Paper ID #36317Developing the next generation expert: What we learned fromunder-academically prepared students about academic self-efficacy inengineering and computingDr. Jennifer I Clark, Montana State University - Bozeman Jennifer Clark serves as the Student Success Coordinator for the Norm Asbjornson College of Engi- neering at Montana State University in Bozeman, Montana. Her research focuses on the retention of Freshman and Sophomore students in engineering and computing disciplines. As a scholarly practitioner, Jennifer considers factors involved in student persistence, building academic self-efficacy, re-defining
University (WVU) is a cohort-based integrated Engineering Bridge Program designed for non-calculus ready first-yearengineering students. During COVID times, AcES encountered challenges in recruitingunderrepresented students. We realized that the recruitment method needed to be modified toattract them. After applying new recruitment methods for 3 weeks, AcES participants werediversified, resulting in 30% female, 20% underrepresented minorities, 30% low-income, and20% first-generation in the cohort. Our research aims to (1) analyze AcES enrollment data beforeand after applying the new recruitment strategy, (2) conduct surveys to understand theeffectiveness of different recruitment methods in diversifying the cohort, and (3) devise a plan toimprove
hereafter.Assignment Part 1 Summary: Assigned during the second week of the semester Use Excel to generate a table that lists your enrolled courses for each semester you have been at the university so far, as well as course list for the upcoming semester. Use the SUM function to calculate the number of credit hours you are enrolled in each semester. Refer to the academic catalog to ensure you are adhering to the proper pre-requisites and take note of them. If you do not meet these pre-requisites, what are you going to do? Email the professor to schedule a meeting for a debriefing to discuss this assignment.Assignment Part 2 Summary: Assigned during the fifth week of the semester Expand your Excel sheet to generate your graduation paradigm. Use the SUM
, New York University Tandon School of Engineering Jack Bringardner is the Assistant Dean for Academic and Curricular Affairs at NYU Tandon School of Engineering. He is also an Assistant Professor in the General Engineering Department and Civil Engineer- ing Department where he teaches the First-Year Engineering Program course Introduction to Engineering and Design. He is the Director of Vertically Integrated Projects at NYU. His Vertically Integrated Projects course is on Smart Cities Technology with a focus on transportation. His primary focus is developing curriculum, mentoring students, and engineering education research, particularly for project-based cur- riculum, first-year engineering, and transportation. He
/ASME/ASEE interna- tional conferences, and as a reviewer and panelist for numerous externally funded proposals. He served as the general chair for 2016 ASEE NCS Conference, 2011 ASEE NCS conference, Technical Committee Member for IEEE ISVLSI, IEEE MWSCAS, IEEE WF-IoT, and currently serves on the editorial board for International Journal of Forensic Software Engineering. He has served as the Chair of IEEE Northeast Michigan Section, and vice-chair for ASEE North Central Section. He served as PI, co-PI, and senior personnel in several externally funded grants from organizations such as NSF, NASA, and the regional industry. He is a founding advisor for the IEEE Student Chapter at CMU, an elected member of Tau Beta
multiplegenerations about a significant historical event: the beginning of Westward Expansion. Initiallydeveloped for use in a text-only environment, this simulation was designed to present studentswith active learning experiences involving those migrating along the Trail [1]. The game allowsa player to outfit a wagon and then lead a small party on a 2000-mile trek while being cautiouswith supplies, keeping a good travel pace, and learning how to cross a river. While thiseducationally-focused game has achieved near cult-like status, it has also generated complaintsconcerning the lack of representation of those outside of the provided white male protagonistavatar [2]. Although the most common complaint involves the stereotypical portrayal of NativeAmericans
% Table 2. Comments from Survey One (Students Enrolled in CE 111 in Fall 2021). Student Comments “MicroStation is older and less aesthetically pleasing in my opinion. I only prefer it because I was taught it and not AutoCAD. However, I would rather learn and 1 master AutoCAD because it looks a lot better and is more common in the workplace.” 2 “I prefer AutoCAD in general, but MicroStation is fine too.” “From the beginning of the course we have been using MicroStation and not really AutoCAD. We just used AutoCAD for an extra credit assignment so since we 3 were used to MicroStation it was difficult for us to
Engineering Education and the Department of Curriculum and Instruction. Dr. Menekse’s primary re- search focus is on exploring K-16 students’ engagement and learning of engineering and science concepts by creating innovative instructional resources and conducting quasi-experimental research studies in and out of classroom environments. Dr. Menekse is the recipient of the 2014 William Elgin Wickenden Award by the American Society for Engineering Education. Dr. Menekse also received three Seed-for-Success Awards (in 2017, 2018, and 2019) from Purdue University’s Excellence in Research Awards programs in recognition of obtaining three external grants of $1 million or more during each year. His research has been generously
[1], [2], [5]–[7]. This paper will explore the capacity of ACJ tobe used as an assessment and learning tool for first-year engineering students.ACJ Assessment ToolACJ is premised on the comparison of items of work and using software, like RM Compare[7], is driven by an algorithm that intentionally and adaptively pairs two items or portfolios torefine statistics and accelerate achieving a reliable rank order of group performance [1], [2],[4], [5], [8]. The pairs of portfolios generated by the algorithm are presented to several judgeswho compare the work based on specific criteria or on their own perception of professionalconstructs such as innovation, creativity, quality of design, etc. [1]–[10]. Validity has beendemonstrated in both
. Robin Fowler, University of Michigan Robin Fowler is a lecturer in the Program in Technical Communication at the University of Michigan. She enjoys serving as a ”communication coach” to students throughout the curriculum, and she’s especially excited to work with first year and senior students, as well as engineering project teams, as they navigate the more open-ended communication decisions involved in describing the products of open-ended design scenarios.Mark Mills, UM, Center for Academic Innovation Mark Mills is a Data Scientist with the Center for Academic Innovation at the University of Michigan. He is responsible for leading analysis across the Center in support of its mission to leverage data for shaping