Brain Scan Predicts Mistake; Makes Way For Intelligent Educational Technologies
To err is human, to predict one is Mr. Federico Cirett. Pursuing his doctoral degree in  the UA computer science department, Cirett has devised a way to predict when a person is about to make an error on a standardized math exam with a convincing accuracy.
#-Link-Snipped-#
Cirett, who had been working on the Animal Watch tutoring program, noticed that  English language learners faced more difficulty answering problems, which in turn fueled his curiosity to take up this dissertation work. A human body reacts to fatigue or stress by giving us clues. Using electroencephalography, or EEG, technology, such cues can be detected by studying specific brain waves. Cirett used EEG to study the brain activity of students while they were solving the math portion of SAT exam. With the data, Cirett was able to predict with a good 80 percent accuracy when a student would answer a question incorrectly 20 seconds in after they picked the question.
This is primarily done using a headset,  developed by the San Diego-based Advanced Brain Monitoring Technologies, that measures high-stress and fatigue in military personnel. Most of it is pre-programmed. Cirett has made use of this technology to study patterns and classify according to the resultant data. The device, working on nine sensors, records important information, like the level of engagement in a problem and cognitive workload while the students were attempting their maths paper.
Cirett aims to use this technology in tutoring systems paving the way for further development in intelligent educational technologies. Ceritt believes this would allow for a better and flexible learning environment, optimizing learning at the individual level.
Source: #-Link-Snipped-#Â Image Credit: #-Link-Snipped-#
#-Link-Snipped-#
Cirett, who had been working on the Animal Watch tutoring program, noticed that  English language learners faced more difficulty answering problems, which in turn fueled his curiosity to take up this dissertation work. A human body reacts to fatigue or stress by giving us clues. Using electroencephalography, or EEG, technology, such cues can be detected by studying specific brain waves. Cirett used EEG to study the brain activity of students while they were solving the math portion of SAT exam. With the data, Cirett was able to predict with a good 80 percent accuracy when a student would answer a question incorrectly 20 seconds in after they picked the question.
This is primarily done using a headset,  developed by the San Diego-based Advanced Brain Monitoring Technologies, that measures high-stress and fatigue in military personnel. Most of it is pre-programmed. Cirett has made use of this technology to study patterns and classify according to the resultant data. The device, working on nine sensors, records important information, like the level of engagement in a problem and cognitive workload while the students were attempting their maths paper.
Cirett aims to use this technology in tutoring systems paving the way for further development in intelligent educational technologies. Ceritt believes this would allow for a better and flexible learning environment, optimizing learning at the individual level.
Source: #-Link-Snipped-#Â Image Credit: #-Link-Snipped-#
Replies
You are reading an archived discussion.
Related Posts
Sony India has announced the addition of six new cameras to its Cyber-Shot series of compact digital cameras. Four cameras has been introduced in the Super High Zoom Series. The...
The recent FlashBack attack on Mac users worldwide left many Mac users wondering whether they should continue to flaunt the 'malware free' world they were living in until now. The...
The mechanical and chemical engineers at MIT got together to develop a glass that virtually eliminates reflection and makes water droplets bounce right off like tiny rubber balls. The glass...
As of now, the laser colors used in a variety of products like BluRay DVD Players or Digital Displays had to be created from different semiconductor materials. There was nothing...
This Nokia research project that's been running for three years now, deals with using the unused TV spectrum 'white spaces' for indoor positioning. A white space in a TV bandwidth...