completed his undergraduate work at the University of Tulsa, also in Mechanical Engineering. He currently teaches first-year engineering courses as well as various courses in Mechanical Engineering, primarily in the mechanics area. His pedagogical research areas include standards-based assessment and curriculum design, including the incorporation of entrepreneurial thinking into the engineering curriculum and especially as pertains to First-Year Engineering.Dr. Ziad Youssfi, Ohio Northern University My current research focuses on image processing, GPU, and optimizing computer architecture to reduce chip power consumption. Before joining Ohio Northern University in 2013, I taught digital circuit design for two semesters
. Military Academy Dr. Brock E. Barry, P.E. is Professor of Engineering Education in the Department of Civil & Mechanical Engineering at the United States Military Academy, West Point, New York. Dr. Barry holds a Bachelor of Science degree from Rochester Institute of Technology, a Master of Science degree from University of Colorado at Boulder, and a PhD from Purdue University. Prior to pursuing a career in academics, Dr. Barry spent 10-years as a senior geotechnical engineer and project manager on projects through- out the United States. He is a licensed professional engineer in multiple states. Dr. Barry’s areas of research include assessment of professional ethics, teaching and learning in engineering
degree program.The programs described in this paper have existed in different forms since 2011, beginning with a pilotprogram involving four participants and at one time including as many as 33. To measure the lastingeffects of these programs, we surveyed the participants and tracked their academic progress over severalyears. Results of these assessment efforts suggest that the program supported students’ success at BoiseState University through the development of lasting relationships with peers, faculty, and staff, andoverall was a positive experience with lasting effects on the participants.In addition to the evolution and outcomes of this program, we also describe how the funding model forthis program has changed over the years, beginning
(Bottom) 3D Printing and Microcontrollers sections. Student feedback was collected formally through a midway questionnaire, an individual reflection assignment near the end of course, and the University of Minnesota standard student evaluation of teaching survey. The overall student impression of the course was positive from these assessments. On the midway questionnaire, students gave feedback on the course, after the bulk of the individual learning activities were complete and just as the team projects were getting off the ground. The data in Figure 6 shows a very positive response for all items. In the second to last week of the course, students completed an individual reflection in which they answer specific questions
to agreements with the original content developer, this new module onpresentations was available to alumni and was even adapted by some facilitators for use at theirworkplace or to benefit local non-profit organizations. Like all Engineering Futures sessions,these trainings are offered at little or no cost to participants and Tau Beta Pi covers travelexpenses for volunteer facilitators, who donate their time to make these trainings available toengineering students and professionals.Identifying ChallengesIn 2015, three decades after the EF program emerged from chapter operations training programs,a new Director of Engineering Futures (DEF) was appointed by the Association. The new DEFwas charged with assessing the current status of the EF
characterize STEM careers as unworthy of literate andcreative individuals [2]. Does she have a good point? During the last two decades substantial efforthas been expended towards reconciling developing students with what can be broadly defined asSTEM identities. Considerable recent research broadly on STEM identities [e.g. 3-21], includingseparate considerations of science, engineering and math identities, has focused on the identitiesof groups and intersectionalities underrepresented in STEM disciplines and careers. But, someresearch also suggests that merely inserting a STEM label, e.g. science or scientist, into adiscussion unleashes implicit biases of gender, race and ethnicity in middle school children [14].Surveys to assess self-efficacy and
from the University of Waterloo. His research areas are in cryptography, digital watermarking, and combinatorics. He is the PI for the NSF IUSE grant (NSF-DUE 1430398) for STEM retention, and the co-PI for the NSF Federal Cyber Service grant (NSF-DUE 1241636) to create models for information assurance education and outreach. He is also the Project Director for Department of Education HSI-STEM Award P031C160080 (A Guided Pathway Solution to STEM Degree Completion), and two MSEIP awards. He has mentored various undergraduate student researchers as a faculty mentor for the LSAMP and McNair Scholars Program. He has extensive experience in curriculum assessment, undergraduate curriculum development, and student
Engineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutionizing Engineering Departments project. She was selected as a National Academy of Education / Spencer Post- doctoral 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 focused 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
Paper ID #26262Exploring the Learning Outcomes of International Engineering Students fromChinese UniversitiesMiss Guoyang ZhangJiabin Zhu, Shanghai Jiao Tong University Jiabin Zhu is an Associate Professor at the Graduate School of Education at Shanghai Jiao Tong Uni- versity. Her primary research interests relate to the assessment of teaching and learning in engineering, cognitive development of graduate and undergraduate students, and global engineering. She received her Ph.D. from the School of Engineering Education, Purdue University in 2013.Mr. Yang Da Wei c American Society for Engineering
include papers discussing software tools to help students draw FBDs,papers on the assessment of FBDs, and papers on techniques to help students draw FBDs.Tools that have been developed to help students draw FBDs include an app [1], and animatedGIFs to guide students in a step-by-step procedure for drawing FBDs [2]. Free-body diagramerrors that have been reported include ones that demonstrate a misunderstanding of the physicssuch as forces drawn at the centroid [3], incorrect or missing friction forces [3, 4, 5], andincorrect direction of the weight [4, 5]. Other errors in drawing FBDs include missing arrows[6], missing axes [4], and misaligned or unlabeled vectors [7]. Davis and Lorimer [8] developeda rubric for assessing FBDs in six separate
to spark interest in a wide variety of engineering pathways. The paper discusses thetopics covered by the workshops, the scaffolding of the activities, and the assessment conductedon how the bio-inspired robotics activities may influence veterans’ attitude towards advancedmanufacturing careers.IntroductionFor the last few decades, some technical fields, especially the area of advanced manufacturing,experienced a gap related to the hiring of highly skilled technical personnel, in particularengineers who have high technical skills as well as hands on practical experiences. As a result,various efforts across the country are focusing on guiding veterans towards STEM careers, sincethey have practical technical skills developed during their
Engagement) team in Academic Technologies at the University of Miami, Coral Gables. Gemma partners with faculty members, academic units, and other university stakeholders to create and assess innovative, effective, and meaningful learning experiences, through learner-centered pedagogies, differentiated teach- ing, and emerging educational technologies. She has facilitated faculty development initiatives, communi- ties and events in online course design, formative assessment, narrative techniques and 3-D technologies in undergraduate education. Since Fall 2016, in partnership with the College of Engineering and the LIFE team, Gemma designed and supported faculty development workshops in active learning pedago- gies
. Experiences that utilize 3DP haveincluded teaching iterative design using turbine blades [2], demonstrating mechanical propertiestesting [3], assessing performance variability in mechanical properties [6], and introducingASTM standardized testing protocols [3], [4]. Furthermore, the introduction of 3DP technologiesin academic environments has allowed for educators to demonstrate how 3DP can be one part ina larger manufacturing design process [5] and highlighting the importance of waste,sustainability, and materials recycling [7], [8]. Complementary to this rise in 3DP inclusion inthe engineering education space has been the further incorporation of CAD programs to teachiterative design [2], and simulation analysis software (either standalone or
. c American Society for Engineering Education, 2019 Designing Boosters and Recognition to Promote a Growth Mindset in Programming Activities April 29, 2019AbstractWhen one first learns to program, feedback on early assignments can easily induce a fixedmindset—where one believes programming is a fixed ability you either have or you don’t.However, possessing a fixed mindset perspective has negative consequences for learning. Thealternative is to foster a growth mindset, where one believes ability can be improved throughpractice, effort, and hard work. However, automated grading tools used on programmingassignments currently focus on objectively assessing functional
theories and applications, thinking and problem solving, interactive learning, models of motivation, assessment and classroom management, and field based research methods. He has expertise in a range of research methods and analytical techniques, including structural equation modeling, hierarchical linear modeling, longitudinal growth curve modeling, measurement and assessment of latent constructs, thematic analysis, and network analysis. c American Society for Engineering Education, 2016A Multivariate Examination of Active and Interactive Learning and StudentEngagement in Post-Secondary Engineering Energy Science Classrooms: The ‘Why’ of Instructional Strategy UseAbstractRecent
effective.Dr. Yawen Li, Lawrence Technological University Yawen Li is an associate professor in the biomedical engineering program at Lawrence Technological University. Her teaching portfolio include courses such as Biomaterials, Tissue Engineering, Tissue En- gineering Lab, MEMS, MEMS Lab, and Engineering Materials. Serving as the university assessment committee representative since 2011, she coordinates various aspects of the assessment-related activities within the program.Dr. Selin Arslan, Lawrence Technological UniversityDr. Changgong Zhou, Lawrence Technological UniversityDr. Hsiao-Ping H. Moore, Lawrenece Technological University Ph.D. Chemistry, Caltech, Pasadena, USA B.S. Chemistry, National Taiwan University, Taipei
exam scores, research by Lass, Morzuch, & Rogers2 concludedthat online homework was associated with improved exam performance. Capaldi & Berg3developed and studied use of an online learning system for students including online homeworkproblems. The analysis showed that students using the online system achieved significantlygreater learning as demonstrated on exams. Knight, Nicholls, & Componation4 discussed theefficiency of utilizing online homework, observing that assessments created in one class sectioncould be readily imported to use in other sections. The automated grading and score recordinggreatly reduced the time demands on instructors and supported increased class sizes. Theyconcluded exam performance could be predicted
write. All teams were able todesign a functioning arm that could perform the task and develop a program to move the arm.The only assessment tool that was used was a survey the students filled at the end of the camp. Itwas designed to assess the camp itself and the effectiveness of the staff and not for assessing therobotic system. Twenty two participants completed the survey. Eighteen of them indicated theirfavorite part of the camp was building the robot. Sixteen students indicated that their leastfavorite part was programming the arm, one student indicated it was finding the D-H parameters,and 2 indicated their least favorite part was starting over with a new design once their old designwas proved ineffective. We believe the frustration with
parallel. This created opportunities for students to discuss how to planand execute the measurements, and what results to anticipate.DiscussionThe desktop heat transfer apparatus was tested for two different offerings of a junior-level heattransfer class for Mechanical Engineering students. We did not plan sufficiently ahead to obtainIRB approval that would allow us to report on assessment data collected during the exercise. Weconsider our first trials with this apparatus to be shakedown tests. We now know enough aboutthe performance of the apparatus and how students experience the exercise that we are preparedto design a structured assessment of student learning. Due to scheduling constraints, that outcomemeasurement will be delayed until the
assessment; however, we speculate this wasbecause our project targeted students who had characteristics that were not entirely typical ofthose sought by managers of other scholarship programs. There was no minimum grade pointaverage required for initial selection; as long as students met basic requirements (describedbelow), they had a chance of being selected for an award. In years two and three of the award,the engineering recruiter distributed flyers to students he met during visits to individual schoolsand college fairs. Emphasis was placed on local school districts with large minority enrollments.In order to qualify for the scholarship, students were required to (1) be citizens of the UnitedStates, nationals of the United States (as defined in
Preparedness Index, had internationalexperiences in engineering and international travel in their personal lives. Mohtar and Dare 6 alsodescribed how an immersive experience that weaves together an international exchange withservice learning to address grand challenges positively influences students’ global competencies.For shorter-term experiences, like the program under investigation in this paper, Kamdar andLewis7 conducted three types of assessments for a three-week trip consisting mainly of site visitsthat align with the participants’ area of study. Those assessments of long-term goals, short-termgoals, and using a pre/post cultural intelligence survey found that exposure alone to internationalsettings was not enough to meet their program goals
University Mark E. Yerger is the Chief Technology Officer at Bucknell University where he has been a member of the merged Library and Information Technology (L&IT) division since 2009. He oversees the systems and processes that support the seamless flow of information across Bucknell including enterprise technol- ogy operations, application development, business intelligence, systems integration, telecommunications, and networking. In addition, he is also responsible for planning, assessment, project management, and budgeting across L&IT. Mr. Yerger holds an MBA and a Project Management Professional (PMP) certifi- cation and was privileged to join in the acceptance of a 2015 CIO Impact award on behalf of his team
also a 2000 alumna of Tuskegee University, where she obtained her B.Sc. degree in Aerospace Science Engineering. Dr. Bryan gained industrial experience at John Deere where she worked as a Design Engineer from 2000 - 2002. .She has also held academic positions at Rose-Hulman Institute of Technology and the University of the West Indies, St. Augustine Campus.Dr. John Andrew Lund, Western Washington University Dr. Lund’s research involves the development of novel control systems, sensing and measurement tools for unique environments. His previous and ongoing research efforts include the development of a high- resolution wireless instrumented mouthguard for the assessment of severity of head impacts, development of
normality.Confirmatory factor analysis, like exploratory, assumes multivariate normally distributed items.Because the estimation is robust, some deviations from normality are acceptable, but thisassumption should not be severely violated (absolute value of skewness of 2.0 or higher andkurtosis of 7.0 or higher60,61). Finally, the internal consistency of the items was assessed usingCronbach’s alpha with coefficients of 0.70 considered acceptable for newly developed scaleswhile values of 0.80 or higher are preferred and indicate that the items may be usedinterchangeably69.Unlike exploratory factor analysis which is a data-driven approach, in confirmatory factoranalysis, the structure is specified by the researcher. Confirmatory factor analysis allows
chamber, vocal, and stage settings, his music traverses wide-ranging topics such as Sumerian legends, nuclear war, and the American Dream. He has been named a national finalist in composing competitions sponsored by SCI/ASCAP (twice) and the National Opera Association (one of three works selected). Dr. Gullings is committed to improving the quality and efficiency of undergraduate music theory and com- position education through classroom innovation, collaboration, and scholarship. In addition to teaching in the core music theory sequence, he maintains a growing interest in developing, practicing, and sharing efficient assessment methods. Dr. Gullings has taught at The University of Texas at Tyler since 2011. He lives
standardized assessments which measure student progress(apart from AP CS). Bandura notes that self-efficacy can by improved through enactiveattainment, vicarious experiences, verbal persuasion, and psychological state1. By using PBLwe enable the students to achieve tasks on their own without direct instruction. This relates toenactive attainment (individual mastery of skills), although we have to structure problemscarefully so that they are not too easy (students will get bored) or too difficult (increasedanxiety). This is also referred to as the zones of proximal flow and development25. Verbalpersuasion occurs in our intervention through IL. Though IL is indirectly guiding the student(asking the right questions), we are able to convince students that
configuration, (d)validation of the model, (e) discussion of the solution and results, and (f) conclusions andrecommendations. The 35 final projects were reviewed and graded by the instructor via the rubric andthen submitted to our research team for data analysis and discussion. This study employs three main datasources: students’ projects submissions, student project scores using the assessment rubric, and theinstructor’s comments on the scoring for each project.Role of the ResearchersDuring the design stage, the instructor and the research team worked together throughout theimplementation of the project and the data collection. First, one senior researcher met with the courseinstructor early in the semester to identify the modeling and simulation
in promoting the retention of students at greater risk for college attrition AfricanAmerican students and students with low GPAs8.Another paper discussed the use of orientation courses to increase retention. This study was donethrough a community college. A chi-square analysis revealed a significant association amongorientation program, student completion of degree, student retention, and student enrollment andpersistence3.Student retention goes beyond the basics of academic scope. Studies have shown that non-academic factors must be considered when analyzing retention. The overall relationship tocollege retention was strongest when SES (Socioeconomic Status), GPA (High School GradePoint Average), and ACT Assessment scores were combined with
from the cognitive restructuringthey engaged in as they reorganized the information they explained. Moreover, the explicitemphasis on problem-solving procedures and verbalization of methods and strategies that occurin small groups encourages metacognition.17 Prior research has shown that CL has positive effects on achievement. CL in collegeremedial math has resulted in higher course grades and a greater chance of passing for studentswho worked in groups.18 Engineering students’ self-reported use of collaborative learningstrategies have been found to be predictive of course performance.19 The effects of CL onachievement are primarily manifested in improved scores on instructor-created exams, ascompared with standardized assessments. The
decongestion of overcrowded education facilities7. It’s a way to establish distanceeducation by distributing learning material and processes by utilizing the attributes and theresources of the World Wide Web66. According to the statistics from the Institute of EducationSciences, more than 27% of students in US during 2013 took distance education courses.An LMS is a software tool that is designed to facilitate e-learning33. It embraces services neededfor handling online teaching activities19. It is the “infrastructure that delivers and manages theinstructional content, identifies and assesses individual and organizational learning or goals,tracks the progress towards the goals, collects and presents data for managing the learningprocess of an