Bilingual, Multilingual Multicultural EducationScie) Curriculum and Instruction Educational Administration and Supervision Educational, Instructional Media Design Educational Assessment, Evaluation Research International and Comparative Education Social and Philosophical Foundations of Education Special Education and Teaching Student Counseling and Personnel Services Teacher Education and Professional Development, Specific Levels and Methods Teacher Education and Professional Development, Specific Subject Areas Teaching English or French as a Second or Foreign Language Teaching Assistants, Aides Education, Other Political Science and
://ncses.nsf.gov/pubs/nsf19304/. [Accessed January 28, 2020].[2] D. S. Knight, S. Kim, and A-M. Núñez, “Assessing gender and racial/ethnic parity in computing fields: Evidence from the Integrated Postsecondary Education Data System. Paper accepted to the 2020 Annual Meeting of the American Educational Research Association, April, San Francisco, CA, 2019.[3] J. Vespa, D. M. Armstrong, and L. Medina, L, Demographic turning points for the United States: Population projections for 2020 to 2060, 2018. [Online]. Available, U.S. Census Bureau, https://www2.census.gov/library/publications/2018/demo/P25-1144.pdf. [Accessed January 28, 2020].[4] J. Kania, and M. Kramer, “Collective impact,” Stanford Social
Paper ID #29391The differences between individual project and team project settings inan interdisciplinary REU siteDr. Hua Li, Texas A&M University, Kingsville Dr. Hua Li, an Associate Professor in Mechanical and Industrial Engineering at Texas A&M University- Kingsville, is interested in sustainable manufacturing, renewable energy, sustainability assessment, and engineering education. Dr. Li has served as P.I. and Co-P.I. in different projects funded by NSF, DOEd, DHS, and HP, totaling more than 2.5 million dollars.Prof. Kai Jin, Texas A&M University - Kingsville Dr. Kai Jin is a Professor of Industrial
actions impede or facilitate student learning aboutrobotics and engineering practices?2. The Notion of Roles in Various Teaching and Learning EnvironmentsOur study was inspired by the research literature on informal learning [15-17]. In their review,Rogoff and her colleagues identified informal learning with several characteristics including:“being interactive and embedded in meaningful activity”; “assessment occurs in support ofcontributing to the activity, not for external purposes”; and “involves building on individual’sinitiative, interest, and choice” [16]. Prior researchers have emphasized that informal learning isnot simply about or being limited to the location of learning activity (e.g., out of the school),instead it is concerned with
Academy of Education / Spencer Postdoctoral Fellow and a 2018 NSF CAREER awardee in engineering education research. Dr. Svihla studies learning in authentic, real world conditions; this includes a two-strand research program fo- cused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students designing to learn.Luke Kachelmeier, University of New Mexico Luke Kachelmeier finished his bachelor’s degree from the University of New Mexico in May 2019. He completed a double major degree in applied math and psychology. His interests are in human factors
. Discovery Press, 2019.[2] L. W. Anderson et al., A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives, Abridged Edition, 1 edition. New York: Pearson, 2000.[3] D. Sayers, The Lost Tools of Learning, 1 edition. Fig, 2011.[4] C. S. Dweck, Mindset: The New Psychology of Success, Reprint, Updated edition. New York: Ballantine Books, 2007.[5] J. Dunnicliff and D. U. Deere, Eds., Judgment in Geotechnical Engineering: The Professional Legacy of Ralph B. Peck, 1 edition. New York: Wiley-Interscience, 1984.
method approach to understand and assess student’s knowledge, level ofunderstanding, and perception of the 4+1 programs through the administration of a survey to 486undergraduate students at the College of Engineering and Computing in a minority-servinginstitution, Florida International University. A binary logistic regression model was thendeveloped to determine the variables influencing the expected student enrollment in thecombined programs. From the obtained results of the undergraduate graduating student survey,25% of the students indicated their intention to apply for graduate studies post theirundergraduate and 58% maintained a GPA above 3.0, which reflects their readiness and possibleeligibility to apply for a 4+1 program prior to their
discourses that shape the taken-for-granted objectives that may reproducesocial injustices [9], and to construct a systems architecture of complex sociotechnicalinterdependencies [10] that enable the prediction of long-term impact. Sustainability philosophiesand life cycle analyses already challenge us to assess ‘true costs’ of technology.(4) Finally, there is a low sense of agency among some students. When they perceive adisagreement between their personal morality and the expectations of their employer, they believethey must conform to the latter. Instead of partaking in the deliberations at an organizational orpolicy level as valued experts, the instrumental view of engineers as ‘doers’ reinforces thediscouragement of critical thinking and
Assessment of a Successful Peer Mentor Program for Increasing Freshmen Retention Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana.(10) Green, M., Niemi, A., and Roudkovski, M., “Implementing an Industrial Mentoring Program to Enhance Student Motivation and Retention”, Proceedings of the 2012 American Society for Engineering Education Conference & Exposition, Annual Conference, 2012.(11) Strada Education Network and Gallup, “Mentoring College Students to Success,” 2018 Strada-Gallup Alumni Survey..
redesign, the final outcome showed that the device did show mixed success and was ableto finally perform within most of the prescribed specifications and consistently threw a 5lb.pumpkin 75 ft.References[1] S. Dodge, Mlive.com, 21 October, 2019[2] R. L. Rhoton, “Assessment of a Multi-Goal Mechanical Engineering Design/Fabrication Project Used as a Mission-Critical Exercise,” in Proceedings of the 2019 ASEE NCS Conference, Grand Rapids, MI, March 2019.[3] B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill and D. R. Krathwohl, axonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain., New York: David McKay Company, 1956.[4] L. W. Anderson and L. A. Sosniak, Bloom's taxonomy, vol. 36
Network) -https://www.3dprintingmedia.network/windows-os-frustum-generate-launches-to-further-open- up-generative-design-for-am/ Figure 5. Bracket designs generated by Fusion 360 Generative Design toolConclusionsNewly developed course, Computer Aided Engineering, helps to educate and train undergraduatestudents who learn how to design, analyze and optimize engineering systems using user-friendlycommercial software packages including Generative Design which revolutionizes the designapproach. While this paper shows the general structure and purpose of the course, it isanticipated to assess student learning outcomes using direct and indirect evaluations in the future.In particular, the impact of CAE on
, and environmental needs with technology-based solutions. Based on a successfulmodel first implemented at Purdue University in 1995, the Erik Jonsson School of Engineeringand Computer Science (the Jonsson School) at The University of Texas at Dallas implementedEPICS starting in Spring 2016 with the objective of meeting a critical educational need inengineering and computer science curriculum: develop the design and professional skills of thestudents to effectively solve problems.Through surveys, UTDesign EPICS students were asked at the beginning and end of the semesterto assess their capabilities in working on real-world problems and their understanding of the designprocess. We will discuss how the UTDesign EPICS class has helped students
knowledge and students should promote linking knowledge with practices, the connec-tion between general and specifics and, problem solutions skills (Davini 2008). Given the above,it is necessary to explore alternative methodologies and built up methods that reinforce the softskills related to engineering, in order to achieve a high-quality education (Fernandez March 2005).These skills could improve the students’ involvement on learning, as well as their social and ethicalcommitment, enabling them to assess not only what is learned, but also the ability and learningskills (Ruiz 2011). LEARNING BY CHALLENGES FROM ITS ORIGINS In contrast to more traditional methodologies, the challenge-based learning has emerged. It
abundant qualitative research looking at the obstacles faced by women and girlswho have an interest in and aptitude for engineering. These studies have provided insight intowhy women either did not complete their engineering majors or did not go on to engineeringcareers.The need to assess the effect of faculty on the number of women graduates is highlighted by thefact that a review of the literature on women engineering students by Waychal et al. found onlynine articles out of 69 dealt with faculty and only three of the nine addressed stereotypes orculture. [2]This paper uses a quantitative measure to show a possible cause of the stagnation of womenengineering graduates is the climate of universities and academic departments that have a
successful programs CWIT has used to enhancediversity and inclusion of underrepresented groups in the engineering and computingprofessions. These programs are designed to support the academic, leadership andprofessional development of undergraduate students and fall on two ends of aspectrum of support: pre-college programs and pre-professional programs. We willengage CoNECD attendees by sharing how these practices were motivated,developed, and implemented, as well as how we assess our impact and tips fortransferring these practices to other settings.The Big PictureVisionCWIT community members are prepared andempowered to be change agents in creatingtechnology workplaces that are diverse, equitable,and inclusive.CWIT MissionThe UMBC Center for Women
students could register for. The SI class appearing ontheir schedule and for a grade served to incentivize attendance, ensuring that a largernumber of students met the attendance benchmark. This semester, 22 studentcompleted our SI course. Outcomes for these students and data collected from thesemester will be evaluated and added to the presentation in January 2020. 1813 students identified as male, 9 as female. 1920S.-H. Lin, Y.-C. Huang, Jour. Of Psychoeducational Assessment, 36(7), 694, 2017. 21Students took the course’s post
.544 through Tools P4 .030 .038 .038 .000 .076 Scores (%) 88.9 88.9 85.2 81.5 100Table 2 summarizes the observations recorded per group and each group’s score on the finalproduct model. Scores were assessed by a TA using a rubric provided by the instructor. Valuesare provided as proportions out of the total timestamps recorded for each group. Table 3 providesthe breakdown of proportions of student roles observed in each group.DiscussionAlthough the groups had different approaches regarding use of supporting materials, such asreference guides and supplementary videos related to their product, all final scores were between80-100% with an average score of 88.9%. The
traditionalclassroom lecture. The training lecture included mandatory Occupational Safety and HealthAdministration (OSHA) 30-hour fall prevention/protection training topics and was deliveredusing a power point presentation in a classroom setting. Fifty-four students participated in thebaseline assessment who were junior or senior level (undergraduate) college students enrolled ina required Construction Safety class. Participants were asked to answer fifteen questions relatedto fall hazards and prevention/protection systems for the construction industry. The questionnairewas based on OSHA’s pre- and post-training questionnaire with four additional questions toinclude specific weight and height requirements for fall prevention training. All questions werein
knowledge necessary for monitoring, assessing, andsupporting groups’ real-time collaborative interactions [3], [4]. The act of managing thesepedagogical factors in real time is also known as orchestration [5]. There is an ongoing need tosupport TAs in identifying groups’ progress and orchestrating collaborative interactions; thus, itis necessary to present TAs with actionable information and recommendations to help themnavigate groups who may need collaborative support. A relatively new practice that addressesthis need is the implementation of orchestration technology, which often uses real-time data tofacilitate teaching practices while considering various factors within the classroom. Researchers have developed orchestration tools that
Narratives (level 3) N/A (will explore through the follow-up interview) Cultural influence Hypothesis 1 and Hypothesis 3MethodsFor the quantitative phase, we collected survey data using published instruments for measuringorganizational culture, moral values, and dispositional traits. For organizational culture, weutilized the Organizational Culture Assessment Instrument [6], which consists of 24 items withfour dimensions – clan, adhocracy, market, and hierarchy. For moral values, we utilized the MoralFoundations Questionnaire [8], which consists of 32 items with five dimensions - care, fairness,loyalty, authority, purity. And for dispositional traits, we utilized the Big Five PersonalityInventory [9
? How might students, faculty, and institutions best encourage and support the investments and political willpower necessary for inclusive access? Assessment in online education is challenging. Will multiple-choice tests that reward only a narrow skill-set prevail? How might assessment choices serve to limit learning or privilege some ways of thinking and knowledge over others? How can assessment of online education be improved to better encourage breadth and depth of learning? Student engagement, sense of belonging, and social needs are difficult to support through online education. How can these aspects be improved to limit disengagement and attrition that may disproportionately affect
Education at Washington State University, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical underpinnings of learning with computer-based multimedia re- sources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of instructional principles and assessments in STEM. He is currently a Senior Associate Editor of the Journal of Engineering Education.Mr. Adurangba Victor Oje, University of Georgia Victor Oje is a doctoral student in the College of Engineering at the University of Georgia focusing on engineering education
pandemic are applied inthe future to ensure high quality teaching, learning and assessment [5]. Virtual and simulator-basedlaboratories and experimentation can serve a valuable role in developing practical skills andbuilding familiarity with operating procedures, in a cost-effective manner that supports distance-learning. Leading educational institutions have appreciated the potential of remotely accessiblereal-world laboratory experiments well before the COVID-19 pandemic [5,6]. In this study, we will present two of the ongoing pedagogical developments for ourengineering students regarding virtual materials science laboratories: i) Virtual Reality apps andii) Scientific Emulators. Note that many educational simulations and science
practices employed during Fall 2020 werefurther refined in preparation for Spring 2021 for EV350 and are highlighted in Table 1. Table 1. Course Modifications for Spring 2020 and Spring 2021 Prerecorded Lectures Recording of In-Class Discussions Instructor Point System Flipped and HyFlex Classroom Set Up Implementing a Variety of Technologies Assessment IntegrityMethods, Results and Discussion This paper discusses several methods to improve both student engagement and instructorefficiencies in environmental engineering education that worked well in EV350. Although bestpractices are derived from numerous iterations and longitudinal
and give the viewer a quick sense of where these students go, whether it is graduationwith an engineering degree, retention at our university in another major, or departure from theuniversity. This graphical method applied to student flow allows for the rapid understanding of agreat deal of data. It has proved a valuable tool for the assessment of retention and enrollmentmanagement measures year by year.IntroductionAn increase in engineering enrollment at Baylor University (BU) by more than 110% from fall2001 to fall 2010 taxed both our faculty and our facilities and prompted the need for enrollmentmanagement. Risk-factor and logistic regression analyses led to the implementation of a B orbetter requirement for the freshmen engineering course
Agenda• Overview• How an Institute Works• Program Results• Developments• NSTC AnnouncementManufacturing USA Annual Report Following Congressional reporting, now publicly released December 1 2017 • Review of program, network and performance measures to national objectives • Detailed profiles of each institute • Includes results of / responses to the external assessments completed in 2017 Free download at www.ManufacturingUSA.com Measuring Performance – Top Level Metrics Institute Metric Category Specific Metric Units of measure Number of partner
, June). Assessing a Freshman Engineering Course,Presented at 2005 ASEE Annual Conference and Exposition, Portland, OR.Pieronek, C., et.al., (2004, June). A Demographic Characterization of First-Year Engineering Students,Presented at 2004 ASEE Annual Conference and Exposition, Salt Lake City, UT.Soysal, O., Soysal, H., (2003, June). Meeting ABET-2002 Criteria Through Introductory Courses in aCollaborative Electrical Engineering Program, Presented at ASEE/WFEO International Colloquium,Nashville, TN.JAMES E. HERTELJames E. Hertel is Professor of Practice at Michigan Technological University. He joined the faculty at MTU in2001. For the 25 years prior, he practiced engineering and management in the high speed machinery industry. Mr.Hertel has
, appropriate nonparametric statistical tests were used to analyze the survey results.For all statistical tests, a P≤0.05 was considered statistically significant.The Mann-Whitney rank sum test was used to determine differences between two differentgroups, such as students vs. faculty or M.S. students vs. Ph.D. students. This test is analogous toa t-test for parametric data. The dependent variable was the response to the survey question.The Wilcoxon signed rank test was used to assess differences between students’ perceptions oftheir abilities before beginning graduate school and currently. This test is analogous to a pairedt-test.Faculty ResponsesFigure 1 shows the most important factors for student success in order of importance. The errorbars
Director ofDining Services, and then following dinner, a presentation was made by the Director ofCareer Services on tips for business etiquette. Students were assessed a fee of $15 for thedinner.ResourcesThere are several resources that have been used for the course. A textbook has not beenrequired. Among the resources used have been:American Council of Engineering Companies (www.acec.org)American Society of Civil Engineers (www.asce.org) “Standards of Professional Conduct” “How to Work Effectively with Consulting Engineers”, ASCE Manual No. 45, 2003 “Engineering Your Future”, Stuart G. Walesh, ASCE Press, 2000Ethics case studies taken from ASCE News and other sourcesInstitute of Transportation Engineers (www.ite.org
– process mapping topaint than low viscosity because of his different method of pinpoint weaknesses that cause variabilityapplication. In a narrower perception, Quality is consistently and recognize the area of control.meeting standards appropriate for specific product or service.5 In achieving consistent quality, several tools areapplied to the study of eliminating defects. One important toolis data assessment using Statistical Quality Control as definedbelow6:2.1 Flowchart Diagram of the stages and flow of a certain process. Itis presented using different symbols, i.e. oval for start and end,diamond for the stage that needs decision, and rectangles. It isdrawn from top