Laiba Arif

Laiba Arif

Laiba Arif is a Technical Content Writer at Makers' Muse, covering STEM education, robotics, and research based learning. She holds a Master's in Zoology and a B.Ed in Education, with 5+ years of experience writing SEO driven content for STEM platforms. Before writing, she worked directly with school students, running hands on STEM workshops - experience that now shapes how she explains science and technology to students, parents, and educators.

147 articles written

Articles by Laiba Arif

Read more about the article Powering Screen-Free STEM Education for 5,000 Preschool Teachers in Vietnam with KidsEdu
Screen-free STEM education helps preschool teachers create hands-on learning experiences that build curiosity, exploration, and early STEM skills.

Powering Screen-Free STEM Education for 5,000 Preschool Teachers in Vietnam with KidsEdu

What Screen-Free STEM Education Looks Like in Practice Rather than relying on tablets or apps, the KidsEdu curriculum builds computational thinking through physical, screen-free tools: code blocks, coding cards and…

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Read more about the article Spiky Profile for College Applications vs. Well-Rounded Profiles: What Gets Students Into Ivy League Schools
Spiky profile for college applications vs well-rounded profiles, comparing specialization, achievements, leadership, and overall student impact.

Spiky Profile for College Applications vs. Well-Rounded Profiles: What Gets Students Into Ivy League Schools

A student named Priya (not her real experience, just a composite of the pattern admissions counselors describe over and over) spends four years president of one club, member of three…

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Read more about the article What Makes a Credible STEM Project for College Applications
Credible STEM Project for College Applications built on research, prototyping, data, and real-world impact.

What Makes a Credible STEM Project for College Applications

Two students each list "built an AI chatbot" on their activity list.  One can pull up a repository with commit history, a written explanation of what the model actually gets wrong,…

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