I’ve been keeping a list of local schools that are using apps, and I’ve carved out some time this summer to do some personal development on creating apps. Conduit’s App Maker wouldn’t even require much time.
Have you created an app for your school or taken an online course to learn how? I’d like to know what you used, or if you took a class would your recommend it?
Tough Questions on Texting in the Classroom
image via flickr:CC | Stitch
- Does it make sense to ban texting if students ignore the ban and teachers back away from enforcing it? Can a ban be enforced? How about in a large course, can it be enforced then? Should it be enforced? What are the costs of enforcing a “no texting” policy? Public altercations with students that erode the climate for learning in the classroom? But texting itself erodes the learning atmosphere of classroom, doesn’t it?
- What about taking the “if-you-can’t-beat-them-join-them” approach?
- Does texting show a lack of respect? Perhaps, but are students doing it because they want to disrespect the teacher?
Behind the Webcam’s Watchful Eye, Online Proctoring Takes Hold
Hailey Schnorr has spent years peering into the bedrooms, kitchens, and dorm rooms of students via Webcam. In her job proctoring online tests for universities, she has learned to focus mainly on students’ eyes.
“What we look for is eye movement,” says Ms. Schnorr. “When the eyes start veering off to the side, that’s clearly a red flag.”
The result is a monitoring regime that can seem a bit Orwellian. Rather than one proctor sitting at the head of a physical classroom and roaming the aisles every once in a while, remote proctors peer into a student’s home, seize control of her computer, and stare at her face for the duration of a test, reading her body language for signs of impropriety.
Even slight oddities of behavior often lead to “incident reports,” which the companies supply to colleges along with recordings of the suspicious behavior.
image via flickr:CC | joeythibault
How much proctoring is enough?
THE problem with human-resource managers is that they are human. They have biases; they make mistakes. But with better tools, they can make better hiring decisions, say advocates of “big data”. Software that crunches piles of information can spot things that may not be apparent to the naked eye. In the case of hiring American workers who toil by the hour, number-crunching has uncovered some surprising correlations.
For instance, people who fill out online job applications using browsers that did not come with the computer (such as Microsoft’s Internet Explorer on a Windows PC) but had to be deliberately installed (like Firefox or Google’s Chrome) perform better and change jobs less often.
It could just be coincidence, but some analysts think that people who bother to install a new browser may be the sort who take the time to reach informed decisions. Such people should be better employees. Evolv, a company that monitors recruitment and workplace data, pored over nearly 3m data points from more than 30,000 employees to find this nugget.
How long before highered admissions start using similar methods?
photo via flickr:CC | IntelFreePress