Explicit Teaching¶

Strategy · All strategies
Evidence · 6 claims (5 for, 1 mixed) · 14 studies (6 quant-synthesis, 4 causal, 2 review, 2 theoretical), q2–q4 · 5 of 14 report an effect size · 1 claim rests on one study

Description¶

Explicit teaching is a structured approach in which the teacher decides on the learning intentions and success criteria, makes them transparent to students, and demonstrates the target skill or concept through modelling. Instruction proceeds through showing and explaining, guided practice with checks for understanding, and a closing segment that revisits and ties together what was covered. It is the practical enactment of teacher-led, fully guided instruction rather than discovery-oriented learning.

Design Implications¶

Explicit teaching reduces ambiguity about what success looks like and lowers the working-memory burden of unguided search, consistent with evidence that fully guided instruction benefits novices more than minimal-guidance approaches Worked examples reduce unnecessary search for novices. [+M] and that cognitive overload degrades learning when learners must simultaneously discover content and learn it Cognitive overload degrades learning. [+S]. Its effectiveness depends on active processing during and after modelling: explanation alone, without checking for understanding and student practice, produces shallow engagement Active learning improves exam performance. [+S].

Context¶

Requirements¶

• Clearly defined learning intentions and success criteria, communicated in learner-accessible language
• Modelling of the desired outcome — thinking made visible, not just the end product (see Cognitive Apprenticeship)
• Frequent checks for understanding (questioning, brief check-ins) with reteaching when understanding is incomplete
• Guided then independent practice opportunities within and across lessons
• Lesson closure that revisits and consolidates the content
• Clearly defined learning intentions and success criteria communicated to students (Clear Structure)
• A modelled demonstration with reasoning made visible (Direct Instruction)
• Frequent checks for understanding with immediate corrective feedback
• High rates of student response during guided practice, not passive listening

Constraints¶

• Purely didactic delivery without student activity is less effective than explicit teaching interleaved with practice and discussion Active learning improves exam performance. [-S]
• Overly detailed explanation can become redundant for learners with strong prior knowledge, reducing its benefit Worked-example guidance becomes less effective as learner expertise increases. [~M]
• Modelling a single method can anchor learners to one approach; contrasting cases mitigate this Comparing contrasting cases improves learning. [+M]
• If success criteria are vague or purely procedural, students learn to comply rather than to understand the underlying concepts
• Can anchor learners to a single taught method, limiting transfer to novel problems if examples are not varied [~M]

Implementation Variability¶

• Vary the level of support and modelling by student need — more scaffolding for novices, faded models as competence grows
• Whole-class explicit teaching can be combined with subsequent collaborative or independent work
• In digital environments, explicit teaching takes the form of narrated demonstrations, worked examples, and adaptive hints
• Direct Instruction (DI) — scripted, tightly sequenced programs with choral responding (e.g., Engelmann's Reading Mastery)
• Explicit Direct Instruction (EDI) — teacher-authored lessons following a modelling–guided practice–independent practice cycle
• Rosenshine's Principles — a flexible set of teaching behaviours (small steps, questions, models, checks) rather than a script
• Faded guidance — moving from full modelling to partial prompts to independent work as competence grows

Target Learners¶

• Novices and learners with limited prior knowledge, who benefit most from fully guided instruction Worked examples reduce unnecessary search for novices. [+M]
• All learner levels, with the degree of guidance adjusted downward as expertise develops Worked-example guidance becomes less effective as learner expertise increases. [~M]
• Learners who benefit from reduced ambiguity, including those with attention or language-processing needs
• Struggling learners and students with learning difficulties, for whom unguided discovery is least effective [~S]

Target Learning Goals¶

• Procedural skill acquisition and accurate execution of defined processes
• Conceptual understanding built through clear explanation and modelling
• Metacognitive awareness of what quality performance looks like (success criteria)
• Procedural skill acquisition: decoding, arithmetic operations, grammar, lab techniques
• Foundational conceptual knowledge that later supports transfer
• Strategy use: teaching cognitive and metacognitive strategies step by step

Instructions¶

1. Set the learning intention and success criteria; state them in student-friendly language and post them visibly (an advance organizer [+M] for the lesson).
2. Model the target skill or concept, narrating decisions aloud so reasoning is observable — the modelling phase of Cognitive Apprenticeship.
3. Check for understanding through targeted questioning or brief check-ins; reteach immediately where understanding is incomplete.
4. Move to guided practice, then independent practice, fading support as competence grows.
5. Close the lesson by revisiting what was covered and connecting it to the success criteria and prior learning.

Related Strategies¶

• Direct Instruction — the highly scripted pattern that explicit teaching generalizes from
• Cognitive Apprenticeship — situates modelling within a broader modelling–coaching–fading sequence
• 4C/ID Four-Component Instructional Design — embeds explicit supportive information within whole learning tasks
• Explicit reading strategy instruction following the WWW&H rule: explain, model, and support strategy implementation with guided practice
• Worked Examples — a demonstration format central to the modelling phase of explicit teaching
• Think-Aloud Modeling — the narration method that makes modelling effective
• Scaffolded Questioning — the primary check-for-understanding technique during guided practice
• Make success criteria visible to students through explicit explanations, think-alouds, and co-construction

Examples¶

• Explicit Direct Instruction (EDI) — a widely implemented lesson structure (activate prior knowledge → explain → model → guided practice → closure) used across thousands of schools; see DataWORKS Educational Research.
• Rosenshine's Principles of Instruction — a research synthesis translating effective explicit teaching into ten classroom principles, including daily review, modelling, and checks for understanding (AFSA).
• Khan Academy — narrated video modelling of problem solving followed by practice with on-demand hints, an online analogue of the model–check–practice cycle.
• Direct Instruction — the full instructional pattern; explicit teaching is its core delivery method
• National Institute for Direct Instruction (NIFDI) — implements scripted DI programs such as Reading Mastery and Connecting Math Concepts (https://www.nifdi.org)
• Rosenshine's Principles of Instruction — widely adopted as a professional development framework in UK schools (e.g., via the Education Endowment Foundation)
• Archer & Hughes (2011) — codified the 16 elements of explicit instruction used in US special education practice

Key Sources¶

• Rosenshine, B. (2012). Principles of instruction: Research-based strategies that all teachers should know. American Educator, 36(1), 12–19.
• Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge. doi:10.4324/9780203887332
• Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. doi:10.1207/s15326985ep4102_1
• Sweller, J., & Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 2(1), 59–89. doi:10.1207/s1532690xci0201_3
• Freeman, S., et al. (2014). Active learning increases student performance in science, engineering, and mathematics. PNAS, 111(23), 8410–8415. doi:10.1073/pnas.1319030111
• Stockard, J., Wood, W. W., Coughlin, C., & Rasplica Khoury, C. (2018). The effectiveness of Direct Instruction curricula: A meta-analysis of a half century of research. Review of Educational Research, 88(4), 479–507. doi:10.3102/0034654317751919
• Archer, A. L., & Hughes, C. A. (2011). Explicit instruction: Effective and efficient teaching. Guilford Press.
• Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge. doi:10.4324/9780203887332