over 80 learners.

Developing a Machine Learning Learning Path for Bengkel Koding

The Problem

Students taking Bengkel Koding courses often struggle with Machine Learning materials that are highly theoretical, code-heavy, and lack clear visual explanations.

My Contribution

As the curriculum team lead, I analyzed common student learning challenges and coordinated the team to develop a more accessible learning experience. We structured end-to-end labs, and I created instructional video walkthroughs and visual diagrams to connect theoretical concepts with practical code.

Results

The learning path was published on the LMS and accessed by more than 80 learners. I also established content quality guidelines and iterated on the materials to make concepts easier to understand.

Reflection

This experience taught me that effective learning materials require empathy, clear communication, and the ability to turn abstract ideas into practical learning activities.

Built with
Learning DesignInstructional VideosVisual Diagrams
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