Tatli, Zeynep, and Alipasa Ayas. "Effect Of A Virtual Chemistry Laboratory On Students' Achievement." Journal Of Educational Technology & Society 16.1 (2013): 159-170. Academic Search Premier. Web. 18 Mar. 2014.
Tatli, Zeynep, and Alipasa Ayas. "Effect Of A Virtual Chemistry Laboratory On Students' Achievement." Journal Of Educational Technology & Society 16.1 (2013): 159-170. Academic Search Premier. Web. 18 Mar. 2014.
Tatli, Zeynep, and Alipasa Ayas. "Effect Of A Virtual Chemistry Laboratory On Students' Achievement." Journal Of Educational Technology & Society 16.1 (2013): 159-170. Academic Search Premier. Web. 18 Mar. 2014.
Tatli, Zeynep, and Alipasa Ayas. "Effect Of A Virtual Chemistry Laboratory On Students' Achievement." Journal Of Educational Technology & Society 16.1 (2013): 159-170. Academic Search Premier. Web. 18 Mar. 2014.
"New Findings from L. Delatorre and Co-Authors in the Area of Physics Published." Education Letter 1 June 2011: 137. Global Issues In Context. Web. 18 Mar. 2014.
"New Findings from L. Delatorre and Co-Authors in the Area of Physics Published." Education Letter 1 June 2011: 137. Global Issues In Context. Web. 18 Mar. 2014.
"New Findings from L. Delatorre and Co-Authors in the Area of Physics Published." Education Letter 1 June 2011: 137. Global Issues In Context. Web. 18 Mar. 2014.
people with anxiety or conditions such as Asperger’s,
can predict if a conversation is happy, sad, or neutral based on a person’s speech patterns and vitals
captures high-resolution physiological waveforms to measure features such as movement, heart rate, blood pressure, blood flow, and skin temperature. The system also captured audio data and text transcripts to analyze the speaker’s tone, pitch, energy, and vocabulary.
On average, the model could classify the mood of each five-second interval with an accuracy that was approximately 18 percent above chance, and a full 7.5 percent better than existing approaches.
algorithm is not yet reliable enough to be deployed for social coaching,
potentially using commercial devices such as the Apple Watch
Interesting example on how much wearable tech has advanced over the years - now with the capability of predicting one's mood based off of an individual's speech pattern and vitals. This could be used in education to measure the moods of students, etc.