read the conclusion of both claims below, to evaluate the argument, “ Should Artificial Intelligence (AI) be used in education?”
• in a short paragraph, 4 to 5 sentences
• State: what is the claim of each conclusion, summarize each claim.
• State whether the reasoning for each argument is sound?
• Determine does each claim have relevant and significant evidence? Explain how you know?
Conclusion of claim #1: Based on the stated facts and evidence in the podcast above, using Artificial Intelligence would affect the education of students. The next generation of this world would not have the same ability to write and think clearly. If everyone uses AI to answer questions and write essays, then what is the point of having proper education? Students should all strive to learn and do their best on their own, but if students get used to a chatbot doing it all for them then what true intelligence do they have? Everyone is capable of learning and doing good, they just have to take time to do so.
Conclusion of claim #2: In conclusion, AI in education holds lots of potential to enhance personalized learning experiences for students without jeopardizing human connections. By personalizing lessons and providing real time feedback, AI contributes to a more effective educational environment. AI should be embraced for its ability to cater to individual learning needs, as it can adapt to a students pace and style. Some argue though that AI might hinder human connection in the learning process, but I think the possibilities that AI offers in education are endless, and it’s responsible implementation can ensure a brighter future for students regardless of learning ability.
Claim #1 concludes that using Artificial Intelligence in education will negatively impact students' ability to write and think clearly. The reasoning is that if students rely on AI to answer questions and write essays, they will not be challenged to learn and improve on their own. The evidence provided is the concern that students will lose the true intelligence and capability to learn if they become dependent on AI. The reasoning for this argument is somewhat sound, but the evidence provided is mainly based on speculation rather than concrete examples or data.
Claim #2 concludes that AI in education has the potential to enhance personalized learning experiences for students without sacrificing human connections. The reasoning is that AI can personalize lessons, provide real-time feedback, and adapt to students' individual learning needs, ultimately creating a more effective educational environment. The evidence provided includes the benefits of personalized learning and the potential for AI to cater to diverse learning styles. The reasoning for this argument is sound, and the evidence provided is relevant and significant as it demonstrates the positive impact that AI can have on education.