A recent study has found that the mindsets and self-regulation of students impact their ability to learn.
Researchers at The University of Texas at Arlington are studying the ideal physical and mental states to help children and adults pay attention and practice self-control by combining computer-game testing with a simultaneous ongoing analysis of heart-rate and skin activity.
"We know attention and self-regulation are critical for things like academic success, financial success, and general health and well-being," said Catherine Spann.
"We think that if we understand the different physical and emotional states related to attention and self-regulation, we could develop targeted interventions for children and adults to achieve greater well-being," she added.
Participants complete a questionnaire about general levels of attention and self-regulation in everyday life, report how they are feeling, and then complete an attention and self-regulation task on an iPad. They wear a wristband to track their heart rate and skin activity, which indicate how calm and engaged they are.
"The wearable technology that we are using gives us information about their specific state and could tell us that they might not be ready to sit still and listen to a lecture or engage in certain learning activities," Spann said.
Scores on the task are based on a combination of accuracy and reaction time. Spann is also examining how certain aspects of individuals such as gender, age and general self-regulation in daily life, impact how the body responds during a specific task requiring attention and self-regulation, especially when it comes to learning.
George Siemens underlined the importance of this research in the context of ongoing changes in education models.
"In order to make wise investments in our school systems, we need to better understand the core of learning," Siemens said.
"We need to understand the conditions under which people optimally learn and the ways that educators can best support students."
The study has been presented at 2016 aWEAR Conference meeting. (ANI)