Concept-Based Learning: Teaching for Deep Transfer

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September 9, 2026

Concept-Based Learning: Teaching for Deep Transfer

Concept-based learning moves beyond topic coverage to transferable understanding. Erickson's model, with strategies for primary and secondary schools.

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Main, P. (2024, April 26). Concept-Based Learning: Teaching for Deep Transfer. Structural Learning. https://www.structural-learning.com/post/concept-based-learning

Concept-Based Learning: Teaching for Deep Transfer is a way to design curriculum. It organises facts, skills and vocabulary around ideas that transfer, such as change, systems, power or evidence. This matters because learners do not transfer knowledge just by memorising more content. They need well organised schemas, metacognitive monitoring and repeated chances to use ideas in new contexts (Brown, 1987; Bransford, Brown, & Cocking, 2000).

In a Year 7 history lesson, a teacher might teach the factual causes of the Industrial Revolution, then ask learners to test the concept of change against a science unit on states of matter and a geography unit on urbanisation. The concept is useful only when learners can explain what stays the same, what changes, and what evidence supports the comparison.

Key Takeaways

  1. Concept-based learning is important for encouraging deep transfer of knowledge, enabling learners to apply understanding across diverse contexts. This approach moves beyond rote memorisation, promoting flexible thinking essential for navigating new problems and situations, as highlighted in research on how people learn and achieve expertise (Bransford, Brown, & Cocking, 2000). It equips learners with transferable conceptual frameworks rather than isolated facts, enhancing their ability to solve novel problems.
  2. Concept-based curricula provide the essential "third dimension" for learning, moving beyond mere content and skills acquisition. By structuring learning around enduring understandings and generalisable concepts, educators can develop learners' capacity for deeper thinking and meaning-making (Erickson, 2017). This conceptual lens allows learners to connect discrete facts and skills into a coherent framework, making learning more meaningful and enduring.
  3. Concept-driven inquiry is important for developing critical thinking and understanding, preparing learners for a world where factual recall is less valuable than analytical prowess. Engaging learners in inquiry-based learning around essential questions, as advocated by Wiggins and McTighe (2005), cultivates higher-order thinking skills and a genuine understanding of complex ideas. This approach moves learners from passive recipients of information to active constructors of knowledge, encouraging intellectual independence.
  4. Concept-based learning inherently breaks down artificial subject boundaries, revealing interconnectedness and enhancing interdisciplinary understanding. By focusing on overarching concepts like 'systems', 'patterns', or 'change', learners can identify common threads and relationships across subjects, from mathematics to history (Bruner, 1960). This integrated perspective helps learners build a more comprehensive and coherent view of the world, transforming how they approach new learning challenges.

What is Concept-Based Learning?

Concept-based learning organises curriculum around broad concepts that transfer, such as systems, change, power and evidence. It still teaches factual knowledge and skills. Teachers can use inquiry. However, novice learners usually need clear vocabulary, worked examples and guided practice before they explore concepts more openly (Kirschner, Sweller, & Clark, 2006; Sweller, 1988).

Monday Morning Action Plan

3 things to try in your classroom this week

  • 1
    Display a concept question on the board as learners enter, such as 'How does change affect systems?' and ask them to think about it silently.
  • 2
    Introduce a 'Concept Connector' activity: Print a simple table with three columns: 'Concept', 'Subject', 'Example'. Choose a concept like 'patterns', and have learners work in small groups to fill in the table with examples from different subjects they are studying.
  • 3
    Use a 'Concept Reflection' journal prompt: At the end of the lesson, ask learners to write a short paragraph answering the question: 'How does the concept we explored today connect to something you've learned in another subject or outside of school?'
  • structural-learning.com

The aim is transfer. A learner who studies "systems" in science should later recognise system features in economics, grammar or a school council decision. Teachers make this more likely by naming the concept, teaching the facts that give it substance, and asking learners to explain where the concept does and does not apply.

Concepts should guide the unit. They should not replace subject knowledge. In a three-dimensional curriculum, teachers link concepts, content and skills through questions, guided practice and well-chosen examples. The key test is whether learners can use a concept such as "cause", "pattern" or "responsibility" to explain new material while staying accurate in the subject.

Concept-Based Learning: Teaching for Deep Transfer infographic comparing Concept-Based Learning, Transferable Skills, and Inquiry for teachers
Traditional vs. Concept-Based Learning

The knowledge-rich argument and the concept-based approach are usually set against each other. They should not be. Concepts are the load-bearing walls that stop a knowledge-rich curriculum collapsing into a pub quiz, and Counsell (2018) makes the same case from the other direction, arguing that coherence comes from how knowledge is sequenced and connected rather than from how much of it appears on the list.

Try it in a KS3 history department. Keep every date, statute and figure in the Year 8 unit on the 1832 Reform Act, and add one line to the knowledge organiser: "Power shifts when holding it costs more than conceding it." Learners test that sentence against the Chartists and against the 1918 Representation of the People Act, then write which of the three fits it least well and why. The factual load does not shrink. It acquires a spine.

Theoretical Framework Behind Concept-Based Learning

Concept-based learning is best seen as a way to design a curriculum. It is not a stand-alone intervention. Erickson (2007) and Wiggins and McTighe (2005) argue that teachers should start with the understandings that transfer, then pick the facts, words and tasks that make those ideas precise.

That is why teacher-facing sources such as Atlas Curriculum Mapping, Inspiring Inquiry and Professional Learning International work as implementation guides. Any research claim still needs named evidence behind it.

Cognitive science backs the parts beneath this approach more strongly than it backs the branded model as a whole. Work on schema building, category learning and conceptual change shows what learners need first: repeated examples, contrast cases, and their misconceptions put right (Vosniadou & Mason, 2022). Only then can they transfer ideas.

The route differs by subject. Science concepts often need misconceptions repaired, while history and English need careful work on evidence, interpretation and point of view.

 

Understanding Concepts vs. Rote Memorisation

Concept-based approaches embrace concepts and allow them to drive the content and process skills through inquiry. This learning is blended and connected to real life and the world, in authentic ways and enables the development of deeper thinking.

Concept-based teaching works best when learners build knowledge through examples, talk and careful comparison. Vygotsky (1978) argued that social interaction and scaffolding shape learning, but scaffolding still needs clear teacher guidance. For example, a teacher might model two examples of "adaptation" first. Learners could then compare a desert plant, a polar animal and a character adapting to a new setting.

The most useful planning tool in the whole approach takes four lines on a sheet of A4. Erickson calls it the Structure of Knowledge. Facts sit at the bottom: the 1832 Reform Act. Topics organise them: Victorian reform.

Concepts pull back from the topics: power, franchise, protest. Generalisations sit at the top and say how two or more concepts relate, such as "Groups excluded from power organise to make exclusion expensive". The facts are the evidence for that top sentence, not a list to be got through.

Write the generalisation before you write the lesson. In a Year 9 biology unit the teacher drafts "Organisms that match their environment more closely leave more offspring". She then picks three cases that test it: peppered moths, antibiotic resistance and a desert succulent.

Learners rank the three by how well each one supports the sentence, then justify the ranking in a paragraph. That ranking is the assessment. It shows whether conceptual understandings have formed, or whether learners are reciting a definition they were handed (Wiggins & McTighe, 2005).

The interplay matters more than either level on its own. Erickson calls it synergistic thinking: factual knowledge and conceptual understanding working on each other, so the facts make the concept precise and the concept makes the facts retrievable. Bruner (1960) made the same claim about structure being what keeps detail available months later, and Ausubel (1963) tied retention to how firmly new material anchors onto what a learner already holds. Neither argument licenses skipping the detail, which is the misreading a concept-based curriculum most often suffers.

Concepts help learners think more deeply. They use higher-order skills that can transfer to new work (Erickson, 2002). A three-dimensional curriculum teaches concepts alongside content and skills (Wiggins & McTighe, 2005). This approach makes learning more effective for the learner.

Content saturation is the honest reason to bother. Specifications keep growing and teaching time does not. Teach a course as a flat list and you overload working memory before anything settles.

Conceptual organisation is a way of compressing that load. There are fewer things to hold, and each one carries more. So choose six examples that make a concept precise, rather than sixteen that cover the specification thinly, then use retrieval practice on the six until they are secure.

Levels of Thinking in Concept-Based Learning

Conceptual learning depends on moving between three things: recalling facts, using skills, and explaining ideas. The knowledge base is not optional. Learners cannot compare "systems" in biology and economics unless they know the parts, the processes and the words in each subject.

Comparison diagram showing traditional 2D learning versus concept-based 3D learning models
Side-by-side comparison diagram: Traditional vs Concept-Based Learning Models

The stronger route is sequence first, abstraction later. Teach the facts, model comparison, then ask learners to explain a concept in a new example. This reduces working memory load and avoids the mistake of asking novices to think like experts before they have enough knowledge to organise their thinking.

Benefits of Concept-Based Learning

Concept-based learning helps learners understand more deeply and build useful skills. Learners can use these skills, says Hattie (2009), to solve complex issues. Wiggins and McTighe (2005) suggest this prepares learners for a fast-changing world.

  • Enhanced Understanding: By focusing on core concepts, learners move beyond rote memorisation and learn how subject knowledge fits together.
  • Transferable Skills: Concept-based learning creates the development of transferable skills such as critical thinking, problem-solving, and creativity, which can be applied across disciplines and in real-world situations.
  • Purposeful Engagement: Concept-based learning can improve motivation when inquiry follows clear teaching, useful examples and well sequenced practice.
  • Interdisciplinary Connections: Concept-based learning helps learners connect different subjects while keeping each subject's evidence, vocabulary and methods clear.
  • Preparation for Future Learning: By teaching concepts alongside facts and skills, concept-based learning helps learners apply knowledge in unfamiliar problems without losing subject accuracy.

Practical Strategies for Implementing Concept-Based Learning

Start with one unit, not a whole curriculum. Take something you already teach well, name the concept it is really about, and change nothing else this term. Use it as a starting point for professional discussion: identify the learner's current need, record evidence from more than one lesson, and agree the next classroom adjustment with the SENCO or family.

In a KS2 science unit on materials the teacher writes "properties determine use" at the top of the planning sheet. She keeps the existing practicals and adds one task. Learners choose the best material for a lunchbox and justify the choice against three properties they have actually tested.

What learners produce is a written justification, not a poster. That is a concept-based approach at a scale a department can survive (Erickson, 2002).

  • Identify Core Concepts: Begin by identifying the core concepts within your subject area. These should be broad, abstract ideas that can be applied across different contexts.
  • Develop Inquiry-Based Questions: Write open questions that ask learners to test a concept against specific evidence, examples and counterexamples.
  • Design Learning Experiences: Use worked examples, discussion and problem-solving so learners can compare how a concept works across several cases.
  • Teach Connections: Help learners connect concepts to prior knowledge, classroom examples and other subjects without making loose comparisons.
  • Assess Understanding: Use short explanations, comparison tasks, projects and written reflections to check whether learners can transfer the concept accurately.

Concept-based learning gives learners a clear reason to compare ideas across subjects. A Year 5 class studying "change" might sort examples from evaporation, the Industrial Revolution and line graphs, then explain what kind of change each example shows. This keeps transfer visible and assessable.

Improving Deep Transfer

Concept-based learning goes beyond content alone (Erickson, 2002). It helps learners think critically and solve problems. Understanding travels best when inquiry comes after explicit teaching, interleaving, comparison and retrieval practice (Wiggins & McTighe, 2005; Kirschner, Sweller, & Clark, 2006).

Learners meet the subject first. They then return to the big ideas through spaced retrieval, so they can recall them and use them in new settings (Karpicke, 2008; Hattie, 2012).

Concept-based learning can engage learners in classrooms. Guide learners to explore big ideas, as Wiggins and McTighe (1998) suggest. Help learners connect ideas and use knowledge creatively, like Marzano (2000) proposed. This develops understanding, making learners active, per Hattie (2009).

Assessing Learning in Concept-Based Curricula

Assess the transfer you can actually get, not the transfer the brochure promises. Near transfer means a learner applies an idea to a task built the same way. That kind is reliably teachable.

Far transfer is the most deflating finding in the field. Detterman (1993) reviewed the experimental record and found that far transfer almost never happens on its own. Barnett and Ceci (2002) show why, by mapping how far apart two tasks sit on subject, place, time and mode.

Concept-based assessment should test more than recall (Erickson & Lanning, 2014). But the target you can defend is short-range transfer, taught on purpose, rather than distant transfer left to chance.

Perkins and Salomon (1992) supply the working fix. Low road transfer comes from heavily practised routines that fire automatically. High road transfer comes from deliberate abstraction, where learners state the principle and then go looking for it. That looking has to be taught.

In a Year 7 maths lesson the teacher asks learners to write out "Proportion is a fixed multiplicative relationship between two quantities". They then find it in a science practical on concentration and a geography task on map scale. Each learner produces three worked examples, one non-example, and a line on what breaks the relationship.

Performance-based tasks are key. Instead of asking learners to define photosynthesis, teachers could use scenarios. Learners explain plant growth variations by applying their knowledge of systems and energy transfer. This shows if learners understand the ideas (Wiggins, 1998).

A conceptual rubric needs three columns and fits on one side of A4. Column one is factual: can the learner state it. Column two is conceptual: can the learner explain how two ideas relate. Column three is transfer: can the learner use that relationship on material nobody has taught them.

In a Year 9 history lesson it reads like this. Factual: name the year and the terms of the treaty. Conceptual: explain how economic pressure produced political tension.

Transfer: apply that relationship to a news item the class has not studied, in five sentences, naming what evidence would change the judgement. Marking the third column is where teachers find out whether conceptual understandings are real (Wiggins, 1998; McTighe & O'Connor, 2005).

Portfolios work well in concept-based learning. They help learners record how they understand core concepts.

A Year 8 geography portfolio could show how well learners grasp "interdependence" (Wiggins & McTighe, 2005). The idea links living systems with world trade (Darling-Hammond et al., 1995). Portfolios also show how that grasp grows over time (Erickson, 2002).

Peer assessment and self-reflection let learners explain what they know. Learners solidify learning when they link "balance" to maths and chemistry (Black & Wiliam, 1998). Teachers then see where learners still need help (Sadler, 1989; Boud, 1995).

Concept mapping software lets teachers see learner thinking. This helps track how understanding grows (Novak, 1972). Visuals pinpoint misconceptions and show learner progress (Ausubel, 1968; Jonassen, 2000). This benefits both teachers and learners.

Creating Conceptual Units Across Subjects

Wiggins and McTighe (2005) suggest careful planning is needed for conceptual units. UK schools often start by choosing 6 to 8 key concepts that thread through the curriculum. This only supports transfer when teachers also map the factual knowledge, vocabulary and examples needed in each subject.

Backwards design helps teachers create units. Start with enduring understandings (Wiggins and McTighe, 2005). Then, identify the content and skills learners need. A Year 5 "Change" unit links science (states of matter), history (Industrial Revolution), and maths (data).

Sort the two kinds of concept before you plan anything jointly. Some concepts belong to one subject and bring its methods with them: homeostasis in biology, tonality in music, tectonics in geography. Others travel well: change, system, power, evidence.

Only the travelling kind survives a move between departments. Push a subject-bound concept across the corridor and you get a loose comparison, and that is what makes subject specialists distrust the whole exercise.

Align examples, do not merge subjects. When a KS2 science lesson covers adaptation, the English teacher compares how a character adapts to a new setting and the maths teacher looks at how a data representation changes for a different audience. Learners keep one page headed "adaptation" with a single entry per subject and a closing line stating what the word means in each, in that subject's own terms. The concept is shared; the evidence, vocabulary and method stay where they belong.

Essential questions keep conceptual units focused on big ideas rather than discrete topics. Instead of asking "What is the water cycle?", teachers might ask "How do systems maintain balance?" or "What happens when systems are disrupted?" Learners can then compare the water cycle, economic systems and the school playground as a social system.

Concept-based units usually move through three classroom phases: hook, exploration and synthesis. The hook wakes up what learners already know. Exploration gives them several examples, and synthesis asks them to use the concept somewhere new.

Take a "Power" unit. Learners might study power in a novel, compare it with political power in history, then suggest a fairer way to make class decisions.

Teachers choose resources for units. They use varied materials, not just textbooks, to show concepts (Erickson, 2002). Primary sources and current events help learners explore ideas. Learners understand scientific phenomena and maths patterns (Wiggins & McTighe, 2005).

Common Implementation Challenges and Solutions

A concept-based curriculum usually fails for a timetabling reason, not a pedagogical one. Schools change the language of planning without changing sequencing, assessment or staff time, and the approach dies in that gap. Treat it as a multi-year curriculum project with a named budget line, because the resource it consumes is joint planning time, the scarcest thing a secondary timetable holds. Where inspection, GCSE and SATs pressure still rewards fast factual recall, a whole-school switch in one September raises workload and lowers attainment.

The operational fix costs less than most leaders expect, so do not buy cross-departmental planning days. Publish a single-page concept calendar instead, showing which half term each department teaches change, system, power and evidence. Ask heads of department to align the sequence only, never the tasks.

It needs twenty minutes of an existing briefing each half term: bring your sequence, mark where your subject meets each concept, leave. Departments keep their own schemes and their own assessment, so the extra cost is a meeting already in the diary.

Teachers often worry about coverage because the risk is real. Concepts do not make content optional. A safer route is to teach core knowledge first, then use concepts such as "cause and consequence" to organise and revisit that knowledge across examples.

Parents can resist change, especially in traditional subjects. Schools are more likely to succeed when they explain learning outcomes clearly. They can also show what learners understand. Parent workshops build knowledge (Hattie, 2012) and support (Epstein, 2011).

Staff confidence can dip during the transition. Teachers may be asked to plan abstract inquiry, redesign assessment and produce new resources at the same time. Leaders should protect planning time, use shared unit templates, and start with one subject or year group before scaling.

Curriculum demands can make time feel tight. Schools often succeed when they start small. They might use concept-based teaching in one subject, or use afternoons for inquiry projects (Wiggins and McTighe, 2005).

In this way, teachers build confidence alongside normal lessons.

SATs and GCSE preparation can reveal weak implementation. Learners still need fluent recall, accurate vocabulary and exam practice. Concept work should organise knowledge so learners can use it later. It should not replace interleaved examples, spaced practice, worked examples or low-stakes testing (Karpicke, 2008; Wiliam, 2011).

Resource limits do not have to stop implementation. Concept-based activities need planning time more than extra resources. Schools must give teachers time to plan and build resource collections for conceptual work (Wiggins & McTighe, 2005).

This supports learning across subjects (Erickson, 2002; Hattie, 2012).

Teacher and learners use collaborative inquiry, concept mapping and visible thinking in an international school classroom.
International Inquiry Learning in Action in practice: learners make inquiry thinking visible through talk and concept mapping.

AI-Enhanced Concept Mapping and Adaptive Learning

In 2026, generative AI makes concept mapping cheap and fast. Tools can draft links between "systems", "change" and "power" across subjects in seconds, so the planning bottleneck shifts from producing maps to checking whether the links are accurate, age-appropriate and grounded in subject knowledge (UNESCO, 2024; OECD, 2026).

Teachers can use AI as a first draft, not as authority. For a Year 8 unit on "systems", an AI map might link cells, markets and school rules. Learners then verify each link, reject weak comparisons, add evidence from lessons and explain which subject details cannot be transferred.

The sharper question is not what AI drafts for you. It is what it removes from learners. When a model returns a fluent synthesis in four seconds, the schema-building that used to happen while a learner struggled to connect two ideas does not happen at all, and Lodge et al. (2023) identify this cognitive offloading as the central risk generative AI poses to learning, well ahead of assessment integrity.

That makes conceptual schema the thing worth defending. In a Year 10 English lesson the teacher hands out an AI-written paragraph comparing change in An Inspector Calls with change in a history unit on 1945. Learners mark every claim the model could not have checked.

They produce an annotated copy with three or four unsupported links circled, plus a sentence on what evidence would settle each one. The prose is the machine's. The conceptual work stays human.

Reviews of digital concept-mapping tools suggest they can support knowledge transfer when learners use them to organise their understanding (Novak, 1972). Teachers should watch for bias in algorithms. Machine learning should fit good teaching, not just boost clicks.

Essential Concept-Based Learning Resources

The reading below is a starting point for a department meeting rather than a bibliography. Take one text, read one chapter, and bring a unit of your own to rewrite against it.

  • Concept-based curriculum
  • Conceptual learning research
  • Wiggins and McTighe (2005) give key insights. Erickson (2002) explains concept-based curriculum design. Hattie (2009) shows how visible learning affects the learner.

    • Erickson, H. L. (2002). Concept-based curriculum and instruction: Teaching beyond the facts. Corwin Press.
  • Erickson, H. L., Lanning, L. A., & French, R. (2017). Concept-based curriculum and instruction for the thinking classroom. Corwin.
  • Hattie, J. (2012). Visible learning for teachers: Maximizing impact on learning. Routledge.
  • Wiggins, G., & McTighe, J. (2005). Understanding by design. Association for Supervision and Curriculum Development.
  • Free Resource Pack

    Download this free SOLO Taxonomy, Frayer Model & Thinking Frameworks resource pack for your classroom and staff room. Includes printable posters, desk cards, and CPD materials. Use it in a department meeting: take one unit, name the concept it is really about, and rewrite its first lesson.

    Side-by-side comparison showing traditional learning vs concept-based learning approaches
    Learning Models Comparison

    IB Approaches to Learning
    ATL Skills Activity Mapper
    Select a skill category and age group to discover practical classroom activities
    Select a skill category and programme above to see recommended activities
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    Limitations and Critiques

    Concept-based learning has a stronger basis as curriculum design than as a tested intervention. Erickson's model has shaped planning in International Baccalaureate and inquiry-based schools, but the full model has not been tested through many controlled comparative studies. Claims about transfer should therefore be tied to narrower evidence on schema construction, retrieval practice and conceptual change rather than treated as proof of the whole approach (Erickson, 2007; Karpicke, 2008; Vosniadou & Mason, 2022).

    A second criticism concerns novice learners. Kirschner, Sweller and Clark (2006) argue that minimal guidance can overload working memory, especially when learners lack the background knowledge needed to see patterns. Concept-based teaching can confuse the expert state, organised conceptual knowledge, with the instructional route novices need. In many classrooms, explicit teaching, worked examples and vocabulary instruction must come before open inquiry (Sweller, 1988).

    There are also cultural limits. Concepts such as "civilisation", "progress" or "order" can present particular Western, middle-class assumptions as neutral. Critical curriculum scholars warn that curriculum knowledge is never culturally empty (Ladson-Billings, 1995; Young, 2008). Schools should ask whose examples, histories and forms of evidence are being used.

    The enduring value of concept-based learning is that it keeps teachers focused on transfer, but its use is strongest when paired with subject knowledge, explicit instruction and careful assessment.

    Frequently Asked Questions

    Defining Concept-Based Learning Fundamentals

    Concept-based learning uses broad ideas to connect facts, skills and subjects. It aims for deep transfer: learners use a concept such as "change" or "systems" in a new context, while still drawing on accurate subject knowledge (Erickson, 2007; Stern, Ferraro, & Mohnkern, 2021).

    Classroom Implementation Steps

    Concept-based learning starts with key concepts in your curriculum. Design lessons that encourage learners to explore these concepts. Help learners connect ideas and use their knowledge practically. Ask questions to guide thinking and improve discussions (Erickson, 2002).

    Benefits and Evidence Boundaries

    Concept-based learning helps learners understand better and think critically. It builds skills they can transfer, connecting different subjects. This makes learning more relevant and interesting for learners. It also prepares them to use knowledge and solve problems (Erickson, 2002).

    Common Mistakes in Concept-Based Learning

    A common mistake is asking learners to inquire into abstract concepts before they have enough knowledge. Teach examples, vocabulary and worked models first, then ask learners to compare cases and test a generalisation. This balances content, concepts and skills without overloading working memory (Kirschner, Sweller, & Clark, 2006; Sweller, 1988).

    Signs Concept-Based Learning Is Working

    Concept-based learning improves understanding and thinking. Do learners transfer knowledge between subjects? Can they connect ideas and solve problems? Observe their work and get regular feedback (Wiggins & McTighe, 2005).

    Written by the Structural Learning Research Team

    Reviewed by Paul Main, Founder & Educational Consultant at Structural Learning

    References

    Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms.

    Karpicke, J. (2008). The critical importance of retrieval for learning.

    Vygotsky, L. (1978). Mind in society: The development of higher psychological processes.

    Further Reading: Key Research Papers

    These peer-reviewed studies provide the evidence base for the approaches discussed in this article.

    Instructors' attitudes to concept-based statistics teaching were measured. A scale was developed and validated for health and behavioural science courses. The study supports the importance of teacher attitudes when adopting concept-based statistics teaching.

    R. Hassad (2010)

    found teachers' views on concept teaching matter. Successful use needs more than content. UK teachers should consider how they feel about teaching statistics. This reflection should improve learner understanding and use of concepts.

    Problem-based learning supports creative thinking. Learners actively engage with real-world problems. This approach improves their critical thinking. Implement problem-based learning in your classroom. It helps learners develop important skills.

    H. Awang & Ishak Ramly (2008)

    Problem-based learning can help learners think creatively. It aligns with concept-based learning aims. Teachers can design lessons applying concepts to new situations. This promotes understanding and transfer, according to.

    Santamaria, Alcalde, & Galarza (2021) present a new method. It blends performing arts learning, both online and in person. This model helps learners following COVID-19 disruptions, they argue (Santamaria, Alcalde, & Galarza, 2021).

    Qingyun Li et al. (2021)

    Concept-based learning helped performing arts during the pandemic. Teachers can find new context inspiration to engage learners (Nicholson, 2020; O’Sullivan, 2021; Race, 2022).

    A Proof-of-Concept Study of Game-Based Learning in Higher Education 124 citations

    Francesco Crocco et al. (2016)

    Game-based learning can improve outcomes, say researchers. UK teachers can use this as proof it works. Game strategies within learning frameworks improve learner engagement and understanding.

    Concept-Based Learning: Teaching for Deep Transfer infographic showing the benefits of concept-based learning, deep transfer, and inquiry for teachers
    Concept Thinking Levels

    Paul Main, Founder of Structural Learning
    About the Author
    Paul Main
    Founder & Metacognition Researcher

    Paul Main is an educator and metacognition researcher who founded Structural Learning in 2002. With a psychology degree from the University of Sunderland and 22+ years helping schools embed thinking skills, he bridges the gap between educational research and classroom practice. Fellow of the RSA and Chartered College of Teaching, with 128+ Google Scholar citations.

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