Conference Session

Instrumentation Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Xavier Shastri Domnique Henry, University of Maryland, Eastern Shore; Lei Zhang, University of Maryland, Eastern Shore; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore; Madhumi Mitra Ph.D., University of Maryland, Eastern Shore; Christopher E Hartman, University of Maryland, Eastern Shore; Christopher Alan Toney II, University of Maryland Eastern Shore ; Ayokunle Adeyemi Akangbe, University of Maryland Eastern Shore

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

]. Page 26.720.4 Figure 2. Kolb’s cycle of experiential learning[16].According to the Kolb’s cycle, the four experiential learning stages are Concrete experience,Reflective observation, Abstract conceptualization and Active experimentation. In this project, theKolb’s Experiential Learning Theory is applied during the EMDLS design and implementation toimprove student learning and professional development.2. Project OutlineThis project focuses on the design and deployment of a microprocessor based EMDLS to collectenvironmental data from the 3,000 L raceway tank which forms the basis of the microalgae andshrimp aquaculture system. The data provided by the system will be used in the daily managementof the operation as well as

Conference Session

Instrumentation Division Technical Session 4

Collection

2015 ASEE Annual Conference & Exposition

Authors

Aidan F. Browne, University of North Carolina, Charlotte; David George Vutetakis Jr, University of North Carolina, Charlotte

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

trainersthemselves are often different . In such a case, students are learning to do different tasks withdifferent equipment. However, by combining the trainers and controllers to perform the sametasks, this puts emphasis on the differences between technologies by solving the same problemson different equipment. This also adds familiarity to equipment that can translate into real worldpractical uses.ConclusionsThe cost of training systems often carries a high price tag when purchased as an off-the-shelfproduct. This cost is reflected not necessarily by the raw value of the parts, but by the integrationof the plant and the controllers along with any necessary specialized software. This effect iscompounded when multiple training setups are needed for