# data[].attributes.attachment_link.title
แผนการจัดการเรียนรู้แบบ Active Learning โดยใช้เทคนิคการเรียนรู้แบบร่วมมือ สำหรับชั้นอนุบาล 3 โดยใช้โปรแกรม ChatGPT

# data[].attributes.headline
นางสาวกาญจนา  ลิ้มเจริญ

# data[].attributes.subject
นางสาวกาญจนา  ลิ้มเจริญ

# data[].attributes.body
แฟรชการ์ด

# data[].attributes.attachment_link.readable_text
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

# data[].attributes.attachment_link.title
อาหารดีมีประโยชน์ ชั้นอนุบาล 3 - Edcafe AI

# data[].attributes.attachment_link.description
นี่คือชุด Flashcards ที่ออกแบบมาเพื่อช่วยนักเรียนชั้นอนุบาล 3 เรียนรู้เกี่ยวกับอาหารดีมีประโยชน์ พร้อมประโยชน์และคำอธิบายของอาหารแต่ละชนิด.

# data[].attributes.attachment_caption
ใบงานโดยโปรแกรมclaue

# data[].attributes.headline
นางสาวกาญจนา ลิ้มเจริญ

# data[].attributes.subject
นางสาวกาญจนา ลิ้มเจริญ

# data[].attributes.body
https://claude.ai/public/artifacts/9edb0956-b434-4353-a47e-e252bde8080a ใบงานโดยโปรแกรมclaue