The first phase of development focuses on efficiently housing information about the submission within Aptem, enabling learners and tutors to easily access it via the Learning Plan. A streamlined process that encourages clarity of expectations and standardised assessment criteria for consistency, fairness and efficiency.

Learn more: https://www.aptem.co.uk/aptem-news/aptem-and-graide-launch-first-ai-driven-integrated-marking-aid-for-apprenticeships/

With Review summarisation, we hope to eliminate the trade-off between valuable conversations and accurate record-keeping, by automatically generating the key discussion points and themes from each Review. As the conversation progresses, crucial feedback and action points will be documented, helping to improve engagement, boost accuracy and shorten feedback loops.

Unlock impactful, learner-centred support by shifting the focus from basic routine feedback to meaningful constructive guidance, tailored to each learner’s needs.

Unlike generic chatbots, our virtual assistant is purpose-built for each learner’s apprenticeship programme, so its accuracy in relation to the apprenticeship standard is far higher than that of a standard large language model.

Using this approach gives learners more ownership of their learning journey, maximise learning momentum, and reduce the administrative burden for tutors to respond to repetitive questions.

To help identify areas where learners may need additional support or stretch, tutors can now see the chat history between the virtual assistant and the learner. This has been developed in response to Early Adopter feedback. It can also be used for QA purposes.

Aptem has integrated its virtual assistant with the Checkpoint functionality. As a result, after completing a Checkpoint, the virtual assistant will be available to the learner, providing them with the opportunity to delve deeper into the topic. This timely intervention allows learners to enhance their understanding by engaging in targeted conversations right at the moment they are assessing their knowledge.

Expanding on the initial iteration of Aptem’s marking aid, this feature introduces intelligent KSB criteria mapping to assist tutors during the marking process. The tool learns how you mark, every time you mark. With this human-in-the-loop approach, it helps to drive accuracy and efficiency, freeing up tutors’ time and allowing them to focus on personalised guidance that supports learner progress.

Achieve significant time savings without compromising feedback quality. By reducing the time taken to provide repetitive feedback, it allows for more personalised guidance that improves learner outcomes.