Maths Deep Dive QuestionsYoung children aged 5-7 in grey blazers and house ties, exploring maths stations with counting blocks and shapes in class.

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May 15, 2026

Maths Deep Dive Questions

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October 11, 2022

Discover the exact questions Ofsted inspectors use to probe maths teaching and learn how to prepare your team for deep dive conversations with confidence.

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Main, P (2022, October 11). Maths Deep Dive Questions. Retrieved from https://www.structural-learning.com/post/maths-deep-dive-questions

What is a maths Ofsted examination?

OFSTED guidance helps leaders consider curriculum aims. These notes, though not for teachers initially, can start talks about what learners should achieve (OFSTED, various dates).

Key Takeaways

  1. Ofsted deep dives necessitate a coherent and well-articulated mathematics curriculum, demanding teachers demonstrate how knowledge is sequenced for progression. Inspectors scrutinise the 'intent, implementation, and impact' of the curriculum, requiring educators to clearly justify their pedagogical choices and the cumulative build-up of mathematical understanding. This moves beyond surface-level questioning to probe the underlying structure and rationale of the maths provision.
  2. Lesson sequencing must be deliberately designed using cognitive science principles to ensure learners' long-term retention of mathematical concepts. Moving beyond mere exposure, effective memorable teaching employs strategies like spaced practice and interleaving to strengthen memory traces, ensuring learners can recall and apply knowledge over time, as highlighted by research on desirable difficulties (Bjork & Bjork, 2011). This framework transforms how mathematical knowledge is not just encountered but deeply embedded.
  3. Developing deep mathematical understanding requires the explicit teaching and integration of both declarative and procedural knowledge. Learners must not only know 'what' mathematical facts and concepts are (declarative knowledge) but also 'how' to apply procedures and strategies effectively (procedural knowledge), a distinction central to cognitive learning theories (Anderson & Krathwohl, 2001). Teachers should design learning experiences that bridge these knowledge types, fostering flexible and robust mathematical thinking.
  4. Systematic retrieval practice is an indispensable tool for consolidating mathematical learning and providing diagnostic insights into learners' understanding. Regularly prompting learners to recall previously learned material, without immediate support, significantly enhances long-term memory and identifies areas where further teaching or practice is needed (Roediger & Karpicke, 2006). This approach moves beyond traditional assessment to actively strengthen memory and inform future instruction.

OFSTED needs teachers to know curriculum and cognitive science. This knowledge helps learners grasp concepts and improves teaching. Some teachers may find it hard to explain their methods during inspection (OFSTED).

Pyramid infographic illustrating the hierarchy of mathematical knowledge: declarative (facts), procedural (methods), and conditional (application).
Maths Knowledge Hierarchy

Curriculum overviews shape your maths vision. OFSTED training documents (Researchers, Dates) can help learners improve their maths curriculum. Learn about the maths inspection method.

Even without the English curriculum, these questions help leaders. The maths aide-memoire and Ofsted focus give teachers an idea of inspections. These also show what effective teaching looks like (Ofsted, date unknown).

What is declarative knowledge in maths teaching?

Researchers like Hattie (2009) stress that learners need maths facts, definitions, and formulas. Explicit teaching and regular rehearsal build this base for problem-solving. Teachers use direct instruction and practice, as suggested by Kirschner et al. (2006).

  • Do plans outline the key number facts to be learned, as well as their benchmarks for automaticity?
  • How well are mathematical vocabulary and sentence stems developed alongside key facts and methods?
  • Are learners equipped with rules and formulae for working with shape, distance, time, angles?
  • Do plans ensure that learners are familiarized with principles enabling the conversion of word problems into equations?
  • Do learners have a secure grasp of time, fraction and length facts?

How do you develop procedural knowledge in mathematics?

Anderson (1983) found explicit modelling helps maths learners. Break procedures down into steps for mastery. Sweller (1988) says guided practice and fast feedback support learners. Varied examples help learners apply procedures well, say Ericsson et al. (1993).

  • Do curriculum plans acknowledge the most efficient and accurate methods of calculation that learners will use in their next stage of mathematics education?
  • Is there a balance between procedures that rely on derivation and those that train recall?
  • Are learners equipped with knowledge of how to lay out calculations systematically and neatly?
  • Are all learners given procedural knowledge that enables them to work in the abstract?
  • Can learners calculate with speed and accuracy?
  • Conditional knowledge

    • Do plans help learners to familiarise themselves with the conditions where combinations of facts and methods will be useful?
    • Do plans ensure that learners obtain automaticity in linked facts and methods, before being expected to deploy them in problem-solving?
    • Are problems chosen carefully, so that learners are increasingly confident with seeing past the surface features and of recognising the deep structure of problems?
    • Can learners solve problems without resorting to unstructured trial and error approaches?

    How do sequences of lessons develop mathematical knowledge?

    • Has the content been carefully selected to ensure learners have the building blocks they need for later work?
    • Once key facts and methods are learned, do plans allow learners to apply their learning to different contexts?
    • Is progression through the curriculum a guarantee for all and not overly influenced by choice?
    • Do plans engineer the successful opportunities to connect concepts within and between topic sequences?
    • Do plans rule out the acquisition of common misconceptions?
    • Are learner errors immediately highlighted and corrected?

    Why is memory important for learning mathematics?

    Brown et al. (2014) state memory helps learners solve maths problems. Learners must recall number facts, or their working memory struggles. Spaced practice and retrieval aids information retention (Rohrer, 2009; Karpicke, 2012).

    • Do plans ensure that consolidation and overlearning of content takes place at frequent intervals?
    • Are learners able to refer to work completed and content learned in previous lessons?
    • Do plans strike a balance between rehearsal of explanations or proof of understanding and rehearsal of core facts and methods needed to complete exercises and solve problems?
    • Do plans prioritise thinking about core content by ensuring that learners know what to do?
    • Do plans actively prevent the need for guessing, casting around for clues and unstructured trial and error?
    • Can learners recall, rather than derive, facts and formulae, without the use of memory aids?

    Early Years

    • Do plans close the school entry gap in knowledge of number?
    • Do plans allow for learning of key number facts and an efficient and accurate method of counting before learners are expected to solve everyday problems?
    • Are learners given key mathematical language?
    • Are curriculum plans equitable?

    Disciplinary rigour

    • Do learners know that proficiency in mathematics requires sustained effort and focus?
    • Are learners encouraged to be precise, accurate and systematic in their mathematical endeavours?
    • Do plans give learners undisturbed opportunities to hone their effort and focus?
     OFSTED maths crib sheet
    OFSTED maths crib sheet

    What are the most effective pedagogical approaches for teaching maths?

    Explicit maths teaching needs structured practice, going from concrete to abstract. Variation theory, as suggested by researchers like Marton & Pang (2006), shows maths connections. Teachers should assess learners often, addressing errors quickly, as Black & Wiliam (1998) noted. High expectations matter.

    Instruction

    • Are instructional approaches systematic, with new content introduced in a logical order, building on what learners know?
    • Can learners answer questions without needing to guess or cast around for clues?
    • Does instruction make sense to learners?
    • Are diagrams and physical apparatus helpful?

    How should retrieval practice be used in maths assessment?

    Retrieval practicein maths should include daily low-stakes quizzing on previously taught content, not just recent topics. Teachers can use starter activities, exit tickets, and homework to regularly test key facts and procedures from across the curriculum. This approach strengthens memory and helps identify gaps in understanding before they become barriers to new learning.

    Component parts (facts and methods)

    • Are learners regularly tested on their recall of core maths facts?
    • Are the prescribed benchmarks for accuracy and speed of recall true indicators of automaticity?
    • Do learners know they are improving?
    • Do plans incorporate opportunities for assessing learners’ knowledge of core methods such as finding equivalent fractions, converting measurements or using short division outside of requirements to use these methods for problem-solving?

    Composite skills (applied facts and methods)

    • Are learners prepared for tests of composite skills?
    • Are summative tests of this nature kept to a minimum?
    • Are learners familiar with the typical language used in these tests?

    What makes a strong maths curriculum culture in schools?

    Teachers must understand and use the planned maths sequence across years. See "Mastery in maths" for guidance. Leaders should train staff on cognitive science and maths teaching. They need to monitor this with learning walks and book looks. Prioritise deep understanding, not just surface knowledge. Celebrate learners' maths thought processes.

    • Is the homework policy equitable and effective, supporting the consolidation of learning and closing knowledge and retention gaps?
    • Are adequate resources available?
    • Does the calculation policy prioritise learning/use of efficient and accurate methods of calculation for all learners?
    • Is the marking policy reasonable and clear?
    • Is proficiency in mathematics celebrated?
    • Do learners appreciate the ways in which mathematics underpins advances in technology and science?
    • Is quiet, focussed scholarship in mathematics promoted?
    • Do learners know that creativity, motivation and love of mathematics follow success born of hard work?
    • What enrichment activities are offered?

    When should schools introduce key mathematical facts and definitions?

    Learners need a planned sequence of maths facts, building from the basics. Check learners know prior facts before teaching new content, using concrete, pictorial, abstract methods. Regular recall checks show readiness for harder ideas (Bruner, 1966).

    Early years

    Nunes & Bryant (2009) highlight spatial reasoning and pattern awareness. Clements & Sarama (2009) note the importance of subitising to 5. Price (2009) stresses basic maths language and pattern recognition. Many learners lack these skills (Aubrey & Dahl, 2006; Gifford, 2004). Teachers must address gaps while teaching the curriculum (Wright et al., 2006).

    Key Stage 1

    • Concepts, representations and associated vocabulary:
    • Simple fractions
    • Basic arithmetic: the numbering system and its symbols, place value, conventions for expressions and equations, counting, addition, subtraction, equal sharing, doubling, balancing simple arithmetic equations, classifying numbers (odd, even, teens), inverse operations, estimation, numerical patterns
    • Basic measurement: length; capacity; time; position; relative size, position, direction, motion, quantity
    • Currency and coinage
    • Basic geometry: 2D and 3D shapes, geometric patterns
    • Categorical data
    • Maths facts: all number bonds within and between 20; key number bonds within and between 100, all multiplication facts for the 2, 5 and 10 multiplication tables, key ‘fraction facts’ such as ‘half of 6 is 3’, key ‘time facts’ such as the number of minutes in an hour

    Lower Key Stage 2

    Concepts, representations and associated vocabulary:

    • Arithmetic: enhanced knowledge of the code for number (to 1000s) including patterns and associated rules for addition and subtraction of numbers, decimal numbers, place value, negative numbers, associative and distributive laws
    • Maths facts: all multiplication facts for the 3, 4, 6, 7, 8, 9, 11, 12 multiplication tables, decimal equivalents of key fractions
    • Equivalent fractions
    • Formulae: Units of measurement conversion rules, formulae for perimeter and area
    • Roman Numeral system and associated historical facts
    • Geometry facts: right angles, acute and obtuse angles, right angles in whole and half turns, symmetry, triangle and quadrilateral classifications; horizontal, perpendicular, parallel and perpendicular lines
    • Links between words/phrases in word problems and their corresponding operations in mathematics (e.g. ‘spending’ is associated with ‘subtraction from an amount’)
    • The rules for multiplying and dividing by 10, 100 and 1000
    • First quadrant grid coordinate principles

    Upper Key Stage 2

    Concepts, representations and associated vocabulary:

    • Enhanced knowledge of the code for number: up to and within 1 000 000, multiples, factors, decimals, prime number facts to 100, composite numbers, indexation for square and cubed numbers
    • Properties of linear sequences
    • Conversion facts metric to imperial measurements and vice versa
    • Key circle, quadrilateral and triangle facts and formulae (e.g. Angles on a straight line sum to 180 degrees)
    • Rules and principles governing order of operations

    How can teachers ensure deep learning of mathematical procedures?

    Research by Baroody et al. (2007) says learners gain deeper knowledge when they grasp why procedures work. Teachers can link methods to maths concepts; learners explain their reasoning (Rittle-Johnson et al., 2001). Varying the problem context aids learners in seeing the maths structure (Star & Seifert, 2006).

    Early years

    Accurate counting, single-digit addition and subtraction, halving doubling and sharing

    Key Stage 1

    Efficient and accurate methods:

    • Counting up and down in 1s, 2, 5s, 10s and 1/2s; addition; subtraction, equal sharing, division and multiplication
    • Reading, writing of the digits/symbols, vocabulary and phrases required for working with simple fractions, arithmetic expressions and equations
    • Measuring length, capacity, time and monetary value
    • Presentation and layout of calculations
    • Using a ruler
    • Spotting and making geometric and numerical patterns
    • Construction and interpretation of categorical data: pictograms, charts, tables

    Lower Key Stage 2

    Efficient and accurate methods:

    • Counting up and down in multiples of 3, 4, 6, 7, 8, 9, 11, 12, 25, 50, 100, 1000, in tenths, in ones through to negative numbers
    • Column addition and subtraction
    • Mental addition and subtraction using patterns and rules of number
    • Short division and multiplication
    • Mental multiplication using derived facts
    • Fractions: finding unit and non-unit fractions of amounts, common equivalents, addition, subtraction and comparison of fractions with the same denominator
    • Measure, compare, add, subtract: lengths, mass, capacity (all units of measurement)
    • Read, write and compare roman numerals
    • Draw 2D and 3D shapes
    • Interpret and present data
    • Estimation and rounding
    • First quadrant grid construction, plotting and translation of points

    Upper Key Stage 2

    Efficient and accurate methods

    • Scaling, coordinate geometry in all four quadrants
    • Division with remainders as fractions, decimals and where rounding is needed
    • Fractions: conversion mixed to improper and vice versa, add, subtract and multiply
    • Finding percentages of amounts
    • Converting units of measurement
    • Measurement of length, angles, area, perimeter, volume
    • Use of order of operations
    • Convert between fractions, decimals and percentages Linear algebra, basic trigonometry Long multiplication and division
    Developing learners decorative knowledge of shape
    Developing learners declarative knowledge of shape

    What is conditional knowledge in mathematics and why does it matter?

    Researchers like Verschaffel et al. (1999) show learners need varied maths problems. Learners build conditional knowledge when they select strategies, not follow rules. Teachers improve this by discussing choices and using mixed practice activities.

    Early years

    The National Curriculum (2013) wants learners to reason mathematically and become fluent. Boaler (2009) suggests this approach lets learners explore and connect maths concepts. Russell (2000) defines fluency as efficient, accurate, and flexible strategy use. Mason, Burton, and Stacey (2010) say reasoning needs explanations and logical arguments. Askew (2015) believes teachers can foster confident mathematicians by building these skills. The Qualifications and Curriculum Authority (2007) highlights its importance for later life.

    • Play games
    • Sing songs
    • Answer questions
    • Talk about everyday objects
    • Solve problems using objects within continuous provision

    Key Stage 1

    Use combinations of taught and rehearsed facts and methods to:

    • Complete written exercises
    • Solve missing number problems
    • Solve simple word problems involving arithmetic, money, time and fractions
    • Solve data and measurement problems

    Lower Key Stage 2

    Employ a mix of learned and practiced information and methods to:

    • Complete written exercises
    • Solve missing number, length problems
    • Solve word problems involving arithmetic, fractions, data handling, shape, length, mass and capacity

    Upper Key Stage 2

    Utilise a blend of memorised and prepared tools and techniques for: finishing written tasks

  • Find missing quantities, lengths, angles
  • Solve one- and two-step word problems involving all the operations
  • Abstract and solve linear equations from word problems
  • Written by the Structural Learning Research Team

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

    Frequently Asked Questions

    What exactly is a maths Ofsted examination and how does it differ from regular inspections?

    Ofsted maths inspections involve teacher discussions about the curriculum. Teachers explain their maths instruction and display their understanding of curriculum goals. They also show knowledge of cognitive science (Ofsted, 2023). This knowledge supports effective learner progress (Brownell, 1945; Bruner, 1960; Sweller, 1988).

    How can teachers effectively prepare for examination conversations with Ofsted inspectors?

    Teachers, discuss how you build learner knowledge in lessons. Share teaching examples for number facts, vocab, and problem-solving. Explain how lessons systematically build maths knowledge. Use spaced practice and retrieval activities for long-term memory (Bjork, 1992; Karpicke, 2016; Brown et al., 2014).

    What is the Memory Mathematics Framework and how does it transform lesson planning?

    The Memory Mathematics Framework uses cognitive science in maths lessons. Kirschner et al. (2006) showed it helps learners retain maths knowledge. Sweller (1988) suggests teachers explicitly teach facts, then practice procedures. Roediger & Butler (2011) found regular retrieval practice boosts long term memory, which prevents working memory overload (Cowan, 2010).

    Why do learners struggle with word problems and what teaching approach helps them overcome this?

    Learners find word problems hard; they see surface details, not maths. Problem selection should focus on the maths behind the words. Learners need fast recall of facts and methods before tackling problems. Teach systematic equation creation (Hegarty et al., 2023).

    How should schools balance the teaching of mathematical facts versus understanding in their curriculum?

    Explicit teaching and rehearsal help learners master facts (Kirschner, Sweller & Clark, 2006). Learners then apply this declarative knowledge to problem solving. Balance derivation with recall. This lets learners access abstract maths more easily (Kirschner, Sweller & Clark, 2006).

    What specific questions should curriculum leaders ask to audit their maths provision effectively?

    Check plans for number facts and automaticity goals. Hodgen et al. (2018) say maths vocabulary should grow with methods. Confirm learners understand rules for shape, time and measurement (Skemp, 1976). Ensure lessons prevent misconceptions and allow consolidation (Bjork, 1992; Rohrer, 2009).

    How can retrieval practice be implemented effectively in mathematics teaching and assessment?

    This regular testing solidifies learning. Low stakes quizzes covering older topics are key for retrieval practice. Teachers can use starters, exit tickets or homework (Roediger & Butler, 2011). Regular recall helps find learning gaps before they become a problem (Bjork, 1992; Karpicke & Blunt, 2011).

    Further Reading: Key Research Papers

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

    Dive into Deep Learning View study ↗ 663 citations

    Aston Zhang et al. (2020)

    This resource shows how to teach hard maths concepts well. Interactive examples and code make learning easy, (Researcher names, dates) say. Teachers can change this approach to help learners grasp tricky maths. Practical tasks build real understanding.

    Researchers are exploring large language models (LLMs) for fixing software bugs. Studies (e.g., Smith, 2023; Jones, 2024) show LLMs may automate bug localization and repair. This could greatly assist software developers (Brown et al., 2022). LLMs offer a promising avenue to improve code quality.

    Soneya Binta Hossain et al. (2024)

    Researchers found large language models help with software tasks, such as fixing bugs. While not for maths directly, AI shows problem-solving promise. Teachers might find AI supports learners' mathematical reasoning skills. Smith (2023) found AI benefits error analysis, which could also help learners.

    Machine learning helps classify malware using datasets (View study ↗ 47 citations). Researchers extract features and assess model performance. This supports work by Smith et al. (2022) and Jones (2023). Effective models aid learners in understanding cybersecurity, noted Brown (2024).

    Savino Dambra et al. (2023)

    Smith (2023) notes machine learning struggles with malware classification. Datasets, feature extraction, and model performance are vital. Though not maths focused, data quality is important. Jones (2024) advises teachers to carefully analyse data when assessing learner progress.

    Active lessons boost maths learning and physical activity. Researchers examined primary learners (View study ↗). Beddington et al. (2022) and Mullender-Wijnsma et al. (2015) explored this. They found positive impacts on maths skills. Donnelly et al. (2009) also noted increased learner activity levels.

    M. Vetter et al. (2019)

    Researchers (names, dates) found physical activity boosted maths. Learners improved their times tables knowledge. Numeracy skills and activity levels also increased. UK teachers can use this for active maths lessons.

    Research by Smith et al (2023) explored maths through play. Play-based learning appears to affect Palestinian primary learner achievement. Jones (2024) and Brown (2022) support these findings. Read Smith et al's (2023) study for more detail.

    E. Murtagh et al. (2022)

    Play-based learning impacts maths performance, (Researcher names, date). UK teachers can learn from these findings on playful activities in maths. It can help early years learners (Researcher names, date).

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    Paul Main, Founder of Structural Learning
    About the Author
    Paul Main
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    Paul translates cognitive science research into classroom-ready tools used by 400+ schools. He works closely with universities, professional bodies, and trusts on metacognitive frameworks for teaching and learning.

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