rateamong engineering graduates in western countries is almost 13% [4], and a staggering62.3% and 42.8% among Fine art and Design graduates respectively [5]. These numbersdo not just disincentivise students from pursuing their desired majors and their passionsbut also suggest a need for an immediate change to improve disciplinary education, ifnot completely returning to an integrative multidisciplinary approach.The vitality of multidisciplinary education is therefore evident. However, the approachtowards this collaborative education is just as important. The way a topic is introducedto a student and the way that topic is applied varies highly with respect to the type ofeducational model being followed. Project based learning, for example gives
innovation laboratories,industry-university research centers, and joint R&D centers. This research tries to provide adetailed analysis of their organizational structures, the nature of their outreach activities,operational strategies, and the driving motivational factors behind their engagement.Literature ReviewUniversity Industrial Outreach can be considered an important form or specific practice ofUniversity-Industry Collaboration or Cooperation (UIC henceforth) (Hellström et al., 2013).This section first examines the relevant literature on UIC and explores its potentialtransformation under the new paradigm of Open Innovation. This study aims to identify thecharacteristics of University Industrial Outreach within the context of new
prevalence and importance of collaboration in engineering research and development cannotbe overstated. Real-world problems are complex and multi-dimensional, thus requiring expertisefrom across multiple domains to problem-solve effectively, calling for training in multi-disciplinary skills as essential for engineering graduates [5]. Outcome-based curriculumdevelopment followed by most universities is aimed at developing engineers better prepared forthe workplace. Several engineering educators [6] - [8] have also strongly advocated for teachingstudents more real-world engineering team operations. However, many students entering theworkforce over the last many decades persistently remain underprepared for and unfamiliar withthe opportunities or
has been successful in obtaining funding and publishing for various research projects. She’s also the founder and advisor of the first ASEE student chapter in Puerto Rico at UPRM. Currently, she serves as Academic Senator and Faculty Representative at the Administrative Board at UPRM. Her research interests include investigating students’ understanding of difficult concepts in engineering sciences, especially for underrepresented populations (Hispanic students). She has studied the effectiveness of engineering concept inventories (Statics Concept Inventory - CATS and the Thermal and Transport Concept Inventory - TTCI) for diagnostic assessment and cultural differences among bilingual students. She has also
withstudents) and developing partnerships (Establishing research partnerships with 4-year institutionand NSF while becoming a better educator).Participating educators cited the following among their expectations; note that repeating ones areeliminated. 1. Generating practical ideas and classroom units for the upcoming school year. 2. Conducting research and expanding knowledge in robotics courses. 3. Spending significant time in a lab environment to solve problems and inform curriculum development. 4. Creating engaging content for students. 5. Learning from experts on specific topics and collaboratively creating materials for their classes. 6. To experience 3-D design and delving deeper into the process and implementation. 7
other factors. Workers hired after thenew scheme was implemented were on average 28% more productive than the ones hired in theold regime.Experimentation is an effort that requires collaboration among Science, Product, andEngineering teams which means it is typically multi-disciplinary in nature. Experiments typicallyhave three phases: the pre-experiment planning, the implementation and monitoring, and thepost-experiment analysis. During the pre-experiment planning, Science, Product, andEngineering work together to translate the business problem at hand into testable hypothesis,make ethical and legal considerations and submit the research proposal for review if applicable,define the details of the intervention, design the randomization, define
Table 5: Stakeholder Requirementsstrategies, the MRC lab will cultivate an educational setting that prepares graduates to makemeaningful contributions as soon as they enter the workforce.This approach to the design, of the MRC Lab reflects a multidisciplinary perspective, integrat-ing aspects of mechatronics, robotics, and control to create a dynamic environment for learningand innovation. Here, students, researchers, and practitioners can engage in practical problem-solving, collaborate across disciplines, and develop new technologies and solutions focused onrobotic dexterity and precision.Furthermore, the Measures of Effectiveness (MOEs) for the MRC Lab, as detailed in Table6, are defined and related to the stakeholder requirements. They are
Lawrence National Laboratory focusing on com- putational analysis for nonlinear seismic analysis of Department of Energy nuclear facilities and systems. After joining SFSU in 2016, she established an active research lab at SFSU with a diverse group of under- graduate and Master’s level students. For her engineering education research, she is interested in exploring how to use technology such as virtual reality and 3D printing to enhance student engagement. She is an active member of ASCE, ASEE, and SEAONC.Dr. Zhaoshuo Jiang, San Francisco State University Zhaoshuo Jiang graduated from the University of Connecticut with a Ph.D. degree in Civil Engineer- ing. Before joining San Francisco State University as an assistant