homework assignment grades.This seeming contradiction prompted a study to examine, at an individual student level,the relationships between homework assignment grades and traditional courseperformance outcome measures; i.e., quizzes, tests and final examination.Substantial homework is dogmatically accepted as an indispensable component ofengineering courses. Faculty reflect on their own education and proudly maintain atraditionally heavy homework load as a rite of passage, while students resignedly acceptthe heavy workload as part of the cost of entering into the engineering profession. Thenature of engineering, as with other hard sciences, is such that conceptual and practicalunderstanding comes from applying principles and techniques to solve
68.70a: Difference between the two groups is significant at p<0.05.b: Percentage of correct answers out of the total number answered. Page 11.374.5In order to understand the difference in the ability of the two groups to complete the instrument,the students were asked to reflect on their experience. The only guidance they were given wasthat there was a desire to explain a surprising difference in the ability of some students tocomplete the instrument. Table 2 shows the general codes developed from the responses, and thenumber of responses that could be identified with each code. It should be noted that in Table 2 asingle participant’s response
,social or religious goals. I suspect that these student assumptions reflect the dualismprevalent in modern thought that separates the material world from the world of ideas;technology is about “stuff” and “stuff” is dealt with by markets and business whilepolitics, society, and religion are the realm of beliefs, ideas, and abstractions, all of whichare ethereal and not affected by material considerations. Given that students tend to find it easy to think about technological and economicchange and are less familiar with the interplay of technology and political power orreligious beliefs, the examples offered here focus on themes relating first to religion andthen politics. While there are other ways that people use technology to shape
that thesense of belonging in women students is consistently higher in departments where they arerepresented in higher numbers9. At Arizona State University, the long-term effects to a suite ofstrategies designed to increase sense of belonging were found to be an increase in retention from0.9% per year to 1.6% per year in their undergraduate engineering cohorts from 1998 to 201310.Four areas were identified at the University of Washington as being important to thedevelopment of community and belonging of ethnic minority students: co-curricular activities,peer support, faculty/department support, and residence programs. They found that supportmechanisms changed with time and responsive strategies should reflect that11. Sophomore andjunior level
professional development tool.Dr. Peter T. Savolainen, Iowa State University Dr. Peter Savolainen is an Associate Professor in the Iowa State University (ISU) Department of Civil, Construction and Environmental Engineering. His research includes fundamental and applied projects focused on traffic operations, safety, and driver behavior, as well pedagogical approaches to improve transportation engineering education. Dr. Savolainen currently serves on the editorial advisory boards of Accident Analysis and Prevention and Analytic Methods in Accident Research. Dr. Savolainen’s peda- gogical efforts are reflected by his selection as a fellow by the American Society of Civil Engineers(ASCE) Excellence in Civil Engineering
procedural steps and important concepts in the assignment. e. My group was satisfied with how our assignments turned out.The aforementioned assignment helped the students to demonstrate their project based on theirimplementation and also, critique the projects of other students who were members of theirgroup. The in-class assignment and reflection gave exposure to other student projects. Also, theinstructor provided feedback on the Software version 1.0 and additional features wererecommended to be incorporated in Software version 2.0.Software version 2.0: Modify the Software version 1.0 based on the feedback received. State clearly how you have incorporated the feedback in Software version 2.0.The assignment, Software version
required to complete a group bridge-building project in which they utilized the entirety ofthe engineering design process to design, analyze, build, and test a balsa bridge, given materialand size limitations.Journal Development and AdministrationAfter bridge testing, students were offered five points of extra credit on a 1000-point scale tocomplete a 15 to 30-minute short-answer journal entry, found in Appendix A, regarding theirexperience of designing, building, and testing the bridge project. Use of student reflections, suchas journals, have been shown to allow students to find better meaning in the work they have done,and to be beneficial towards students experience of completing design projects14.Online Learning Management Software was used
chosenafter extensively investigating and inquiring opinions from working signal integrity engineers. Thetextbook “Signal and Power Integrity - Simplified (2nd Edition)” is one of the most used byindustry, with very high rating by technical readers.EE 497A INTRODUCTION TO SIGNAL INTEGRITY FOR INTERCONNECTS (4) Catalog Data: Transmission lines and reflections, lossy lines, rise time, material properties, cross talk in transmission lines. Time and frequency domain measurements, jitter. Prerequisite: E E 330, E E 352. (Note 3 hour lecture and 3 hour lab per week) Eric Bogatin, Signal and Power Integrity - Simplified (2nd Edition), Textbook Prentice Hall, 2009
of cash on hand at the end of a round, typically timed to about 20-30 minutes, with noresidual value for unsold inventory. Vehicles intended to be sold must identically match a masteror blueprint provided to each team at the start of a round. The customer can reject a sale for anyquality defects such as missing components, misplaced components, or incompletely attachedcomponents. The penalty for non-quality should be quite large as it reflects warranty costs in thereal world which can be very significant [16]. Quality defects can lead either to confiscation,financial penalty, or return of the vehicle to the manufacturer for warranty service.3.2 Physical Components: LEGO Brick VehiclesVehicles require about 20-40 individual LEGO brick parts
the authors are team members as socialscientists and program evaluators, and reflect upon decision making, initial data collection andanalyses, and how the reframing of impact studies with an eye towards QuantCrit and criticaltheory shifted the focus of the study of the S-STEM programs.Critical theoryEducational researchers who study K12 and higher education bring out the inequity ineducational resources, support systems, curriculum, and outcomes across multiple categories ofprivilege and oppression, such as gender, ethnicity, country of origin, first language, race, andincome. Critical educational researchers problematize these inequities, and focus ontransformative educational practices that move past providing similar experiences for all
recent alumnus who has a vision impairment. Reflections: After completing the low vision simulation, students were asked to write a reflection of their experience in the course online discussion forum. Participants were asked to post a response to the prompt below and also post two replies to their classmate’s posts. “Describe your experience today wearing the low vision simulation goggles/ blindfolds. What did you learn about living with a vision impairment? Did this activity help you break any misconceptions that you held in the past?” The qualitative analysis of their primary
that of thestudents’ perceptions of engineering in regard to their own engineering identity and abilities. In a study by M. Besterfield-Sacre in 1997, incoming engineering students were surveyed ontheir perceptions of engineering as a field, their own abilities as engineers, and their confidencein their success [1]. The performance and retention of the students were then tracked for thefollowing three years and related back to their initial attitudes. Students who left engineering ingood academic standing had significantly different attitudes about themselves and engineeringcompared to students who stayed in engineering, or who left in poor academic standing. Theinitial attitudes of students who left in good standing reflected significantly
. Unfortunately, manyaspects professionalism elude quantitative measurement—consider cooperation withmanagement or maintaining ethical standards. Consequently, objective measures can be quiterestricted in scope. In contrast, subjective ratings allow raters to consider a broad range ofreference points before making their assessment. This requires, however, a careful considerationto sources of rater error that contaminate subjective ratings. After considering both approaches,we determined subjective measures were most fitting and carefully considered the sources ofrater-error detailed below.Sources of Rater ErrorIf rater measurements were perfect, the scores provided by each rater would reflect only theratee’s degree of competence. In reality, ratings are
toconduct tasks. Similarly, competence describes a student’s belief in their ability tounderstand content. Performance and competence are closely linked. In later quantitativestudies of identity, these factors were combined into one performance/competence factor,thus reflecting student’s self-perception of performance as linked to their actualperformance. Recognition describes how parents, relatives, friends, and instructors seethe student in a given context. This framework was expanded by Hazari, Sonnert, Sadler,and Shanahan (2010) in their quantitative analysis of physics identity with the addition ofinterest to the framework. Interest describes one’s enjoyment in learning or interest inlearning about engineering. The PCIR framework refers to the
/board notes, demonstrations and visual components of concepts, and group hands-onactivities. 0 2 4 6 8 10 12 14 Developing/Using Learning Objectives Board Work/Color/Lecture Notes Group/Hand-on Activities (connecting to Concepts) Illustration of Concepts/Demos/Visual Incorporating Music Ongoing Instructor Reflection/Self-Assessment Instructor Movement Learning Names/Building Rapport Provide More Feedback/Peer Review Dynamic Classroom Spaces
accessed. Flood attacks happen when a system receives too much traffic forthe server to buffer, causing them to slow down to the point of stopping.Distributed denial of service (DDoS) attacks occur when multiple devices are leveraged into abotnet and used to target a single system. Flooding attack methods are used in DDoS strikes toincrease the volume of traffic aimed at the target. DDoS attacks can also be reflected andamplified to further increase the volume of traffic generated.Generally speaking, reflected DDoS attacks are any attack where the attacker spoofs the sourceIP address to be the address of the intended target and amplified attacks are any attack where theoriginal attack is enhanced by use of another protocol, redirection, or spoofed
ateither end. In addition to other outcomes, the mindset that a person has determines how theyinterpret mistakes they make; while someone with a fixed mindset thinks mistakes are failuresand result from their innate lack of ability, someone with a growth mindset views mistakes asopportunities to reflect and learn more.The two different mindsets grew out of the earlier work of Dweck et al. who considered howchildren deal with failure [2, 3]. They found that students who placed more emphasis on the roleof effort were more likely to persist during challenging tasks. As a result, Dweck and Legett [4]went on to describe two different forms of self-concept, one following an entity theory and thesecond following an incremental theory; these would later
Reviewer. Wanju enjoys collaborating with faculty to design online and blended courses. She strives to transfer faculty’s expertise and teaching philosophy in different learning contexts and enhance students’ learning experiences. She has published and presented research papers related to online learning and instructional design at national and international conferences. She holds a Ph.D. in Curriculum and Instruction with a concentration in Technology from the University of Illinois at Urbana-Champaign. c American Society for Engineering Education, 2017 Using Technology to Reinvent a Learning EnvironmentAbstract:This is a reflection describing the process of redesigning a lower
apprenticeship framing presumethat expertise comes through scaffolded, reflective, and social performance leading towardcontextually adaptable mastery. These contrasting frames, supported by case studies, provide atheoretical basis for improved curricular culture change.Introduction: Pedagogical change is curricular culture changeEducational experiences are embedded in curricular cultures. By curricular cultures, we meanparticular sets of assumptions, practices, and skills regarding teaching and learning that areshared by a community, or, in more colloquial terms, “the way we do things around here” withrespect to the curriculum. An individual course typically includes a particular set of expectations,roles, activities, artifacts, and underlying
currently professor and head of the Construction and Operations Management department at South Dakota State University.Prof. Byron G. Garry, South Dakota State University BYRON GARRY is Associate Professor and Undergraduate Program Coordinator in the Department of Construction & Operations Management in the Jerome J. Lohr College of Engineering at South Dakota State University. He has been a member of ASEE since 1998. As SDSU ASEE Campus Representative, his goal is to help fellow College of Engineering faculty to be reflective teachers. c American Society for Engineering Education, 2017 Continuous Improvement of Teaching via Peer and Administrator Classroom
byorganizations and often reflect the college’s unique vision which sets it apart from peerinstitutions. Analytical techniques which rely on word usage, semantic information, andmetadata information can be used to generate powerful descriptive models with allow us toobtain relevant information from text-based data. This study presents a Natural LanguageProcessing (NLP) based textual data analytical approach using Term Frequency-InverseDocument Frequency (tf-idf) to study the mission statements of engineering colleges/schools. Atotal of 59 engineering colleges/schools: 29 public, and 30 private, across the United States wereanalyzed in this study. Results of this study indicate that there is indeed a difference in tf-idfscores for public versus private
promotestudents’ critical thinking through a series of newly-designed troubleshooting exercisesembedded in fundamental DC electric circuits labs for engineering technology first-yearstudents.Three circuit troubleshooting sessions were purposefully designed and embedded throughout thecourse of the semester. For each session, students investigated several different scenarios inwhich the given circuits were not working. The complexity of the given circuits increased as thesemester progressed with the increasing theoretical knowledge of the students. Each scenariochallenged students to identify and solve one or more unknown faults in the circuit. After eachsession, instructors used students’ troubleshooting plan, reflective discussions, and conclusionsin
leadership within the civil engineering field.Using this approach this study sought to identify characteristics of leadership and leadershipeducation within the Civil Engineering discipline and then reflect on how this method could beused in a larger study across engineering disciplines. This section outlines the findings from theliterature related to leadership within the Civil Engineering discipline. 1. How has engineering leadership been operationalized or assessed in the discipline of civil engineering? 2. What methods have been used to teach or train leadership within the civil engineering discipline?The following sections will address the findings associated with each of the research questions.Operationalizing and
working on his Master’s in Civil Engineering. Mr. Fulk’s current research and interests reside in the preparation of future leaders of the construction industry. He has spent time evaluating current practices, cataloging industry needs, and reflecting on how students learn by digesting research provided in the field of Engineering Education.Mr. Seyedali Ghahari, Purdue University-Main Campus, West Lafayette (College of Engineering) Ali graduated in B.Sc. Railway Engineering from IUST in 2011, and received his M.Sc. in Construc- tion Engineering and Management from AUT in 2013. He received his second M.Sc. in Construction Materials from Purdue in 2016. Ali has been a researcher at the Concrete Technology and Durability
, supports course completionthat reflects an indirect gauge to retention and facilitates understanding complex engineeringconcepts through technological simulations.Introduction and MotivationThe President’s Council of Advisors on Science and Technology encourages developinginnovative teaching practices, to improve student retention and enhance their learningexperiences [1]. Research reveals that STEM and building sciences are taught in astraightforward way based on fragmented concepts rather than embracing technology andcreative problem solving skills [2]. Although problems related to innovative pedagogies thattrain STEM students have been enhanced through for example vertically integrating courses thatsupport students learning and trainings [3
projectswhile also facilitating connections across teams and providing customized academic changefaculty development curriculum.While much of the translation of research to practice literature is in the health promotion andclinical medicine fields, the findings are still relevant for organizational change research.Research indicates that some of the translation problems result because the information shareddoes not reflect an understanding of contextual factors and/or is not deemed to have externalvalidity [4]. Given that REDPAR research is focused on many types of organizations thatreceived RED grants, and the research broadly addresses themes among these contexts, we canwrite tipsheets to help other change agents understand basic propositions/themes
several promising LGBTQ-inclusive behaviors.MethodsIn spring 2017, the researchers conducted an online survey with the Leadership Community inorder to measure and document progress, satisfaction and outcomes for the VCP community.The members of the VCP were asked to provide examples of ways in which the VCP andadvocacy activities have made a difference - personally, to students, to colleagues, to theirdepartment, or to the profession. The results reflect the perceptions of the members of aCommunity of Practice after one and a half years of development and will provide an indicationof the strength of the foundation of a sustainable community of practice capable of achievingindividual and community goals.The survey was sent to 20 active members of
collected in the form of an online survey (via Qualtrics), a version of which was firstdeveloped and implemented by Casto et al.11. The survey used for this study consisted ofquestion topics ranging from identity and personality to authenticity and persistence. The BigFive Personality model was the main framework used to measure personality. More specifically,students were asked to reflect on their personality during two different contexts or situations -“non-academic settings” and “engineering academic settings”.The adjective checklist approach was used in the development of the survey, previouslygenerated and used by Casto et al., Table 111. This approach uses personality traits, words, orphrases for self-description and is stated to be simple
on the EWRAS andURRSA were observed. Data on the post-survey measures were obtained from 11 REUparticipants, reflecting an 85% post-survey completion rate.Table 4. Descriptive Statistics for Post-Survey Measures Standard Minimum-Measure Mean Median Range α Deviation MaximumURSSA 180.42 176.50 18.27 60.00 153.00-213.00 .91EWRAS 15.83 16.00 2.44 7.00 13.00-20.00 .86Openness to collaborating 4.67 5.00 0.65 2.00 3.00
that included their decision justifications. The students, rather thanpassively taking in information from the instructor, became actively involved in theapprenticeship. As part of this transformed role, the students were encouraged to reflect onchanges in their problem solving approaches in the final progress report. The students’ reflectiveresponses were then qualitatively analyzed for insight into their problem solving processes. Astatistical comparison of the project scores was also done to assess improvement. Theinstructor’s assessment of the students’ use of his feedback and their problem solving approacheswas gathered via semi-structured interview and included as part of the overall evaluation.1. IntroductionEngineering education must