into their reflections on a scale of 1-5 with five being the mosteffort. We compared the self-rated effort put into these essays for the research ethics, cancerpatient, and graduate school essays. For the ethics essay in particular, we wanted to evaluate if thecancer patient seminar improved the sophistication or depth of students’ response to the question,“Describe a situation in which unconscious bias may have influenced your assessment orconclusion and what measures were taken or should have been taken to avoid these biases.” Theseessays were analyzed blindly by three independent researchers on 1) the level of detail andspecificity in the description of the situation, 2) quality of analysis on the role of or the cause ofbias, 3) level of
interview. In the course of theinterviews, participants were asked to rate their risk tolerance and their interest in pursuing a startupon ten-point scale. The interviews were assessed (see Coding Book, Appendix A) through recordingof categorical and numerical responses for: • Immigration generation • Parents’ education • Employment during college 4 • Switch of major • Risk tolerance • Startup interestand through thematic content analysis [14] for: • Family influence on major • Career plans • Career certainty • Reasons for pursuing or not pursuing a startupThe students in the entrepreneurially oriented engineering major and the students in the
developed to assess student attitudes towards their personal course progress. Thefirst portion was given in the week preceding the first midterm. Students who consented toparticipation in the study received a short survey which asked them to rate their ability tounderstand and complete Statics problems. The Likert Scale was used for the prompts shown inTable 3. Student responses were converted to a numerical value by assigning 1 forUnsatisfactory to 5 for Excellent. In addition, they were asked to rate their level of confidence inunderstanding what a question is asking on homework and exam problems on a scale of 0-100.The self-evaluation responses showed that on average, students were 73.4% confident in theirunderstanding, with a standard deviation
. Figure 1. Pedagogy activities integrated to increase student success. 1) Cloud Career Pathway. Through the AWS Educate portal, students can explore careerpathways with cloud skills relevant to in-demand jobs such as Data Scientist, ApplicationDeveloper, and Machine Learning Scientists. This interactive visualization tool aids for careereducation. 2) Industry Education Curriculum. Accredited and certified faculty delivered the contentusing the lecture slide decks with notes from the AWS Academy portal and administer the onlineknowledge checks to assess comprehension. Students also have access to lecture videos andtranscripts. 3) Problem-Based Labs. AWS Academy provides guided and problem-based lab materialsthrough the Vocareum platform for
emphasis on anevaluation framework that will help us tease apart the contributions of the different aspects of thecourse to student learning and outcomes. The evaluation of the pilot will achieve two fundamentalgoals. First, we will assess the extent to which the clinical immersion program may influencestudents’ development of design process and problem-solving skills, and identify features of theprogram that contributed to their learning. Second, we will gather formative and developmentalevaluation data on the program itself from the student participants, clinical mentors, and othermembers of the clinical immersion team. Such an understanding will be critical to identify efficientapproaches for future offerings to make clinical experiences
. They should share the work load, and share the credit. Thus promoting each others’ learning. Accountability- Each student’s role and performance is to be assessed, and the results are those of the group (and for the group). Keeping track of the contribution and knowledge gained by each member could be monitored, as well, by either testing each and every student in the group, or by randomly selecting a group member (or members) to be tested, and thus proxy for the group. Sharing known skills- Students who possess certain knowledge or skills (examples: computer skills, laboratory skills, data reduction skills, presentation skills) should be willing
Paper ID #34546A Grounded Theory Analysis of COVID-19 Information and ResourcesRelayed Through University Webpages: Implications for a More InclusiveCommunityDr. Sreyoshi Bhaduri, McGraw Hill Dr. Sreyoshi Bhaduri is an Engineering Educator and People Researcher. She currently heads Global People Research and Analytics at McGraw Hill, where she leads research leveraging employee data to generate data-driven insights for decisions impacting organizational Culture and Talent. Her research interests include assessing the impact and effectiveness of inclusion initiatives as well as employing in- novative, ethical and inclusive
University. Her research focuses on the development, implementation, and assessment of modeling and design activities with authentic engineering contexts. She also focuses on the implementation of learning objective-based grading and reflection.Grace Panther, University of Nebraska, Lincoln Grace Panther is an Assistant Professor at the University of Nebraska Lincoln. She has experience con- ducting workshops at engineering education conferences and has been a guest editor for a special issue of European Journal of Engineering Education on inclusive learning environments. Her research areas include spatial visualization, material development, faculty discourses on gender, and defining knowledge domains of students and
projectprototype.Methodology and Experimental SetupThe open-ended design projects were deployed in four Introduction to Engineering sections ofabout 40 students each in the fall semester of 2019. All four sections were taught by the sameinstructor. All course materials and assessment were kept the same for all sections except thateach section was given a different project theme. The goal is to see if the restrictions on scopeand/or materials would have any impact on student motivation. There were 140 students in totalwho consented to participate in the research study.To test different open-ended design projects with varying degree of autonomy, different projectthemes were created. The common requirement for all projects was to “design an automatedsolution using
elucidate the relationship. In addition to thecurricular support of the student team, naval S&T faculty contribute through faculty advising ofclub operations, giving presentations on topics of relevance to the team, and participating incomprehensive design reviews.Student Perspectives on the Curriculum, Student Organization, and Navy-related CareersA survey was conducted to assess student interest in the Naval Science and Technologycertificate program and careers in support of the Navy. Participants were students enrolled in theMechanical Engineering undergraduate seminars in the sophomore and junior years. The surveyincluded questions regarding interest in the Navy and naval science careers, extra-curricularactivities, family involvement in
author and is an experiencegreatly enjoyed by the students. To distribute the clues, the instructor has involved otherfaculty/staff in the department, as well as administrative leaders like the Department Chair andDean. The instructor has noted that many students are intimidated to receive their clue from theDepartment Chair or Dean, but with this activity, the students have the opportunity to interact withthem in a fun, low-threat context. The instructor ultimately collects the completed clues for gradingand assessment. This paper will provide instructions on developing the activity and modifying itfrom semester to semester, and will present qualitative feedback and the available quantitativedata.MotivationExam reviews are invaluable in
, Neisser (1967) proposed a theory where analysis ofthe visual world takes place in two stages: (1) the pre-attentive stage that segments the world into separateobjects; and (2) the focal attention stage that focuses on a particular object for more details.Discrimination-based theories consider the limit on the numbers of discriminators that can be used. As anillustrative example, Allport (1971; 1980) proposed a “system of analyzers” to decompose attributes ofstimuli. Based on this suggestion, humans are limited in dealing with several objects by the difficulty ofhandling multiple analyzers simultaneously. Finally, space-based theories suggest a limit on the spatialarea from which information can be accessed and assessed. As an illustrative example
-tion by the instructor are the resources currently in use for inferring student engagement.By deploying the sensory portion of the EMS, facial expressions, body language and move-ments, and other biometric data are also collected in real time. The EMS is then trained todetermine behavioral and emotional engagement and to further infer cognitive engagementfrom these. The goal is to use cognitive engagement as a direct metric for student learningand indicate effective instruction.Part of the data collected will be from assignments, such as homework and exam scores,to represent academic performance, i.e., assignment data. Academic performance is thesummative assessment of learning, and can be used as an indicator of cognitive engagement.A student
in Appendix B. The questions weredesigned to assess higher levels of understanding (analysis, synthesis, evaluation) withoutspecifically testing any concepts that would only have been addressed in one treatment groupover another. The questions were intentionally made to be open-ended and relatively challengingfor most students. The authors hoped to avoid clipping of student performance at the high end,which would have not distinguished between levels of understanding.The tests were graded by two of the researchers. The pre- and post-tutorial quiz answers werefirst graded individually and then a comparison was made between a student’s response to eachparticular question before and after their respective tutorials and categorized according to
a leading expert in graduate engineering attrition and engineering Master’s-level education. [12] My academic career goal is to develop my expertise in assessment and measurement in engineering education using unconventional mixed-methods approaches. [13] My career goal is to bring [liberative pedagogies] to engineering education and encourage their widespread use in curriculum development. Moreover, I seek to be part of a paradigm shift that these pedagogies demand, repositioning concerns about underrepresented minorities and white women from a superficial measure of equity as a simple headcount, to a question of basic justice, wherein the genuine engagement of women and other underrepresented students is included in the core educational
before and after the airquality teaching module,respectively. These surveys collect self-reported data on teachers’ expectations for hosting themodule, along with their appraisal of student’s analytical abilities, experience with data analysis,hypothesis generation, visualization, and overall air quality awareness. Post-surveys are issued 1to 2 weeks after a site visit to gauge the teaching module’s effectiveness relative to the teacher’sexpectations. These surveys also assess the instructor’s perception of students’ understandingand engagement of the exercise (Figure 6).4 Results and discussionTo date, our outreach team has visited 8 schools and 22 classes, and has reached over 540students. Table 2 outlines each of the school and classroom
Carberry is an associate professor at Arizona State University in the Fulton Schools of Engi- neering Polytechnic School. He earned a B.S. in Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. His research investigates the development of new classroom innovations, assessment tech- niques, and identifying new ways to empirically understand how engineering students and educators learn. He is currently the chair of the Research in Engineering Education Network (REEN) and an associate ed- itor for the Journal of Engineering Educaiton (JEE). Prior to joining ASU he was a graduate student research assistant at
instructors, there are severalsteps taken to make sections consistent, from material presented to evaluation of students asmentioned in the Introduction. There is an overall course coordinator and there are weeklymeetings with all instructors. A common syllabus is used for each section with minor changesmade for course instructor and classroom specifics. Learning outcomes are listed in the syllabusfor students to view. The students’ overall grade is based on the assessment of these outcomes.The instructors and students are given a detailed course topic outline at the beginning of thesemester which shows what topics and what sections of the book are covered weekly. Theinstructors are provided a master list of homework problems consisting of 25 sets of
. Mcmaster. “Who Studies STEM Subjects at a Level and Degree in England? AnInvestigation into the Intersections between Students’ Family Background, Gender and Ethnicityin Determining Choice.” British Educational Research Journal, vol. 43, no. 3, 2017[25] X. Wang. “Why Students Choose STEM Majors: Motivation, High School Learning, andPostsecondary Context of Support.” American Educational Research Journal, vol. 50, no. 5,2013.[26] G. Aswad, G. Vidican, and D. Samulewicz. “Assessing the Impact of Socio-EconomicInequities on College Enrolment: Emerging Differences in the United Arab Emirates.” Journal ofHigher Education Policy and Management, vol. 33, no. 5, 2011.[27] J. Appianing and R, Van Eck. “Development and Validation of the Value-ExpectancySTEM
multiple identity dimensions. Her research interests include diversity and inclusion in STEM, intersectionality, teamwork and communication skills, assessment, and identity construction. Her teaching philosophy focuses on student centered approaches such as culturally relevant pedagogy. Dr. Cross’ complimentary professional activities promote inclusive excellence through collaboration.Prof. Karin Jensen, University of Illinois at Urbana - Champaign Karin Jensen, Ph.D. is a Teaching Assistant Professor in bioengineering at the University of Illinois at Urbana-Champaign. Her research interests include student mental health and wellness, engineering stu- dent career pathways, and engagement of engineering faculty in
factors that enableongoing success and advice on overcoming inevitable challenges will be provided. Topics willinclude university support, leadership, funding, faculty engagement, community networking,student recruitment, project selection criteria, and student assessment. The collaborative studentproject work has benefited students by increasing both their problem solving and communicationskills. One of the overarching issues is the continuous need for a catalyst in order to initiate theinterdisciplinary work each term. In the future, the stimulus for these projects needs to be bothsustainable and somewhat automatic if real growth is to take hold. The consensus of thoseinvolved feel that the Launch Lab organization is an important and valuable
from Morgan State University. Her research interests involve providing a sustainable environment for people with a mental health disorder, and traffic safety management.Mrs. Ida Mougang Yanou N, Morgan State University • University of Yaound´e I Cameroon: BS Degree in Chemistry, 2009 • University of Yaound´e I Cameroon: MS Degree in Organic Chemistry, 2011 • University of Dschang Cameroon: MS Degree in Environmental Impact Assessment, 2015. • Responsible Conduct of Research Course Certificate (Social and Behavioral Research) at CITI program, 2019. • Morgan State University USA: Doctorate student in Environmental Engineering enrolled since Spring 2019Dr. Niangoran Koissi, Morgan State University EDUCATION
academicsettings. The results obtained by surveying undergraduate and graduate women, who havesuccessfully passed many filters towards achieving a degree in engineering, may help researchersand policymakers create impactful approaches concerning gender stereotyping and bias in academicand workplace environments.MethodsResearch questionThe following research question was used to conduct the research study: • What are the strategies for dealing with gender stereotype or bias used by female undergraduate and graduate engineering students?Data collectionThe data were collected using an online survey, powered by Qualtrics, that was filled outanonymously by the participants. The assessment instrument was comprised of 14 multiple-choicequestions and one
. Strimel, Ph.D., is an assistant professor of Technology Leadership and Innovation and coordi- nator of the Design & Innovation Minor at Purdue University. Dr. Strimel conducts research on design pedagogy, cognition, and assessment as well as the preparation of K-12 engineering teachers. American c Society for Engineering Education, 2021 Transforming Undergraduate Learning in the Pursuit of Innovation: Transdisciplinary Coursework and its Influence on Entrepreneurial Thinking (Work in Progress)IntroductionUniversities have long played a crucial role in shaping society’s responses to changingtechnologies, economies, and living environments
videos. Somevideos were really professional. Instructor was impressed by their performance that decided toshare some videos during the class sessions, which triggered more students to produce goodvideos. Demonstrations sharing really has a positive impact on their learning, as they want to doa good project in order to “show off”.An example can be seen herehttps://www.youtube.com/watch?v=BwPeGdc-L0c&feature=youtu.be.4.3 OutcomesThe most important outcome of this lab class is that students had fun learning. It is believed thathaving fun can make the learning lasts longer.Grade assessment of this lab is based on the following factors: Quizzes (30%), LabDemonstration (50%), Reports (10%) and Final project (10%). As shown in the following figure
build, experiment, test, and observe scientific phenomena in a collaborativeenvironment. While it is true that distant labs allow students hands-on experience with circuitdesign and measurements using portable lab-kits, they usually only prove useful for introductoryDC circuits laboratory courses. Advanced experiments that require for example, measuringphase-shifts between sinusoidal signals, obtaining Lissajous patterns, obtaining IV characteristicsof semiconductor device components using XY mode of the oscilloscope etc. cannot beperformed effectively with inexpensive general purpose at-home portable lab-kits.Cal Poly’s College of Engineering collected data from its students assessing their interest inenrolling in traditional face-to-face
. In fact, when they start taking itoutside on their own, you will know that they are experiencing a learning technique dubbedchallenge-based instruction; [6] they can’t lay it down. Not every student will arrive at this level,and those that do may not rise to this level with every topic; but, when they do, it’s exciting.Students get there by facing the math head-on. They overcome the stigma that“it’s hard” and realize that it just takes preparation and a solid foundation to move ahead.Within both engineering and mathematics, critical thinking and self-assessment skills need to behoned rather than assumed that they are already developed. Peter C. Brown worded theimportance of self-assessment nicely: “To become more competent, or even expert
Higher Education, 26(3), 307-322.[7] A. C. Verdell, J. M. Keith, J. Warnock, V. White, “Best Practices for Underrepresented Minority Students in an Engineering Summer Bridge Program,”ASEE Annual Conference & Exposition, 2016.[8] M. Estrada et al. “Improving Underrepresented Minority Student Persistence in STEM”. CBE Life Sci Educ. vol. 15, np. 3, es5, 2016, doi:10.1187/cbe.16-01-0038.[9] National Research Council (US) Committee for the Assessment of NIH Minority Research Training Programs, Assessment of NIH Minority Research and Training Programs: Phase 3. Washington (DC): National Academies Press (US); 2005. [E-book] Available: https://www.ncbi.nlm.nih.gov/books/NBK22669/. doi:10.17226/11329.[10] A
quality of life andsocial conditions, and economic development (Fuchs and Mihelcic, 2006).This new field requires skills and capabilities across multiple disciplines beyond the traditionalengineering education (Mihelcic et al., 2003, Cruickshank and Fenner, 2007). In order to fill thiscapacity, engineers should be trained not only in technical skills, but also in appropriatetechnologies, knowledge transfer and education processes, culture and community assessment,policy and governance, economic processes and valuation, environmental science, and ethics andsocial justice. Several of our own studies demonstrate how framing engineering educationaround a developing world experience is a positive experience for student learning (e.g.,Mihelcic and
ASEE-NMWSC2013-0016 A First-Year Drilling, Tapping and Thread Stripping ExerciseThomas Shepard, Ph.D., University of St. Thomas, thomas.shepard@stthomas.eduMichaela Andrews, University of St. Thomas, andr8926@stthomas.eduCole Harris, University of St. Thomas, harr3489@stthomas.eduAbstractThis paper discusses the development, implementation and assessment of a drilling, tapping andthread stripping exercise used in an introduction to engineering course. The exercise wasdesigned to be a time efficient way to improve hands-on skills that exposed students to variousmechanical engineering concepts such as moments, yield strength, safety factor and