Contextualized Mobile Support for Learning by Doing in the Real World
This research addresses the use of mobile devices with both embedded and external sensors to provide contextualized help, advice, and remediation to learners engaged in real-world learn-by-doing tasks. This work is situated within the context of learning a complex procedure, in particular emergency responders learning to conduct urban search and rescue operations. Research issues include the design and delivery of contextualized performance support and the inferring of learner actions and intentions from sensor data to ensure that the right support is delivered just in time, as it is relevant to what the learner is doing.
||Learning by Doing, Context Awareness, Ubiquitous Computing, Urban Search and Rescue Training, Mobile Learning
Ubiquitous Learning: An International Journal, Volume 4, Issue 2, pp.17-32.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 928.195KB).
Post-Doctoral Researcher, Carnegie Mellon University, Silicon Valley Campus, Carnegie Mellon University Silicon Valley, Mountain View, CA, USA
Natalie Linnell received her Ph.D. in computer science from the University of Washington in Spring 2011, and began a post-doctoral research position at the Silicon Valley campus of Carnegie Mellon in August 2011. Her research interests focus on building and using educational technology in a variety of contexts, from college classrooms to the developing world, and especially on using mobile technology to support students and teachers and developing effective pedagogies to accompany this technology. Her current work focuses on using mobile phones and sensor-rich environments to support urban search and rescue training. Her PhD work involved using digital signal processing on handheld devices to allow them to communicate with a TV in order to aid agricultural educators in rural India. She also worked on Classroom Presenter, a Tablet PC-based classroom interaction system.
Professor and Director of Educational Programs, Carnegie Mellon University, Silicon Valley Campus, Carnegie Mellon University Silicon Valley, Mountain View, CA, USA
Ray Bareiss is Director of Educational Programs and Professor of the Practice of Software Engineering and Software Management at Carnegie Mellon’s Silicon Valley Campus, where he oversees and teaches in two unique, learning-by-doing, professional master’s programs. He was a co-founder of Cognitive Arts Corporation and served as executive vice president for strategic projects, such as virtual university collaborations and large-scale corporate eLearning initiatives. Prior to joining Cognitive Arts, Dr. Bareiss was Assistant Director of the Institute for the Learning Sciences at Northwestern University, as well as a Research Associate Professor of Computer Science and Education. Dr. Bareiss specializes in computer-based learning environments, organizational memory and computer-based performance support, human-computer interaction, and cased-based reasoning. He is also the author of a number of books and articles. Dr. Bareiss holds a Ph.D. in computer sciences and a B.S. in communication from the University of Texas at Austin.
Professor and Associate Dean, Carnegie Mellon University, Silicon Valley Campus, Carnegie Mellon University Silicon Valley, Mountain View, CA, USA
Dr. Martin L. Griss is the Director of Carnegie Mellon Silicon Valley, and of the Disaster Management Initiative. With 40 years of experience in software development, education, and research, he spent two decades as Principal Laboratory Scientist at Hewlett-Packard and as Director of HP’s Software Technology Laboratory. Martin is a leading authority on software reuse and component-based development and led HP’s corporate reuse program. He leads work on software agents, software tools and process, UML standards, component-based software engineering, context-aware mobile applications and disaster management. Previously an Associate Professor at the U of Utah, Martin taught software engineering and led research in software engineering, software portability, symbolic computation and compiler development. At U.C. Santa Cruz, he led research on context-aware intelligent software agent systems. Martin earned his B.Sc. from the Technion and a Ph.D. in physics from the U of Illinois. He is co-author of a popular book and multiple chapters on Software Reuse and published over 50 papers, 60 technical reports and columns, on software reuse, components, agents and context-aware systems.