Effects of Interdisciplinary Education on Technology-Driven Application Design

This paper describes the structure and the underlying rationale of a new course dedicated to capability maturity model integration (CMMI)-directed design of wireless sensor networks (WSNs)-based biomedical applications that stresses: 1) engineering-, medico-engineering-, and informatics-related issues; 2) design for general- and special-purpose systems; and 3) the creation of synergistic effects that enable formation of entrepreneurial multidisciplinary teams able to organize and implement the development of these health-related pervasive computing applications. Formal education so far still focuses on treating only strictly separated and specialized topic areas. However, as the need for cooperation and mutual learning between students oriented toward different fields grows, the need for a multidisciplinary educational approach becomes more and more important. For a technical education to be complete, it is no longer enough to train scientists and engineers solely in technical areas. In development and implementation of technology-driven applications, multidisciplinary issues should be properly addressed in the academic sense. The interdisciplinary understanding and synergy achieved are tested through examinations and workshops. The transdisciplinary knowledge improvement is also statistically evaluated, using a system of metrics developed experimentally.

[1]  Maura Borrego,et al.  Characteristics of Successful Cross‐disciplinary Engineering Education Collaborations , 2008 .

[2]  R.R. DeLyser,et al.  A novel multidisciplinary course: measurement and automated data acquisition , 1999, FIE'99 Frontiers in Education. 29th Annual Frontiers in Education Conference. Designing the Future of Science and Engineering Education. Conference Proceedings (IEEE Cat. No.99CH37011.

[3]  Žilbert Tafa Mobile Health Applications and New Home Care Telecare Systems: Critical Engineering Issues , 2010 .

[4]  A. Ahrens,et al.  E-Collaboration Technologies in Teaching/Learning Activity. , 2009 .

[5]  Alev Elçi,et al.  A Multidisciplinary Education Framework That Exploits IT Undergraduates to Eliminating Lack of IT Skills in Non-IT Graduate Disciplines. , 2005 .

[6]  Steven D. Eppinger,et al.  Interdisciplinary product development education at MIT and RISD , 2010 .

[7]  Lisa D. McNair,et al.  Using Concept Maps to Assess Interdisciplinary Integration of Green Engineering Knowledge. , 2009 .

[8]  Nitaigour P. Mahalik,et al.  Sensor Networks and Configuration: Fundamentals, Standards, Platforms, and Applications , 2006 .

[9]  David W. Galenson Understanding Creativity , 2010 .

[10]  Joseph R. Herkert A Multidisciplinary Course On Technological Catastrophes , 1997 .

[11]  Veljko Milutinovic,et al.  Methodology for Written and Oral Presentation of Research Results , 2010 .

[12]  Marek Penhaker,et al.  Multidisciplinary Education of Biomedical Engineers , 2009 .

[13]  Mohd Fadlee A. Rasid,et al.  Bluetooth telemedicine Processor for multichannel biomedical signal transmission via mobile cellular networks , 2005, IEEE Transactions on Information Technology in Biomedicine.

[14]  Ignacio Bravo Muñoz,et al.  Practical laboratory project in telemedicine: Supervision of electrocardiograms by mobile telephony , 2005, IEEE Transactions on Education.

[15]  Carolyn Haynes,et al.  Targeted Assessment Rubric: An Empirically Grounded Rubric for Interdisciplinary Writing , 2009 .

[16]  Raghbir Singh Khandpur Biomedical Instrumentation: Technology and Applications , 2003 .

[17]  Marco Gero Fernández,et al.  Implications of a multi-disciplinary educational and research environment: Perspectives of future business, law, science, and engineering professionals in the technological innovation: Generating economic results (TI:GER®) program , 2006, Technol. Anal. Strateg. Manag..

[18]  Marie C. Paretti,et al.  Identifying barriers to and outcomes of interdisciplinarity in the engineering classroom , 2009 .

[19]  Targeted Assessment of Students' Interdisciplinary Work: An Empirically Grounded Framework Proposed , 2007 .

[20]  James E. Bartlett,et al.  Organizational research: Determining appropriate sample size in survey research , 2001 .

[21]  Johan Malmqvist,et al.  The Context of Engineering Education , 2008 .