For edtech innovators looking for the next challenge, here are some ways Amazon Comprehend could potentially be developed to be used by educators and parents:
1. Nipping cyberbullying in the bud before it get outs of hand.
Social media has made us more connected than ever. However, the dark side of this hyperconnectivity has led to bullying outside of school hours. According to DoSomething.org, only 1 in 10 victims report cyberbullying to a parent or trusted adult, yet 70% of teenagers frequently see bullying online. Since social media is saturated with an endless feed of content, a lot of this harmful activity can slip under the radar.
By using Amazon’s services that can mass-analyze adjectives and sentiment, there could potentially be a way for parents or guardians to quickly flag negative comments, nipping cyberbullying in the bud.
2. Districts may efficiently interpret qualitative data from schools and parents.
For a student to have a well-rounded education, there’s constant back-and-forth from parents, from teachers, from administrators, from the district...and so on. Qualitative data like this is often the hardest to analyze and sift through, especially navigating the already-complex space of education. We believe, with a service such as Amazon Comprehend, administrators could efficiently go through text-based feedback and better understand the needs of the schools, parents, teachers, and students.
3. Teaching digital literacy in the age of fake news
Fake news is currently the top headline of, well, the news. How can an educator effectively teach students digital literacy, when even some adults can’t even tell the difference? According to the keynote from the AWS Summit, developers can build their own models within Amazon Comprehend. If digital literacy is, in fact, a lesson plan within an educator’s curriculum, this could be used to help students understand how there are certain keywords or sentiments that should alert them to dig deeper into a headline and ask questions about the reliability of its sources.
Even outside of education, this could be helpful for everyone to analyze their social media feeds and see just how truthful the content really is.
Machine Learning in education is truly an exciting opportunity to explore. Of course, there are always concerns for privacy and efficacy of the results it may produce. These concerns are valid, but there is no doubt that the machines are about to take an even bigger role (and give educators and parents some much needed help)! Like any new technology, there will be a lot of trial and error, but that is exactly why edtech innovators love what they do.
Where do you see Machine Learning in edtech? We’d love to hear your ideas and help you with your edtech needs. Message us or give us a shout on Twitter @_ProjectEd!