Website: CiCi Career Chat

Step 1 - The school is given a choice to either participate in a pilot for research and development whereby a link to the bot is made available via a QR code or they can potentially work with the CareerChat (UK) team to have a customised bot designed specific to their needs. This can be embedded within a school's careers webpage. The parameters of school involvement would be formally agreed with Careers Leader/Senior Manager/Headteacher.

Step 2 - Preparation and distribution of posters for around the school and teacher lessons plans, specific to how to use a careers bot effectively. Formal introduction to staff, including a feedback form for completion. This is designed to feed into continuous improvement. An option for parents to be involved is currently under (R&D) development. A language translation facility is available for parents for whom English is not their first language. There is also a text-to-speech function available for those with specific learning needs.

Step 3 - Groupwork (optional) with students/staff to observe how they are using the bot and online user feedback form completed by the end users. Student involvement in what works, ideas for improvement etc.

Step 4 - Monthly meetings involving the Careers Leader and CareerChat representative to review the findings including the data dashboard results and the extent to which the chatbot is being embedded in career leaders’ and other teachers' everyday practice. For example: most popular occupations searched for, and other data reviewed - is there alignment/misalignment with the reality of labour markets? Are other routes being overlooked by students e.g., self-employment, volunteering, apprenticeships etc?

Step 5 - Report and presentation of findings to the school’s Senior Management Team, teachers, and parents.

Tailored to each organisation, CiCi comes with a personalised dashboard of metrics using Application Programme Interfaces (APIs) and machine learning that provides comprehensive data analytics to help align service provision with the reality of the types of searches and occupations individuals are exploring. It can work across all devices. This can enable accurate comparison against local, regional, and national Labour Market Information (LMI). It also draws on the UK LMI for All widget.

School IT broadband - systems need to be checked in advance as broadband access and IT systems vary significantly between schools.

The resource is not free of charge for practitioners

CiCi works closely with practitioners and partner organisations (including schools) involved in our free R&D piloting activities

Some users will require support to use the resource.

In some cases, visually impaired students or those in alternative provision may require additional support depending on their unique circumstances.

Lessons learned –

1. From the outset, involve the IT school expert in working closely with the career’s specialist and external bot experts. Also, forge links with the school’s marketing or public relations (PR) expert to promote CEIAG (Career Education Information Advice and Guidance).

2. Do not simply give the link or QR code to teachers. Make sure there is a formal induction so that they understand the tool and how it can benefit them and their students/parents. Capture their ideas, concerns and respond well to these.

3. Share data findings to feed into the school's careers strategy. Find ways to show how the AI and machine learning technology data supports the achievement of benchmarks (such as the Gatsby Benchmarks). Explain how the data can be used as evidence to inform school inspections and/or the achievement of quality standards.

This resource has been endorsed by the Bemrose School in Derby in the United Kingdom.