AI in Education - LUH6 modules
From Problem definition to Impact measurment
6 items
Updated
Description and Learning Outcome
Teacher
GKGábor Kismihók

Description

This learning path guides learners from defining a meaningful problem to designing, implementing, and evaluating an evidence-informed response. Through practical tools for problem framing, evidence gathering, prioritisation, SMART goal setting, methodology selection, roadmapping, and evaluation planning, learners build a clear, measurable pathway from insight to impact.

You will learn

By the end of this learning path, learners will be able to define a meaningful problem, use evidence to prioritise and select an appropriate response, set SMART goals, develop an actionable roadmap, and design an evaluation plan to measure and improve impact.

What’s included
Explore the modules included in this learning path.
1

The Core of Problem Framing and Definition

Text Content

Description

Explore how purposeful problem framing moves teams beyond surface symptoms to define the right challenge. Learners examine context, stakeholders, evidence, root causes, and assumptions, then use POV statements and “How Might We” questions to develop a focused, actionable problem definition.

Learning Outcome

Differentiate a surface-level problem statement from a well-framed problem and use stakeholder, evidence, root-cause, and reframing tools to develop a focused problem definition.

2

Gathering Evidence for the Problem

Text Content30 minutes

Description

Learners practice turning observations, data, and stakeholder feedback into evidence that supports a credible problem definition.

Learning Outcome

Select relevant qualitative and quantitative evidence to confirm a problem’s scope, causes, and impact.

3

Prioritising and setting SMART goals

Text Content30 minutes

Description

Learn how to compare possible actions using evidence-informed prioritisation frameworks, then translate the highest-value choice into a clear SMART goal with measurable targets, deadlines, and review points.

Learning Outcome

Apply evidence-informed prioritisation criteria and frameworks to select a high-value course of action, then formulate a SMART goal with a clear baseline, target, measure, deadline, and review approach.

4

Finding the suitable methodology for problem solving

Text Content

Description

Explore how to select and justify a proportionate methodology for a defined problem. Learners compare human-centred design, continuous improvement, systems thinking, project management, and evaluation-led approaches; then combine suitable methods and tools to address evidence gaps, involve stakeholders, manage risk, test assumptions, and achieve a SMART goal.

Learning Outcome

Select and justify a proportionate methodology, supported by appropriate methods and tools, that fits a defined problem, available evidence, stakeholder needs, SMART goal, constraints, and risk level.

5

Creating a roadmap and measurable objectives

Text Content30 minutes

Learning Outcome

Develop an outcome-focused roadmap that translates a SMART goal into measurable objectives, sequenced phases, milestones, ownership, dependencies, risks, stakeholder involvement, and review points.

6

Creating an evaluation plan for the proposed solution

Text Content30 minutes

Description

Learn how to design a proportionate evaluation plan that connects a proposed solution to its SMART goal, theory of change, meaningful indicators, ethical data collection, review points, and evidence-informed decisions about improvement, scale, or closure.

Learning Outcome

Develop a proportionate evaluation plan that links a proposed solution to its SMART goal, theory of change, meaningful indicators, data sources, ethical collection methods, review points, and evidence-informed decisions.