Comparison of simulation-based and hands-on teaching methodologies on students’ learning in an engineering technology program

2015 ◽  
Vol 2015 (4) ◽  
pp. 58 ◽  
Author(s):  
Mohammed Taher ◽  
Ahmed Khan
2021 ◽  
pp. 23-28
Author(s):  
Sergey Dubikovsky ◽  
Peng Hao Wang ◽  
Katherine Minarik

Aeronautical Engineering Technology (AET) of Purdue University’s School of Aviation and Transportation Technology offers its students a comprehensive and holistic approach to engineering in an applied fashion. Students’ learning outcome includes an application of technical knowledge and hands-on skills in areas of aerospace design, operations, and manufacturing. The curriculum of the program includes a course in which students must learn advanced maintenance concepts and practices including the overhaul of reciprocating engines. This study examined the relationship between engine operational vs. non-operational statuses, time spent to finish a task, and student perceived workloads regarding the maintenance procedures. The tests followed the Federal Aviation Administration (FAA) requirements for the practical test questions from the Airframe and Powerplant Certificate (A&P) Exam. Students were also required to fill out a task perceived load index developed and used by NASA.


Author(s):  
Mark A. Cote´

Industry-centered education has been an integral part of the educational program at Maine Maritime Academy (MMA) since the founding of the college in 1941. This has included extensive use of laboratories and cooperative education as part of all MMA academic programs. Employers, graduates, and potential students describe MMA’s “hands-on” focus, reflected in the laboratory and cooperative education experiences, to be one of the main advantages of an MMA education, including the Power Engineering Technology (PET) program. In 1993, the MMA Engineering Department decided to build on this strength for the PET program by adding a personal computer-based, power plant control room simulator laboratory. The simulators were integrated into the PET Capstone experience, a two-course, nine credit hour sequence, that included both individual and team projects. The simulators were used to provide additional realistic, “hands–on” training as the students completed their degree. Over the course of the past fifteen years, while the simulators have continued to be a valued tool for the PET Program, the simulators were reaching the end point of their viable use due to hardware obsolescence. Since the simulator software was hardware specific, it had become impossible to procure replacement hardware for the simulators. In 2008, it was decided to replace the simulators and new simulator hardware and software have been procured and will be integrated into the PET Program beginning in the fall 2010 semester. This paper will describe the process used to determine the scope of the replacement process, the parameters for the new simulation systems, the procedure for determining the systems selected, and the process of integrating these new resources, including the assessment methods using the simulators, into the PET Program.


2012 ◽  
Vol 56 ◽  
pp. 448-453 ◽  
Author(s):  
M.S Yahaya ◽  
A. Noordin ◽  
S. Ahmad ◽  
M. R. Mohamad Sapiee

Author(s):  
Aniruddha Mitra ◽  
Sahana Sen

An existing senior level elective course on vibration in Mechanical Engineering Technology program at Georgia Southern University has been modified significantly. Two major components have been added to this course. Those are theoretical topics on preventive maintenance and laboratory experiments. As a part of laboratory experiments, Fast Fourier Transform (FFT) was introduced as a possible tool for vibration analysis for the purposes of machine diagnosis. Utilizing the current laboratory set up for the data acquisition systems, LabView software has been used for FFT analysis of signals from various sources. Four different modules were developed and implemented. The modules are as follows: random variation in acceleration of a toy cart due to roughness of the track and pulley, regular uniform wave signal which is generated by the lateral vibration of a cantilever beam at its natural frequency, signal generated by the imported raw data from other sources (e.g. MATLAB) and vibration signal of a shaft mounted on ball bearings in order to detect the defects in the bearing. Each of these modules is illustrated in this paper with suitable examples and suggested student activities and involvements. The results from FFT analysis have been cross checked using other methods and observations. As a follow up, students have been taken to a local industry where significant amount of emphasis is given to preventive maintenance of machineries by vibration data analysis using FFT. Future possible projects include the analysis of vibration data gathered from actual machine shop. This project opens the scope for greater collaborative effort between local industries and classroom activities.


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