Collection

2020 First-Year Engineering Experience

Authors

Pichayathida (Alice) Luanpaisanon, University of Virginia; Carter Kenneth McCullough, Human Machine Interface Research Lab; Ryan Van Der Zee, Caterpillar Inc.; Ruth Wertz P.E., Valparaiso University; Reva E. Johnson, Valparaiso University

algorithmic thinking.This study involved developing haptic learning tools for students using the Haply robot, a low-cost, commercially available haptic device. The device was programmed to generate two virtualmodels: 1) a static beam subjected to shear force and bending moment loads, and 2) a blocksubjected to acceleration and frictional force on contact surfaces. In response to user inputs, thesystem then returns force feedback to the user via the Haply manipulato r.The goal of this study was to examine the effects of an educational haptic device on the students’algorithmic thinking as well as intuitive and conceptual understanding. The haptic deviceprovided tactile information that reflected the real-world systems. Such hands-on learningexperience

Collection

2020 First-Year Engineering Experience

Authors

Briana M Bouchard, Tufts University; Kristen B Wendell, Tufts University; Ethan E Danahy, Tufts University

Tagged Topics

Diversity

scaffolded reflection about engineering group work interactions. The moduleprovided students with the opportunity to assess and evaluate their own discussions for equityand inclusion as well as those of experienced engineers. Data were obtained in the form ofstudent written work and post-intervention in-class video of student group interactions.IntroductionGroup work is a fundamental component of undergraduate engineering programs and offersstudents the chance to practice student-to-student interactions within an engineering team. Notonly does the engineering studies literature emphasize that team interactions are central toprofessional engineering practice [1], [2], but also the engineering and science educationliterature has emphasized that group

Collection

2020 First-Year Engineering Experience

Authors

Mary Katherine Watson, The Citadel; Simon Thomas Ghanat P.E., The Citadel; Timothy Aaron Wood, The Citadel; William J. Davis P.E., The Citadel; Tara Hornor, The Citadel; Kevin C Bower P.E., The Citadel

Tagged Topics

Diversity

GPA = 3.33; Calculus II GPA = 3.25). ParallelCalculus I and II sections had average GPAs of 2.17 and 2.15 with DFW rates of 35% and 38%,respectively. In focus groups, students shared that they indeed valued their mastery experiences.Acknowledgement: This material is based upon work supported by the National Science Foundation under GrantNo. 1741611: Encouraging Civil Engineering Retention through Community and Self-Efficacy Building. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation. Reference: [1] Bandura, A., Self-efficacy:Toward a unifying theory of behavioral change. Psychological Review, 1977. 84(2): p

Collection

2020 First-Year Engineering Experience

Authors

Matthew Wettergreen, Rice University; Joshua Brandel

** CNC Machining NO - NONE Molding/Casting NO - NONE Mill/Lathe NO - NONE^Survey results and stats are taken from Wettergreen, 2020 [8]*A 3D Pen (3Doodler) was supported for an experimental group of students participating in arelated study. It is not considered a core component of the curriculum and is not usually taught.**The maker space in which the class takes place provides resources including lab assistants,online training, public workshops, and step-by-step instructions posted on machines.As reflected in Table 1, statistically significant increases were observed in student

Collection

2020 First-Year Engineering Experience

Authors

Natalie C.T. Van Tyne P.E., Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Paper ID #32058GIFT: The Influence of Stakeholders in Ethical Decision MakingMrs. Natalie C.T. Van Tyne P.E., Virginia Polytechnic Institute and State University Natalie Van Tyne is an Associate Professor of Practice at Virginia Polytechnic Institute and State Univer- sity, where she teaches first year engineering design as a foundation courses for Virginia Tech’s under- graduate engineering degree programs. She holds bachelors and masters degrees from Rutgers University, Lehigh University and Colorado School of Mines, and studies best practices in pedagogy, learning strate- gies, reflective learning and critical thinking

Collection

2020 First-Year Engineering Experience

Authors

AJ Hamlin, Michigan Technological University; Amber Kemppainen, Michigan Technological University; Brett Hamlin, Michigan Technological University; Norma L Veurink, Michigan Technological University; Jon Sticklen, Michigan Technological University

Tagged Topics

Diversity

think the teaching model (prepare before class, solve problems in class using what Ilearned) helped me to learn because itmade me responsible for my ownlearning.” This is an increase of nearly20% from the Fall 2017 responses.Another measure of studentsatisfaction with the overall revision ofthe first-year program is reflected inthe end-of-term course evaluations.The overall average responses for thequestions on the course evaluations areshown as a function of time in Figure3. An average was calculated forresponses on the following topics: (a)instructor enthusiasm, (b) clarity ofinstructor communications, (c)encouragement by an instructor toparticipate during the in-class time, (d)encouragement by an instructor toparticipate in class prep

Collection

2020 First-Year Engineering Experience

Authors

Junfei Li P.E., The University of Texas Rio Grande Valley; Jaime Ramos-Salas, The University of Texas Rio Grande Valley; Cara Li, Carnegie Mellon University

scores match those expected scores,i.e. the degree of the platform effectiveness. Moreover, except for one data point of Introductionto EE, Q4, Intro to EE always scores lowest and Digital II always scores best for all 16 questions.Indeed, using an overall score from -1 to 1 representative of all questions as in the equation 16 𝑆̅ = ∑ 𝑆(𝑛)𝑆𝑒 (𝑛) /16 𝑛=1the surveys from Intro to EE, Digital I, and Digital II gave scores of 0.24, 0.50, and 0.69respectively. One explanation is that the results reflect the growth pattern of the learning curve ofFPGA platform. As students become more knowledgeable about digital logic design

Collection

2020 First-Year Engineering Experience

Authors

Mary Katherine Watson, The Citadel; Simon Thomas Ghanat P.E., The Citadel

engineering; therefore, strategiesto build self-efficacy may prove to encourage persistence of diverse groups in engineering.AcknowledgementThis material is based upon work supported by the National Science Foundation (NSF) underGrant No. 1741611: Encouraging Civil Engineering Retention through Community and Self-Efficacy Building. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NSF.References[1] A. Baisley and V.D. Adams, "The Influences of Calculus I on Engineering Student Persistence," ASEE Annual Conference and Exposition, Tampa, FL, 2019. Avaialable: https://peer.asee.org/33386.[2] N. W. Klingbeil and A. Bourne, "A National

Collection

2020 First-Year Engineering Experience

Authors

Samuel John, Wayne State University; Cameron Hanson, Wayne State University; James Lenn, Wayne State University; Marcis Jansons P.E., Wayne State University; Jeffrey Potoff, Wayne State University

moreenhanced and innovative projects.CONTROL MODULESThese modules implement algorithms which control actuators and indicators based on user andsensor inputs. An example is the algorithm which monitors inputs from an ultrasonic sensor andraises a drawbridge when a vessel is detected at a predetermined distance from the bridge. Thedistance measuring capability is based on the reflection of sound waves. The time interval betweentransmission of a pulse and the reception of its echo determines the distance which is calculatedas: Speed of sound ∗ time Distance = (1) 2Based on calculated

Collection

2020 First-Year Engineering Experience

Authors

Joie Marhefka, Penn State New Kensington; Dalynn D Park, Penn State New Kensington; Laura E Cruz, Penn State

students (60%). These numbers reflect the typical students in thismajor. Over the past five years, graduates of the program (n=51) have been 92% male, 39%adult learners, and 14% military veterans.We collected multiple sources of evidence for this study including pre- and post- survey data(scaled responses) using a career self-efficacy scale, student artifacts, and formative assessmentquestions. The career self-efficacy scale asked students to assess their confidence on a five-pointscale, and these rating were tested for statistical significance. Student artifacts, includingassignments and projects, were evaluated by two independent raters who used a 4-point scale(ranging from 0 (below) to 3 (exemplary)) across five desired outcomes: description