Observing the computational concept of abstraction in blind and low vision learners using the Bee-bot and Blue-bot
2023

Understanding Abstraction in Blind and Low Vision Learners

Sample size: 9 publication 10 minutes Evidence: moderate

Author Information

Author(s): Anna van der Meulen, Mijke Hartendorp, Wendy Voorn, Felienne Hermans

Primary Institution: Leiden Institute of Advanced Computer Science, University of Leiden

Hypothesis

How do learners with visual impairments approach the computational concept of abstraction when using educational robots?

Conclusion

Learners with visual impairments engage in formal computational practices and use a mix of expected and alternative behaviors to understand abstraction.

Supporting Evidence

  • Blind learners used tactile and physical behaviors to engage in programming tasks.
  • Participants showed iterative actions of redesigning and debugging.
  • Understanding abstraction can lead to better educational support for visually impaired learners.

Takeaway

Kids who can't see well can still learn programming by using special robots, and they often find new ways to understand how things work.

Methodology

The study involved observing nine children with visual impairments as they completed programming tasks with Bee-bot and Blue-bot robots.

Potential Biases

The findings may be influenced by the specific context of special education settings.

Limitations

The study focused only on learners with visual impairments and did not include sighted learners for comparison.

Participant Demographics

The sample included three girls and six boys, with three having low vision and six being blind.

Digital Object Identifier (DOI)

10.1080/08993408.2023.2272232

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