Salt Lake City, Utah
June 23, 2018
June 23, 2018
July 27, 2018
Civil Engineering
15
10.18260/1-2--30032
https://peer.asee.org/30032
565
Zhaoshuo Jiang graduated from the University of Connecticut with a Ph.D. degree in Civil Engineering. Before joining San Francisco State University as an assistant professor, he worked as a structural engineering professional at Skidmore, Owings & Merrill (SOM) LLP. As a licensed professional engineer in the states of Connecticut and California, Dr. Jiang has been involved in the design of a variety of low-rise and high-rise projects. His current research interests mainly focus on Smart Structures Technology, Structural Control and Health Monitoring and Innovative Engineering Education.
Alec Maxwell is currently an graduate student in the School of Engineering at San Francisco State University (SFSU). Besides actively conducting research on innovative tools for engineering education in the Intelligent Structural Hazards Mitigation Laboratory at SFSU with Prof. Zhaoshuo Jiang, he also serves the community as the President of the American Society of Civil Engineers for the SFSU chapter.
Scott Harvey is an Assistant Professor in the School of Civil Engineering and Environmental Science at the University of Oklahoma (OU) and is a registered P.E. in Oklahoma. Since joining OU in 2014, he has taught undergraduate courses in statics, mechanics of materials, and dynamics and graduate courses in structural analysis and structural dynamics. Prof. Harvey has a particular interest in hands-on educational demonstrations to help students connect theory from class to practical applications.
Dr. Nolan Tsuchiya is an Assistant Professor of Mechanical Engineering at California State Polytechnic University, Pomona. Dr. Tsuchiya obtained his Ph.D. from University of California Los Angeles (UCLA in the area of Dynamic Systems and Control). Dr. Tsuchiya teaches Controls Engineering, System Dynamics, and Computer Programming courses using MATLAB/SIMULINK at California State Polytechnic University, Pomona. He is currently the advisor for the CPP Hyperloop team, Baja SAE racing team, and a co-advisor for the CPP ASHRAE club. He holds an active California PE license.
Dr. Cheng Chen is currently an associate professor in the school of engineering at San Francisco State University. His research interests include earthquake engineering, structural reliability and fire structural engineering.
Learning style changes from generation to generation. With the advancement of technologies, the current and incoming tech-savvy learners grow up with the digital world. Such technology advancement makes learning more accessible. As one of the examples, mobile learning has become a commonly accepted and embraced concept among the younger generations.
Effective learning occurs when the teaching styles align well with the learning styles. To better serve the need of the next-generation learners in a more accessible way, a standalone mobile learning module was recently developed for dynamics and vibration courses at San Francisco State University (SFSU). The developed mobile learning module consisted of three interconnected components, namely Analysis, Simulation and Experiment, representing the three important elements in a good engineering learning environment - theory, practical example and physical experimentation. In addition to deliver the theoretical knowledge and animated simulations in the interactive Apps, the module features a mobile remote shake table laboratory which provides students the opportunity to remotely participate and conduct physical shake table experiments in real-time through smart mobile devices (e.g. smartphones and tablets).
The results from a pilot implementation at SFSU were very encouraging. To further evaluate its effectiveness in a larger scale, the mobile learning module is implemented in three dynamics and vibration classes in three different universities. The classes are carefully selected to evaluate the adaptability and expandability of the module and its effectiveness in advancing the learning of students from various backgrounds and knowledge levels (junior, senior, undergraduate, small size, and large size class). Three measures namely Smart Tablet Readiness Measure, Engineering Concepts Achievement Test, and Engineering Concepts Self-Efficacy Test, are developed to perform the evaluation. Results clearly demonstrated the student readiness of using mobile device as a tool for learning activities, and that the mobile learning module can improve students’ knowledge competence and has great potential in increase students’ self-efficacy.
Jiang, Z., & Maxwell, A. W., & Merchant, Z. H., & Harvey, P. S., & Tsuchiya, N., & Chen, C. (2018, June), Board 43: Evaluation of the Effectiveness of Using Mobile Learning in Engineering Dynamics and Vibrations Courses Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30032
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