evidence related to the knowledge gains associated with reflection activities in engineeringeducation, and it would be powerful to see the information about knowledge gains embedded inmore comprehensive research designs that connect the knowledge gains students report, thereactions they have to reflection activities, and more distal performance-based indicators oflearning (e.g., exam performance, design project success, job acquisition, employer satisfaction).We see the work reported here as helping the engineering education community build thecapacity to ask such questions.ContributionsThis work contributes to the conversation about the role and value of reflection in engineeringeducation. Specifically, the work has theoretical, empirical and
coursesubject. Using the course LMS to reinforce this education with items to read, tasks to complete,and a means of electronically collecting signed pledges of academic honesty is also a goodpractice across academia. However, some tools discussed here may not apply in all courses. Forexample, the randomized algorithmic questions work best with "bite-size" quantitative problemsrather than long multi-stage problems or more qualitative questions. Products such as Turnitin orSafeAssign can be helpful for evaluating students' writing assignments, but they won't help withan assignment to write code for a computer program to run. Some schools have developedmechanisms to evaluate coding projects for impermissible similarity, but that may not be capableof
). Moreover, mobile commercepenetration is helping to spur mobile payment adoption [15].The concept of mobile payments was first developed by Coca-Cola in 1997, using a RadioFrequency-Identification (RFID) terminal. This spurred innovation of several other methods ofmobile payment over the years, such as PayPal which was founded by eBay in 1998, to replacethe existing payment methods [4]. However, end user acceptance of mobile payments has fallenshort of projections. Although some regions of the world have found more success in mobilepayments adoption than for example Japan, China, and Turkey, Asia Pacific in particular leadsthe mobile payment adoption charts, with the highest level of confidence in these transactions at65%, and in 2016 China
through the CU Teach Engineering program. Additionally, she mentors graduate and undergraduate engineering Fellows who teach in local K-12 classrooms through the Integrated Teaching and Learning Program’s TEAMS initiative, is on the development team for the TeachEngineering digital library, and is faculty advisor for CU-Boulder’s Society of Women Engineers (SWE). Her primary research interests include the impacts of project-based service-learning on student identity, pathways and retention to and through K-12 and undergraduate engineering, teacher education and curriculum development.Dr. Janet Y. Tsai, University of Colorado, Boulder Janet Y. Tsai is a researcher and instructor in the Engineering Plus program at the
.96 .97 Q.2 Ask the right questions to get to the root of a problem .68 Q.3 Ask more questions than my classmates .87 .77 Q.4 Ask the kind questions that change the way others think about a problem Q.5 Ask questions that challenge fundamental assumptions Q.6 Ask questions to understand why projects or designs underperform Idea Networking I.1 Build a network of people for new perspective, refine my ideas .82 .79 I.2 Seek advice of students and faculty to test ideas I.3 Reach out
the KS2 survey may bedue to the timing closely coinciding with a project deadline. There may also have been somesurvey fatigue associated with the third administration of the survey. These two factors mightalso have negatively affected the time and effort invested by those students who did respond.Two additional observations are that there is a visibly stronger correlation for the highest-performing students and that the normalized survey score generally under-predicts the examresult for the lowest-performing students. Bell (2005) observed that higher-performing studentsappeared to be better at estimating their knowledge than lower-performing students and attributetwo explaining factors.1. Low-performing students are generally less capable of
communication, graduate students also reported they learned theimportance of reducing the amount of jargon used in communication: I learned about tailoring a message to a specific audience and how to explain complex technical subjects without using jargon. (Survey)Finally, the specific presentation skills that make for effective communication were alsofrequently reported by graduate students as an important communication skill they learned: I learned how to make clear and concise figures, graphics, and slideshows. I also learned a little more about projecting my voice and keeping good posture during a presentation. (Survey) [I learned] design and utilization of tangible 3D visual aids (atom models etc. ...) for
Paper ID #26007The Logic of Decision Making in Engineering Design: An Examination of De-sign Theories From A Logical Point of ViewDr. Soheil Fatehiboroujeni, Indiana-Purdue University Soheil FatehiBoroujeni received his Ph.D. in Mechanical Engineering from the University of California, Merced in 2018. As a postdoctoral researcher at Purdue University, School of Engineering Education, Soheil is working on a multi-institutional project characterizing governance processes related to change in engineering education, and pursuing other research interests in epistemology and design, among other philosophical topics in engineering
engineering major?and (2) Can you describe a time that you felt you did not meet these expectations? Additionally,they were asked to provide their email address if they consented to the possibility of beinginterviewed for our project. Nicole was one of 21 individuals who responded to this samplingsurvey to indicate her willingness to participate in the study.Mackenzie and Benjamin jointly interviewed Nicole at n location on her campus. Benjaminadopted a leading role in conducting the interview while Mackenzie asked questions in line withthe study’s objectives and within the flow of the interview. Benjamin and Mackenzie practicedthese interviewer roles in an earlier, unanalyzed pilot interview to ensure that their speaking andpresence was coordinated
results and their interpretations of these your model or solution? results How could [big idea] explain your results? Optimization How will you improve your solution? What are the results from your retest? Which solution best addressed the problem? How could what you know about [big idea] explain what happened?Context of the studyThis study is part of a larger project entitled, Science Learning through Engineering DesignPartnership and is situated within a multi-year, school and university, math and sciencepartnership located in the Midwest region of the U.S. The
connectionbetween parts one and two.The quantum dot data collection went very smoothly, and all three students were able tobuild a spreadsheet with their data and results without issues. It is possible that afreshman or sophomore may experience more difficulties when reading the theory andcollecting data due to less experience in a laboratory setting.6 AcknowledgementsThis project is supported by the National Science Foundation through the ATE program,Award No. ATE 1700695. Any opinions, findings, and recommendations expressed in thispaper are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References [1] Klaus D. Sattler, Ed., Handbook of Nanophysics: Nanoparticles and Quantum Dots - Google Books. Boca
difficult2 – Not very difficult3 – Somewhat difficult4 – Moderately difficult5 – Very difficult To develop the skill-set of researchers involved in this project who were new toqualitative methodology and to identify features of our presentation that facilitated or hinderedthe experts understanding the exam questions and coming to a consensus, we decided to conducta beta version of the focus group. In the course of the beta focus group and upon reflection, we decided to make thefollowing changes to our procedure for the official focus group: 1. Because the experts often ranked questions as being between two levels of difficulty, e.g. between a “2” and a “3,” we determined that a scale of 1 - 10 would be more useful for
Paper ID #21972The Challenges and Affordances of Engineering Identity as an Analytic LensMs. Christine Allison Gray, Northern Arizona University Christine Allison Gray is a doctoral student in the College of Education at Northern Arizona University. She also serves as a graduate assistant on the Reshaping Norms project in the College of Engineering, Forestry and Natural Sciences.Dr. Robin Tuchscherer P.E., Northern Arizona University Dr. Tuchscherer currently serves as an Associate Professor at Northern Arizona University where he has taught since 2011. Prior to academia, he accumulated eight years of professional
(NYU), NY, USA. During his period at NYU, Dr. Rahman served as the lead robotics instructor for the Center for K-12 STEM education, and leaded the implementation of a large NSF-funded project entitled “DR K-12: Teaching STEM with Robotics: Design, Development, and Testing of a Research-based Professional Development Program for Teachers”. During that time, Dr. Rahman received license from the New York City Department of Education to conduct robot-based K- 12 STEM education research in different public schools across New York City, trained about 100 public school math and science teachers for robot-based K-12 STEM education, and reached more than 1000 K-12 students across New York City. He then worked as an assistant
student improvetheir 3D modeling skills, students complete bi-weekly labs, weekly homework assignments,three projects, and take the Certified SOLIDWORKS Associates (CSWA) exam. The bi-weeklylabs require students to produce a 3D CAD model of a part or assembly based on an engineeringdrawing. Labs generally take students less than 30 minutes to complete. The weekly homeworkassignments require the completion of tutorials and/or modeling parts or assemblies from thetextbook [2]. Weekly homework assignments consistent of 3-5 parts or assemblies that thestudent must create in the CAD software.Although assigning extensive opportunities to model helps with mastering 3D CAD software,efficiently grading the work is challenging. In the spring 2018 semester
. Framing is the set ofexpectations one has about a situation [21, 22]. In our study, some students framed their solutionas meeting the expectations of the instructor, while in other instances students discussed theirsolution as if they were analyzing a bridge that would be built in the real world. Similarly,Koretsky and Nolen found students discussing their projects either in the “school world” or the“engineering world” when examining chemical engineering middle year studio and senior designteams [23, 24], and McNeill et al. found similar results where students distinguished between“classroom problems” and workplace problems” [25]. Gainsburg also found different ways thatstudents framed mathematics in engineering courses: from believing that every
projected average salary to be statistically different betweenthose who were formerly postdocs and those who did not obtain postdocs. The opportunity costof postdoc training in terms of salary also appears to vary across employment sectors, with thestakes particularly high for those eventually employed in industry. For PhDs who remain inacademia, time as a postdoc may improve early career earnings. Therefore, from the perspectiveof financial returns to doctoral training, it is important for engineering PhDs to consider the long-term career prospects in different sectors. For engineering PhDs with career interests in non-academic employer sectors, awareness of the potential delay in salary growth associated with thelow payment during postdoc
computational engineering courses, such as thetraditional lecture and the flipped classroom, and have aspects of a hybrid approach of these twotechniques.In a traditional engineering lecture, the instructor typically transfers written notes to a physicalsurface (whiteboard), or projects them on a screen using physical transparencies or a tabletcomputer. This method of content delivery is generally characterized by limited interactionbetween the lecturer and the students; the content tends to be presented in a linear andchronological manner. Students typically do not practice the art of note-taking, as they would fora history or literature course, which requires active listening and the ability to synthesizeinformation and identify major topics and
Education. He was named NETI Fac- ulty Fellow for 2013-2014, and the Herbert F. Alter Chair of Engineering (Ohio Northern University) in 2010. His research interests include success in first-year engineering, engineering in K-12, introducing entrepreneurship into engineering, and international service and engineering. He has written two texts in Digital Electronics, including the text used by Project Lead the Way. c American Society for Engineering Education, 2016 Agent-Based Modeling and Simulation of Depression and Its Impact on Students’ Success and Academic RetentionAbstractIn the U.S., major depressive disorder affects approximately 14.8 million American adults.Furthermore
- project management, 17 - business and public administration, and 18 -leadership.Given the background related to individuals’ needs for autonomy and the importance thatengineers possess both technical and non-technical skills, the following research questionsmotivated this study:(1) To what extent do top-ranked environmental engineering programs allow students to make choices in their courses (such as free electives and technical electives)? a. How do choice opportunities in EnvE compare to chemical and civil engineering degrees? b. How do choice opportunities in EnvE compare to non-engineering degrees in chemistry, math, and physics?(2) What is the balance of required technical and non-technical courses in top
AssessmentMany of the activities presented in this MOOC were directed at students’ personal growth,while others focused on the mastery of core principles. As a result, a strong emphasis wasplaced on students’ personal learning paths and on building meaningful insights through theexercises and projects rather than accumulating “right or wrong” answers. A task list wasdefined for those students interested in earning a course Statement of Accomplishment thatincluded the completion of 5 of the 6 weekly assignments. To complete a Statement ofAccomplishment with Distinction, students had to fulfill all these requirements and alsocomplete at least 2 peer reviews of other students’ work for each submitted assignment.2.6 Weekly AssignmentsThe six creative
session (construction and Professional Skills engr) Field trip/ mentoring session (humanitarian engr) Professional Skills Field trip/ mentoring session (project Professional Skills management) Field trip/ mentoring session (environmental Professional Skills engr) Academic competition at student conference Learning CommunityWithin the Department of Civil and Environmental Engineering, the EXCEL-SC program ispiloting a number of activities that will be expanded to larger groups of student participants onceprocedures are modified for wide-scale implementation including: professional
explored faculty adoption of research-based instructional strategies in the statics classroom. Currently, Dr. Cutler works as an assessment and instructional support specialist with the Leonhard Center for the Enhance- ment of Engineering Education at Penn State. She aids in the educational assessment of faculty-led projects while also supporting instructors to improve their teaching in the classroom. Previously, Dr. Cutler worked as the research specialist with the Rothwell Center for Teaching and Learning Excellence Worldwide Campus (CTLE - W) for Embry-Riddle Aeronautical University. c American Society for Engineering Education, 2016 Talking “faculty development” with engineering educators