Blog
All blog posts
Posts by Katharine Childs
-
Not all explanations are equal: Social Explainable AI and Critical Computational Literacy
Teaching young people engage critically with AI-generated explanations
-
Embodied machine learning: From research ideas to classroom activities
Learning through embodied learning brings machine learning to life
-
Teaching about AI in K–12 education: Thoughts from the USA
Shuchi Grover shares practical insights about teaching AI in K–12 education
-
Using generative AI to teach computing: Insights from research
Can large language models improve students’ learning experiences in computing?
-
Adapting primary Computing resources for cultural responsiveness: Bringing in learners’ identity
How teachers tailor lessons to their students' cultural backgrounds
-
Insights into students’ attitudes to using AI tools in programming education
How do different students perceive and interact with AI tools?
-
Running a workshop with teachers to create culturally relevant Computing lessons
Professional development and collaborative planning
-
Introducing data science concepts and skills to primary school learners
Data literacy is the ability to ask questions, collect, analyse, and communicate about data
-
How can computing education promote an equitable digital future? Ideas from research
We need to do more, and sooner
-
Combining computing and maths to teach primary learners about variables
A practical example of cross-curricular teaching
-
Using relevant contexts to engage girls in the Computing classroom: Study results
Teaching Computing with relevant scenarios may engage more diverse learners
-
Non-formal learning activities: What do we know and how do we apply it to computing?
Insights from a literature review and a research project
