versus global). Along each of these dimensions, students are categorized as having amild, moderate, or strong preference in each of these four learning style scales.This study takes place in a mid-size, public university in the western United States. The samplefor this study includes mechanical engineering undergraduate students across four sections of arequired programming course in MATLAB, taught by the same instructor. These students wereprovided the Index of Learning Styles at the beginning of the semester. Students wereadministered a weekly quiz to assess their ability to write code, but construction of thisassessment varies by section to favor different preferences of one of the four Felder-Solomanlearning style dimensions. Performance on
tends to focus more on knowledge acquisition9. It has been shown thatproject-oriented courses increase retention rates10-12, intellectual development13, and increase notonly students’ technical and design knowledge, but also their technical writing and researchskills14. In addition, project-oriented courses expose students to the broader context of engineeringdesign, and students learn best when experiencing the entirety of the content area through real-lifeexamples and working with and learning from their peers6, 15-17.Project-oriented learning and capstone design courses allow for the concurrent teaching of designthrough application and teamwork skills, which are needed for future professional success3,4,18,19.This teaches students the
designed to assist students with self-efficacy beliefs and personal goals.At this University all engineering and computer science students take an introduction toengineering course that covers the engineering process, teamwork, communication skills, thedifferent branches of engineering, ethics, and co-curricular and extracurricular opportunities.Section sizes are ~30 students, so students can build community with peers and their professor.The professor of the Introduction to Engineering course is the academic advisor for his/her set ofstudents. Students declare or confirm their major by the end of the first semester. Resources tohelp students choose a major include laboratories, advisor meetings, student panels, a semester-long team project
a Turbulent Era.Katie JohansonDr. Kinnis Gosha, Morehouse College Dr. Kinnis Gosha (Go-Shay) is an Assistant Professor in the Department of Computer Science and Di- rector of the Culturally Relevant Computer Lab at Morehouse College. Dr. Gosha’s research interests include conversational agents, social media data analytics, computer science education, broadening par- ticipation in computing and culturally relevant computing. More specifically, Gosha’s passion lies in his research in virtual mentoring where he has several peer-reviewed research publications. Gosha’s Cultur- ally Relevant Computing Lab is comprised of approximately 10 top undergraduate researchers each year from Morehouse College, Spelman College
each. During the first brainstorm session,students were allowed to discuss with each other topics within the local wicked problem thatinterested them. A follow up discussion was facilitated by the teaching assistants and generalresearch topics were then established by the TAs based on student interests. Students alsoidentified deliverables they would like to see for this project, and these were then incorporatedinto the syllabus.At the second brainstorming session students completed personalized index cards stating theirresearch interests with the class project and then worked for the first time with peers on theirselected group project. In groups of 3 to 8, they shared ideas with each other on the topicssummarized by the TAs and wrote these
formed and assigned one of the activities to work on during their tutorial and write anaccompanying report. These groups were later able to experience one of the other activities andasked to create a video report. After both activities and reports were complete, about two monthsinto the term, students were shown one of the videos during class. They were also directed to theother videos and encouraged to watch them on their own time outside of class. Once everyonehad an opportunity to watch the videos, a quiz was given based on the content of the activities,for which students answered questions only about the activities their group participated in duringclass. Around this time they were also sent a survey to provide their opinions about the
innovation. Such models of development-and-dissemination are widely used totransform undergraduate instruction [15] and demonstrate that successful implementation in oneeducational context can be transferred to another with potential for similar success [16, 17].A report by the American Society of Engineering Education (ASEE), Creating a Culture forScholarly and Systematic Innovation in Engineering Education, endorses the creation of such aculture for scholarly and systematic innovation within engineering education [18]. The reportconceptualizes innovation in engineering education as intentionally engaging the faculty in acycle that reciprocates between “research” and “practice”. The authors write, “In an instantiationof the model, and practitioners
Centerwith a planetarium and rooftop star deck and observatory. Students volunteer to operate thetelescopes for the public on Friday nights. The professional development workshops includeresume writing, creating a LinkedIn profile, club officers’ retreat, e-portfolios, scholarship essays,transfer tips and research paper sessions. In 2017, 98 students participated in these workshops; in2018, 94 students participated. Because families think the students spend an inordinate amount oftime at the MESA Center, Family Night was implemented to share some of the projects in a fun,engaging and interactive environment. Another highlight for 2018 was the center’s visit byCongressman Joaquin Castro, who wanted to learn more about the undergraduate
for creation of the working group was to enhance prevalence ofactive learning in engineering classes in order to improve both retention and graduation rates,thus keeping these students in the engineering pipeline.Method: The team created an intensive summer program where faculty had to commit to attend akick-off meeting, a minimum of four 2-hour working sessions, and a mandatory finalpresentation. During these sessions faculty benefited from: guest speakers on developing courseoutcomes, teaching methods, and assessment techniques; access to a forum for faculty to discussadapting methods to their various subjects, including potential pitfalls and best practices;receiving peer and technical feedback and support for their new ideas
a course that meets two times a week). This model of distancelearning inherently presents challenges to teaching and learning. First, there is an inefficiencyof instructor time, when time is lost while traveling (the instructor devotes three hours to teacha one hour class at the distant location). A dedicated distance room is required twice per week,and such rooms are in heavy demand and often difficult to schedule at our university. Finally,there is a potential for loss of engagement in the far cohort who views class through a screen,most often in lecture format, with limited interaction with peers or the instructor. However, themost compelling reason to adopt a blended course model by the instructor in this study was theopportunity it
build each case is described, and examples are shared.Background on the Pedagogical Ninjas ProgramPedagogical Ninjas ProgramThe Pedagogical Ninjas program was designed to combine faculty development aroundpedagogical risk-taking with the dissemination of ideas through an additive innovation cycle [4].Inspiration for the program came from previous efforts to create and sustain faculty-led learningcommunities [5], that are willing to take risks [4] in pedagogical transformation [6, 7, 8]. Anadditive innovation cycle (Figure 1) is a community-driven process wherein participants engageeach other in the following four steps: (1) becoming inspired by the local community andinstructor peers, (2) sharing and learning about pedagogical ideas and
maximum) In-class Lecture, students takes Lecture using KACIE video (5-15 min.) notes, solve problems Each student work on his/her KACIE based on white board sheet developed for EACH of the demos concepts Mandatory submission of sheets Peer discussions allowed Teacher work with individuals on demand Repeated view of video lectures
Computer Science Principles (CSP)classes.Observers used a structured observation form, designed to focus the observer onelements of classroom behavior that were considered important to the model. Theform was used to note classroom size, composition and arrangement, technologyissues, start and end time of instruction, and a Likert-scale assessment of the qualityof teacher instruction across a set of instruction styles: lecture, problem-based, etc.and across a set of observed student behaviors: working in teams, peer-to-peerlearning support, students sharing music content, etc. Qualitative observationalevidence was used to support each score. Additional open-ended questions on theobservation form were used to capture unanticipated behaviors and
exploratory, and lacking a clearoutline before arriving on site. These trainees did not discuss having “ownership” of theexternship or their project, and it was not clear from their language choices exactly who shouldbe developing such a plan. Students who did not have a clear plan were less likely to feel theyreceived feedback on their externship performance, either on their day-to-day work or on theexperience overall. These trainees had fewer opportunities to benefit from successful masteryexperiences or positive messaging from site mentors, while the opposite was true for traineeswith well-structured externships. For example, trainees in later cohorts explained that they hadspoken with more experienced peers and, as a result, wanted to have
tenured Associate Professor of Engineering Physics at Lewis-Clark State College. Dr. Utschig consults with faculty across the university about bringing scholarly teaching and learning innovations into their classroom and assessing their impact. He has regularly published and presented work on a variety of topics including assessment instruments and methodologies, using technology in the classroom, instructional design, team-based learning, and peer coaching. Dr. Utschig completed his PhD in Nuclear Engineering at the University of Wisconsin–Madison. c American Society for Engineering Education, 2019 Connecting Theory with Practice: Four Change Projects in Faculty
design and present their results and findings to the class.The design portion of this class is emphasized through the use of semester-long projects,complimented with instruction about the design process through expert guest lectures fromindustry. The teams are allowed to experiment with their designs through SolidWorks and arerequired to build their entire prototype in SolidWorks using assemblies. Documentation is alsoan important aspect of the design process, as it requires students to have a series of status reportscontaining a portion of their project for each report. These reports help ensure that students aremaking progression throughout the semester and help them with skills to write an effective statusreport for future classes and
Distributed Systems” publishedby Scrivener Publishing, an imprint of John Wiley and Sons. Furthermore, Dr. Zhao published over200 peer-reviewed papers on fault tolerant and dependable systems (three of them won the best paperaward), computer vision and motion analysis, physics, and education. Dr. Zhao’s research is supportedin part by the US National Science Foundation, the US Department of Transportation, Ohio State Bureauof Workers’ Compensation, and by Cleveland State University. Dr. Zhao has served on the organizingcommittee and the technical program committee for numerous international conferences. Dr. Zhao is anAssociate Editor for IEEE Access, an Academic Editor for PeerJ Computer Science, and is a member ofthe editorial board for
internationaldevelopment professionals, their added perspectives are key to helping the students discernappropriate actions and are vital to the success of the projects.The Course ObjectivesThe course is founded on eight governing principles for successful projects. The lead courseinstructor developed these principles over time as she participated on various internationalservice projects in Latin America and Western Africa. The governing principles are as follows: ● Vision and understanding: The project must have both vision and understanding; one without the other will lead to failure ● Community empowerment: The community must commit in writing to governing the system ● Skin in the game: The recipient community must invest in the system
objectives in these vignettes werefocused on building an understanding of concepts that undergird the software logic and that arecommonly seen in other BIM applications and contexts. For the SketchUp vignette, the set ofconcepts was delineated as a grading rubric available to students on Canvas as part of theassignment explanation. Students worked on the vignette exercise in class and had instructorsand peers available for questions and assistance. At the end of the lab time, students wererequired to submit their work through Canvas. As expected by an introductory assignment in Page 26.932.8software skills, the student work was generally basic and
equation, you write it down and memorise it whereas with biology, it’s with the body and you can get a bit more involved with it. You can bet into it a bit more. Emily. 16 years. School 1.Of the 20 interviewees, only three preferred physics to the other sciences: I chose physics because I am good at it and I really enjoy it. Maths the same. Chemistry because I might need it for the university course I want to do and classics because I really enjoy the lessons. But I enjoy physics the most. I find it really interesting, especially the space topic. And I find it the easiest as well
of three versions of a survey, each in adifferent language, with three different cultural groups.6 Thematic analysis was used to identifyconceptual, contextual, and semantic issues with the survey implementation with samples fromthe three distinct cultural groups. These findings were evaluated holistically with quantitativefactor analysis and item analysis to evaluate and improve specific survey items.Another approach was identified by Onwuegbuzie, Bustamante, and Nelson.7 In their ten-stepInstrument Development and Construct Validation framework, they discussed a number ofapproaches to writing survey items (e.g. literature review, Delphi study, personal reflection).These authors utilized both quantitative and qualitative data to validate
Paper ID #12312Aesthetics of Design: a Case Study of a CourseMs. Katherine Goodman, University of Colorado, Boulder Katherine Goodman is currently a graduate student at the University of Colorado Boulder in the ATLAS Institute, working toward a Ph.D. in Technology, Media, and Society. Her research is in engineering education, with a focus on fluids and design courses. She holds a B.S. in mathematics and a masters of professional writing. She has previously worked as a technical writer and project coordinator, and as an instructor in composition at the University of Southern California and the Community College of
degrees. We sought to understandnot only how librarians teach students about information seeking and lifelong learning, but howfaculty instructors and advisors approach teaching these critical professional skills. In additionwe sought to understand what information sources students actually use by reviewing the workscited within five award winning project team reports per year of our study, for a total of 60projects and almost 3000 works cited. We learned that student teams, despite year, projectlocation, or discipline of study and faculty advisor use a broad range of sources, both peer-reviewed and not, and that these sources only partially correlate to the sources recommended byfaculty. Most advisors depend on the support of librarians to help
Anytime, Anywhere (DIA2) that attempts to characterize the impact of NSF and other federal investments in the area of science, technology, engineering, and mathematics education using interactive knowledge mining and visual analytics for non-experts in data mining. DIA2 is currently deployed inside the NSF and is already starting to affect federal funding policy. Dr. Madhavan also served as Visiting Research Scientist at Microsoft Research, Internet Services Research Group. His research has been published in Nature Nan- otechnology, IEEE Transactions on Computer Graphics and Applications, IEEE Transactions on Learning Technologies, and several other top peer-reviewed venues. Dr. Madhavan currently serves as PI or Co-PI
skills including presentation of the results ofdeeply-embedded security research orally or in writing, team-work, decision-making, and thelike, and (c) hard technical skills for simulations and implementations of the fault diagnosisschemes for crypto-systems including those based on AES and ECC. Page 26.989.7 ECDH, ECDSA, ECIES One Q= k.P Point
facilitate collaborative, experiential, interactive engagement,and peer learning through small-group and individual real world work assignments. The DSLfaculty have used a variety of teaching styles including problem-based, project based, discoveryand just in time teaching which have been indicated to enhance student problem solving abilitiesby many researchers 3,4,5. Other research3,4,5,6,7 indicates non-traditional courses such as DSL canincrease students’ overall academic performance, develop their interpersonal skills and developtheir ability to frame and solve real world problems. Collaborative and integrative courseenvironments have also been shown to reduce overall student attrition, increase retention ofminorities and women, increase
Lego MazeRobot had significant impact with respect to the Autonomous Waste Sorter project. Thus, aftercompleting the Grand Challenges Project and the Lego Maze Robot Project, both groups ofstudents considered that their engineering related skills had improved compared to their peers,while students who completed the Autonomous Waste Sorter Project did not think that their skillsimproved compared to their peers. Page 26.259.8 Highest 10% Score Relative to Classmates Above Average Pre-Survey
STEM education. The actstates that “The defense of this Nation depends upon the mastery of modern techniques developedfrom complex scientific principles. It depends as well upon the discovery and development ofnew principles, new techniques, and new knowledge”.2 Published literature supports the idea that individuals with ADHD may have the potential tobe more creative than their peers. 3-7 Their ability to be spontaneous and divergent thinkersallows them to take more risks. As they naturally tend to think outside of the box, individualswith ADHD have the potential to offer unexpected solutions to complex problems.8 Despite thesignificant contribution ADHD students can make, they often struggle in traditional educationalenvironments. Mainly
in Biomedical Engineering from Tulane University in 2005 and her MS and PhD in Mechanical Engineering from The University of Texas at Austin in 2007 and 2010, respectively. Her interests include biomechanics of human movement, musculoskeletal modeling and simulation, and engineering education.Dr. Kevin Patrick Hallinan, University of Dayton Dr. Hallinan is a Professor and former Chair of the Mechanical and Aerospace Engineering at the Univer- sity of Dayton. As Chair in 2008, he established a Master’s Program in Renewable in Clean Energy, which now has 55 students from 20 nations. His research interests, which have led to over 105 peer-reviewed pa- pers and over $4M in research funding, have been diverse
. Recognition itemsincluded “my advisor sees me as an engineer,” and “my peers view me as an engineer.” Onepossible reason for this finding is that graduate students may not view the opinions of faculty andpeers as related. Another potential reason is that they do not need to rely as much on theirperceptions of the opinions of others. Unlike undergraduates, graduate students may have otheraccomplishments or validations that serve as recognition, including engineering bachelor’s ormaster’s degrees, full-time work experience, or licenses. Recognition items may need to bemodified and added in order to consider graduate students’ unique acknowledgements such asobtaining a bachelor’s degree in engineering or being a co-author on a published peer