Teaching, learning and assessment

Learning Theory: Cognitivism

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Cognitivism is a family of learning theories that treat learning as the processing of information in the mind: attention, memory, organisation and retrieval. It developed in part as a response to behaviourism, which focused on observable behaviour and consequences.

It is not one single school, and it is not the same as Piaget’s stage theory, Vygotsky’s social constructivism or Bandura’s social cognitive theory. Those ideas overlap with questions about thinking, but they should not be collapsed into one tradition. Last reviewed: 30 August 2026.

What cognitivism claims

On a cognitivist account, learners are not empty vessels. They notice some information, hold a limited amount of it in working memory, connect it to what they already know, and store organised knowledge that can later be retrieved. A common teaching implication is that new material should be structured so that working memory is not overloaded, and so that learners can attach it to existing knowledge.

Useful ideas that sit in or beside this tradition include:

  • Information processing: attending, encoding, storing and retrieving.
  • Schema: organised prior knowledge that shapes how new material is understood.
  • Retrieval: using stored knowledge later, which also strengthens it.
  • Cognitive load: working memory is limited. Instruction that adds unnecessary complexity makes learning harder. Cognitive load theory, associated with John Sweller, is one research programme on that point, not a synonym for all of cognitivism.

What it is not

  • Not Piaget as a rigid age ladder. Jean Piaget described sensorimotor, preoperational, concrete operational and formal operational stages. Treat those age bands as a historical model of development, not as universal clocks that every learner must hit.
  • Not Vygotsky. Lev Vygotsky’s work on social interaction, language and the zone of proximal development is better placed with social constructivism than with information-processing cognitivism.
  • Not Bandura. Albert Bandura’s social cognitive theory is about learning through observation, models and self-efficacy. It is neighbouring work, not a cognitivist sub-heading.
  • Not learning styles. Matching teaching to unsupported style categories (visual, auditory, kinaesthetic as fixed types) is not a cognitivist requirement and is not supported as a design rule here.
  • Not unguided discovery as a default. Jerome Bruner argued for learners constructing knowledge. Later evidence on complex new material often favours guided practice first. Discovery is a method, not a guarantee.

Classroom use

Start from what learners already know. Present a small amount of new material at a time. Make the organising structure visible. Ask them to retrieve, explain or apply it, rather than only re-reading. Give feedback that names the thinking, not only the score. Reduce decoration and extra instructions that do not serve the task.

Related: Behaviourism and Constructivism.

Sources

  1. Piaget, J. Work on cognitive development stages, commonly summarised as sensorimotor, preoperational, concrete operational and formal operational. Treat as historical developmental theory.
  2. Sweller, J. Cognitive load theory and the limits of working memory in instructional design.
  3. Bruner, J. Work on discovery learning and modes of representation. Use with later evidence on guidance.

Learning Theory: Behaviourism

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Behaviourism is a family of theories that treat learning as a change in observable behaviour, shaped by what happens in the environment: stimuli, responses, and the consequences that follow. It asks what an organism does, not what it is thinking.

It is not the same as cognitivism, which is about mental processes such as attention and memory. It is not constructivism, and it is not a complete account of classroom learning. Last reviewed: 31 August 2026.

What behaviourism claims

In its psychological form, behaviour is explained by external physical stimuli, responses, learning history and, for much of the later work, reinforcement. John B. Watson argued that psychology should be a science of behaviour, not of inner mental life. Ivan Pavlov showed that a previously neutral stimulus can come to elicit a response after it is paired with one that already does. Edward Thorndike’s law of effect said that responses followed by satisfying outcomes become more likely. B. F. Skinner developed operant conditioning: behaviour is strengthened or weakened by its consequences.

Two classroom-relevant mechanisms:

Mechanism What changes Example
Classical conditioning A stimulus that was neutral starts to elicit a response because it was paired with one that already did A sound that has reliably preceded food later elicits salivation on its own
Operant conditioning A behaviour becomes more or less likely because of what follows it A response that is followed by a reward is more likely to be repeated when the same conditions recur

In operant work, reinforcement increases a behaviour and punishment decreases it. Negative reinforcement is not punishment: it increases a behaviour by removing something aversive (for example, fastening a seatbelt to stop a warning sound). Positive punishment adds something aversive; negative punishment removes something valued.

What it is not

  • Not a theory of understanding. It does not explain how learners organise meaning, retrieve knowledge or think about their thinking. That is the job of cognitivism.
  • Not cognitive-behavioural therapy. CBT uses behavioural methods alongside work on thoughts. It is a later clinical tradition, not Watson or Skinner’s definition of learning.
  • Not “all special education”. Applied behaviour analysis is a later applied programme that uses operant methods. It is not the same as the learning theory, and it is contested. This page does not treat it as a teaching default.
  • Not unguided discovery, and not learning styles. Those belong to other debates.

Classroom use

Use it where the goal is a specific, observable performance: accurate recall of a procedure, a routine, or a response that needs to become reliable. Give a clear stimulus, require the response, and follow it quickly with feedback that either strengthens or corrects it. Keep practice short and frequent. Token economies, drills and worked examples with immediate knowledge of results sit in this family.

Do not use it as the whole of teaching. Reinforcement can produce compliance without understanding. Punishment can suppress a behaviour in that room without teaching what to do instead. If the aim is explanation, transfer or judgement, switch to a cognitivist or constructivist task.

Related: Cognitivism and Constructivism.

Sources

  1. Graham, G. (2023). Behaviorism. Stanford Encyclopedia of Philosophy. Substantive revision 13 January 2023. https://plato.stanford.edu/entries/behaviorism/
  2. Watson, J. B. (1913). Psychology as the behaviorist views it.
  3. Pavlov, I. P. Work on classical conditioning. Thorndike, E. L. Law of effect. Skinner, B. F. Operant conditioning and reinforcement, including the position summarised in (1).

Digital learning in South Africa

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This page is a reading of digital learning in South Africa against a State of the Nation framing: skills, work and schooling, not a live commentary on the latest speech. Infrastructure, teacher skill and curriculum still decide whether digital tools matter.

Last reviewed: 31 August 2026. Figures quoted from older reports are historical. Do not treat them as this year’s census.

State of the Nation

SONA speeches have repeatedly named education, skills and the digital economy. Naming them is not the same as delivery. Read any speech against what schools can actually do with devices, data and time.

The future of work

Work is more digital than it was. That does not mean every learner needs the same software stack. It does mean literacy, numeracy, and the ability to learn a tool, remain the base.

Skills needed in South Africa

Technical and vocational routes, workplace learning, and science and mathematics teaching at school level still carry more of the load than a new app. Digital learning helps when it extends those, not when it replaces them on a weak connection.

How might this look?

Blended use in schools that already have power and a teacher who can run the class. Offline or low-data materials where they do not. National platforms only help if teachers are trained and the content matches CAPS or the school’s curriculum.

Related: benefits of digital education and are South African schools ready?

Everything you’ve ever wanted to know about Bloom’s Taxonomy

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Bloom’s Taxonomy is a framework for describing educational objectives in the cognitive domain. A committee chaired by Benjamin Bloom published the original handbook in 1956. A 2001 revision, led by Lorin Anderson and David Krathwohl, restated the levels as verbs and added a knowledge dimension.

It is a widely used planning tool. It is not “the most important education framework”, and it does not by itself prove that learning must always move in a strict ladder. Last reviewed: 30 August 2026.

Bloom's Taxonomy cognitive levels
The six revised cognitive levels. Use them as a planning language, not as a law of the brain.

Who was involved

Bloom chaired the group. He did not invent every later domain by himself. The 1956 handbook is the cognitive domain. Affective objectives were published later. Psychomotor taxonomies were developed by other authors. Krathwohl worked on the original project and on the revision, so “two former students of Bloom” is the wrong story for Anderson and Krathwohl together.

The six revised levels

  1. Remember: retrieve knowledge.
  2. Understand: construct meaning.
  3. Apply: use a procedure in a situation.
  4. Analyse: break material into parts and relate them.
  5. Evaluate: judge against criteria.
  6. Create: put elements together into a new product or structure.

The 2001 revision also asks what kind of knowledge is in play: factual, conceptual, procedural or metacognitive. A remember task about a procedure is not the same as a remember task about a name.

A worked example

In a lesson on water safety: remember the named signs; understand what “strong current” means; apply the rule to a new beach photo; analyse why two sources disagree; evaluate which warning is clearer for Grade 5; create a short briefing for parents. Each step needs its own evidence. The verb alone is not enough.

Limits

The original authors did not claim that the brain always works in one direction, or that remembering requires no understanding in any sense. Teachers should not treat lower levels as worthless, or higher levels as moral superiority. For ready-to-use questions see question stems. For alignment of objectives, activities and assessment see the practical guide. For digital tasks see Bloom’s Digital Taxonomy.

Sources

  1. Bloom, B. S. (ed.) (1956). Taxonomy of Educational Objectives. Handbook I: Cognitive Domain.
  2. Anderson, L. W. and Krathwohl, D. R. (eds.) (2001). A Taxonomy for Learning, Teaching, and Assessing.
  3. Krathwohl, D. R. (2002). “A Revision of Bloom’s Taxonomy: An Overview.” Theory Into Practice 41(4), 212-218.

Computational thinking in African schools

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At the recent Innovation Africa conference, many African educational ministries discussed ‘readying’ their learners for the much-hyped 4th Industrial Revolution and developing 21st Century Skills to advance their economies. These skills are an undefined issue, which many education ministries are attempting to solve through providing digital content and devices in the hope that these skills are acquired as a side effect of technology usage. In Botswana, the MOBE initiated a pilot of digital devices and content, with Microsoft and partners, to foster these skills.

In Zimbabwe, a new curriculum is rolling out with a subject Internet Communication Technology, including basic digital literacy as well as sections on digital citizenship and coding skills. The recent curriculum reform in Ghana sees a strong focus on ICT-integration and a new subject, Computing, which covers ICT (operating a computer, word processing, databases, etc.) and internet skills. Nigeria is a tech-aspirational market with a keen interest in internet technology and the entrepreneurial opportunities it offers. In South Africa, the message around the 4th Industrial Revolution is consistently reiterated through government as well as party political communication channels as well as ongoing communication from the Department of Basic Education.

South African Coding and Robotics Curriculum

According to the basic education minister, Angie Motshekga, the South African government is developing curricula for coding and robotics for grades R to 9 to create sustainable industrialisation and keep pace with the world.

Computation thinking in South Africa – driven by coding and robotics

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Learning with mobile devices

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A comparison of four mobile learning pilots in Africa

For the past few years, I have been involved in several projects aimed at delivering education via mobile devices. These include providing local language (for many African languages) children’s reading books to Worldreader for distribution on feature phones, developing a bilingual maths dictionary Android app for isiXhosa learners, and supporting the Gauteng Education Department’s Paperless Classroom digital rollout by providing textbooks on tablets via the Snapplify e-reader. These projects all involved repurposing existing print material for use on a mobile device, so I was very interested in reading Shafika Isaacs, Nicky Roberts and Garth Spencer-Smith’s recent paper (in the South African Journal of Education) where they compared four mobile learning projects across Africa.

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Disruption in education – are South African schools ready for the 4th Industrial Revolution?

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The “Fourth Industrial Revolution” is a slogan for a cluster of digital, automation and data changes in work and production. South African schools are not uniformly ready for that cluster. Readiness here means power, devices, teacher skill, curriculum and time, not a lab opening.

Last reviewed: 31 August 2026.

Skills for the 21st century

The useful core is still literacy, numeracy, collaboration, and being able to learn a new tool. Coding and robotics can sit on that core. They do not replace it.

The three Ls

Literacy, numeracy and, in a digital setting, a third literacy: judging information and using a device without being used by it. See internet and social media literacy.

Why this matters

Employers and universities still need people who can read a problem and persist. Digital tools change the surface of some jobs. They do not remove the need for those habits.

How can South African schools prepare learners?

Fix the basics in the classroom you have. Add digital tasks where access is real. Train teachers on the tool you actually use. Do not buy a platform as a substitute for those steps.

Related: digital learning in South Africa and Foundation Phase teaching.

How the Best Teachers use Bloom’s Taxonomy in their Digital Classrooms

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Bloom’s Digital Taxonomy is Andrew Churches’ 2008 adaptation of the revised Bloom framework for digital classroom tasks. It does not mean that a named app sits at a cognitive level. The objective, the reasoning required and the assessment criteria set the demand. The tool is only the medium.

This page is the digital-task companion to a beginner introduction and a practical guide. It is personal commentary, not a new official taxonomy. Last reviewed: 30 August 2026.

Bloom's Taxonomy diagram
The revised cognitive levels still organise the work. Digital tasks sit under those levels; they do not replace them.

Who developed it

Benjamin Bloom chaired a committee whose 1956 handbook described educational objectives in the cognitive domain. Later work covered the affective domain. Other authors developed psychomotor accounts. Lorin Anderson and David Krathwohl led the 2001 revision. Krathwohl had also worked on the original project, so it is misleading to call both men simply “former students of Bloom”.

Andrew Churches mapped digital activities onto the revised verbs: remember, understand, apply, analyse, evaluate, create. His contribution was a classroom heuristic for the then-new web, not a replacement of the 2001 knowledge dimension.

How to use it without chasing tools

Ask what the learner must do with knowledge, then pick a durable digital task type. Avoid mapping “Google = remember” or “Wikipedia = apply”. Searching can be recall, or it can be analysis, depending on the question.

Level Digital task types that can fit Safeguard
Remember Retrieve a fact from a named source; list; bookmark for later use Do not require public accounts for basic retrieval
Understand Summarise in own words; tag and group sources; explain a diagram Check copyright before copying text or images
Apply Use a method in a new example; edit a shared document to a brief School-approved tools only; no personal data in public wikis
Analyse Compare sources; sort survey or class data; identify bias in a page Consent before surveying people; no contacting strangers
Evaluate Judge a source against criteria; moderate a comment with a rubric Age, privacy and school policy before any public critique
Create Produce an original digital artefact that meets a brief Accessibility, attribution, and no pressure to publish commercially

Obsolete consumer tools such as Delicious, Google Bookmarks and consumer Skype should not be taught as current practice. If a platform has closed or changed, keep the task type and change the example.

AI in this picture

Generative AI can support drafting, practice questions or feedback sketches at several levels. It does not create a separate “AI taxonomy”, and it does not handle “lower-level” thinking on the learner’s behalf. The tool still does not set the cognitive level. The task does. If the learner only pastes a prompt and submits the output, the cognitive work has not been done. Keep learner data inside approved systems, and require human review of anything that will be marked or published.

If you now want classroom prompts that you check against a real task, use 10 simple prompts for Cambridge teachers.

Related: What is Bloom’s Taxonomy?, question stems, and the practical guide.

Sources

  1. Bloom, B. S. (ed.) (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain.
  2. Anderson, L. W. and Krathwohl, D. R. (eds.) (2001). A Taxonomy for Learning, Teaching, and Assessing.
  3. Churches, A. (2008). Bloom’s Digital Taxonomy. Classroom adaptation of the revised taxonomy for digital tasks.

Digital education in South Africa

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What’s going on in schools?

Despite much talk from government about the needs to ready learners for the the 21st Century workplace, when it comes to state-funded schools, the South African reality is one characterised by a lack of access to technical support, unreliable internet connectivity, security concerns and limited funding for teacher training which has been slowing down the broader uptake of digital education. Despite these infrastructural issues, there is a growing interest in digital education in South Africa, often spearheaded by politicians eager to make electoral gains. On the ground, these issues are being tackled by a combination of government initiatives supported by tech companies – such as Samsung, Intel and Microsoft –  and NGO-led interventions. This often results in a haphazard implementation of digital education and a proliferation of pilot projects. 

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How edtech can equip learners with the right skills for the 4th industrial revolution

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✨ Updated November 2025: Now with AI-powered approaches to building future-ready skills

In recent times there has been much talk of a ‘4th industrial revolution’, as the lines between physical and digital experiences blur more and more. What exactly is the 4th industrial revolution and what skills can edtech help learners develop?

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What are the benefits of digital education?

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Digital education is teaching and learning that uses digital tools, content or networks as part of the work, not only as a display. The benefits are real when access, teacher skill and the task line up. They are not automatic.

Last reviewed: 31 August 2026.

Understanding the benefits of digital education

Two questions help: does this change how teaching and learning can happen, and does it help learners operate in a world where a lot of work and information is digital? If the answer to both is no, the tool is decoration.

A variety of teaching and learning methods

Digital tools can vary pace, source and task type in one class: a short video, a shared document, a simulation, a quiz that shows who is stuck. That is useful only if the teacher still owns the learning goal.

Equipping learners to function in the digitised 21st Century

Learners still need to read, calculate, collaborate and judge sources. Digital education can practise those skills on the media they actually meet. It does not replace them.

Cognitive skills

Critical thinking, problem solving and creativity can be taught without devices. Digital work helps when it lets learners compare sources, test an idea, or make something they could not make on paper. See Bloom’s Taxonomy for the cognitive demand of the task, not the brand of the app.

Personalised learning

Software can offer extra practice or a faster track. That is useful when the teacher can still see who is guessing, who has no device at home, and when to stop the playlist.

Expanded learning

Work can continue outside the lesson if learners have access. If they do not, “expanded learning” becomes homework inequality. Plan a paper alternative.

Increased engagement

Game elements and current content can raise effort. Engagement is not the same as learning. Check what was understood.

Assessment for learning

Digital quizzes can show a class profile quickly. Use that to change the next task. For the method, see assessment for learning.

Related: technology in the classroom and the ICT glossary.