D3 Tenders | Personalised Learning Bot

Notice Information

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Notice Title

Personalised Learning Bot

Notice Description

Cardiff and Vale College (CAVC) is seeking to appoint a supplier as part of an innovative project to develop a personalised learningassistant (bot).The project will involve building a personalised learning bot that will drive adaptive and contextual Learning and Teaching, drivenby advanced Artificial Intelligence (AI) and Deep Learning to help improve attainment in GCSE English and Maths.Anticipated core features and expectations include:* The teachers can be augmented with a self-learning Artificial Intelligence capable of creating a single knowledge from variouslearning sources while anticipating specific needs and personalising content.* Using machine learning and deep learning, the system will enable personalised self-service through a common canvas of proactiveengagement that is led by contextual tasks and activities, this will include embedding nudges to increase motivation andengagement.* The learning assistant will reduce the marking workload of staff, improve feedback to students, drive individual capability-basedlearning (which has been proven to have a huge impact on learners' achievement), and provide a personalised learning path for theindividual.* The system will be driven by a voice ready, natural language typed exchange that will reduce the barrier to adoption whilemanifested within any other channel.* Whilst a teacher is marking a piece of work, the AI assistant will provide suggested content recommendation based on the marksand feedback of the teacher. The teacher will select the appropriate content for the learner to go alongside the marks and written oraudio feedback to the learner. This content is pulled in from existing sources, like the VLE, and is personalised to the learners needs,but saves time for the teacher in having to search for the content. It will also provide richer feedback for the learner as generallyfeedback just contains text, rather than content to support the areas of weakness.* The AI assistant can then follow up with the learner after they have received the feedback to find out if the content was useful, toensure that learning has taken place, and to offer further support.* The AI assistant can gamify and scan learners' work for any dyslexia patterns before carrying out further diagnostics, which willnotify the necessary support staff of requirements for further ALN support. This will reduce the likelihood of learners who requireadditional support remaining undiagnosed, resulting in a more proactive approach to ALN.* The system will be bilingual using a language translation module.The project is being supported through the Welsh Government Digital 2030 capital grant funding. The project needs to be deliveredby May 2020.The College is inviting initial interested suppliers to register their expression of interest with a view to launching a formal invitationto tender process in January 2020. The maximum budget is PS150,000, with a desirable requirement to exclude annual license feesfollowing development of the product.

Notice Details

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Publication & Lifecycle

Open Contracting ID: ocds-kuma6s-098195
Publication Source: Sell2Wales
Latest Notice: https://www.sell2wales.gov.wales/search/search_switch.aspx?ID=098195
Current Stage: Award
All Stages: Award

Procurement Classification

Notice Type: S2W Notice - Website Contract Award Notice
Procurement Type: Standard
Procurement Category: Goods
Procurement Method: Not Specified
Procurement Method Details: Not specified
Tender Suitability: Not specified
Awardee Scale: Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

CPV Codes

72000000 - IT services: consulting, software development, Internet and support

72200000 - Software programming and consultancy services

72210000 - Programming services of packaged software products

72211000 - Programming services of systems and user software

72212000 - Programming services of application software

72220000 - Systems and technical consultancy services

72240000 - Systems analysis and programming services

72250000 - System and support services

72260000 - Software-related services

Notice Value(s)

Tender Value: Not specified
Lots Value: Not specified
Awards Value: Not specified
Contracts Value: Not specified

Notice Dates

Publication Date: 4 Apr 20224 years ago
Submission Deadline: Not specified
Future Notice Date: Not specified
Award Date: 24 Feb 20206 years ago
Contract Period: Not specified - Not specified
Recurrence: Not specified

Notice Status

Tender Status: Not Specified
Lots Status: Not Specified
Awards Status: Not Specified
Contracts Status: Active

Buyer & Supplier

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Contracting Authority (Buyer)

Main Buyer: CARDIFF AND VALE COLLEGE
Contact Name: Available with D3 Tenders Premium →
Contact Email: Available with D3 Tenders Premium →
Contact Phone: Available with D3 Tenders Premium →

Buyer Location

Locality: CARDIFF
Postcode: CF10 5BF
Post Town: Cardiff
Country: Wales
Major Region (ITL 1): TLL Wales
Basic Region (ITL 2): TLL5 South East Wales
Small Region (ITL 3): TLL52 Cardiff and Vale of Glamorgan
Delivery Location: Not specified
Local Authority: Cardiff
Electoral Ward: Butetown
Westminster Constituency: Cardiff South and Penarth

Supplier Information

Number of Suppliers: 1
Supplier Name: WE BUILD BOTS

Further Information

Notice URLs

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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