Nursery
Little Learners Day Nursery | Ofsted Reports, Reviews (2025)
Little Learners Day Nursery
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Little Learners Day Nursery
- Nursery
- Croydon CR8 4DN
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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 | Outstanding |
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Indoor and Outdoor Facilities: The curriculum is well designed to ensure that children experience activities across all areas of learning through a stimulating learning environment.
Activities: Activities and routines are well designed to meet the needs of individual children.
Skills , Knowledge and Behavior: They implement experiences that systematically help children to build on their existing abilities and master new skills.
Communication: Parents say their children enjoy their time at the nursery. They feel well informed about their children's care and value being included in their learning opportunities.
Programs and Resources: Children with special educational needs and/or disabilities (SEND) receive tailored support through effective partnership working and information-sharing.
Safeguarding Training: Managers and staff have a good awareness of the signs and symptoms of abuse and how to report any worries they have about a child in their care.
Play and Learning Integration: Most children are continually engaged in play as staff take all opportunities to encourage their interests.
Transition to Primary School: Staff used recent learning to implement play-dough activities as part of helping to develop children's hand and finger movements ready for writing.
Child Safety Management: Staff supervise children well and keep them safe as they play.
Children's Safety and Security: All children show that they feel safe and secure with the adults who care for them.
Happiness and Settling: Children are confident and enjoy learning.
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About Us
Little Learners Day Nursery is a Nursery, Nursery located in Greater London, London.
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From the Little Learners Day 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, manufacturing both hardware and software fully in-house in our U.K Headquarter, and applying their expertise in chosen fields to solve business challenges over the years.
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.
Our company values and focus on our Research and Development (R&D) as part 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.
FootfallCam expands its presence globally by setting up sales offices in several countries such as in the United Kingdom, United States, Hong Kong and Malaysia.
Over the years, besides setting up sales offices, FootfallCam has developed a strong partner network with its presence at more than 100 countries such as Ireland, France, Italy, Spain, United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia and others.
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, manufacturing both hardware and software fully in-house in our U.K Headquarter, and applying their expertise in chosen fields to solve business challenges over the years.
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.
Our company values and focus on our Research and Development (R&D) as part 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.
FootfallCam expands its presence globally by setting up sales offices in several countries such as in the United Kingdom, United States, Hong Kong and Malaysia.
Over the years, besides setting up sales offices, FootfallCam has developed a strong partner network with its presence at more than 100 countries such as Ireland, France, Italy, Spain, United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia and others.
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 2024/25
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 21st Oct 2024 - 25th Oct 2024 |
| Winter Holidays | 23rd Dec 2024 - 3rd Jan 2025 |
| Spring Half Term Holidays | 17th Feb 2025 - 21st Feb 2025 |
| Spring Holidays | 7th Apr 2025 - 21st Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 23rd Jul 2025 - 29th Aug 2025 |
Terms Dates 2024/25
| Terms | Dates |
|---|---|
| Autumn Term | 2nd Sep 2024 - 20th Oct 2024 |
| Autumn Term-2 | 26th Oct 2024 - 22nd Dec 2024 |
| Spring Term | 4th Jan 2025 - 16th Feb 2025 |
| Spring Term-2 | 22nd Feb 2025 - 6th Apr 2025 |
| Summer Term | 22nd Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 22nd Jul 2025 |
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