papers that describe the evolution of computational science, its growth and thefuture needs and emerging topics/areas.Career Exploration and NetworkingFor this module, we present what career exploration entails and why graduate students shouldstart this from day one in their program. The idea is to educate themselves on the various careerpaths they can choose from, understand what each path expects in terms of academicbackground, experiences, skills and expertise. Lectures include, “Career Exploration–What is itand why now?, Curriculum Vita and Resumes, Strategies and Techniques for Networking at Jobfairs and Conferences, and Developing social media presence (LinkedIn, Research Gate andGitHub) to establish visibility and enable networking.We
, University at Buffalo, The State University of New York Jutshi Agarwal is a Postdoctoral Associate with the Department of Engineering Education at the University at Buffalo. She was the first doctoral student to get a Ph.D. in Engineering Education from the University of Cincinnati. She also has a Master’s degree in Aerospace Engineering from the University of Cincinnati and a Bachelor’s degree in Aerospace Engineering from SRM University, India. Her research areas of interest are graduate student professional development for a career in academia, preparing future faculty, and using AI tools to solve non-traditional problems in engineering education. She is currently also furthering work on the agency of engineering
computer science. The comprehensive goal of this NSF project is to explore when and to whichdegrees these imbalances are greatest and how the imbalances may influence students’opportunities to enter and paths throughout CS undergraduate programs. This poster/paper willpresent a portion of our findings obtained during a pilot qualitative study related to strategiesand support for overcoming obstacles through a variety of actions (policies, programs, pedagogy,culture) toward student success. This paper/poster will focus on the following research question:What are the strategies, structures, and scholarly attributes that support student experiences asper student’s lived experience?We designed the pilot study to validate our study instrument, namely
describes an NSF (National Science Foundation) S-STEM-funded scholarshipprogram, representing a collaborative five-year grant project among three prominent universitiesin the Southeast region of the United States. Its primary objective is to support dedicated scholarsin graduating and finding a professional pathway. Each institution recruited a cohort of 15-20scholars annually for three years. The project offers scholarships and provides curricular and co-curricular support to academically talented but financially challenged students in the computingdisciplines, including Computer Science, Computer Engineering, Cybersecurity, and InformationTechnology majors, starting from their junior years. The program aims to impact 150 scholars,most of whom are
need for longitudinal studies and for exploring the transition to college. Other recommendations include collaborating and communicating between researchers, clinicians, and educators and developing/testing interventions such as ADHD coaching and psychosocial support strategies.Study 3Study 3 involves in-depth interviews with STEM college students with ADHD to gain a more in-depth understanding of our results and better understand the role classroom teaching practicesplay in the academic success of engineering students with ADHD. It aims to answer thefollowing questions: (1) How do engineering college students who have ADHD perceive howtraditional lecture-based courses influence their collegiate experiences (academic adjustment,classroom
DiegoMinju Kim, University of California, San DiegoZongnan Wang, University of California, San DiegoDr. Nathan Delson, eGrove Education ©American Society for Engineering Education, 2024 Implementing Oral Exams in Engineering Classes to Positively Impact Students’ Learning 1. IntroductionAssessment is key to students’ learning and effective educational improvement [1]. This isparticularly critical in engineering, as a key objective of engineering education is teachingstudents how to apply scientific principles, how to reason about problems and how to thinkcritically. Unfortunately, prior research has shown that many students often resort to memorizingprocedures or processes, i.e., “plug and
in addition to the financial assistance totruly support students during their transitions. The high-impact practices designed forEMPOWER to influence each of Schlossberg’s transition factors include: ● A month-long summer preparatory program to prepare students in both technical and professional skills for internship applications. EMPOWER Scholars at the two community college partners are encouraged to enroll. The summer program implemented was highlighted by Truong et al. in [20]. ● A multi-year research and mentoring program that introduces students to research experience with faculty in Engineering departments at UCSD. The students are encouraged to explore graduate studies in the BS/MS, MS, or PhD program
.” Review of Educational Research, 76, 413-448.[49] Zimmerman, W., Kang, H. B., Kim. K., Gao, M., Johnson, G., Clariana, R. B., & Zhang, F. (2017). “Computer-automated approach for scoring short essays in an introductory statistics course.” Journal of Statistics Education, 25, 40-47.[50] Tawfik, A. A., Law, V., Ge, X., Xing, W., & Kim, K. (2018). “The effect of sustained vs. faded scaffolding on students’ argumentation in ill-structured problem solving.” Computers in Human Behavior, 87, 436-449.[51] Kim, K., & Tawfik, A. A. (2021). “Different approaches to collaborative problem solving between successful versus less successful problem solvers: Tracking changes of knowledge structure.” Journal of
and qualitative methods were utilized in this study. Factor Analysis (FA) was used to assess the validity of using CT scales in an HBCU environment, and to help investigate the impact of immersive technology on participants CT skill levels. The results of the FA aligned with previous research findings and provided the research team with a more refined set of CT scales for use in an HBCU environment. Semi-structured student interviews were used to gain insight into students’ perceptions and attitudes toward the incorporation of VR into an engineering curriculum, and to further explore the relationship between VR fidelity and scalability of a
, and ethnic diversity. Among its 3100 undergraduate students,around 39% are recipients of Pell grants, and 29% are pursuing majors in STEM fields. Thecampus faces challenges as a significant number of students come from K-12 systems thathaven't adequately prepared them for college-level math and science. Additionally, manystudents work over 20 hours per week, often off-campus, and spend an average of 2 hours dailycommuting on public transportation.These circumstances contribute to lower retention and graduation rates, particularly affectingstudents from racial and ethnic minorities who are already underrepresented in the STEMworkforce. Notably, recent data shows that only about 45% of all majors manage to graduatewith a bachelor's degree
) [33], and ATLAS.tiAI Coding [34].In our overall project, we aim to answer the following research questions: 1. What ideas do students use to explain their reasoning when writing short answer responses to conceptually challenging questions? 2. How well do transformer-based machine learning models replicate the human-coded data? 3. For two isomorphic question pairs, how similar is the human coding of one question relative to the other? How well do the machine learning models trained on the first question’s explanations perform on the second question?Our end goal is to create a generative Artificial Intelligence (AI) tool that can supplement theCW and give instructors and researchers a way to understand