Collection

2018 ASEE Zone IV Conference

Authors

Jean L. Lee, California Polytechnic State University, San Luis Obispo

Paper ID #24063Effect of Reflection Prompts on Efficacy, Duration, and Persistence ofAssignmentsDr. Jean L. Lee, California Polytechnic State University, San Luis Obispo ©American Society for Engineering Education, 2018 Investigation of Quantitative Measures of the Effects of Reflection Prompts on the Efficacy, Duration, and Persistence of AssignmentsAbstract This study investigated whether the presence of a reflection prompt in an assignmentaffects the perceived usefulness of the assignment by students (efficacy), the amount of time ittakes to complete the assignment

Collection

2018 ASEE Zone IV Conference

Authors

Nebojsa I Jaksic P.E., Colorado State University, Pueblo; Trung H Duong, Colorado State University, Pueblo

robotwas used for about 25 years to teach undergraduate engineering students robotics concepts andapplications. Originally, the robot’s controller was connected via a 9-pin serial port to an Intel8088-based PC. The PC communicated with the robot via Q-Basic programming language runningunder the Disk Operating System (DOS). One group of students was exposed to two phases ofdevelopment, DosBox and MATLAB environments running in Windows 7 64-bit. Students’attitudes and perceptions surveys, students’ self-reflections statements, and individual studentinterviews, strongly indicated that the old robot with an upgraded computer environment is still acapable tool in developing industrial robotics programming skills.IntroductionIndustrial robots are an

Collection

2018 ASEE Zone IV Conference

Authors

Maria Pantoja, California Polytechnic State University San Luis Obispo; Zoe Wood Wood, Cal Poly - San Luis Obispo

algorithm can be efficiently implemented in computer graphics and parallel programming development settings (for example using GLSL shaders and then openCL or CUDA). 3. Reflection. A culminating document is required in the form of a laboratory report. Teams are required to work together to solve the two labs. We ensure collaboration by requiring each student to submit a lab report with students expected to be able to answer questions about any part of the lab by the TA or instructor. Students report computational timings for both implementations (CG and PP) and explanations for the differences in these timings.Section II ResultsTo assess the students, experience with the inter-class collaboration we used an anonymous

Collection

2018 ASEE Zone IV Conference

Authors

Yitong Zhao, California State Polytechnic University, Pomona

feedback for both instructors and students, long term retention of academicconcepts, improvement in communication, reduction in academic dishonesty, andencouraging critical thinking3, 4, 5.Oral exams are most commonly used in graduate school, where a student’s research ispresented and followed by questions from faculty members. Despite their benefits, oralexams are used much less frequently compared to written tests for the evaluation ofundergraduate students due to time restrictions for large classes, low degree of objectivityin evaluation, and anxiety affecting those who are unfamiliar with the format leading to apoor performance that does not reflect the students’ actual ability3,4,5. An oral examformat is most often seen in business school6,7

Collection

2018 ASEE Zone IV Conference

Authors

Ava Madeline Bellizzi; Susan M Lord, University of San Diego; Elizabeth A. Reddy, University of San Diego

study was conducted.For the first cohort of students, pre- and post-presentation web-based surveys were send to alltwelve students enrolled in Honors Introduction to Engineering. The Preliminary Survey focusedon the extent of students’ project preparation, along with their outlook and perceptions ofservice-learning. The Post-Presentation Survey encouraged students to reflect upon the efficacyand relevance of their experience as far as preparing and presenting their service-learningproject.For the second cohort of students, data was gathered through the use of surveys, a one-on-onestudent interview, and a class discussion that encouraged students to reflect on their experienceby illustrating their self-perceived status within the broader

Collection

2018 ASEE Zone IV Conference

Authors

Sam Spiegel, Colorado School of Mines; Megan Sanders, Colorado School of Mines

industry and needed for the world of tomorrow” (Spiegel, 2016, pp. 1). The modelprovides a framework to analyze, design, and assess courses and learning opportunities acrossthe design, enactment, and post-instruction phases of course implementation. The framework isbroken down into five separate components: Articulate, Design, Enact, Reflect, and Collaborate.Articulate. Engineering Learning begins by articulating the purpose and rationale for a course in a few sentences. This entails addressing four points: 1. Rationale and Purpose of the Course: What is the value and overall purpose of the course? Why this course at this time for the students? How does this course connect to other courses in the sequence?Moving Beyond Active

Collection

2018 ASEE Zone IV Conference

Authors

Tyler Jay Ashby, Utah State University; Wade H Goodridge, Utah State University; Sarah E Lopez, Utah State University; Natalie L Shaheen, National Federation of the Blind; Benjamin James Call, Utah State University - Engineering Education

Tagged Topics

Diversity

ability with Dr. Goodridge at Utah State University. He focuses work in this area towards the adaptation of spatial ability assessment instruments for accessible use with blind and visually impaired populations. Additionally, he is focused on developing engineering educational teaching experiences that aim to deliver engineering content to this population as well as refining existing engineering curriculum to reflect a focus on spatial connections.Dr. Wade H Goodridge, Utah State University Wade Goodridge is an Assistant Professor in the Department of Engineering Education at Utah State University. He holds dual B.S. degrees in Industrial Technology Education and Civil and Environmental Engineering. His M.S. and Ph.D

Collection

2018 ASEE Zone IV Conference

Authors

Zsuzsa Balogh, Metropolitan State University of Denver; Akbarali Thobhani, Metropolitan State University of Denver

Tagged Topics

Diversity

courses formore than one semester term is recommended, as it appears to be beneficial to the program.Expanding the cooperation with possible new academic program developments such as a dualdegree [8] between the Environmental Engineering and Architecture Engineering is planned andrecommended. In order to seek student feedback, the design of a survey tool to be distributed to all students,declared or non-declared architecture minors, has been initiated. The short survey will reflect onthe six ARCH courses offered and will provide the basis for recommendations for futurerefinements of the minor program.References[1] Balogh, Z. E. (2012). Structural Engineering Masters Level Education Framework ofKnowledge for the Needs of Initial Professional

Collection

2018 ASEE Zone IV Conference

Authors

Bridget Benson, California Polytechnic State University, San Luis Obispo; Matt Jamison Burnett, State University of New York at Canton

Tagged Topics

Diversity

ofConvergence in Vermont, New York, and Berlin in 2018.We conclude with four quotes from faculty and students involved in the making of Convergencethat illustrate the project’s impact.Matt Burnett, the faculty project lead and artistic author, remarked that by combining the skillsets, working methods and perspectives of several people, the resulting production vastlyexceeded the capabilities of the involved individuals. “It can be difficult for an artist to give up creative control; but this is perhaps more reflective of arts in the 21st century; a switch from the model of artist as “isolated genius” to “project manager.” The whole is greater than the sum of its parts - which is the thematic spirit of Convergence in the first place

Collection

2018 ASEE Zone IV Conference

Authors

Cheng Chen, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Shahnasser, San Francisco State University; Jun Jian Liang, San Francisco State University; Christopher Alexander Amaro, Cañada College; Adam Albert Davies, ASPIRES ; Priscila Joy Silva Chaix, Cañada College; Jesus Caballero, Canada College; Juvenal Marin Sanchez, San Jose State University; Xiaorong Zhang, San Francisco State University

Tagged Topics

Diversity

set D. The Posterior probability could be calculated as 𝑃𝑃(𝜃𝜃)𝑃𝑃�𝐷𝐷 �𝜃𝜃 �𝑃𝑃(𝜃𝜃|𝐷𝐷) = 𝑃𝑃(𝐷𝐷) , where the Likelihood 𝑃𝑃 (𝐷𝐷|𝜃𝜃) is the probability of realizing anexperimental data D given a set of parameters θ ; the denominator 𝑃𝑃(𝐷𝐷) is the probability of theevidence and could be considered as a normalizing factor; 𝑃𝑃(𝜃𝜃) is the reflected known value ofthe considered parameters, also called as Prior. The MH algorithm is an improved algorithmbased on Markov chain Monte Carlo (MCMC) simulation. The MH algorithm externallimitations and targets are set or approximated before the simulation for better efficiency. ThePosterior probability is then generated using the MH

Collection

2018 ASEE Zone IV Conference

Authors

Vladislav Valeryevich Miftakhov, ASPIRES; Cody Del Prato; Søren Anders Tornøe, Cañada College; Kwan M Lim, San Francisco State University; ali attaran, San Francisco State University; Amelito G Enriquez, Canada College; Cheng Chen, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Kwok Siong Teh, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hamid Shahnasser, San Francisco State University; Wenshen Pong P.E., San Francisco State University

ofelectrons. When this insulating barrier is small enough, just a few nanometers, then electronscan, as defined by quantum mechanics, tunnel their way through the barrier and to the other side.The free layer changes orientation based on Spin Transfer Torque of the electrons and thedirection of the current.Parallel orientation can be generated when electrons pass through the pinned layer first,represented in Figure 1A below. The electrons take on a specified orientation that matches thefixed layer’s magnetic orientation. Due to the electron’s spin polarization they will apply atorque onto the free layer causing the free layer’s magnetic orientation to match the fixed layer’s.During this process some electrons will be reflected back towards the pinned