Price: $2.99
(as of Nov 10, 2024 21:11:33 UTC – Details)
#1 Best Seller. A fun, interactive short story you’ll enjoy with your toddler. Packed with 30 gorgeous illustrations with simple, clever rhyme, Silly Bear is a perfect bedtime story, and is bound to become a favorite.
Over 100 5star Customer Reviews – here are some excerpts:
“Some of the best illustrations I have seen in a children’s book…”
“A delightfully illustrated fun book for little ones and the rhyming is bound to engage when they start reading for themselves.”
“Silly Bear made my grandson laugh out loud and clap his hands in glee.”
“My 5 year old was excited that she could read it to me. She loved it!”
“This is one of those books your kids will want you to read over and over again and you’ll actually enjoy doing it.”
“It’s a great learning tool as well as being lots of fun.”
The large, funny and colorful illustrations bring this clever story to life on a tablet.
Lyrical rhythm and clever rhyme is guaranteed to captivate your child’s intrigue.
Simple words make this an ideal ‘learn to read’ book for young school children.
Grab the special bonus of some of the pages for your little one to color in – even if you don’t buy the book!
An entertaining way for learning the basic concepts of opposites within a fun adventure that will keep your toddler guessing the next page.
ASIN : B00D0OCC72
Publisher : (May 25, 2013)
Publication date : May 25, 2013
Language : English
File size : 1680 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 33 pages
Customers say
Customers find the illustrations wonderful, creative, and expressive. They describe the book as fun and entertaining for young kids. Readers also mention the storyline is engaging, excellent, and exciting. They say the words are simple enough for young readers to read themselves. Additionally, customers appreciate the color palette and concept of learning colors.
AI-generated from the text of customer reviews