Nursery
Littlesaurus Nursery
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Littlesaurus Nursery
- Nursery
- Adur BN43 5NE
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Ofsted report
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| The quality of education | Good |
| Behaviour and attitudes | Good |
| Personal development | Good |
| Leadership and management | Good |
| Overall effectiveness at previous inspection | Requires Improvement |
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Indoor and Outdoor Facilities: Toddlers and older children feel happy, safe, and secure in a calm atmosphere, with staff providing reassurance and cuddles to babies.
Activities: Staff plan activities well that spark children's curiosity, such as sand and water play and making hedgehog houses.
Skills , Knowledge and Behavior: Staff know children's interests well and provide a curriculum that stimulates and engages children.
Communication: Staff speak to parents daily to share their children's achievements.
Community Building: Parents speak highly about the support they receive and praise how staff make them and their children feel highly valued.
Programs and Resources: Staff help children to develop a love of books and choose books to take home and share with their families. This has a positive impact on children's interest in stories and their overall language development.
Safeguarding Training: Staff complete regular training opportunities to ensure that they have a secure knowledge and understanding of safeguarding and child protection procedures.
Play and Learning Integration: Staff position toys and resources in children's base rooms to attract their attention, encouraging independence skills from an early age.
Diversity Management: Children are encouraged to understand about leading a healthy lifestyle through frequent outdoor play, gardening, and nutritious snacks provided by the on-site chef.
Child Safety Management: Staff talk to children about how to keep themselves safe during their play and follow relevant guidelines to keep children safe with digital media in the nursery.
Children's Safety and Security: Toddlers and older children show that they feel happy, safe, and secure at nursery.
Nutritional Menu: Children enjoy healthy and nutritious snacks provided by the on-site chef and eagerly serve themselves.
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Littlesaurus Nursery is a Nursery, Nursery located in West Sussex, South East.
This nursery accepts children from 0.6-5 years old.
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Littlesaurus Nursery
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From the Littlesaurus Nursery
FootfallCam, a privately held firm that was founded in 2002, is the top provider of solutions for counting people worldwide.
We have a team of highly skilled engineers who produce all of the hardware and software in-house at our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a global network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human objects and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Read more
We have a team of highly skilled engineers who produce all of the hardware and software in-house at our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a global network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human objects and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Admission
Holidays & terms
Holidays 2023/24
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 23rd Oct 2023 - 27th Oct 2023 |
| Winter Holidays | 18th Dec 2023 - 1st Jan 2024 |
| Spring Half Term Holidays | 12th Feb 2024 - 16th Feb 2024 |
| Spring Holidays | 29th Mar 2024 - 12th Apr 2024 |
| Summer Half Term Holidays | 27th May 2024 - 31st May 2024 |
| Summer Holidays | 24th Jul 2024 - 30th Aug 2024 |
Terms Dates 2023/24
| Terms | Dates |
|---|---|
| Autumn Term | 1st Sep 2023 - 22nd Oct 2023 |
| Autumn Term-2 | 28th Oct 2023 - 17th Dec 2023 |
| Spring Term | 2nd Jan 2024 - 11th Feb 2024 |
| Spring Term-2 | 17th Feb 2024 - 28th Mar 2024 |
| Summer Term | 13th Apr 2024 - 26th May 2024 |
| Summer Term-2 | 1st Jun 2024 - 23rd Jul 2024 |
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