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As you move through this section, you will:
Explore five research-informed principles for AILP design.
Compare those principles with the design trade-offs you explored in the previous section.
Use the research to inform your own design decisions.
Before You Begin
Before You Begin
In the previous activity, you explored the trade-offs involved in designing an AILP. Every design decision involved balancing competing priorities across learners, teachers, and administrators.
Now, you'll examine what current educational research suggests about those decisions.
As you explore the research, consider:
What should an effective AILP do?
How should it support learners?
What kind of learning experience should it create?
(You don't need to write anything down. Simply keep these questions in mind as you move through this section.)
What Does the Research Suggest?
Research suggests that effective learning with AI requires ongoing reflection and metacognitive awareness (Fan et al., 2025). This includes the ability to monitor, evaluate, and adjust thinking in collaboration with AI systems (Sidra & Mason, 2025).
Rather than identifying one "perfect" AILP, the research below provides a framework for evaluating the design choices explored in the previous activity.
(Adapted from Kim & Baylor, 2006; Risko & Gilbert, 2016; Hernández-Orallo & Vold, 2019; Chiu et al., 2024; Rogers & Carbonaro, 2025; Fan et al., 2025; García-Barrios, 2025; Sidra & Mason, 2025; Zhou et al., 2025).
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