--- title: "Personalised Learning Bot" ocid: "ocds-kuma6s-098195" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-kuma6s-098195" markdown_url: "https://d3tenders.com/contract/ocds-kuma6s-098195.md" json_url: "https://d3tenders.com/contract/ocds-kuma6s-098195.json" source: "Sell2Wales" current_stage: "Award" buyer: "CARDIFF AND VALE COLLEGE" published: "2022-04-04" --- # Personalised Learning Bot Buyer: CARDIFF AND VALE COLLEGE Current stage: Award OCID: ocds-kuma6s-098195 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-kuma6s-098195) [Download OCDS JSON](https://d3tenders.com/contract/ocds-kuma6s-098195.json) ## Summary Cardiff and Vale College is seeking to enhance its educational performance through a project titled "Personalised Learning Bot," aimed at developing an advanced AI-driven learning assistant. This procurement process, currently at the award stage, involves the provision of a system designed to personalise and enhance learning for GCSE English and Maths students. The contract was signed on 24th February 2020, with a maximum budget of £150,000. The project is supported by the Welsh Government Digital 2030 capital grant funding, and it is located in Cardiff, Wales. This tender presents a significant opportunity for businesses in the IT services and software development sectors, particularly those with expertise in artificial intelligence, machine learning, and educational technology. Companies that can create innovative solutions to enhance learning experiences and reduce teacher workloads will be well-suited to engage with this project. Suppliers capable of delivering bilingual software and those offering support services for educational institutions should consider expressing their interest to contribute to this transformative initiative. ## Notice 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. ## Key Details | Field | Value | | --- | --- | | Publication source | Sell2Wales | | Latest notice | https://www.sell2wales.gov.wales/search/search_switch.aspx?ID=098195 | | 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 | | All stages | Award | ## Dates | Field | Value | | --- | --- | | Publication date | 4 Apr 2022 | | Submission deadline | Not specified | | Future notice date | Not specified | | Award date | 24 Feb 2020 | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Not specified | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Active | ## Buyer | Field | Value | | --- | --- | | Main buyer | CARDIFF AND VALE COLLEGE | | Locality | CARDIFF | | Post town | Cardiff | | Postcode | CF10 5BF | | Country | Wales | | ITL 1 | TLL Wales | | ITL 2 | TLL5 South East Wales | | ITL 3 | TLL52 Cardiff and Vale of Glamorgan | | Local authority | Cardiff | | Electoral ward | Butetown | | Westminster constituency | Cardiff South and Penarth | | Delivery location | Not specified | ## Supplier | Field | Value | | --- | --- | | Number of suppliers | 1 | | Supplier names | WE BUILD BOTS | ## CPV Codes ### Divisions - 72 - IT services: consulting, software development, Internet and support ### 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 ## Release History - 4 Apr 2022 at 15:22 - Award - S2W Notice - Website Contract Award Notice - https://www.sell2wales.gov.wales/search/search_switch.aspx?ID=098195 ## Notice URLs - https://wbb.ai - https://www.cavc.ac.uk ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-kuma6s-098195. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-kuma6s-098195.json.