Price: $19.99 - $13.99
(as of Feb 02, 2025 05:54:34 UTC – Details)
Product Description
The video showcases the product in use.The video guides you through product setup.The video compares multiple products.The video shows the product being unpacked.
How many pieces are included with this toy?
This human anatomy model includes 28 pieces.
What age is this item recommended for?
Ages 8+.
Which parts glow in the dark?
The bones are coated in the glow-in-the-dark paint and will illuminate in the dark.
How tall is the model when completed?
The finished model is 12.4″ tall.
What is recommended to make the model glow in the dark?
We recommend exposing the model to a bright light source for a couple of hours for maximum glow.
✔ INTERACTIVE LEARNING: Delve into human anatomy with a fun and engaging 3D puzzle featuring 28 anatomically accurate pieces, providing an interactive educational experience for children and adults alike.
✔ MULTI-SYSTEM EDUCATION: Uncover the mysteries of the skeletal, muscular, and organ systems with this comprehensive set, catering to visual and kinesthetic learners through hands-on exploration.
✔ ROLE-PLAY FUN: Ignite young minds with pretend play as a doctor to begin fostering an understanding of the human body while inspiring interest in biology, physiology, and related scientific fields.
✔ GLOW-IN-THE-DARK: Enhance learning sessions with glow-in-the-dark skeletal pieces for added visual appeal; for optimal results, expose pieces to light for a few hours to maximize glow intensity.
✔ ALL-INCLUSIVE KIT: Assemble with ease using the included heart, lungs, outer shells, muscle groups, pancreas, spleen, kidneys, intestine, stomach, diaphragm, vein segments, bone groups, liver, brain, forceps, and base.
Customers say
Customers appreciate the quality and anatomy of the science fundamentals kit. They find it well-made and easy for kids to understand. The veins and organs are designed realistically, with impressive detail. The glow-in-the-dark feature is also a positive aspect for customers.
AI-generated from the text of customer reviews