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Thursday, November 14, 2024

Synthetic Intelligence vs. Human Mind


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Ross Morrison McGill based @TeacherToolkit in 2007, and as we speak, he is likely one of the ‘most adopted educators’on social media on the planet. In 2015, he was nominated as one of many ‘500 Most Influential Individuals in Britain’ by The Sunday Occasions because of…
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Can synthetic intelligence suppose like a human mind?

New analysis explores the similarities and distinctions between AI and the human mind, shedding mild on how these insights may affect instructing and studying.

An Approach to Understanding Similarities Between AI and the Human BrainThis latest research, An Method to Understanding Similarities Between AI and the Human Mind (Mishra et al., 2024) reveals intriguing similarities — and important variations — between synthetic intelligence (AI) and human cognition.

The researchers centered on deep neural networks (DNNs), a subset of AI impressed by the human mind, inspecting whether or not these programs really course of data as people do.

Whereas AI mirrors sure sample recognition processes, the analysis additionally highlights the place neural networks fall brief in adaptability and contextual understanding.

I think most individuals studying this may already be utilizing some type of AI of their private life, and even within the classroom. My query is, how do the AI instruments you employ reply to human context?

Properly, it’s going to come as no shock that AI …

Lacks the flexibility to adapt to emotional cues or context

As AI instruments make their approach into school rooms, academics want to grasp the nuances. How lengthy earlier than AI can genuinely reply to human feelings and really situations?

Whereas AI can improve sure features — reminiscent of offering personalised studying information or adaptive assessments — it lacks the innate potential to adapt to emotional cues or advanced contextual shifts.

By recognising these limitations, academics could make extra knowledgeable choices about methods to incorporate AI thoughtfully, and ethically into their classroom.

Reflection Questions for academics

  1. How do academics use AI to enrich, reasonably than substitute, present instructing strategies?
  2. May AI’s sample recognition assist with personalised suggestions in school rooms?
  3. How can AI be used responsibly to boost college students’ studying experiences?
  4. In what methods can AI help in formative evaluation, and the place may it fall brief?
  5. How can academics stay crucial customers of AI, guaranteeing moral and efficient use?
  6. How may academics introduce AI’s function and limitations to college students?
  7. What sensible steps can academics take to mix AI insights with conventional instructing strategies?
  8. How ought to college leaders tackle considerations round AI and scholar information privateness?
  9. May AI instruments assist detect gaps in scholar studying that will in any other case go unnoticed?
  10. How can academics keep away from over-relying on AI in choices that want human perception?

All these questions and extra, are at present being addressed by shoppers of synthetic intelligence. Maybe in a future weblog put up, I’ll determine my prime 10 sources!

Lecturers eager to discover the potential of AI of their school rooms ought to strategy with a transparent understanding of what AI can—and can’t—do. The analysis concludes:

Prediction is inherently tough … and is unlikely within the subsequent 5 to 10 years.

Obtain the complete paper to be taught extra.



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