Conference Session

Student Division Technical Session 4: Project-based Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

James Chengda Lu, BASIS Shavano; Vincent Liu, Brandeis High School; Justin Jin; Parker Olkowski; Yu-Fang Jin, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

framework's impact relied on servicehours, outreach scales, and feedback collected during the summer camps.The analysis confirmed the framework's effectiveness in enhancing students'technical and soft skills, sustaining their interest in STEM, improving teamperformances, and fostering an inclusive community for collaboration. The LPSframework offers students flexibility in developing their skill sets and has beenproven to be sustainable, transformable, and scalable for integration into K-12thengineering curriculum and extracurricular programs.IntroductionRobotics has been identified as an interdisciplinary field encompassing electrical components,computer vision, mechanics, cognitive science, and artificial intelligence [1-5]. Innovation inrobotics

Conference Session

Student Division Technical Session 2: Career Development and Employability

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jun Zhu; SUN TIEMIN, Beijing Foreign Studies University; jiayao sun; Fangyuan Chai

Tagged Divisions

Student Division (STDT)

ensures that students not only acquire the necessarytechnical skills but also develop the soft skills, adaptability, and resilience required forsuccess in today's rapidly changing job market. By integrating these elements intocompetency-based education, we can effectively enhance both the employment abilityand the quality of employment opportunities for engineering graduates. This holisticapproach ensures that students are well-prepared, adaptable, and equipped with thenecessary skills and qualities to excel in their chosen careers, contributing significantlyto the growth and prosperity of the engineering sector and the broader economy.6. References Abu Khousa, E., & Atif, Y. (2014). A learning analytics approach to career