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
Low-Cost/High-Impact: Success Skills Students Will Actually UseIntroductionArguably, the two biggest challenges facing engineering education are retention and, in general,student learning. Obviously, the two are interrelated but not necessarily simply by studentperformance-- generally indicated by grades. Not surprisingly, studies show there is a strongcorrelation between low GPA and students leaving engineering programs.[1-5] However, thereis also evidence of a broad range of GPAs of graduating students.[6,7] Whether or not theprimary focus of efforts to improve students’ performance are geared towards retention, suchefforts will also benefit all students.While there are many factors that affect students reasoning for leaving
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
the course of Winter and Spring quarters,there were 726 total student registrations for our midterm 1, 2 and finals EIG sessions. A commonsentiment expressed in student feedback is that they appreciate seeing additional practiceproblems, and there is easy access to a tutor to get instant feedback in their problem solving.Our hope is that by sharing our experiences, other engineering educators can utilize this virtualEIG model to expand their repertoire of resources for student success.
similar projects in ourIntroduction to Engineeringcourse is associated withimprovements student perceptionsas measured using theEngineering Design Self-Efficacyinstrument [1]. Results aresummarized in Figure 4. Studentsshow increases in confidence andthe belief that they can besuccessful in engineering. Ofparticular note, women start withlower confidence than men butlater reach the same level of Figure 4: Increases in engineering students’ confidence and successengineering self-confidence as and decrease in anxiety as measured using [1].male students. Anxiety was foundto decrease for both males and females.What Participants will Gain: In this 90-minute interactive session participants will carry out some ofthe essential steps in
] accredited discipline, engineering students across thecountry may not be as aware of Systems Engineering. In fact, the literature shows a general lackof student understanding of engineering, and student knowledge of Systems Engineering is likelylower. FYE students’ perceptions have been shown to be low for engineering knowledge andskill base, along with engineering application and ability. Their perception is high forprofessionalism and personal attributes of engineers, but there is a demonstrated lack ofawareness about the technical skills and knowledge required of all engineers in general [2].Studies of middle school and high school students found that most students, even teachers, at theK-12 level could not describe the work of an engineer
apps, and thedevelopment of sensors for a smart building. Commonality in scope and assessment acrossDesign Sessions and projects was achieved through three common Benchmark assignments.Each Benchmark included specific goals for the project along with an assessment rubric.Figure 2. General course timeline.Design Session 1 emphasized learning the Engineering Design Process (EDP) in detail, includingdata collection and analysis and low-fidelity prototyping. In Design Session 2, students wereexpected to be able to complete certain EDP steps (such as researching the larger problem) withless instruction, enabling more of an emphasis on advancing data collection, analysis, andprototyping. The specific power skills emphasized in each DS also varied
, 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
with the software were observed by the instructors. Assessment of studentperformance on the quizzes was strong with an average of 90.8 ± 11.1. Future course offeringswill continue to implement changes aimed at improved student engagement and learning.References[1] A. Ali and D. T Smith, “Teaching an introductory programming language in a general education course,” Journal of Information Technology Education: Innovations in Practice, vol. 13, pp. 057–067, 2014.[2] O. Solarte Pabón and L. E. Machuca Villegas, “Fostering Motivation and Improving Student Performance in an introductory programming course: An Integrated Teaching Approach,” Revista EIA, vol. 16, no. 31, pp. 65–76, 2019.[3] C. Gordon, R. Lysecky, and F. Vahid, “The
coping.Before delving into the authors’ views regarding the value of enduring pedagogical andoperational shifts that have resulted from teaching in a Covid environment, it is important toexplore some key trends identified in recent literature. The shift to emergency remote teaching inthe Spring of 2020 spawned a flurry of self-study, casual, collegial conversations, andconsultations with teaching and learning support staff by engineering faculty around the country.In [1], it was found that throughout the second half of the Spring 2020 semester, participation inactivities to assess and redesign teaching pedagogies, modalities, and assessments was high andsustained. Despite this increased energy around pedagogical conversation, self-study, andredesign
shown in Table 1. This set of requirements laysthe foundation for all engineering majors. Students matriculate to their respective engineeringmajor after completing the requirements and achieving minimum grade levels.Table 1: First-Year Engineering Required Courses Calculus I Calculus II General Chemistry I Ideas to Innovation I Ideas to Innovation II English Composition Fundamentals of Speech Communication Physics I (mechanics) Science Selective – (General Chemistry II, Computer Programming or Biology):The two engineering courses, Ideas to Innovation I and II, are designed and taught by faculty inengineering education. The four main content areas are design, teamwork, major exploration andcomputing
/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
in Mechanical Engineering from University of New Hampshire, USA and B.Tech [Hons.] in Ocean Engineering & Naval Architecture from Indian Insti- tute of Technology, Kharagpur, India. Her research interests include Computational Fluid Dynamics (CFD), Numerical Analysis and Applied Mathematics, Heat Transfer Applications, Mechanical Design, Nanotechnology, HP/HT Rheology. She also has strong industrial experience as a Senior Technical Pro- fessional at Halliburton [Oil-well Cementing Research & Development]. American c Society for Engineering Education, 2022 Full Paper: Provision of the practical learning environment via application-based
% 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
,Electromechanical, General and Mechanical Engineering majors [12]. The common first-year curriculumfrom 2014-2022 was comprised of 32 total credits that are equally distributed between Mathematics,Science, English and Engineering (Table. 1).Table 1: Common First-Year Curriculum 2014-2022 (R-Recitation hours per week, L-Laboratoryhours per week, C – Total credit hours) Fall Spring Course R L C Course R L C Calculus 1 4 0 4 Calculus 2 4 0 4 Physics 1 3 2 4 Physics 2 4 0 4 English 1
University of Arkansas to teach general Introduction to Engineering and to coordinator for the First-Year Honors Innovation Experience.Mr. Brandon Crisel, I am a 12 year veteran instructor at the University of Arkansas with a BS and MS in Mathematics with emphasis in Statistics and applied Math as well as an MS in Industrial Engineering. I began working in the Math Department, teaching service courses such as College Algebra, Math for Elementary Teachers 1&2, Mathematical Reasoning, and Finite Mathematics. I also helped spearhead the Math Department’s online initiative to create an online program for our service courses while simultaneously implementing a flipped course teaching method to the traditional classes. I
shown that most first-year engineering programs include programming orcomputer tools courses in their first-year curriculum [1]. Many challenges occur in teachingcomputing and computer tools in first-year engineering education courses. Students’ preparationand prior experience vary significantly. Students demonstrate difficulty learning the concepts incomputing and applying those concepts to writing code in a specific language [2][3]. Forengineering students, there can be a disconnect between the learning outcomes desired byinstructors and students’ perception of the connection of writing code to their future profession.This disconnect can impact engineering students’ performance to write code. One of our majorlearning outcomes for our students
students were receptive to completing the mindfulness-basedmeditation in-class and they perceived many benefits. This aligns with prior research that foundthat students are receptive to mindfulness-based interventions [6], [11], they perceive increasesto their interpersonal competencies [6], and they experience reduced stress [5], [6]. Additionally,these findings may also align with previous research, which found that mindfulness-basedinterventions can help first-year students transition to college [8].Instructor ReflectionsAuthor 2 (S1) implemented the mindfulness-based meditations at the beginning of every onlineclass session. This class met every weekday. Author 3 (S2) included 1-2 meditation sessions aweek during the in-person class sessions
experiences. (journal • Now, answer the following questions. What abilities or skills have you learned orassignment 1 practiced in other classes (high school or college) that might relate to, or bedue at start of important for, this class? In those classes, what activities were most helpful in week 2) learning or practicing those abilities or skills? Describe at least three abilities or skills and the activities that most helped with learning them. • Finally, discuss how you have applied each one of those abilities or skills in other settings, like clubs/organizations, sports, hobbies, jobs, research, or as part of life in general
program. The five components of the pedagogy are [1] . 1. Engagement opportunities that meet the needs of an underserved segment of society 2. Academic connection between the engagement and the subject material of a course. 3. Reciprocal partnerships where all benefit from the collaboration. 4. Mutual learning among all stakeholders, built on a foundation of respect. 5. Reflection on the experiences and its implications for the future.Research has shown many benefits for students across many disciplines [2-6]. Withinengineering, evidence shows learning across a broad set of profession and technical skills [7-11].Graduates report easier transition into professional practice and faster advancement in industrypositions [12
roughly equal parts that each member of the team did the same amount of work? • Could the project be accomplished with minimal to no programming knowledge or skill? • Did the project require problem-solving, both at the technical and organizational levels? • Did the project encourage creativity rather than just following a path already laid out?Student PopulationEvery incoming freshman who declares computer science as a major must take this course. It isoffered only in the Fall term. We can be reasonably sure that students are proficient in math andthat they got good high school grades and high SAT scores. They were from the usualdemographic to be found in a school like ours: ages ranged from 17 to 19 and they were frommany
[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
Paper ID #36384Familial Influence on the Choice to Study Engineering: Insights from aCross-University Study.Miss Amanda Marie Singer, Michigan Technological University Amanda Singer is a PhD student in the Department of Engineering Education at the Ohio State Univer- sity. Prior to attending OSU, she received a B.S. and M.S. in environmental engineering from Michigan Technological University. Her current research interests include understanding engineering identity and motivation in first-generation college students, online learning pedagogy, and service learning projects.Mrs. Katrina L Carlson, Michigan Technological
three assignments analyzed in this study.Figure 3 shows box and whisker plots of final score (out of 100) of all 651 students in Fall 2021categorized by the CATME flags they received in Project 1 Report. 88% of the students did nothave a CATME flag (n = 575; mean = 93.6). Final scores of students flagged as “LowPerformer” had a wide range and were generally lower than students with other CATME flags (n= 5; mean = 59.4). Students flagged manually for having an adjustment factor < 0.8 did betterthan the “Low Performer” category (n = 30; mean = 83.5) and performed similar to studentsflagged as “Overconfident” (n = 9; mean = 85.3). “Manipulator” flag was rare (n = 2), with bothstudents with this flag receiving high final scores. For all other