Nursery
Bright Beginners Nursery | Ofsted Reports, Fees, Reviews (2025)
Bright Beginners Nursery
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Bright Beginners Nursery
- Nursery
- Sheffield S3 8JD
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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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Diverse Books and Toys: Children explore their surroundings and develop good levels of self-confidence. They treat each child as an individual and provide an inclusive environment.
Indoor and Outdoor Facilities: Staff create exciting learning spaces, including a large outdoor 'beach' role-play area. Indoors, children enjoy a multi-sensory room.
Philosophy: Staff draw on children's interests and abilities to create exciting learning spaces. Staff also focus on helping children become independent in their self-care.
Activities: Activities include counting shells, describing sand textures, and visiting places of worship for cultural learning.
Skills , Knowledge and Behavior: Staff identify children's skills and knowledge and plan next steps collaboratively.
Communication: Leaders support families and direct them to other services, ensuring that children's needs are well met.
Programs and Resources: Children with special educational needs and/or disabilities learn well with tailored support.
Welcoming and Professional Staff: Staff provide a warm, nurturing environment. They have very close relationships with children.
Safeguarding Training: Staff have undertaken suitable child protection and paediatric first-aid training.
Play and Learning Integration: Staff create practical learning experiences and environments for children to explore.
Diversity Management: Staff create an inclusive environment encouraging parents to share key words in their child's home language and special celebrations.
Child Safety Management: The manager follows safer recruitment procedures and assesses staff suitability continuously.
Children's Safety and Security: Children separate from parents confidently and are keen to play with friends.
Nutritional Menu: Staff talk to children about healthy food choices during mealtimes.
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About Us
Bright Beginners Nursery is a Nursery, Nursery located in South Yorkshire, Yorkshire and The Humber.
This nursery accepts children from 0-5 years old.
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From the Bright Beginners 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 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 | 31st Mar 2025 - 11th Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 24th 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 - 30th Mar 2025 |
| Summer Term | 12th Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 23rd Jul 2025 |
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