What is M.I.R.E.R.? Glow’s AI-assisted learning cycle
Meet Monitor, Inform, Reinforce, Evaluate, Reward: Glow’s adult-guided approach to turning everyday practice into focused support and follow-up.
Use evidence from practice to choose a focused next step, then check whether the learner can use it more independently.
M.I.R.E.R. is Glow's AI-assisted learning cycle, connecting everyday practice with targeted reinforcement and thoughtful follow-up. Built on established principles of assessment and feedback, it helps parents and teachers notice where support could help, choose a next step, and celebrate progress—on screen and on paper.
The letters stand for Monitor, Inform, Reinforce, Evaluate, and Reward. Each step has a practical job. Together, they create a route from “something seems difficult” to a teaching action an adult can review and use.
Monitor and inform
When an adult enables M.I.R.E.R. for eligible, signed-in Glow web practice, repeated patterns can suggest that a skill deserves another look. Checked answers, hints, and learner self-checks provide different kinds of information and should be read in context.
The adult sees a focused suggestion and the reason behind it. A long pause alone does not explain what a learner is thinking. The parent or teacher can bring in what the session cannot show: an interruption, unfamiliar instructions, or something the child has just said aloud.
Reinforce with a purposeful activity
Review the suggestion and choose the teaching approach. A math learner may benefit from a model; a reader may need a clearer connection between sounds and spelling. The next activity should address that specific need rather than simply adding more questions.
In Glow, an adult can use the reinforcement on its own or add a support session to a learning plan. Existing lessons stay in place. The adult can also dismiss a recommendation when another approach is more appropriate.
Evaluate now and later
After teaching, invite a fresh independent attempt before offering feedback. Keep that response separate from the work completed with a prompt or model. Then return later to see what the learner can still use after a gap.
This makes the cycle more useful than a single practice score. It asks whether the chosen support helped and whether the learning is becoming available in a new moment or context.
Reward the learning process
Celebrate something specific: a strategy explained, a word read in a new sentence, or a problem solved with less help. Avoid making a public ranking or a fast answer the only sign of success.
Paid Glow web access supports a shared roster of up to 40 learner seats, with parent or school learning authorization required. The adult enables M.I.R.E.R. in the workspace and controls the next step. AI can assist the planning, while the teaching relationship stays with the people who know the learner.
Sources & further reading
Research background and Glow’s approach, alongside the original activity ideas in this guide.
