Leatherback

Leatherback sea turtle, Lute turtle, Leathery turtle Dermochelys coriacea (Vandelli, 1761)

The Leatherback Sea Turtle is the largest of all sea turtle species. It lacks a hard carapace (shell); instead, its shell (or back) is generally characterized by five prominent, raised ridges (or keels) running lengthwise. The head and limbs are also devoid of scales. The entire body is encased in leathery skin. Its body color is typically dark gray with white or pink spots scattered over its entire body. Significantly, the pink spot pattern on the top of each leatherback's head is unique to every individual, which allows it to be used for identifying different individuals.

The Leatherback Sea Turtle is the sea turtle with the greatest diving capability. The current recorded maximum depth it can dive to is 1,280 meters, and it can hold its breath for up to 86 minutes. The leatherback is also the most widely distributed sea turtle species, found across the globe. Its presence is widely recorded in tropical, subtropical, and temperate waters worldwide.

This symbolizes our ability to guide learners deep into the core, enabling them to grasp the fundamental concepts of computational thinking, rather than merely staying at the surface level of operation. The learning journey we offer is comprehensive and continuous, empowering learners to apply computational thinking to a wide variety of subjects and challenges.


It is classified as VU (Vulnerable) on the IUCN Red List of Threatened Species.
In Taiwan, it is currently protected under the Wildlife Conservation Act and is listed as a Class I Endangered Species.
 
The information above is cited from "One Hundred Species of Marine Animals in Taiwan".

leatherback

Diving with leatherbacks

The Four Core Computational Thinking Skills Cultivated in Our Curriculum:

Algorithm Design:
Creating step-by-step instructions or rules to solve a problem.

Decomposition
Breaking down a complex large problem into manageable, independent smaller problems.

Pattern Recognition
Identifying and applying commonalities and regularities from past solutions.

Abstraction
Focusing on essential information, ignoring irrelevant details, and establishing models.