Paul, Shauna and John explore the integration of AI in education, focusing on its role in safeguarding, the balance between human interaction and AI, and the implications of personalised AI for youth. The discussion also addresses the reliability of exam marking, the importance of early intervention, and the impact of class sizes on learning. The panel emphasises the need for transparency in educational practices and the potential risks associated with commercial interests in AI.
- AI should be used cautiously in educational settings.
- Human interaction is irreplaceable in safeguarding children.
- AI can help identify emotional distress but lacks human understanding.
- Trust in AI must be built through transparency and education.
- Personalised AI can influence youth's decision-making.
- Commercial interests may conflict with educational goals.
- Exam marking is often unreliable and subjective.
- Early intervention is crucial for children's development.
- Class sizes significantly affect the ability to provide support.
- Emotional and behavioural issues often go unnoticed in large classes.
Sound bites
"AI can fill the gaps of being human."
"AI can't detect sarcasm or humour."
"Exams are unreliable and subjective."
Chapters
00:00 Introduction to AI in Education
01:33 The Role of AI in Safeguarding
06:24 Human Interaction vs AI in Education
08:16 Trust and Intrusiveness of AI
12:53 The Presentation of AI: Human-like or Not?
15:44 Personalised AI and Its Implications
18:46 Commercial Interests vs Student Well-being
22:06 Exam Marking Errors and Accountability
27:09 The Accuracy of Exam Grading
30:42 The Subjectivity of Exams and Its Impact
34:13 Challenges in the Exam System
39:54 The Importance of Early Years Education
43:24 The Role of Class Size in Early Intervention
49:08 Emotional and Behavioural Challenges in Learning
54:20 The Need for Effective Intervention Strategies
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