MAGE: Driving Learning Effectiveness at Multiverse

We drive learning through MAGE – Measured, Applied, Guided, and Equitable learning. These principles guide our curriculum development and learning experience design. In other words, these pillars are the standards we hold ourselves to when deciding what learning we offer and how we deliver it.

Measured Learning means we collect the right data at the right time in order to demonstrate that learning is occurring as anticipated, as well as capturing whether it is having the desired impact. This calls for continuous effort, but at Multiverse, we’re committed to achieving it.

We build upon established learning measurement frameworks like Learning-Transfer Evaluation Model (Thalheimer, W., 2018) to create a map of data we collect throughout the learning journey. Not only do we measure whether knowledge, skills and behaviors can be evidenced; but we measure a litany of other data points that allow us to monitor learning performance and triage support as necessary. In many cases, we also support our learners in highlighting and celebrating the real-world transfer of this learning into workplace performance gains.

Applied Learning means that our learning happens in a real-world context, learning what you need to know when you need to learn it. As Josh Bersin (2018) states, the more we learn in the flow of work (opens new window)(opens new window) the more impact we can have. We facilitate an active learning environment by encouraging apprentices to apply what they learn within the context of their own role. This makes it a transformative experience that facilitates lasting changes in mindset, perspective, attitudes as well as knowledge and skills. We support this in a myriad of ways including:

Guided Learning means that learners are continually supported on their learning journey through a unique blend of AI-powered, on-demand and human-centered coaching. Our aim is to ease learners into that “goldilock’s zone” of challenge (Vygotsky, 1978; Wilson et al., 2019); ensuring they can do more with the guidance of knowledgeable experts and other forms of scaffolded support.

The benefits of a guided learning process have long been documented (e.g. Bloom, 1984). However, many learning providers have felt the tension between providing guided experiences and scaling their delivery through remote, productised experiences. At Multiverse, we believe this is a false choice, and aim to do both through our blend of AI and human approaches to coaching. We also believe there are a range of knowledgeable experts within a learning journey, encouraging apprentices to not only learn from their coaches but also their peers and extended Multiverse community.

Equitable Learning means learning is accessible to everyone and can be used as a means to open up career possibilities. It means that everyone's unique qualities are valued and represented in our learning experience. As such, we’re continuously aiming to assess what makes each learner unique (e.g. how they think, how they learn, what motivates them) such that support and guidance can be tailored to each individual.

Within our Learning Science team, we have a blend of experts in workplace psychology and learning assessment to continue to put each individual learner at the center of each experience. As emphasized by Multiverse’s mission “Providing equitable access to economic opportunity for everyone”, equity and inclusion are at the heart of what we do.

By incorporating the MAGE framework into how we think about, build and deliver learning we can ensure we deliver learning effectively. In particular, this framework has been developed with on-the-job, professional learning in mind; as we at Multiverse help solve your business-critical problems and prepare you for the future of work.