Back

A new year and another new initiative

1 September 2025

The concept of learning styles—the idea that individuals learn better when taught in their preferred sensory modality (e.g., visual, auditory, kinesthetic)—has been widely popular in education. However, despite its appeal, the theory has been largely debunked by empirical research. Here’s a breakdown of the origins, popularity, and scientific critique: 

 Origins and Popularity 

  • Early Theories: The idea of learning styles can be traced back to educational psychology in the 20th century. One of the most influential models was the VARK model (Visual, Auditory, Reading/Writing, Kinesthetic), developed by Neil Fleming in the 1990s. 
  • Appeal: It resonated with educators and learners because it emphasised personalisation and seemed intuitive—people often feel they have a preferred way of learning. 

Scientific Research and Debunking 

  • Key Issue: The central claim is that matching teaching styles to a student’s preferred learning style improves learning outcomes. This is known as the “meshing hypothesis.” 
  • Major Review: In 2008, a comprehensive review by Pashler et al. in Psychological Science in the Public Interest concluded that:  There is no adequate evidence base to justify incorporating learning styles assessments into general educational practice.” 

Findings

  • Studies that properly tested the meshing hypothesis (i.e., using randomised controlled trials and measuring actual learning outcomes) did not find support for it. 
  • People may have preferences, but teaching to those preferences does not improve learning
  • Content matters more: The best modality often depends on the subject matter (e.g., diagrams for geometry, audio for music), not the learner. 

What Actually Works 

  • Cognitive science supports strategies like: 
  • Spaced repetition 
  • Retrieval practice 
  • Interleaving (mixing different topics or skills) 
  • Dual coding (combining words and visuals) 
  • These methods are evidence-based and improve learning across the board, regardless of “style.” 

Why It Still Persists 

  • Confirmation bias: People remember when their preferred style seemed to help. 
  • Commercial interests: Many companies sell learning style assessments and training. 
  • Intuitive appeal: It feels personalised and empowering, even if it’s not effective. 

Want to know more? Watch the full video on our YouTube channel – At the chalk face.

For more educational news, check out the At the Chalk Face YouTube playlist HERE.

Visit our website to explore more cutting-edge tech-transforming news in the computer science world!

Related posts

Education in the shadows: Who’s running our schools?

Angela Rayner’s resignation has reshaped the cabinet, but education remains on the sidelines. With major challenges still unresolved, schools need urgent attention.

12 September 2025

GCSE Results analysis 2025

GCSE results 2025 reveal a system still finding its balance: sciences excel, core subjects like English and Maths remain challenging, and Computer Science faces unique hurdles. Discover what this means for students, teachers, and the future of education.

9 September 2025

Is reading necessary?

Reading isn’t a luxury—it’s a necessity. In Computer Science, it builds vocabulary, improves comprehension, and helps students connect abstract concepts to the real world.

6 September 2025

Is Apple in hot water?

Apple has removed its Advanced Data Protection feature from the UK rather than comply with government demands to weaken encryption. This bold move has sparked a global debate over privacy, security, and the future of digital rights.

2 September 2025

Did Deepseek change AI?

DeepSeek, a Chinese AI startup, is turning heads with powerful models built for a fraction of the usual cost. Its rapid rise is shaking up Silicon Valley—and challenging the big players like never before.

26 August 2025

What’s the difference between Computer Science and Software Engineering?

Confused between Computer Science and Software Engineering? Discover the key differences between designing theoretical systems and building real-world software solutions.

19 August 2025

What is AI?

Artificial intelligence (AI) might sound like something out of a sci-fi movie, but in reality, it’s just a very clever way of processing data. If you’ve ever wondered how AI works but felt overwhelmed by tech jargon, let’s strip it back to the basics.

12 August 2025

Cambridge IGCSE (0478-0984) videos and PowerPoints updated

Following the release of a new syllabus for Cambridge IGCSE Computer Science we have updated our resources. This includes: Lesson […]

1 August 2025

How do computers generate random numbers?

Computers don’t naturally do random—they fake it using clever algorithms called pseudo-random number generators. But when true randomness is needed, they turn to the chaos of nature for help.

29 July 2025