ECE6071 Chap.10 Generative AI in Early Childhood Settings
Generative AI in Early Childhood Settings
The question the older readings could not ask
The AI session opens by asking how using generative AI affects children, and then stages a debate on whether AI is a friend or a foe for children, with acceptance and resistance as the two sides.
The week’s compulsory discussion asks whether AI could reshape early childhood education, and a news reading asks students to consider how AI is changing the way young children are educated. This chapter gives you a way to take a position that can be argued with.
Four roles for AI
The session names four roles: AI as tools, AI as buddies, AI as tutors and AI as literacies.
The first three describe what AI does for a child or teacher, producing content, keeping company, teaching. The fourth makes AI the thing being learned about.
Many classroom uses sit in the first two roles, so a useful critical question is whether an activity ever reaches the fourth.
Two cases
The first is an AI-powered educator’s aide, listed in an app store with a 17+ age rating, that helps teaching teams write summative assessments and learning stories about children.
The second is a kindergarten anniversary project in which children used a popular generative AI app by voice to create a birthday song, then performed it at an outdoor concert with costumes and handmade instruments.
A group activity asks students to explore one multimodal function of such an app for early childhood use.
Two learning models
The session contrasts learning from human beings, with limited feedback, with learning from networked smart robots drawing on big data, with unlimited adaptive feedback, and asks which is more efficient and whether traditional learning theories can explain the second.
Use Chapter 2’s lenses to answer.
What this chapter covers
- 01
How generative AI use affects children
- 02
Friend or foe: acceptance and resistance
- 03
AI as tools, buddies, tutors and literacies
- 04
An educator’s aide and the child indirectly affected
- 05
A child-led birthday song project
- 06
Human and networked learning models
- 07
Taking an arguable position
Worked example · free
Classify three uses by role
- 3Assign a role to each use.
- 3Judge which offers the most learning about AI and justify it.
Key terms
- AI as Buddies
- A role in which an AI system keeps a child company or converses with them, such as a chatbot or companion robot.
- AI as Tutors
- A role in which an AI system teaches a child, often adapting questions and feedback to the child’s responses.
- AI as Literacies
- A role in which AI becomes the object of learning, so children come to understand how such systems work and where they fail.
- Learning Story
- A narrative record of a child’s learning written by educators, which some AI tools now help to draft.
- Adaptive Feedback
- Responses that change according to a learner’s previous answers, which networked AI systems can give without limit.
- Multimodal Function
- A capability of an AI app that works across forms such as speech, images, video and text.
Generative AI in Early Childhood Settings FAQ
Is generative AI a friend or a foe for young children?
The course stages this as a debate rather than settling it. A defensible position depends on the role the AI plays: it is more clearly a friend when children remain the authors and learn how the tool works, and more clearly a foe when it replaces play or collects data without purpose.
What are the four roles of AI in early childhood education?
AI as tools, AI as buddies, AI as tutors and AI as literacies. The first three describe what AI does for a child or teacher; the fourth makes AI the subject of learning. Classifying an activity by role is a quick way to see what it can and cannot teach.
Can traditional learning theories explain learning with AI?
This is the question the AI session leaves open. Sociocultural theory, for example, stresses a more knowledgeable other who knows the child, while networked AI offers unlimited feedback without that relationship. Arguing where older theories fit and where they strain is a strong basis for a presentation.
Assessment move
Collect two generative AI uses from real kindergartens or news reports and classify each by role. Then write one change that would move each towards the literacy role. Practising that move prepares you for both the discussion posts and a critical review.
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