Training can now be delivered on a large scale through mobile and web-based platforms in which the learner is often distanced from the instructor and their peers. In order to optimize learner engagement and maximize l...Training can now be delivered on a large scale through mobile and web-based platforms in which the learner is often distanced from the instructor and their peers. In order to optimize learner engagement and maximize learning in these contexts, instructional content and strategies must be engaging. Key to the development and study of such content and strategies, and adaptation of instructional techniques when learners become disengaged, is the ability to objectively assess engagement in real-time. Previous self-reported metrics, or expensive EEG-based engagement measures are not appropriate for large-scale platforms due to their complexity and cost. Here we describe the development and testing of a measurement and classification technique that utilizes non-invasive physiological and behavioral monitoring technology to directly assess engagement in classroom, simulation, and live training environments. An experimental study was conducted with 45 students and first responders in a unmanned aircraft systems (UAS) training program to assess the ability to accurately assess learner engagement and discriminate between levels of learner engagement within classroom, simulation and live environments via physiological and behavioral inputs. A series of engagement classifiers were developed using cardiovascular, respiratory, electrodermal, movement, and eye-tracking features that were able to successfully classify engagement levels at an accuracy level of 85% with eye-tracking features included or 81% without eye-tracking features. This approach is capable of monitoring, assessing, and tracking learner engagement across learning situations and contexts, and providing real-time and after action feedback to support instructors in modulating learner engagement.展开更多
The suprachiasmatic nuclei (SCN), a paired structure in the hypothalamus controls the circadian rhythms of sleep-wake, endocrine, motor activity, and autonomic nervous system in mammals. Major depression, a common moo...The suprachiasmatic nuclei (SCN), a paired structure in the hypothalamus controls the circadian rhythms of sleep-wake, endocrine, motor activity, and autonomic nervous system in mammals. Major depression, a common mood disorder, shows abnormal circadian cycles, however, the chronobiologic mechanisms involved are still unknown. Previous studies in animals show that the right/left SCN controls the ipsilateral sympathetic activity. To have an appreciation of the sympathetic activity in right-handed humans, we measured the electrodermal activity (EDA) in both wrists in five healthy and five major depression subjects. Healthy subjects showed higher right side activity compared to left (R > L). Depressed patients, showed the contrary (R < L). These findings open the question of whether each half of the body’s sympathetic activity depends on the ipsilateral SCN in humans. Also, the question was raised if abnormal asymmetries between right and left SCN could underlie depression’s circadian disorders. This exploratory research allows introducing new approaches to mental and chronobiologic disorder’s study in living humans.展开更多
文摘Training can now be delivered on a large scale through mobile and web-based platforms in which the learner is often distanced from the instructor and their peers. In order to optimize learner engagement and maximize learning in these contexts, instructional content and strategies must be engaging. Key to the development and study of such content and strategies, and adaptation of instructional techniques when learners become disengaged, is the ability to objectively assess engagement in real-time. Previous self-reported metrics, or expensive EEG-based engagement measures are not appropriate for large-scale platforms due to their complexity and cost. Here we describe the development and testing of a measurement and classification technique that utilizes non-invasive physiological and behavioral monitoring technology to directly assess engagement in classroom, simulation, and live training environments. An experimental study was conducted with 45 students and first responders in a unmanned aircraft systems (UAS) training program to assess the ability to accurately assess learner engagement and discriminate between levels of learner engagement within classroom, simulation and live environments via physiological and behavioral inputs. A series of engagement classifiers were developed using cardiovascular, respiratory, electrodermal, movement, and eye-tracking features that were able to successfully classify engagement levels at an accuracy level of 85% with eye-tracking features included or 81% without eye-tracking features. This approach is capable of monitoring, assessing, and tracking learner engagement across learning situations and contexts, and providing real-time and after action feedback to support instructors in modulating learner engagement.
文摘The suprachiasmatic nuclei (SCN), a paired structure in the hypothalamus controls the circadian rhythms of sleep-wake, endocrine, motor activity, and autonomic nervous system in mammals. Major depression, a common mood disorder, shows abnormal circadian cycles, however, the chronobiologic mechanisms involved are still unknown. Previous studies in animals show that the right/left SCN controls the ipsilateral sympathetic activity. To have an appreciation of the sympathetic activity in right-handed humans, we measured the electrodermal activity (EDA) in both wrists in five healthy and five major depression subjects. Healthy subjects showed higher right side activity compared to left (R > L). Depressed patients, showed the contrary (R < L). These findings open the question of whether each half of the body’s sympathetic activity depends on the ipsilateral SCN in humans. Also, the question was raised if abnormal asymmetries between right and left SCN could underlie depression’s circadian disorders. This exploratory research allows introducing new approaches to mental and chronobiologic disorder’s study in living humans.
