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Integration of AI in the classroom
Integration of AI in the classroom
The examples we have shown here give some idea of the scope of neuroscience applications, and the degree to which developments in the field are coupled with artificial intelligence.
Significantly, AI is used to decode complex data to yield meaningful information. This is essential for advanced research brain activity, and will most likely aid with deeper understanding of how the mind works. Research publications in neuroscience have been steadily increasing, and this expanding body of knowledge offers more opportunities for applications to education.
This research is not solely of an academic nature. The number of patents being filed related to these fields is also growing. The importance of AI in medical contexts, including neuroscience, shows tremendous growth, indicating that many new technologies and ventures will follow.
AI can also be instrumental in bringing the benefits of neuroscience research into formats accessible to the general public. From software that can tailor materials to a user’s unique requirements to brain interface hardware that can generate useful outputs from non-invasive, consumer grade equipment, AI can be seen reducing the barriers to entry for users.
Annual patenting activity for medical machine learning technologies and legal status.
The potential for software only or software coupled with inexpensive sensors will be an especially large opportunity. As schools become more comfortable with technology in general, and AI in particular, the barriers to adopting neuroscience applications will become lower.
Neuroscience Informed Pedagogy
Neuroscience Informed Pedagogy
Educators will be heavily drawn to the possibilities of neuroscience to explain, support and enhance aspects of learning. In some ways, this is hardly new; educators have been trying implement better pedagogy via advances from psychology for some time, but a deeper understanding of brain mechanisms potentially offers new insights.
Of particular interest will be insights into the processes of learning, and the flipside, memory and forgetting. As our understanding of how people learn and retain knowledge, skills and concepts, the ways we approach teaching will be able to adapt to more optimal approaches. Especially coupled with the vast customization of digital technology, neuroscience informed teaching can deliver more adaptive and individualized learning tools.
While there is reason to be optimistic that neuroscience will offer benefits to education, the degree of impact remains to be seen. Implementing new approaches and tools will face ethical and logistical hurdles, which may be more substantial than some of the gains offered. For the near future, changes based on neuroscience will likely be incremental rather than revolutionary.
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