Arshia A. Khan

Work place: University of Minnesota Duluth/Computer Science Department, Duluth, 55804, USA

E-mail: akhan@d.umn.edu

Website:

Research Interests: Bioinformatics, Medical Informatics

Biography

Arshia A. Khan is an Associate Professor at the University of Minnesota Duluth. She earned a Bachelor of Engineering in Computer-Engineering, M.S. in Computer Science and Ph.D in Information Technology. Dr. Khan is extremely passionate about improving the quality of health care by using new and innovative technology.
Her research research interests are interdisciplinary and span the bioinformatics, biomedical informatics, clinical/health informatics, and consumer health informatics. Her focus is mostly on biomedical health informatics (public, personal, and consumer). It is her desire to create innovative solutions to enhance the quality of care by augmenting the health of the populace and individuals. Over the past years her research has evolved into sensor based personalized medicine, wireless mobile population health management, mobile clinical decision support, and mobile data analytic support and analysis. Currently she is working on several projects that involve wireless solutions utilizing sensors for heart rate, blood pressure, body surface temperature, oxygen saturation, accelerometer, and pressure sensors to monitor and track various conditions such as syncope, prevention of pressure ulcers, engage autistic children, and early detection of suicide disposition.
Her research interests also include quality of care in rural hospitals, healthcare mobile app-development, innovative healthcare technology development to improve the quality of care, and wireless non intrusive device design and development for monitoring physiological sensors. She loves to teach, research and inculcate research interest among undergraduate students, encouraging and fostering a desire to pursue graduate school. Dr. Khan has authored a book “Objective-C and iOS Programming: A simplistic Approach”. This is a book on iOS programming for the Apple mobile devices such as the iPhone and the iPad.

Author Articles
Speed Learning: Maximizing Student Learning and Engagement in a Limited Amount of Time

By Arshia A. Khan Janna Madden

DOI: https://doi.org/10.5815/ijmecs.2016.07.03, Pub. Date: 8 Jul. 2016

Active learning has warranted great promise in improving student engagement and learning. It is not a new thought and has been promoted and encouraged as early as the 1980s. Due to the many benefits of active learning it is being practiced by many faculty in their classrooms. Faculty are urged to self-reflect on their teaching styles and work on improving the pedagogies to capture and maintain student interest by increasing student engagement. Although active learning has been used as an instrument to engage students and ultimately increase learning, it has seldom been implemented to directly impact learning relative to time. This paper explores the application of active learning pedagogy to help achieve maximum learning in a limited period of time. The active learning method employed in this study is grounded in classic pedagogies that have been developed based on various psychological theories of learning, motivation and engagement. After the employment of a series of this active learning technique a survey of the students revealed an increase in student learning.

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