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Displaying results 22231 - 22260 of 22622 in total
Conference Session
First-Year Programs Division Technical Session 9: Evaluating and Measuring Recruiting and Major Selection Strategies
Collection
2016 ASEE Annual Conference & Exposition
Authors
Melissa A. Dagley, University of Central Florida; Cynthia Y. Young, University of Central Florida; Michael Georgiopoulos, University of Central Florida; Andrew Patrick Daire, University of Houston; Christopher L. Parkinson, University of Central Florida; Diandra J. Prescod , Pennsylvania State University ; Christopher T. Belser, University of Central Florida
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
Conference Session
New Trends in ECE Education II
Collection
2016 ASEE Annual Conference & Exposition
Authors
Ronald F. DeMara, University of Central Florida; Navid Khoshavi, University of Central Florida; Steven D. Pyle, University of Central Florida; John Edison, University of Central Florida; Richard Hartshorne, University of Central Florida; Baiyun Chen, University of Central Florida; Michael Georgiopoulos, University of Central Florida; Ronald F. DeMara, University of Central Florida
Tagged Divisions
Electrical and Computer
Conference Session
Women in Engineering Division Technical Session - Development Opportunities for Diverse Engineering Students
Collection
2016 ASEE Annual Conference & Exposition
Authors
Joanna Wolfe, Carnegie Mellon University; Elizabeth A. Powell, Tennessee Technological University; Seth Schlisserman; Alexandra Kirshon
Tagged Topics
ASEE Diversity Committee, Diversity
Tagged Divisions
Minorities in Engineering, Women in Engineering
Conference Session
Statics and Finite Element Analysis
Collection
2015 ASEE Annual Conference & Exposition
Authors
Qin Ma, Walla Walla University; Louie L. Yaw, Walla Walla University
Tagged Divisions
Mechanical Engineering
assumptions with more definite answers for students tograsp while photoelasticity provides more direct and quick results. However, the quantitativeinterpretation of the later method can be more subjective because the counting of colors is oftendifficult. Typical students’ responses as summarized below do reflect this argument.Quote: “This tool of analysis gives me more confidence because the analysis is much more precise. In thephotoelascity lab, we estimated stress based on the color range, which can be vague according to the interpretationof color.”Quote: “I trust the FEA results more than the photoelasticity results. I am more confident in the FEA results.”Quote: “The FEA method for this problem is more accurate since the program is looking at
Conference Session
Explorations in Mechanics Pedagogy
Collection
2015 ASEE Annual Conference & Exposition
Authors
Shawn P. Gross, Villanova University; David W. Dinehart, Villanova University
Tagged Divisions
Mechanics
numerical parameters used by students in the analysis were chosen by theinstructors to provide specific results that maximize educational benefits. Material failurestresses are established to be different values for tension and compression members, though theyare not varied as a function of member length for compression members. This simple approachallows for a brief qualitative discussion about the differences between tension- and compression-related member behavior, since students have not yet learned about Euler buckling.Furthermore, a higher factory of safety is used for compression members than for tensionmembers to reflect the higher potential variability associated with stability calculations ascompared to tensile material strength. The
Conference Session
New Engineering Educators Division Technical Session 3
Collection
2015 ASEE Annual Conference & Exposition
Authors
Denise Wilson, University of Washington; Cheryl Allendoerfer, University of Washington; Rebecca A Bates, Minnesota State University, Mankato; Tamara Floyd Smith, Tuskegee University; Melani I. Plett, Seattle Pacific University; Nanette M Veilleux, Simmons College
Tagged Divisions
New Engineering Educators
study styles in a larger population; and (b) effectivemeans to identify student preferences for group work in multiple types of situations (laboratories,design projects, problem sets, etc.). This study has exposed patterns of study and workingtogether that can form the basis for a follow-up quantitative study.ACKNOWLEDGMENTSThe authors would like to gratefully acknowledge the National Science Foundation for theirsupport of this work under the REESE program (grant numbers DRL-0909817, 0910143,0909659, 0909900, and 0909850). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views of theNational Science Foundation. The authors would also like to
Conference Session
Concepts and Conceptual Knowledge
Collection
2015 ASEE Annual Conference & Exposition
Authors
Gina Cristina Adam, University of California, Santa Barbara; Brian P. Self, California Polytechnic State University; James M Widmann, California Polytechnic State University; Alexa Coburn, California Polytechnic State University, San Luis Obispo; Baheej Nabeel Saoud, California Polytechnic State University, San Luis Obispo
Tagged Divisions
Educational Research and Methods
classified and color coded as desired propositions (blue),weak propositions (purple) and incorrect propositions (orange) – see Figure 6.The area of thebubble reflects the student‟s confidence in that particular code for that particular Scenario. Thisconfidence is based on the student self-declared confidence in their prediction and choice ofwords during explanations. For example, words such as “I don’t know”, “I am trying toremember from class”, “I have no idea why …” were used as an indication of low confidence.FindingsIn the Findings section, the coded data is grouped and analyzed using tables (see Tables 3 -8).This method was used as a means to analyze the data across students and to uncover potentialhidden patterns in students‟ handling of
Conference Session
INDUSTRY DAY SESSION: CMC PANEL SESSION ONE
Collection
2015 ASEE Annual Conference & Exposition
Authors
Deborah A. Trytten, University of Oklahoma; Rui Pan, University of Oklahoma; Cindy E Foor, University of Oklahoma; Randa L. Shehab, University of Oklahoma; Susan E. Walden, University of Oklahoma
Tagged Topics
Corporate Member Council, Diversity
Conference Session
NEW THIS YEAR! - ASEE Main Plenary II: Best Paper Recognition & Industry Day Session: Corporate Member Council Speaker
Collection
2012 ASEE Annual Conference & Exposition
Authors
Stephen R. Turns, Pennsylvania State University, University Park
Tagged Topics
ASEE Board of Directors, Corporate Members Council
throughout problemsolving. The findings from this study suggest that the difficulties students have with solvingnovel problems can be at least partially attributed to weaknesses in their procedural knowledge. Students develop procedural knowledge through their experiences completing problems.The ability to apply these procedures fluently (see Fig. 2), with little effort required, is developedthrough practice. The Instructional Implications section of this paper presents ideas on how thisknowledge can be developed for thermodynamics.Conditional Knowledge Conditional knowledge refers to students’ knowledge of the situations in which particulardeclarative or procedural knowledge should be applied.4,31 This knowledge reflects the
Conference Session
Civil Engineering Division Technical Session 7
Collection
2015 ASEE Annual Conference & Exposition
Authors
Dan Budny P.E., University of Pittsburgh; Sina Arjmand, University of Pittsburgh; David V.P. Sanchez, University of Pittsburgh
Tagged Topics
Diversity
Tagged Divisions
Civil Engineering
involved in providing engineeringservices to communities who are in needs. Firstly, the benefit is for the community that is servedby students, and secondly, students are encouraged to connect and reflect how their educationconnects to their professional career. Through the experience students feel better about theiractions and understand the need and therefore the impact engineers have on a community. Thisencourages them to learn more about their chosen profession, and feel more confident about theirachievements. Also, students have a chance to practice and apply what they learn in class in areal project where they are exposed to the results of their design. The positive side of the servicelearning is at the end, the students are giving back to
Conference Session
Teaching and Learning Strategies I
Collection
2015 ASEE Annual Conference & Exposition
Authors
Uzma Shaikh, Purdue University; Alejandra J. Magana, Purdue University, West Lafayette; Camilo Vieira, Purdue University; R Edwin García, Purdue University, West Lafayette
Tagged Divisions
Educational Research and Methods
categorize a problem better if thereexists an understanding of the deep structure of a problem, and this supports the problem solverin the quest of finding the correct solution approaches 17.Therefore, to effectively integrate these tools in engineering contexts, students can also developproblem solving and design skills in addition to inquiry skills, the adoption of a “practiceperspective” is needed 3. In a practice perspective the focus of learning is on participation inauthentic contexts where the learning experiences: (a) are personally meaningful to the learner,(b) relate to the real-world, and (c) provide an opportunity to think in the modes of a particulardiscipline 4. Since practice consists of a process of action and reflection in context 5
Conference Session
Entrepreneurship & Engineering Innovation Division – Evaluating Student Behaviors and Attitudes
Collection
2015 ASEE Annual Conference & Exposition
Authors
Todd M. Fernandez, Purdue University, West Lafayette; Genisson Silva Coutinho, Purdue University, West Lafayette; M. D. Wilson, Purdue University, West Lafayette; Stephen R Hoffmann, Purdue University, West Lafayette
Tagged Divisions
Entrepreneurship & Engineering Innovation
Education Explorer's Fellowship and Dr.Daniel Radcliffe. The authors wish to thank them for their support. Any opinions, findings, andconclusions or recommendations expressed in this publication are those of the authors and do notnecessarily reflect the views of those who funded this project.Bibliography1. Pittaway, L. & Cope, J. Entrepreneurship Education: A Systematic Review of the Evidence. Int. Small Bus. J. 25, 479–510 (2007).2. Matlay, H. & Carey, C. Entrepreneurship
Conference Session
Circuits and Systems Education 1
Collection
2015 ASEE Annual Conference & Exposition
Authors
Jacquelyn Kay Nagel, James Madison University; Stephen Keith Holland, James Madison University; Brian Groener, James Madison University
Tagged Divisions
Electrical and Computer
perceptions about the projectassignments and their educational value, the following open-ended questions were asked in the post-project surveys:Q11. What was the most valuable aspect of lab project #?Q12. What was the least valuable aspect of lab project #?Q13. Use the space below to add any additional comments.The following student comments are grouped based on the educational aspects of the projects, andprovide insight on what the students’ valued. The responses and feedback were positive and in favor ofthe projects educational value. Negative comments reflected the perceived difficulty of the projects. Themajority of the negative comments related to the lack of procedures and instructions.1) Aspect of Lab Design Project: As a complementary
Conference Session
Green and Sustainable Manufacturing Education
Collection
2015 ASEE Annual Conference & Exposition
Authors
Tzu-Liang Bill Tseng, University of Texas, El Paso; Richard Chiou, Drexel University; Radian G. Belu, University of Alaska Anchorage; Oscar H. Salcedo, University of Texas, El Paso; Aditya Akundi, University of Texas, El Paso; Eric D. Smith, University of Texas, El Paso
Tagged Divisions
Manufacturing
Conference Session
Something New??? within Engineering Design Graphics Education
Collection
2015 ASEE Annual Conference & Exposition
Authors
Derek M Yip-Hoi, Western Washington University; Jerimiah Gabriel Welch, Western Washington University
Tagged Topics
Diversity
Tagged Divisions
Engineering Design Graphics
pillar is sometimes added to reflect the people-related processes. The three Page 26.656.4pillars are (1) Just in Time - optimizing the workflow to respond to customer demand, (2)Thinking People System - developing and utilizing each employee’s entire potential, and (3)Jidoka - delivering high quality goods and services. 1. Just in Time - Smooth, continuous, optimized workflows Heijunka - Minimizing inventory, Producing goods according to demand. Leveling processes. Mura - Unevenness in workload Takt - The rate of customer demand Takt Time - The work-cycle to produce an item for 1 customer
Conference Session
First-year Programs Division Technical Session 10: Paying Attention to Retention
Collection
2015 ASEE Annual Conference & Exposition
Authors
William John Palm IV P.E., Roger Williams University; Charles R Thomas, Roger Williams University
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs
post-secondary institutions, the study university has implemented several programs tohelp first-year students transition to college. Three such programs relevant to this study include: 1. First Year Seminars (FYS) – special sections of a three-credit core curriculum course. Compared to other sections of the core courses, FYS include only first-semester students, are limited to an enrollment of eighteen students per section, are taught by a full-time faculty member (instead of adjunct faculty), and include additional learning outcomes intended to develop academic habits of mind (i.e., reflection, explanation, etc.). 2. RWU Experience (RWUXP)41 – a non-credit course meeting one hour per week. Led jointly by a faculty
Conference Session
First-year Programs Division Technical Session 6: Hands-on Projects and Spatial Skills
Collection
2015 ASEE Annual Conference & Exposition
Authors
Jennifer Ocif Love, Northeastern University; Susan F Freeman, Northeastern University; Kris Jaeger-Helton, Northeastern University; Richard Whalen, Northeastern University
Tagged Divisions
First-Year Programs
need or want to go there”. In summary, the small percentage ofstudent respondents who knew the Learning Center existed but did not visit felt that they didn’tneed the Learning Center’s resources, probably because they had their own tools or foundresources elsewhere (at home, for example).DiscussionThe survey data along with our own observations and reflections enable us to summarize ourthoughts on what needed to be improved, what worked, what we changed, and what could beconsidered accomplishments. As for what needed to be improved, we identified the number ofopen lab hours per week, communicating the open lab hours, our initial inventory of tools,training for the graduate student Lab Supervisors, and more computers as areas that wereaddressed
Conference Session
Beyond the Classroom
Collection
2015 ASEE Annual Conference & Exposition
Authors
Rongrong Yu, Virginia Tech; Denise Rutledge Simmons PE, Virginia Tech
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
CAREER grant #EE-1351156. Any opinions, findings,conclusions, or recommendations expressed in this poster are those of the authors and do notnecessarily reflect the views of the National Science Foundation. Page 26.1450.14References1. National Academy of Engineering. (2004). The engineer of 2020: visions of engineering in the new century. Washington, DC: National Academies Press.2. Astin, A. W. (1984). Student involvement: A developmental theory for higher education. Journal of College Student Personnel, 25(4), 297-308.3. Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research
Conference Session
Civic Engagement and Volunteerism in Engineering
Collection
2015 ASEE Annual Conference & Exposition
Authors
Michael Richey, The Boeing Company; Deepa Gupta, The Boeing Company; Timothy Kieran O'Mahony, University of Washington, College of Education LIFE Center; Laura E. Meyers, City University of Seattle; Fabian Zender, The Boeing Company; Danielle LoVallo Vermeer, The Boeing Company
Tagged Topics
Diversity
Tagged Divisions
Community Engagement Division
% 23% 26 *Central tendency (Mode) is highlightedThe participants’ beliefs about whether volunteerism can contribute to career advancement weremore mixed with most participants reporting neutral responses. While it is possible that thevolunteer engineers may be coming from a place of genuine altruism rather than self-interest asthey concentrated time and effort to volunteering with underserved students, it might also be thecase that corporate culture does not actively promote or demonstrate the value of volunteerism tothe workforce. These beliefs may be reflected in the results. Page 26.1508.16Table 3b. Agreement with statements related
Conference Session
International Division Technical Session 7
Collection
2015 ASEE Annual Conference & Exposition
Authors
Geoff Wright, Brigham Young University; Steven L Shumway, Brigham Young University
Tagged Topics
Diversity
Tagged Divisions
International
that these models changedover the five weeks of instructions. After the five weeks of instruction, the models were moresophisticated and complex, reflecting deeper thinking and understanding of engineering and technology.In 2014, the definitions of engineering and technology, and the examples of the latter showed expansionon the students’ views. These results are consistent with prior findings. Shumway et al. (2011) showedthat over the five weeks of instruction students developed more sophisticated and deeper understanding ofengineering and technology.While how the students actually explained the concepts of engineering and technology may not reflecttheir full understanding, it is possible to infer that the mental models that emerged from
Conference Session
Subjects in Renewable Energy and ET
Collection
2015 ASEE Annual Conference & Exposition
Authors
Daniel Peter Kuehn, The Urban Institute; Melvin L. Roberts P.E., Camden County College; Walter W. Buchanan P.E., Texas A&M University; Greg Pearson, National Academy of Engineering
Tagged Topics
Diversity
Tagged Divisions
Engineering Technology
Survey The frequency distribution presented in Figure 7 is useful because it abstracts from the issue of the changing size of the engineering technician and technologist workforce by plotting the density of each age group, by decade. In contrast, Figure 8 presents actual age frequencies of engineering technicians and technologists over the last four decades, thus reflecting both the age distribution and the total number of these workers. The broad pattern is comparable to Figure 9: the engineering technician and technologist workforce has aged over the last four decades with no sign of taking on younger workers. In addition to the aging of this workforce, the workforce
Conference Session
Curricular Issues in Computing and Information Technology Programs II
Collection
2015 ASEE Annual Conference & Exposition
Authors
Emre Tokgoz, Quinnipiac University
Tagged Divisions
Computing & Information Technology
Conference Session
International Division Technical Session 3
Collection
2015 ASEE Annual Conference & Exposition
Authors
Waddah Akili, Iowa State University
Tagged Divisions
International
time. Understanding the pros and cons of the lecture method is a helpful startingpoint.Lectures have a number of characteristics that does make them, for the right subject matter,desirable in the classroom (14) .It does, to a great extent, depend on the abilities and experience ofthe lecturer. An able and committed lecturer can accomplish the following: 1. Relate the material proficiently and effectively, in a manner that reflects lecturer’s personal conviction and grasp of the subject matter; 2. Provide students with a thoughtful, scholarly role model to emulate; 3. Supplement the subject matter with current developments not yet published, or interject lecturer’s own views derived from his/her own experience whenever
Conference Session
Topics in Computing and Information Technologies I
Collection
2015 ASEE Annual Conference & Exposition
Authors
Tanner Lund, Brigham Young University; Hayden Panike; Samuel Moses, Brigham Young University; Dale C Rowe, Brigham Young University; Joseph J Ekstrom, Brigham Young University
Tagged Divisions
Computing & Information Technology
views that enable users to search and make the data meaningful.This event cycle3 reflects the processes involved in turning events and their logs into usefulinformation, regardless of the implementation.Further System ExplanationThe core of this methodology utilizes search or data mining technologies. There are many toolsthat provide the ability to analyze large amounts of data and produce usable information. Toolscurrently available include: Splunk4, Apache Solr, and Elasticsearch Foundations’ ELK stack(Elasticsearch, Logstash, and Kibana). Each of these tools has the ability to take textual data andparse it into desired fields of information. For the purpose of this paper, we will be using theELK stack as our software of choice.Our
Conference Session
Evaluation: Exploring the Impact of Programs for K-12 Teachers.
Collection
2015 ASEE Annual Conference & Exposition
Authors
Laura E. LeMire, The Community College of Baltimore County
Tagged Topics
Diversity
Tagged Divisions
K-12 & Pre-College Engineering
Conference Session
Promoting Engineering and Technological Literacy
Collection
2015 ASEE Annual Conference & Exposition
Authors
Jonathan Grunert, Virginia Tech; Peter Doolittle, Virginia Tech; Stephanie G. Adams, Virginia Tech
Tagged Topics
Diversity
Tagged Divisions
Technological and Engineering Literacy/Philosophy of Engineering
engineering projectsentail risk—a risk that cannot always be anticipated. Perhaps most importantly, this citizenunderstands that engineering is not an a-political investment, and that not all engineers aredisinterested. Engineering reflects the values and culture of society, and the engineer is notimmune to his or her cultural situation.The history and evolution of engineering is another foray into the relationships between societyand engineering. Looking at the change of engineering over time is valuable, as it showcases thedevelopment of certain social aspects of engineering. Perhaps engineering historians explore thedevelopment and transformation of engineering as a profession, or perhaps they develop acomparative study of a variety of engineering
Conference Session
Civil Engineering Division Technical Session 6
Collection
2015 ASEE Annual Conference & Exposition
Authors
Mary Katherine Watson, The Citadel, The Military College of South Carolina; Amber Renee Mills, The Citadel; Kevin C. Bower, The Citadel; Kenneth Brannan, The Citadel; Michael H. Woo, The Citadel; Ronald W. Welch P.E., The Citadel
Tagged Divisions
Civil Engineering
students were able to identify that Page 26.1322.16rectangular objects experience higher drag forces than rounded objects (No. 28) (Figure 2A).Students could make this judgment based on the shape of airplanes, boat hulls, and other vehiclesthat are designed to minimize drag forces. Because student performance on these items wouldnot be expected to improve after completion of a civil engineering fluids course, they shouldlikely be omitted from the revised inventory.Items to be CreatedImportant applications in CE should be reflected on the future CE-FMCI. For instance, expertsagreed that concepts related to viscous flow, such as major/minor losses and
Conference Session
NSF Grantees’ Poster Session
Collection
2015 ASEE Annual Conference & Exposition
Authors
Gisele Ragusa, University of Southern California
Tagged Topics
NSF Grantees Poster Session
reflect emerging themes and patterns. Categories wereintegrated to form grounded theory (selective coding), to clarify concepts and to allow forinterview interpretations, conclusions and taxonomy development. Frequency distribution of thecoded and categorized data were obtained using a computerized qualitative analytical tool,Hyperrresearch® version 3.5.2. The intent of this intensive qualitative analysis was to identifypatterns, make comparisons, and contrast one transcript of data with another during ourtaxonomy and CPPI refinement.First Year Study Findings and Discussion To our knowledge, there is no coherent (mutually exclusive and collectively exhaustive)taxonomy of pedagogical practices that may contribute to student success in
Conference Session
Measurement and Instrumentation
Collection
2015 ASEE Annual Conference & Exposition
Authors
Brian J. Novoselich, Virginia Tech; David B Knight, Virginia Tech Department of Engineering Education
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
, which was comprised of thetheory’s transformational items as well as contingent reward items was named developing. Thisname articulates the notion that all items relate to leadership in a positive and constructive sense.Factor 2, comprised of both laissez faire and passive management by exception was namedpassive-avoidant/laissez faire, consistent with previous analyses of the MLQ (e.g.12). All of theitems of management by exception-active (MEA) loaded on Factor 3. Correspondingly, the factorwas renamed active management by exception (MEA) to reflect the fact that this factor maintainedthe same dimensions as the original MLQ sub-component. Table 6 shows the reliabilities of theresulting scales. The resulting three scales showed adequate
Conference Session
Software Engineering Constituent Committee Division Technical Session 1
Collection
2015 ASEE Annual Conference & Exposition
Authors
Raymond Scott Pettit, Abilene Christian University; John D. Homer, Abilene Christian University ; Kayla Michelle McMurry, Abilene Christian University; Nevan Simone, Abilene Christian University; Susan A. Mengel, Texas Tech University
Tagged Divisions
Software Engineering Constituent Committee
grading.In 2005, Higgins distributed a survey programming students who tested the tool CourseMarkerafter a transition away from Ceilidh.69 The surveys showed that over 75% of students appreciatedfeatures only AATs could provide such as multiple attempts. Specifically, most students felt thatmultiple available submissions encouraged them to work for a higher grade.In 2007, Nordquist wrote on the tool Autograder, used for a beginning programming section andthree secondary sections.3 Twenty-five out of 47 students volunteered to answer an anonymousonline survey. This survey used a 1 to 5 Likert scale, and the responses reflected an overallpositive response to the automatic grading tool. When asked, “Other things being equal, giventhe choice between