Nursery
Selsdon Park Pre-School | Ofsted Reports, Reviews (2025)
Selsdon Park Pre-School
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Selsdon Park Pre-School
- Nursery
- Croydon CR2 8LA
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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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Diverse Books and Toys: Staff ensure that resources and play experiences are well organised and inviting.
Indoor and Outdoor Facilities: Staff are very vigilant and proactive in risk assessing the environment, to keep children safe.
Activities: Children visit the local pharmacy and optician, to learn about people who help us in the community.
Skills , Knowledge and Behavior: Children count with confidence and identify numbers as they play the birthday cake game.
Communication: Parents feel valued and are provided with a range of ways to contribute to the pre-school and their children's learning.
Programs and Resources: Children who have been identified as having gaps in their development are swiftly supported.
Welcoming and Professional Staff: Staff are kind, caring and attentive towards the children.
Safeguarding Training: Staff know how to recognise and report any signs that indicate a child may be at risk of harm.
Play and Learning Integration: Young children concentrate as they roll, press and squash dough into different shapes.
Transition to Primary School: Children are confident and motivated learners who are gaining the essential skills they need to progress on to the next stage.
Child Safety Management: Staff are very vigilant and proactive in risk assessing the environment, to keep children safe.
Children's Safety and Security: The manager understands her responsibility to protect children and implements clear policies and procedures to ensure their welfare.
Happiness and Settling: Parents comment on how much their children have developed in confidence since starting at the setting.
Nutritional Menu: Staff talk about the nutritional value of different foods, for example, as they play the lunch pack game.
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About Us
Selsdon Park Pre-School is a Nursery, Nursery located in Greater London, London.
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From the Selsdon Park Pre-School
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 competent engineers that produce all of the hardware and software in-house in 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 worldwide 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 fundamental 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 need.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint around 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 things 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 competent engineers that produce all of the hardware and software in-house in 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 worldwide 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 fundamental 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 need.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint around 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 things 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.
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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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