AC 2010-1756: SPECIAL SESSION: NEXT GENERATION PROBLEM-SOLVING:RESULTS TO DATE - MODELS AND MODELING USING MEASLarry Shuman, University of Pittsburgh Larry J. Shuman is Senior Associate Dean for Academics and Professor of Industrial Engineering at the University of Pittsburgh. His research focuses on improving the engineering educational experience with an emphasis on assessment of design and problem solving, and the study of the ethical behavior of engineers and engineering managers. A former senior editor of the Journal of Engineering Education, Dr. Shuman is the founding editor of Advances in Engineering Education. He has published widely in the engineering education literature, and is co-author
transcribed by the student later). Typical journal entries take thirty minuteseach. Content analysis for journal entries and reports is facilitated through the use of softwaretools, from simple (Text Tag Cloud Generator, Wordle) to sophisticated (Metafy). Table 1. Frequency of in-country journaling by student participants in international service programs within Michigan Tech’s D80 Center In-country duration Reporting frequency 2 weeks daily 2 months weekly 2 years quarterlyWhile the journals can provide
Paper ID #26549Factors Influencing Course Withdrawal in Fundamental Engineering Coursesin a Research 1 UniversityMr. Johnny Crayd Woods Jr., Virginia Tech Johnny C. Woods, Jr. is a Higher Education PhD Student at Virginia Tech, Blacksburg, Virginia. He obtained his master’s in Educational Foundations from Makerere University (Uganda), and a bachelor’s in Sociology from A.M.E. Zion University College (Liberia). Prior to joining Virginia Tech, he served at Tubman University (Liberia) for 10 years in several capacities, including his last position as Chief of Staff to the University President and Liaison to the
director for the Fundamentals of Engineering Mechanics and Design Course, which is the largest course within the Civil and Mechanical Engineering Department. He can be contacted at david.flaherty@usma.edu. c American Society for Engineering Education, 2019 The Effects of Transitioning an Undergraduate Mechanical EngineeringCourse from Shorter and More Frequent Class Periods to Longer and Fewer In-Class Sessions By Jeffrey Rigney, Matthew Miller, Daniel Arnold, and David FlahertyAbstractClass frequency and duration are fundamental parameters within engineering education acrossnearly all pedagogical methods. Optimizing these factors enables programs to achieve a higherlevel of
communication skills within thecontext of their first-year engineering projects.The general goals for the course sequence are to 1) provide students with the skills, relationships,and motivation to succeed within the department, and 2) increase student satisfaction andretention. These goals are further expanded into the course objectives listed on the syllabus asfollows: Page 15.1079.3 1. Provide students with confidence in applying a working design process; 2. Provide students with confidence in the use of design tools including needs assessment, computer modeling, and fabrication tools; 3. Provide students with confidence in
toconsider the implications that APS findings have for their campuses. The session will offerparticipants a chance to think about connections between APS research findings and soundeducational practices on their campuses, given campus-specific engineering programs, collegeculture, and student body. Participants will be introduced to a selection of APS results and a setof ―local inquiry questions‖ that have been informed by the APS research. These questions willbe used in the session to probe educational issues of interest to the participants.Overview of the Special SessionThe special session consists of three parts: (1) an overview presentation by the APS team; (2)smaller group discussions and guided activities around the local inquiry questions
the necessary pre-requisites for engineering, which waslinked to a higher percentage of FGS students choosing to major in business, vocational fields,social sciences, and health sciences rather than engineering18. The literature shows FGS haveunique experiences in college and are more likely to be unprepared for the engineering rigorneeded. Despite these claims, many FGS in engineering often succeed to graduation, yet littlework has examined the experiences and attitudes that aided in their success. The researchquestions that are directing this study are the following:RQ 1: How do first generation college students’ experiences within engineering influenceengineering belongingness?RQ 2: How is engineering belongingness and engineering identity
engineering doctoral students. Arange of engineering communication scholarship covering pedagogy, theory and practice aredetailed in [1].Nonetheless, studies that focus on engineering Ph.D. student’s communications needs are not yetplentiful [2,3,4,5]. [6] provides an account of experience teaching technical communicationsusing a cross-cultural perspective to aide in understanding of audience and context, and using acase study approach, [7] describes methods to support Ph.D. science and engineering studentsacademic writing competency. A research method utilizing video to study cognitive aspects ofthe engineering writing process is shown by [8]. In addition, [9] has investigated the writingattitudes and processes of engineering graduate students, and
materials. As a member of IEEE’s Professional Communication Society, she serves as a book series editor for ”Professional Engineering Communication.” For the University of Wisconsin-Madison, she regularly holds workshops (both online and face-to-face) for practicing engineers all over the globe on how to improve their technical presentations.Thomas Dean McGlamery, University of Wisconsin–MadisonAmy K. Atwood, University of Wisconsin - Madison Page 22.1318.2 c American Society for Engineering Education, 2011Special Session: Moving towards the Intended, Explicit, and Authentic
the project. Morespecifically, by the end of the semester students were expected to: 1) Identify, describe and discuss the needs of the customer which are to inform the conceptual designs 2) Understand, research, and establish design specifications to meet the needs of the customer 3) Generate multiple conceptual designs using sketching, CAD, and Solidworks skills 4) Explore and evaluate the multiple conceptual designs using a number of methods (performance testing, decision-making strategies, sustainability principles) 5) Work effectively in a team setting 6) Develop a framework in selecting the conceptual design that is to be presented to the customer 7) Address and analyze the conceptual designs for basic
instructor. Grade improvement is seen bynearly eliminating the failure rate and a statistically significant shift in the overall distributionupward from previous offerings. Improvement of student evaluations are also highlightedindicating positive responses to teaching methodology as well as supplemental instruction.IntroductionThis paper is based on evidence-based practice. It is well established [1]-[2] that introductoryprograming, or technical computing, is a difficult topic for students to grasp during their initialexposure. New nomenclature, use of new software, and structural elements of programming(controls, loops, algorithms) are just some of the hurdles that need to be overcome in anintroductory course. While it has been demonstrated [2
Engineering and Technology Education for the creation and dissemination of EPICS. Jamieson is a member of the American Academy of Arts & Sciences and the U.S. NAE and a Fellow of ASEE and IEEE. Page 25.1233.1 c American Society for Engineering Education, 2012 Taking Stock: Progress toward Educating the Next Generation of EngineersAbstractAt the 2011 ASEE Conference in Vancouver BC, Purdue sponsored two sessions focused onprogress toward achieving the aim of adapting engineering education to the new realities of the21st Century world. Before the conference, a
to choose to study engineering. The researchquestion this study addresses was: What are the influences on the lived experiences of low-SESfirst-generation students who pursue engineering study?This study used a phenomenological inquiry approach, purposive criterion sampling, anddescriptive and topical coding. Interviews were semi-structured, and consisted of open-endedquestions. Transcripts were coded to identify general and unique themes that resulted in fourassertions. These low-SES first-generation students were influenced to pursue engineering studyby 1) elements of engineering experienced in informal learning settings; 2) their self-identifiedattributes and interests and their advanced skills; 3) their understanding of the image of the
for technical informationThe researchers generated the changes shown in Table 5 based on the results of this research.Several important issues that need to be addressed including reducing the amount of informationon the instruction sheet so that the students would not be overwhelmed with the writing task,include guidelines to help the students synthesize explanations for technical information wereconsidered during the brainstorming session. The researchers also decided to implement peerreview of abstracts so that the students would be able to obtain feedback regarding their work.All these will be implemented with the models used for Intervention detailed in this paper. Theremoval of the sample topic section and the grading sheet means that
in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU. c American Society for Engineering Education, 2018 Cultivating the Next Generation: Outcomes from a Learning Assistant Program in EngineeringIntroductionA growing tension in higher education in science, technology, engineering, and mathematics(STEM) disciplines is the need to produce a greater number of STEM graduates [1] whilemaintaining learning effectiveness in the resulting large-enrollment STEM courses. One way tomitigate this tension is to create
designed to help familiarize students with theDyKnow system; these problems were simple and very general; they focused on usingDyKnow features such as the status report, panel submission, and display control.DyKnow was used in almost all classes. Standard PowerPoint slides along with classactivities were uploaded to the DyKnow server prior to the start of the class. Each studentwas loaned a Tablet PC for the class period. At the beginning of the class students loggedon to a DyKnow session to access the lecture notes. Although DyKnow allows studentsto scroll back through charts presented earlier during the lecture, students were asked toremain synchronized with the instructor’s display throughout the class. A one-clickDyKnow command takes care of
teaching focused professor where he is heavily involved in design education and diversity studies.Dr. Steffen Foss Hansen Steffen Foss Hansen currently is Associate Professor in Regulatory Engineering at the Technical Univer- sity of Denmark (DTU), Department of Environmental Engineering and NanoDTU. He has a Master of Techn. Soc. from Roskilde University, a PhD degree in environmental engineering from DTU and a Doc- tor Technices (dr.techn.) from DTU. He conducts research into 1) how science and engineering can best be used in regulatory settings in situations pervaded by scientific uncertainty and complexity and 2) risk analysis, regulation and governance of nanotechnologies, and the applicability of decision-making
StepsStoppage in a solution generating process is identified during student interviews by meeting thefollowing criteria:1. Solver must explicitly make statement of stoppage. The first indicator of stoppage is the student’s explicit statement that their process has stalled. The interviewer must make an attempt to gather clarifying information from the student during the interview to verify that the solver is truly unable to continue.2. Stoppage must occur prior to solution search or solver must have rejected previously posedsolution. Stoppage occurs as a break in the solution path and should not be assigned to a generated solution that has not been assessed for validity.3. Interviewer must examine the discourse to eliminate
collaborating faculty developed a linked assignment in a general education chemistrycourse and an upper-level technical writing course. The goals of our collaboration were to fosterstudents’ control, awareness and demonstration of learning, improve student informationliteracy, and cultivate students’ negotiations with team members. We use the term “distributedcognition” to describe virtual interactions among students that led to fulfilling the goals of thelinked assignment. Students’ information literacy skills “funded” the pool of knowledge forstudent teams to access as they address the problems posed by their assignment to build apresentation.DefinitionsInformation literacy (also known as information fluency) is an umbrella concept
American Society for Engineering Education, 2013 Mobile Teaching: Merging Smart Phones, Cloud, and Desktop to Achieve Content- specific Instruction in a Generic EnvironmentAbstractMany educational institutions face a similar problem today: the necessity to reorganize teachingand lab space to improve facility utilization. North Carolina Agricultural and Technical StatueUniversity (NCA&T) made the difficult decision to eliminate dedicated labs and classrooms forcontent-specific instruction. Labs and classrooms previously equipped with private networks andcustom operating systems were replaced with a single large classroom equipped with thin
time. Over 1400 data sets have beencollected and analyzed. Within this paper the components of the analysis software are discussedalong with some results from data analysis.A Brief Introduction to Concept Maps Concept maps are a way of graphically representing the underlying components of a Page 15.1349.2particular field or subfield or, more generally, knowledge [1]. The concepts are enclosed incircles or boxes and lines or arrows linking the boxes indicate the relationship that existsPage 15.1349.3learners. Through the formation of each learner’s concept map, one can see the links andunderlying structure the learner has formed and
. Page 26.46.2Sustainability has only recently become an overarching goal in higher education. Little work hasbeen reported to address the sustainability of education (SoE) and/or the sustainability ofacademic programs within a higher education setting. Damaj et al.7, 8, 9 presented the first use ofthe term Sustainability of Education (SoE) within an engineering context. Damaj et al. promotedthe idea of looking into how sustainable an educational institution is in terms of the continuity offunctioning with quality. In addition, the authors presented a framework for measuring the SoE.The investigation addressed issues related to SoE in general and for the Sustainability ofTechnical Education (SoTE) in Particular. Here, technical education is
17engineering diploma programs since July 2017 [1] by the Maharashtra State Board ofTechnical Education (MSBTE), Mumbai and being offered in the 452 technical institutionsgeographically spread miles apart across the whole state of Maharashtra (see figure 1). University/Board of Technical Education (Certifying Body) Institution ‘a’ Institution ‘b’ Miles apart geographically separated institutes Institution ‘n’ Figure 1. Centrally Controlled University Affiliated College System of IndiaOf the several innovations, a major one that was incorporated in this new curriculum modelwas the seamless integration of the separately offered ‘laboratory course’ (seen in thecurricula of some universities), as part of the whole
format of stimuli to thetask to be easier. In our experiment, this meant that participants learning to sort the vortex streetsas laminar or turbulent would presumably have a better post-test score than those who werelearning on the general images, but then have a much harder time on the alt-test, when they hadto switch to sorting the general category.We found that, while the novice results were roughly in line with these prior findings, the expertresults suggested a different mechanism for learning was occurring. We should note that thequantitative analysis [7] did not reveal many statistically significant results. Two findings didstand out from that work: 1) When we performed a two-way ANOVA on the results, wediscovered that a comparison of
been accomplishing during their labsassigned during the first half of the semester. The second or final exam is a take home project inwhich the students had several weeks to work on their design collimating with a demonstrationto the TA and / or principle instructor during the last laboratory session of the semester. Theintent of the project/exam is to utilize all the fundamentals and skills acquired during the 4semesters of laboratory classes. Table IV provides the averages for exam #1, exam #2 (theproject), and a total average between the two exams. Table IV reveals that the control groupaverage was higher for exam #1 than the treatment group, but the treatment group scored higherthan the control group for exam #2 (the project). Overall the
knowledge relevant to the engineering discipline –which we refer to as epistemological boundaries [1,2]. Epistemologies describe the nature and extent ofknowledge – including notions of both the concept of knowing and what knowledge can be known [1,3].In this study, we focus on the extent aspect wherein we use the term epistemological boundaries to referto what information is and is not considered to be part of the engineering discipline’s body ofknowledge.Studies suggest that students have a complex understanding of what engineering, and by extensionengineering knowledge, is [4]. Dusmore et al. [4] show that students’ perceive engineering leadership asgrounded in technical competence when working with others. They also found that students see
impact of EC2020, Full Report. 2006. Washington, D.C.: ABET.10. Meier, R.L., M.R. Williams, and M.A. Humphries, Refocusing our efforts: Assessing non-technical competency gaps. Journal of Engineering Education, 2000. 89(3): p. 377-394.11. Dunsmore, K., J. Turns, and J.M.H. Yellin, Looking toward the real world: Student conceptions of engineering. Journal of Engineering Education, 2011. 100(2): p. 1-20.12. Sheppard, S., S. Gilmartin, H.L. Chen, K. Donaldson, G. Lichtenstein, O. Eris, M. Lande, and G. Toye, Exploring the engineering student experience: Findings from the Academic Pathways of People Learning Engineering Survey (APPLES) (TR-10-01). Seattle, WA: Center for the Advancement for Engineering Education
,women, low-socioeconomic, and first-generation students—were investigated for identitydevelopment. Data were analyzed using repeated measures analysis of variance procedures todetermine pre to post differences and between demographic groups and programs. Resultsindicate significant differences in identity development across all four course/programs andspecific relationships between demographics as well as additional associated variables. Page 23.1207.3IntroductionAs our nation’s population demographics shift, the rationale for increasing diversity in theengineering workforce has been articulated by leaders from all aspects of the
testing, combustion, and design of jets, and has given invited lectures at major institutions worldwide. He served overseas as a Fulbright Senior Scholar and is an Associate Fellow of the American Institute of Aeronautics & Astronautics.Dr. Manikanda K Rajagopal, Indiana University - Purdue University Indianapolis Manikanda Rajagopal earned his Bachelor degree in Mechanical Engineering from Thiagarajar College of Engineering, India in 2002. He obtained his Ph.D in Mechanical Engineering from IIT Madras, India in 2009. Subsequently, he worked at General Motors Technical Center for 2 years with specialization in ex- ternal aerodynamics . Later, he joined as Postdoctoral Research Associate at Combustion and Propulsion
core ideas enumerated in the Next Generation ScienceStandards (NGSS). We next specify our process of refining the assessment from 17 items acrossthree separate item pools to a final total of three open-response items. We then provide evidencefor the validity and reliability of the assessment instrument from the standards of (1) content, (2)meaningfulness, (3) generalizability, and (4) instructional sensitivity.As part of the discussion from the standards of generalizability and instructional sensitivity, wedetail a study carried out in our partner school system in the fall of 2019. The instrument wasadministered to students in treatment (n= 201) and non-treatment (n = 246) groups, wherein theformer participated in a two-to-three-week, NGSS