one data set for initial coding, assigning descriptive words and phrases tothe 2019 mentor’s responses. Smith and Osborn [14, pp. 68] detail this process, noting “the skillat this stage is finding expressions which are high level enough to allow theoretical connectionswithin and across cases but which are still grounded in the particularity of the specific thingsaid”. After coding the interview, the research team grouped similar and redundant codes intolarger themes. The coding and grouping process was then repeated for the 2018 and 2017 datasets, adding codes to the existing themes when appropriate and creating new themes whennecessary. This process led to a master document of compiled themes and some outliers. Theresearch team continued
AC 2009-878: A REVISITED STUDY ON THE USE OF CLICKER TECHNOLOGYTO EVALUATE SHORT-TERM CONCEPT RETENTIONAdam Czekanski, United States Military Academy ADAM J. CZEKANSKI is an instructor in the Department of Geography and Environmental Engineering at the United States Military Academy at West Point, New York. He teaches introductory courses in environmental science, environmental engineering, and hydrogeology. Mr. Czekanski’s academic and research interests include engineering education and drinking water treatment in developing nations. Mr. Czekanski is a licensed professional engineer in the Commonwealth of Virginia.David Roux, United States Military Academy DAVID-MICHAEL P. ROUX is an instructor
observation protocol thatallows researchers to categorize these aspects of formative assessment.Conceptual Model of Formative AssessmentThe conceptual model in Figure 1 demonstrates a hypothesized process of formative assessment.First, an instance of formative assessment is initiated by the instructor (first block). Then, one ormore students respond to the formative assessment (second block), for example, by answeringthe instructor’s question or by asking their own question. And finally, the instructor evaluates thestudent response and makes their own response (third block). This response may be brief (e.g.confirming that a student’s answer is correct) or more involved (e.g. discussing why a student’sanswer is correct), and it may change the course
AC 2009-770: QUANTIFYING LEARNING THROUGH THE USE OF MIND MAPSAND CONCEPT MAPSGloria Starns, Iowa State University Gloria Starns is a Senior Lecturer at Iowa State University. Dr. Starns earned her Ph.D. from Iowa State University in 1996. Her research interests include synthesis of planar mechanisms using optimization methods. In the area of engineering education Dr. Starns is researching the ways in which to quantify learning.Mathew Hagge, Iowa State University Mathew Hagge is a lecturer in Mechanical Engineering at Iowa State University. For his Ph.D., Dr Hagge developed a CFD model for biomass pyrolysis. He specializes in the area of thermodynamics, and his teaching efforts have
? the focus of this studyThe first phase entailed a subset of the research team identifying an initial set of critical incidentsfor each individual. These observers reviewed critical incident literature to understand whattypes of events, activities or actions could be considered “critical.” Then each observer readthrough three sets of reflections (none of which was their own). Two observers were assignedeach subject’s reflection, coding independently. The observers identified evidence of criticalincidents within the individual person’s transition, noting details about the incident (e.g., causeand effects) and any questions they may have about the incident or its effects. Figure 1: Iterative analysis process engaging the subjects
epistemologies, as a key area for future research,is conceptualized as “research on what constitutes engineering thinking and knowledge withinsocial contexts now and into the future (p.259)”2. They initiated a call for investigation about theessence of engineering knowledge and knowing, focusing on its technical, social, and ethicalaspects, which are critical for solving engineering problems within dynamic and interdisciplinaryenvironments. Accordingly, a number of scholars have investigated the nature of engineeringknowledge and the role of engineers.3 4 5 6 7 8 9 10 11This scholarly interest in engineering epistemologies is rising along with the emergence of theconstructivist-interpretivist paradigm in engineering education. Increasingly, researchers
Parameters 22 34 36 38 17 Figure 3A: The Model Map constructed from the fine grain protocol analysis data of Team AGeneral ObservationsThe general interpretation of solution strategy utilized by Team A did not significantly changebetween the two data sources. Initial research quickly gave way to an integrated group ofutilized model components. The primary group of model components was improved upon andthe result
described constant comparative method and quantitative data? mixed methods studies How do engineering Specific combinations of themes Data were integrated by means education researchers and evaluation criteria were of mixing tables as shown inRQ 3 interpret and report the extracted from the qualitative and the discussion section(mixing) meaning and use of mixed quantitative analysis methods research designs?B. Data Collection: Selection of the SampleSelecting the sample for this study involved reviewing articles published in several journals from2005 to the present. Initially three journals
researchers, standardsfor quality vary significantly among those who engage in qualitative research.[4] In theengineering education community, the most widely accepted framework for quality in qualitativeresearch was initially proposed by Walther, Sochacka, and Kellam in the Journal of EngineeringEducation in 2013,[5] and has since been expanded in subsequent publications.[6],[7]With great respect for this framework, we offer this critique as a means to further expand theframework by making it more rigorously account for linguistic and cultural plurality. Indeed, theauthors of this framework have suggested that addressing the persistent problem ofunderrepresentation is one core reason for conducting qualitative research.[8] Given thatresearchers of
Paper ID #22172The Research Experience for Undergraduates (REU) Principal Investigators(PI) Guide: Development of a Best Practices WebsiteMs. Mariangely Iglesias Pena, Iowa State University Mariangely Iglesias Pena is an MS student in Human Computer Interaction at Iowa State University’s Virtual Reality Applications Center. Her background is in industrial design, which drives her interest in interactive and web design.Prof. Stephen B. Gilbert, Iowa State University Stephen B. Gilbert received a BSE from Princeton in 1992 and PhD from MIT in 1997. He has worked in commercial software development and run his own company. He
other methodologies in engineering education research and theopportunities for using this methodology in engineering education research. As a result of theNational Science Foundation’s Innovation Corps (I-Corps) and I-Corps for Learning initiatives,the Lean LaunchPad®/Customer Discovery methodology has grown in popularity withinacademic institutions, particularly in business and entrepreneurship education. In addition, theLean LaunchPad®/Customer Discovery approach has helped startups, individuals, academics,and students test the potential of an idea, make important decisions about the structure, value,and implementation of their projects, and develop a minimum viable product, service, oroffering. While the Lean LaunchPad®/Customer Discovery
University of Science & Technology Suzanna Long is an Assistant Professor with the Department of Engineering Management and Systems Engineering at Missouri University of Science & Technology (formerly University of Missouri, Rolla). She holds a Ph.D. and an M.S. in engineering management, B.S. in physics, and a B.A. in history from the University of Missouri, Rolla (UMR), and an M.A. in history from the University of Missouri, St. Louis. Her research interests include strategic management of sustainable supply chain partnerships, transportation-logistics, supply chain management, engineering education, and organizational analysis.Sean Michael Schmidt, Missouri University of Science & Technology
we describethe methods we used to visualize and represent his real-time screen-capture data. In the discussion,we examine what our approach makes visible about graduate student writing processes anddescribe how our work could potentially further the literature and understanding of engineeringgraduate student writing, engineering writing in general, and other large amounts of time-resolveddata.2. Literature ReviewEngineering writing competencies at the undergraduate level are often emphasized in terms ofWriting Across the Curriculum (WAC) and Writing in the Disciplines (WID) initiatives 1,2.However, at the graduate level, academic engineering writing is rarely taught through formalmechanisms, instead relying heavily on research advisorship to
, and retention as the overall demand formoved from the defense needs of the cold war era to the explosive rise of global competition(National Research Council Board for Engineering Education, 1995). The need for change wasinitially recognized in three separate reports targeting engineering education (American Societyfor Engineering Education [ASEE], 1994); National Science Foundation [NSF], 1995; andNational Research Council Board for Engineering Education, 1995). Since those initial studies, Page 15.51.2other reports have called for more specific changes related to teaching and curriculum to supporta more diverse group of learners
Add/Edit/Remove Sensor Tree Add/Edit/Paste/Remove Tree Visual Analysis Heliodon, Animate Sun, Shadow, Daily Cumulative Radiation Schema 3 Insulation Change Solar Heat Gain Spin View, Top View, Zoom Coefficient, Change U-ValueAn initial review of student data logs showed 95 and 121 distinct student actions captured in theprocess data at the high school and middle school, respectively. Any resulting n x n matrix resultingwould have over 9000 or over 14000 cells many of which would be sparsely populated. In orderto make the matrices amenable to analysis, researchers reviewed
AC 2010-253: DELIVERING ENGINEERING EDUCATION RESEARCHFINDINGS TO THE PRACTITIONERS: A NEW WORKSHOP MODELAPPROACHCindy Waters, North Carolina A&T State UniversityHelen Chen, Stanford UniversitySheri Sheppard, Stanford University Page 15.344.1© American Society for Engineering Education, 2010 Delivering Engineering Education Research Findings to the Practitioners: A New Workshop Model ApproachABSTRACTIn 2008, the Academic Pathways of People Learning Engineering Survey (APPLES) wasdeployed to over 4,500 undergraduate students with the goal of contributing to the understandingof: (1) how students’ engineering knowledge develops and changes over time; (2
analysis to establish categories to group the responses.22 An initial set of categories wasidentified by the principal investigator based on the focus of the research program on studentcognition and the basic conditions of the laboratory experiences. An inductive set of codes wasindependently determined by the second researcher based on concepts that emerged from thefirst reading of the student survey responses. Coded sections of the survey from both researcherswere compared to identify multiple common terms and few differences. The differences werediscussed and reconciled. In addition, the course performance of students, measured by the finalscore on all assignments, was used to correlate aggregate responses to performance.The number of coded
the distinctive characteristics our students in regard to teaching andlearning in engineering education.After initial attempts to understand how students were learning, the engineering faculty authorsteamed up with a psychology professor, an expert in educational psychology (V.S.) whoprovided significant insights into what we were observing.For example, one probable aspect of students’ dissatisfaction with PowerPoint for technicalpresentations is the limitation of short-term memory in connecting previous slides of data and Page 14.1293.2equations with a present slide, a problem that doesn’t arise when blackboards are covered withequations and
industrial and systems engineering and engineering manage- ment and a 2009-10 Gray Faculty Fellow at the University of Alabama, Huntsville. Her research interests are in applying statistical analysis and optimization to supply chain management, transportation man- agement, and engineering education. She holds a B.S. in industrial engineering (Lehigh University), a master’s in business administration (Penn State University), a M.S. in industrial engineering (University of Pittsburgh), and a Ph.D. in industrial engineering (University of Pittsburgh). Address: N149 Technol- ogy Hall, The University of Alabama in Huntsville, Huntsville, AL 35899; Phone: (+1) 256-824-6637; Fax: (+1) 256-824-6733; Email: gillian.nicholls
self-evaluation and open response questions to collect quantitative and anecdotal evidence describing © American Society for Engineering Education, 2023 2023 ASEE Midwest Section Conferencepotential improvements to the students’ research skills and self-efficacy, mentoring relationships,and awareness and interest in careers in STEM.Mentoring activities were held during the research experience and planned for the upcomingacademic year as a part of the REM initiative. Emphasis was placed on sessions where the studentscould interact with the undergraduate and graduate student researchers in both formal and informalsettings. The program supplied lunch weekly for the HS students and the
UK first as an undergraduate research intern and then as a graduate student performing his doctoral research at UK CAER and at the University of Alicante (Spain). After obtaining his Ph.D. in 2008, he worked as a postdoctoral fellow at Utrecht University (The Netherlands) prior to retuning to UK CAER, where he now holds the position of Prin- cipal Research Scientist. His current research focuses on the application of heterogeneous catalysis to the production of renewable fuels and chemicals, with emphasis on the upgrading of waste and algae oils to drop-in hydrocarbon fuels. His synergistic activities include leading and participating in a number of K-20 educational initiatives designed to increase and broaden
Session 1526 Promoting Undergraduate Research by Creating a Research Option in a Technical Communication Course: Initial Project Phase* Michael Alley, Jenny Lo, and Bevlee Watford Engineering Education Department Virginia TechAbstract Although many institutions such as the National Science Foundation, the AmericanAssociation for the Advancement of Science, and the National Research Council have called formore undergraduate research, incorporating significant research experiences into undergraduateengineering
something about it.Leading a student initiative to bring research opportunities to freshman and sophomore electricaland computer engineering (ECE) students, Xu directed the creation of the PromotingUndergraduate Research in ECE (PURE) program.The primary aim of PURE is to provide motivated undergraduate students with researchopportunities while they are freshmen and sophomores. At the beginning of the semester, PUREactively recruits both graduate and undergraduate students and facilitates the mentor-menteematching process. Then, over the course of the semester, the graduate student research mentorguides the undergraduate student through an educational research project. For manyundergraduate participants, PURE provides their first real exposure to
and pursuing their own research interests, presentingtheir work) [6]. We then organized our analysis into two interconnected taxonomies shown inFigure 2. Finally, we examined the connections between the two taxonomies to draw conclusionsabout how the faculty member's assertion or sharing of power-with the undergraduate studentsimpacted the students’ power-to engage in research activities.Preliminary Results and Initial FindingsBelow we present our domain analysis of the kinds of power that manifested on Team Y. Wealso present our taxonomic analysis of the actions taken by the members of Team Y, what kindsof power they used to take these actions, and how that power was transferred.Manifestations of Power on Team YThrough our domain analyses of
capacity.Summary of findings1) Evidence-based interview protocol about relationships between epistemic cognition and identity in the context of researchResults from our pilot study and Phase I survey data analysis2 revealed four themes based onfactors that students perceived as affecting their researcher identities: discovery, dissemination,integration into society, and self-regulation. These themes were used to develop a semi-structuredinterview protocol that included base questions and follow-up questions; follow-up questionsallowed us to explore topics that participants were not initially able to verbalize on their own. Forexample, one base question asked about where knowledge in the field comes from; a follow-upquestion was added to prompt
Paper ID #7102Developing Interdisciplinary Research Partners: The Learning by InnovativeNeuro Collaborations Research UREDr. Barbara Burks Fasse PhD, Georgia Institute of Technology Barbara Burks Fasse is the Director of Learning Sciences Innovation and Research in the Coulter De- partment of Biomedical Engineering (BME) at Georgia Tech. Dr. Fasse studies the efficacy and value of student-centered learning initiatives and reform pedagogy, specifically Problem-Based and Project-Based Learning, in classrooms, instructional labs, capstone design, and undergraduate research experiences. She joined the BME faculty in 2007
The Research Communications Studio as a Tool for Developing Undergraduate Researchers in Engineering C. Long, E. Alford, J. Brader, L. Donath, R. Johnson, C. Liao, T. McGarry, M. Matthews, R. Spray, N. Thompson, and E. Vilar University of South CarolinaAbstractThe NSF-funded Research Communications Studio (RCS) project at the University of SouthCarolina, responding to groundbreaking theories in How People Learn, is among the firstattempts to measure students’ responses to research-based learning in a distributed cognitionenvironment. As an alternative to the unguided research scenario often encountered by part-timeundergraduate researchers, the project
Vikram Kapila is a Professor of Mechanical Engineering at NYU Tandon School of Engineering (NYU Tandon), where he directs a Mechatronics and Control Laboratory, a Research Experience for Teachers Site in Mechatronics and Entrepreneurship, a GK-12 Fellows project, and a DR K-12 research project, all funded by NSF. He has held visiting positions with the Air Force Research Laboratories in Dayton, OH. His research interests include K-12 STEM education, mechatronics, robotics, and control system technology. Under Research Experience for Teachers Site and GK-12 Fellows programs, funded by NSF, and the Central Brooklyn STEM Initiative (CBSI), funded by six philanthropic foundations, he has con- ducted significant K-12
were more likely to emphasizegains in personal and professional growth, such as increased research confidence, ability tocontribute to science, opportunities to present research, and networking opportunities. Facultymembers were more likely to discuss benefits in terms of student responsibility, intellectualengagement, initiative, independent critical thinking and professional socialization.Findings from this literature should be interpreted with caution as the benefits of undergraduateresearch depend on the contextual factors within which the research takes place. One of thesecontextual factors is a careful fit between student interests and experiences and programofferings, in particular the quality of faculty mentoring. Barker17 noted that a
Digital Systems Teaching and Research (DSTR) Robot: A Flexible Platform for Education and Applied Research Matt Leonard, Dr. Joseph Morgan, Jeremy P. Coffelt Texas Space Technology Applications and Research (T STAR) LLC 216 W. 26th St, Suite G2, Bryan, TX 77803, USA E-mail: matt@tstar.us Abstract The DSTR (pronounced “Disaster”) robot has a stronghistory of being adaptable to different user’s needs, and thereare many opportunities ahead that indicate that the sky, quiteliterally, is not the limit for this robust platform. This paperprovides a historical perspective on the