Nursery
Arnold Lodge Prepcare Nursery | Ofsted Reports, Fees, Reviews (2025)
Arnold Lodge Prepcare Nursery
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Arnold Lodge Prepcare Nursery
- Nursery
- Royal Leamington Spa CV32 5SE
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Ofsted report
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| Effectiveness of leadership and management | Good |
| Quality of teaching, learning and assessment | Good |
| Personal development, behaviour and welfare | Good |
| Outcomes for children | Good |
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Indoor and Outdoor Facilities: Staff do not consider how to make the best use of the outdoor provision in order to support children's learning as fully as possible.
Activities: Children make good progress with their mathematical understanding and literacy skills.
Skills , Knowledge and Behavior: Children gain a wide range of useful skills that provide them with a secure foundation for their future learning and school.
Communication: They keep parents well informed about their child's care and development, and provide ideas to help them to support children's learning at home.
Welcoming and Professional Staff: The well-qualified and knowledgeable staff team supports children's learning and development successfully.
Safeguarding Training: The manager and staff know current guidelines well. They understand their responsibility to protect children.
Play and Learning Integration: Children use their imaginations well as they play and recreate roles and familiar experiences.
Diversity Management: Children who are bilingual benefit from opportunities to hear and use their different languages as they play.
Child Safety Management: They volunteer to help staff complete risk assessment and identify and eliminate potential hazards.
Teaching Personal Safety: Older children learn about keeping themselves and others safe as they play.
Happiness and Settling: Children form close bonds with staff and are happy.
Nutritional Menu: Children benefit from healthy and nutritious meals and snacks.
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About Us
Arnold Lodge Prepcare Nursery is a Nursery, Nursery located in Warwickshire, West Midlands.
This nursery accepts children from 0.6-5 years old.
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From the Arnold Lodge Prepcare Nursery
Established in 2002, FootfallCam is a privately held company and leading global provider of people counting solutions.
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.
With a global network of reseller partners and continuous effort in research and development, we have relentlessly served organisations all over the world in sectors varying from retail, fast food restaurants, and museums to smart buildings and airports, for more than a decade.
Our company values and focus on our Research and Development (R&D) as part of our core strategy.
We have an in-house R&D team dedicated to the development of both hardware and software of FootfallCam.
Continuous development of the product allows FootfallCam to stay at the forefront in the people counting industry.
Coupled with our innovative approach to product development, we have successfully developed our flagship product, FootfallCam 3D Max.
We are the first in the world that combine people counting and Wi-Fi analytics into a single device.
We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers require.
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 over 100 years of combined industry experience in developing both hardware and software for people counting solutions.
Stereoscopic (3D image processing) being able to intelligently distinguish a human from non-human objects and track directional movement of a walking human.
Artificial Intelligence using a Support Vector Machine (SVM) neural network model to train our machines on how to recognize something.
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.
With a global network of reseller partners and continuous effort in research and development, we have relentlessly served organisations all over the world in sectors varying from retail, fast food restaurants, and museums to smart buildings and airports, for more than a decade.
Our company values and focus on our Research and Development (R&D) as part of our core strategy.
We have an in-house R&D team dedicated to the development of both hardware and software of FootfallCam.
Continuous development of the product allows FootfallCam to stay at the forefront in the people counting industry.
Coupled with our innovative approach to product development, we have successfully developed our flagship product, FootfallCam 3D Max.
We are the first in the world that combine people counting and Wi-Fi analytics into a single device.
We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers require.
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 over 100 years of combined industry experience in developing both hardware and software for people counting solutions.
Stereoscopic (3D image processing) being able to intelligently distinguish a human from non-human objects and track directional movement of a walking human.
Artificial Intelligence using a Support Vector Machine (SVM) neural network model to train our machines on how to recognize something.
Admission
Holidays & terms
Holidays 2024/25
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 28th Oct 2024 - 1st Nov 2024 |
| Winter Holidays | 23rd Dec 2024 - 3rd Jan 2025 |
| Spring Half Term Holidays | 17th Feb 2025 - 21st Feb 2025 |
| Spring Holidays | 14th Apr 2025 - 25th Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 22nd Jul 2025 - 29th Aug 2025 |
Terms Dates 2024/25
| Terms | Dates |
|---|---|
| Autumn Term | 2nd Sep 2024 - 27th Oct 2024 |
| Autumn Term-2 | 2nd Nov 2024 - 22nd Dec 2024 |
| Spring Term | 4th Jan 2025 - 16th Feb 2025 |
| Spring Term-2 | 22nd Feb 2025 - 13th Apr 2025 |
| Summer Term | 26th Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 21st Jul 2025 |
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