Paper ID #45931Improving Engineering Education Through Characterization and Evaluationof Educational TechnologiesDaniel Hernandez, The University of MemphisAriadna Mendoza, The University of MemphisXiaofeng Tan, The University of MemphisKathryn Bridson, The University of MemphisDr. Pegah Farshadmanesh, The University of Memphis ©American Society for Engineering Education, 2025 Improving Engineering Education Through Characterization and Evaluation of Educational Technologies1. Introduction and research motivationEngineering skills and knowledge are essential for driving innovation, advancing technology,and
Theory(SEVT) by [18], one of the subjective task values that students use, along with their expectancyof success, to make achievement-related choices/tasks is utility value. Utility value means howone perceives the importance of the choices/tasks toward future goals [18]. However, such futuregoals may not have direct relevance to the future goals, such as taking a math course to preparefor being an engineer. Abundant research has argued that interventions on students’ perceivedutility value of their choices/tasks can improve their subsequent motivations [19]. Althoughmuch of this research is on how useful the content is to the individual student achievement-related choices/tasks, we argue that exposing students to the instructors’ intention and
-year liberal arts institution with fivecampuses north of Atlanta, Georgia. Located in the fastest-growing region of the state, UNG isone of the largest institutions in the University System of Georgia. Despite this, the universitydoes not have an accredited engineering program offering a bachelor’s degree. Instead UNGoffers 3 pre-engineering programs, which are the Regents’ Engineering Transfer Program, DualDegree Program, and associates in engineering, in partnership with accredited Georgiaengineering universities. Through this partnership, pre-engineering students take their core andintroductory engineering classes at UNG, and then apply to transfer to accredited engineeringinstitutions such as Kennesaw State University, University of
ofdesign processes, but often require additional program resources.1. IntroductionIn the 21st century, product lifecycle management (PLM) initiatives swept the engineering industry,with more companies transitioning to digital collaborative design methods over existingengineering design strategies, where a company would keep an on-site design file storage systemthat includes hand drawings and requirement documents. With enterprises realizing the advantagesof PLM systems and how they impact their organizational structure and capabilities, engineeringdesign processes have changed dramatically, from a traditionally closed environment toincorporating multiple departments into a collaborative design space. The shift in mindset towardsa collaborative
,introducing them to foundational topics in calculus, physics, and programming. Within thephysics portion of the program, students explored quantum mechanics and worked specifically onunderstanding the BB84 quantum key distribution (QKD) protocol. This manuscript focuses onour experience teaching the BB84 QKD protocol, describing what worked well, the challenges wefaced, and the lessons we learned. We share successes, obstacles, and strategies for futureiterations to improve educational outcomes related to this critical aspect of quantumscience.IntroductionThe demand for scientists and engineers equipped with quantum knowledge is rising as QISEbecomes increasingly critical to advancing technology and securing information systems [1].Experts, including