Design Thinking is a framework for students to navigate the "unknown" of innovation, to challenge them to think at a deeper level, and to push them to be their most creative. @Jill_Snell81#designthinking
A5: cont...A downside to using algorithms would be to predict success. There are too many variables involved with people. Determination, creativity, & motivation are difficult to capture in an algorithm but can make a difference in student success. #slowfry#ET690#LoyolaET
A5: Algorithms can compute huge amounts of data and can spot trends in student scores. This can help when identifying intervention programs and specific course recommendations. It would rely on data, not necessarily the bias of teachers... #slowfry#ET690#LoyolaET
@amylmcginn A4: 2 of 2: People don't know how to read maps or have a sense of direction any more because they don't have to. GPS has taken that over. I've seen even struggles with simpler things such as counting money or reading an analog clock. #slowfry#ET690#LoyolaET
@amylmcginn A4: 1 of 2: Any time that tech is able to automate a task that was once done "by hand" so to speak, you will see a deterioration of those skills in humans. Driving is a great example...(cont)... #slowfry#ET690#LoyolaET
@amylmcginn A3: 2. However, I also think that the individual benefits from giving their data, particularly with a genetic analysis that may help them to identify the likelihood of contracting diseases in the future.
@amylmcginn A3: 1. I agree with what others already wrote that both pharmaceutical and insurance companies would benefit. I also think that you can make the case that governments and law enforcement could benefit from that data when it comes to profiling citizens....
A2: I think I would sacrifice my privacy for the benefit of everyone. It would help with curing diseases but also with things like genetic studies or even help the CDC track the spread of disease and being able to allot resources. #slowfry#ET690#LoyolaET
@amylmcginn @LoyolaET A1: Part 2: What that means is that someone could take the drug and more than likely not vomit. Okay, no harm done. The drug company cover themselves legally by listing vomiting as a side effect even though it was a false positive.
@amylmcginn @LoyolaET A1: Part 1: I think you drug companies would be okay with identifying false positives when testing a drug for side effects. Let's say a very sensitive algorithm identifies vomiting as a side effect of a drug even though it is not. Cont....
@amylmcginn An example of a specific algorithm would be when Netflix suggests movies and shows based on what you've searched or watched in the past as opposed to a sensitive algorithm that would just identify any movie. #slowfry#loyolaet#ET690
An older article from @EdSurge , but surprisingly very aligned with this week's readings. Good practice is just good practice. #ET662 https://t.co/l9GbNTP9Br