Work place: University of Minnesota Duluth/Department of Computer Science, Duluth, 55804, USA
E-mail: akhan@d.umn.edu
Website:
Research Interests: Medicine & Healthcare
Biography
Arshia A. Khan is an Associate Professor of Computer Science. She earned a Bachelor of Engineering in Computer-Engineering, M.S. in Computer Science and Ph.D in Information Technology. Her research focus is mostly in biomedical engineering, medical informatics (public personal, and consumer). Over the past years her research has evolved into personalized medicine, using wearable sensors, and assistive robotics in tracking monitoring of various physiological parameters in predicting chronic ailments. Her main research area involves using assistive robots and wearable sensors in maintaining the quality of life of individuals affected with Alzheimer’s and other related dementia such as vascular dementia. Currently, she is working on several projects employing mobile wearable sensors such as EMF sensors, heart rate, blood pressure, body surface temperature, oxygen saturation, accelerometer, and pressure sensors to monitor and track various physiological conditions that play a role in prevention of pressure ulcers, recovery after open heart surgery and help maintain quality of life in individuals affected with Alzheimer’s disease.
DOI: https://doi.org/10.5815/ijmecs.2018.12.01, Pub. Date: 8 Dec. 2018
Tests are a source of anxiety and have proved to impact the grades among students. In addition, students do not have the time to prepare for their exams. The ultimate goal of the instructor is to create and offer an environment that reduces the examination stress while maximizes learning in the little time available to the students. The demand on students’ available time is a major challenge. Although active learning has been utilized to increase student engagement and ultimately increase learning, it has never been used to reduce the test anxiety, increase learning in relation to available-student-time or attempt to increase learning with respect to available student time. Student time has been recognized as the most precious resource in learning. This paper proposes a mechanism of active learning, when employed can create an environment for less stressful exam taking while boosting and amplifying learning in a limited amount of time. Various pedagogical and psychological theories have been explored to develop this methodology that has been employed in three different semesters. The results have shown that students prefer this less stressful mechanism of testing and improved learning and students have commented that they felt they were on top of the materials being covered in class throughout the year and felt prepared for the final with little or no preparation for the final exam. In addition, students felt reduced stress during the test taking.
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