Nursery
Longthorpe Preschool
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Longthorpe Preschool
- Nursery
- Peterborough PE3 6LU
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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 | Good |
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This insight was generated by AI, based on latest Ofsted report.
Diverse Books and Toys: Children enjoy listening to stories and looking at books throughout the day
Indoor and Outdoor Facilities: Children have access to a garden area that includes fruit and vegetable patches, where they grow their own healthy snack foods and care for their crops
Activities: Children enjoy playing and exploring in the home corner, enhanced with familiar items like scented bags of herbs and spices, and food packets that represent those at home
Skills , Knowledge and Behavior: They benefit from forest school activities, where they learn about the habitats of minibeasts and other visitors to their garden
Communication: Parents are positive about the pre-school and staff, stating they are well informed about their child's progress and what they need to learn next
Programs and Resources: Staff working with children with SEND are knowledgeable and work closely with parents and other professionals; they have created a calming sensory area that key persons utilise for targeted one-to-one support
Welcoming and Professional Staff: Parents describe the staff as being 'warm, friendly, kind, patient and extremely nurturing towards the children in their care'
Safeguarding Training: The manager ensures that staff receive regular training about child protection and safeguarding issues
Child Safety Management: They ensure the premises are safe and secure, clearing bark from pathways and explaining to children why, encouraging them to help
Children's Safety and Security: Children receive a warm welcome from staff as they arrive at the pre-school and eagerly explore the various activities available to them
Happiness and Settling: Children soon become settled, happy and engaged in their chosen activity
Historical Ofsted reports
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Longthorpe Preschool is a Nursery, Nursery located in Cambridgeshire, East of England.
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Longthorpe Preschool
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From the Longthorpe Preschool
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 | 21st Dec 2023 - 3rd Jan 2024 |
| Spring Half Term Holidays | 19th Feb 2024 - 23rd Feb 2024 |
| Spring Holidays | 29th Mar 2024 - 12th Apr 2024 |
| Summer Half Term Holidays | 27th May 2024 - 31st May 2024 |
| Summer Holidays | 23rd Jul 2024 - 2nd Sep 2024 |
Terms Dates 2023/24
| Terms | Dates |
|---|---|
| Autumn Term | 1st Sep 2023 - 22nd Oct 2023 |
| Autumn Term-2 | 28th Oct 2023 - 20th Dec 2023 |
| Spring Term | 4th Jan 2024 - 18th Feb 2024 |
| Spring Term-2 | 24th Feb 2024 - 28th Mar 2024 |
| Summer Term | 13th Apr 2024 - 26th May 2024 |
| Summer Term-2 | 1st Jun 2024 - 22nd Jul 2024 |
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