engineering year. In general, it is expected that students enrolled in Pre-Calculusand Calculus I in the first semester are the most at risk for persistence in engineering. In aUniversity of Michigan study by Koch and Herrin, it was found that students with an A to Bgrade in Calculus I had a 74% six-year graduation rate versus a 54% graduation rate for studentswith a B- to C grade in Calculus I.8 Page 14.118.3In this paper, a comparison is made in the first-year GPA and first-year retention for engineeringstudents versus three other student sectors. Although no literature comparisons were foundacross majors for the first-year GPA and retention
why the mentee is incollege - a theme for future discussions. They also discuss the benefits of going to class, whereto get free tutoring, and study habits. At the end of the first meeting, the mentor and mentee bothsign the Mentor and Mentee Agreement. This agreement, adapted from Brainard3, sets in writingthe expectations and conditions of the mentor and mentee relationship. The form spells out:a) the objectives, b) the confidentiality issue, c) the frequency of meetings, d) the duration of thementoring relationship, and e) the no-fault termination clause. It is important for the student toknow they can terminate the relationship for any reason at any time, without guilt, hence the no-fault termination.10 This agreement is signed by both
. The incorporation of the novel isalso intended to foster appreciation for non-technical studies as well as the interpretive skills thatserve those studies, and this instructor would be quite pleased to cultivate an appreciation forliterature as an end in itself.References [1] E. Burton, J. Goldsmith, and N. Mattei, “How to teach computer ethics through science fiction,” Commun. ACM, vol. 61, no. 8, p. 54–64, Jul. 2018. [Online]. Available: https://doi.org/10.1145/3154485 [2] J. Schummer, B. MacLennan, and N. Taylor, “Aesthetic values in technology and engineering design,” in Philosophy of Technology and Engineering Sciences, A. Meijers, Ed. North Holland, 2009, section 4; author Bruce MacLennan. [3] S. Zilliox, J. Smith, and C
Paper ID #6064A Taxonomy of Engineering Matriculation PracticesMs. Xingyu Chen, Purdue University, West Lafayette Xingyu Chen is a Ph.D. student in the School of Engineering Education at Purdue University. She ob- tained her master’s degree in operational research and bachelor’s degree in mathematics from Zhejiang University, China. She started to pursue her Ph.D. degree in engineering education at Purdue in 2010. She is working with Dr. Ohland on the Multiple-Institution Database for Investigating Engineering Lon- gitudinal Development (MIDFIELD), and also on the Integrated Postsecondary Education Data System (IPEDS
Paper ID #18212An Active Learning Environment to Improve First-Year Mechanical Engi-neering Retention Rates and Software SkillsBenjamin B. Wheatley, Colarado State University Benjamin Brandt Wheatley was awarded a B.Sc. degree in Engineering from Trinity College (Hartford, CT, USA) in 2011. He spent one year in industry at a biomedical device company before returning to graduate school. He is a doctoral candidate in the Department of Mechanical Engineering at Colorado State University (Fort Collins, CO, USA). His engineering education areas of interest include cultural competency, active learning approaches as they
before postdoctoral studies at City College of New York. He is currently an associate professor at Montana State University.Dr. Carrie B Myers, Montana State University Dr. Carrie B. Myers is a professor in Adult and Higher Education graduate program at Montana State University in Bozeman, Montana. Her research areas include (1) socialization experiences of undergrad- uate and graduate students in STEM, with a special interest in underrepresented groups; (2) institutional factors and faculty practices that enhance students’ learning and socialization experiences; and (3) the P20 context and how it increases students’ higher education outcomes. American c
or B increasedsignificantly. In particular, the passing rates in Calculus I for students involved in the projectcompared to those who are not are 69.7% and 56.7%, respectively. The corresponding passingrates for Calculus II are 84.2% and 66.7%, respectively. In addition, the percentage of studentswho earned grades of A or B for those involved in the project compared to those who are not are46.4% and 35.0%, respectively in Calculus I and 57.3% and 38.7%, respectively in Calculus II.Adjustments continue to be made to achieve the project goals. Furthermore, as the projectactivities required significant coordination among different campus offices and academicdepartments, changes are made in processes to facilitate collaboration. The project
students.The authors would like to present the paper as a poster.IntroductionSimple harmonic motion (SHM) follows logically from linear motion and circular motion. Howeverfundamental it may be to engineering students, SHM is one of the more demanding topics andoften misunderstood. Researchers found that passive instruction by talented teachers imparted littleconceptual understanding of Newtonian mechanics [1]. Good physical insight can lead to a deeperunderstanding of displacement and oscillation, which is a pervasive phenomenon in STEM. Eachcourse module has two parts: a) three virtual lecture classes with PowerPoint presentation ontrigonometry, wave motion and MATLAB coding and b) a hands-on lab exercise using a mass-spring system and the phone app
of technology in the classroom and improving student outcomes through hands-on and interactive experiences.Debra Mascaro, University of Utah Debra J. Mascaro is the Director of Undergraduate Studies in Mechanical Engineering at the University of Utah. She holds a B.A. in Physics from Gustavus Adolphus College in St. Peter, MN and a Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology. She teaches freshman design and senior-/graduate-level classes in microscale engineering and organic electronics.Robert Roemer, University of Utah Robert B. Roemer is currently a professor of Mechanical Engineering at the University of Utah. He received his B.S. degree
Paper ID #12126Implementing and Evaluating a Peer Review of Writing Exercise in a First-Year Design ProjectDr. Kathleen A Harper, The Ohio State University Kathleen A. Harper is a senior lecturer in the Engineering Education Innovation Center at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of
Page 26.700.5engineering.13GradesAs mentioned earlier, our primary goal for these modifications to the first year engineeringcourse was to increases students’ ability to succeed in their math courses. To assess theeffectiveness of the changes to the course, we examined students’ grades in other coursesrequired for majoring in engineering.Calculus IFigure 4 and Table 1 compare the grades for students either co-enrolled or enrolled in Calculus Iafter completing either the Project-Based or Math-Focused versions of the First-YearEngineering course in the fall of 2013. Comparing the distributions, a significantly higherproportion of students in the Math-Focused class earned a grade of A or B compared to theproject-based class, while the proportion
B showsthe rubric for the final report. The rubric for this stage uses the two Problem Definitionexpectations from this final rubric plus an expectation for the overall presentation and format ofthe memo. Students continue to work in their self-selected pairs for this assignment. Page 25.845.6Table 2: Problem Definition Worksheet Overall Goals Write a paragraph succinctly describing the key aspects of the project objective. Make your definition precise as possible and include any major constraints. Detailed Goals
the course, with the possible inclusion of a mastery exam.29References1. P. Blowers, “A Course on Freshman Survival Skills,” Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition (2002).2. Christopher J. Rowe, Anita Mahadevan-Jansen, “Module-based Freshman Engineering Course Development” Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition (2004).3. W. K. LeBold, H. Diefes, W. C. Oakes, “Helping First Year Students Make Critical Career Decisions,” Proceedings of the 1999 American Society for Engineering Education Annual Conference & Exposition (1999).4. B. Engerer, M. Hagenberger, and D. Tougaw, “Revision of a First
facilitateimproved student learning.The performance of the students in the flipped classroom format was comparable to previoustraditional format offerings. In 2015, the final student average was a B+, and the 2016 finalstudent average was between B/B+. This compares well to the previous 2014 average of a Bgrade. However, it should be noted that the grade breakdown varied between each offering: • In 2014: 50% final exam, 30% midterm exam, and 20% lab assignments. • In 2015: 40% final exam, no midterm exam, 15% quizzes, and 45% lab/project assignments. • In 2016: 40% final exam, 25% midterm exam, 5% quizzes, and 30% lab/project assignments.The grade breakdown was changed based on 2015 implementation results. The lack of
stronger, see Figure 5(b)). Finally, studentsplotted the gravitational force as a function of separation distance between two atoms. Thisexercise further emphasized that gravitational forces are insignificant at the nanoscale due to thenegligible molecular masses. Students were also assigned a couple of homework problems thatfurther emphasized the nature of forces at atomic level. (a) (b) Figure 5: Hands-on activities in LABVIEW environmentPost-module Survey: As part of assessment activities in EngE1024, an exit survey has beendeveloped and implemented since Fall ‘0418. Additional questions were added to this survey for
midterm exam was held in week 7. Question 7, shown in Appendix C, has parts b) and c)which tested the students on moments in three dimensions and about an axis. Question 8, theentire question of which tested the students on simplification to a wrench resultant, is shown inAppendix D. Note that some parts of the questions ask the students to prove intermediate results,which may also be used to solve subsequent parts even if the proof is not obtained. Question 8part c) offers the student either method of solving the wrench resultant, after which in part d) thecontinuation of the chosen method is expected. The marking scheme is also included in theaforementioned appendices. For consistency, the same TA marked a particular question. Theyare also told
DFW rate of 18%, while studentswho had not taken a physics course prior to Engineering Physics experienced double the rate, a40% DFW rate. In addition, students with prior physics experience earned grades of A and B ata much higher rate (49% A and B rate) in comparison to those without this background (28% Aand B rate). Page 26.117.4Table 1: Success rates for students with and without prior physics experience Students who did not take Students who took physics in high school physics in high school # 25 76 # DFW 10
Paper ID #9711A Longitudinal Study of the Impact of a First-Year Honors Engineering Pro-gramDr. Kathleen A Harper, The Ohio State University Kathleen A. Harper is a faculty lecturer in the Engineering Education Innovation Center at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of engineering. Her
of the exam wrapper assignment. Additionally, to be eligible for participation inthe current study, students needed to complete all formal exams or assessments linked to theexam wrapper activities. These qualifications provided us with a total sample of 54 students, or71.05%, from the second cohort, compared to 78 students, or 85.71%, from the first cohort.Data CollectionThe specific pieces of student data collected for this study include all components of the examwrapper activity. These materials include several assignments associated with the first round ofexams (Exam Wrapper After-Action Review #1 Stage 1 [Appendix B], Stage 2 [Appendix C],and Stage 3&4 [Appendix D]), as well as the assignment associated with the second round ofexams
the datato supply these recommendations, and drafted this paper, all in an effort to learn the value ofassessment and subsequently enhance the upcoming 2010 program.References[1] Gattis, C., Hill, B., Lachowsky, A., A Successful Engineering Peer Mentoring Program.Proceedings of the ASEE Annual Conference and Exposition, 2007.[2] Gibbons, Michael T., Engineering by the Numbers. Retrieved 30 November fromhttp://www.asee.org/publications/profiles/upload/2008ProfileEng.pdf[3] Kuh, George D., Kinzie, Jillian, Schuh, John H., Whitt, Elizabeth J. 2005 Student Success inCollege: Creating Conditions that Matter. Jossey Bass. San Francisco, CA.[4] Patterson, R., Aarons, T., Crede, E., Hines, K., Bile, J.L., Chelko, J., Hubbard, R., Gooden,F., Edmister
-STEM majors. Though these students move into the STEMdisciplines, many leave STEM prior to degree completion. Beggs, Bantham, and Taylor4suggested that there are basically four categories of factors that influence the career decisionmaking process. Included in these are the (a) influences of other individuals (family, friends,teachers) or media, (b) rewards of the job (extrinsic and intrinsic), (c) fit and interest in the fieldand (d) characteristics of the major/degree (ease of coursework, faculty reputation, exposure tointroductory material). The researchers implied that students made career decisions based not oneducation about the options and assessment of their personal values, interests and beliefs, but oninfluence and assumption
(b) notbeing able to differentiate between essential and non-essential information [13]. The PREPmodule provides a clear structure to help students determine the "essential" course components.Widespread implementation resulted in several minor modifications, especially concerning theweighing of grades and use of pre-requisites; however, the core structure remained consistentthroughout all sections of the courses and instructors saw value in its use. Instructors appreciatethe structure and it has helped to establish a clear timeline for course content delivery. One ofour new instructors provided a review of the (PREP)ARE module structure saying, "as anonboarding professor, it was very helpful to have this material selected a priori. It helped
presents the results of faculty who have been teaching with our first year program forthree years or more and have been involved in cornerstone planning and teaching. The effect ofcontinual course improvement is exemplified in several cases presented here. Looking atindividual instructor scores from the University-administered student perception survey data, wesee the story of how capital improvements and the feedback has aided in teaching effectivenessscore improvement. For instructor A, we see a large jump in teaching score with the completionof the learning center between arrows 1 and 2. Looking at the specific case of Instructor B, wesee that with any first time teaching a course there is a drop in the students’ scoring of teachereffectiveness
. Therefore, it appeared that students were able to grasp the basic concept of the two’s complement number representation, but more practice and feedback needed to be provided to ensure that students fully understood the concept. Changes will be made to future offering of the course to address this issue. Two's Complement Exam Items 100% Class A 90% Class B 80% Percentage Correct 70
(b) Building a LEGO robot (c) Programming (d) Asking for help (e) Testing (f) Demo Page 22.53.4 Figure 1: Students in the robotics labObservations and ResultsThe courses Introduction to Engineering and Problem Solving for Engineers are two of the first-year engineering courses. Most students in these courses were new to each other, to the facultyand to the campus. According to the Tinto model13, the more they interacted with theirclassmates and the faculty, the higher the probability they will succeed in
Engineering Course Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.27181 2. Freeman, S, Whalen, R., Pfluger, C., Sivak, M., Hertz, J., Maheswaran, B. (2016) The Cornerstone Course: Projects and Progress. 2016 FYEE Annual Conference. 3. P.J. Guo, J. Kim, and R. Rubin, “How video production affects student engagement: An empirical study of MOOC videos,” in Proceedings of the first ACM Conference on Learning at Scale, Atlanta, GA, March 2014. 4. Fraley, M. A., & Hamlin, A. J., & Kemppainen, A., & Hein, G. L. (2015, June), Using Pre-lesson Materials and Quizzes to Improve Student Readiness and Performance Paper presented at 2015 ASEE Annual
oftheir ideas; (b) Question and Understand: once confronted with opposing views, uncertainty andcuriosity result, which leads to a search for clarifying information about others’ perspectives; (c)Integrate and Create: various elements of different viewpoints are incorporated into a newunderstanding of the problem; and (d) Agree and Implement: action plans are agreed upon andassigned. As might be expected, groups scoring high on CC are viewed as more innovative19 andtend to make higher quality decisions18. Aligning with the previous theories, CC emphasizesleveraging a team’s combined knowledge and mental processing potential through productive
) (b) Figure 1. Examples of student designs created in (a) 2014 and (b) 2015.The project took place over a 7 week period (outlined in Table 2). Throughout each week, theengineering design process was a constant theme and lessons were focused on matching steps inthe design process. In addition, groups were required to turn in intermediate design proposalsand group review memos before the final project was due. Table 2. Project Timeline over 7 weeks of the course DATE COURSE CONCEPT STEP IN ENGINEERING DESIGN PROCESSWeek 1 Describe design and constraints of the project Needs
withmicrocontrollers does not mean that students will respond positively. Instructors used the “buzz”about the Arduino to motivate students, by indicating that the students were using a new andpopular technology. Instructor observations of student reaction showed that students were notuniversally inspired by or interested in the technology. This makes sense because the definitionof “cool” is not uniform for engineering students. Assessment was performed with an end-of-term survey of student attitudes toward thecourse and how it affected their career plans. Students were asked whether the use of theArduino platform changed their attitude toward computer programming and electromechanicalsystems. The complete survey is included in Appendix B. Results from
cross-sections test. Hanna explained, For this one, because the cut from here and at here we will not have the same size so it will, and it is not a triangle because it does not meet at any part in the blue one… so, it’s not B and I think the upper here is smaller than the cut at the base.She seemed to have a particular criterion or expectation of what the correct answer should looklike based on the cut. This fits into the strategy we have classified as, guiding rule. Then, basedon this criterion, she could eliminate the unlikely answer choice, thereby demonstrating aprocess of elimination. Purdue Spatial Visualization Test: Rotations (PSVT:R): In this section, we discussstrategies students used in solving PSVT: R