Notes on Novices, Experts, and Instructional Guidance

Novices vs Experts

Novices in a domain require explicit, direct instructional guidance; benefit from clearer explanations and step-by-step instructions; may struggle with problem solving and risk misconceptions without guidance.
Experts possess extensive domain-specific knowledge and can process complex information efficiently; rely on stored knowledge in long-term memory to solve problems and recognize grand patterns rather than arbitrary details.
Expertise is domain-specific; being good in one area does not guarantee broad expertise elsewhere; a chess master, when shown a real game board, relies on meaningful patterns, but on random configurations their performance drops to novice levels.

Humans are predisposed to learn from others and benefit from borrowing and reorganising explanations from others.
Organising new information helps prevent cognitive overload; instruction accelerates this process compared to trial-and-error alone.
Information in long-term memory supports faster retrieval and reduces working-memory load during problem solving.

Working memory is limited; novel information occupies more space and is harder to manage without guidance.
Long-term memory provides stored knowledge and patterns that can be retrieved to solve problems more efficiently.
The transfer from long-term memory back to working memory enables quicker, more accurate responses.

Minimally guided approaches include discovery, problem-based learning, inquiry, experiential learning, and constructivist methods.
Fully guided approaches include explicit instruction, explicit direct instruction, and responsive teaching.
Novices benefit most from fully guided approaches; experts benefit more from minimally guided approaches due to their stored knowledge enabling independent problem solving.
Expertise reversal effect: explicit instruction can hinder performance for experts who already know the material well.

Mode A (80%): explain, model, practice, check, and test; high guidance to establish foundations.
Mode B (20%): exploration, hands-on work, open-ended projects, and inquiry tasks; low guidance to promote application.
Goal: start with Mode A to build foundation and then move toward Mode B for independent application and transfer.

Explicit instruction is a whole pedagogy, not just a one-off explanation; it moves from modelling and explanation to independent practice.
It builds from minute foundations to more complex applications, emphasizing the entire task rather than isolated facts.
It is dynamic and checks for understanding frequently (e.g., every $3$–$4$ minutes: 3\text{--}4\text{ minutes}) and withdraws guidance as learners demonstrate mastery.
It avoids a drill-and-kill approach and aims to develop knowledge and skills for further learning, not just memorisation.
Guidance should be adjusted using ongoing assessment; withdraw supports if learners are ready or provide extensions as needed.

Inquiry should be grounded in prior knowledge; knowledge-first inquiry where students build upon a solid foundation.
Whole-class explicit instruction can level the playing field and support equitable inquiry.
For relative novices or beginners, explicit instruction is often the best starting point before moving to inquiry tasks.

IB-style inquiry is not inherently incompatible with science-of-learning principles; it depends on implementation and context.
Messages from different resources should be contextualised: consider learners’ current level and whether a minimally guided or fully guided approach best serves them.
Balance is key: ensure novices receive sufficient explicit teaching, then gradually introduce inquiry and independent learning.

Aim to fade guidance over time to promote independent learning while remaining responsive to diverse learner needs.
Use formative assessment to determine when to withdraw support, provide extensions, or differentiate tasks.

Inquiry should come from a foundation of knowledge; novices start with explicit teaching and knowledge-building.
As learners accumulate knowledge, they can engage more effectively in inquiry and open-ended tasks.
Expertise is relative to the domain and task; foundational learners can become experts in areas you teach as they develop.