phenomenon, we developed a community of practice where we shared our experiences and informed our practice through written reflections and weekly meetings. Using the Q3 qualitative research framework as a guide for establishing procedures, we combined elements from collaborative autoethnography and collaborative inquiry to narrate our experiences. We analyzed a subset of our first semester reflections to understand the challenges we faced in our new positions and support we received from our weekly meetings. We found the time management of teaching, research, and service to be overarching challenges. Additionally, the support from our weekly meetings
interested in all aspects of engineering education, including how to support engineering students in reflecting on experience, how to help engineering educators make effective teach- ing decisions, and the application of ideas from complexity science to the challenges of engineering education.Dr. David P. Crismond, City College of New York David P. Crismond is an Associate Professor in the School of Education at City College, City University of New York, 138th St. & Convent Ave. NAC 6/207b, New York, NY 10031; dcrismond@ccny.cuny.edu. His research interests relate to engineering design cognition and instruction, and helping teachers build their own design pedagogical content knowledge, create their own video-based
learning, reflective eportfolios, and professional development of graduate students related to teaching.Maria L. Macik, Texas A&M University Maria Macik is an associate instructional consultant at the Center for Teaching Excellence at Texas A&M University. She earned a B.S. degree in psychology and sociology from Texas A&M University, an M.S. degree in educational psychology, and is currently pursuing a Ph.D. in educational psychology at Texas A&M. Her research interests include: curriculum (re)design, creativity and innovation in higher education, and reflection and transformative learning.James Kaihatu, Texas A&M University Associate Professor of Civil Engineering at Texas A&M University. Have
Online Learning Environments through Intelligent Fast Failure (IFF)AbstractIn this paper, we address the stimulation of creativity in online learning environments throughour examination of a simple hands-on task aimed at teaching the principles of Intelligent FastFailure (IFF) in the context of a Massive Open Online Course (MOOC) focused on creativity,innovation, and change. A simple physical “prototyping” exercise involving common householdobjects was designed and presented to a global community of online learners using the CourseraMOOC platform. Data gathered from the task outcomes and student reflections were analyzedwith respect to gender and cultural differences, as well as correlations between the number ofattempts
processes 41.Taken as a whole, this body of literature centers on students’ processes of engineering design.This represents another important area for instructors’ assessment: how are students talking andacting in ways that reflect expert design practice and support their engineering.Students’ perspectives within and about engineering designA third line of research in engineering education explores students’ perspectives within andabout learning engineering design. Some of this research examines student perspectives based onevidence gathered in situ as students work on engineering design tasks. Researchers draw on thenotion of framing 42, 43, 44 and emphasize the importance of examining how students interpret andcoordinate different perspectives of
reflect on the deeper rootcauses and instead focus on the superficial error. Without deep reflection students may not gainthe awareness that they need to confront misconceptions or make strategic changes in theirlearning. The second tool tested is the assignment correction, a variant of exam wrappers butused for more frequently occurring activities such as homeworks or quizzes. The idea is that,perhaps, improving metacognition requires frequent practice. If the exam wrapper could beadapted for use with graded assignments, it would provide such practice. To remain a tool that iseasy to use, however, assignment corrections must be briefer than an exam wrapper, easy toassign, collect and score, and continue to consume little to no class time for
students reflect on their experiences within engineering competitions? 2. How do students describe their experiences and understandings of professional and ethical responsibility? 3. What are the key attributes of professional responsibility within an engineering competition?MethodsThis study was primarily a qualitative study. Data were collected from undergraduateengineering students participating in the IAM3D Design challenge, which was a non-curricular engineering competition. The students were required to design and fabricate aremotely-piloted hybrid ground and air vehicle. We used descriptive statistics to addressRQ1. Based on the results, we mapped out the terrain of how students
, where she also serves as co-Director of the VT Engineering Communication Center (VTECC) and CATALYST Fellow at the Institute for Creativity, Arts, and Technology (ICAT). Her research interests include interdisciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a CAREER award to explore the use of e-portfolios to promote professional identity and reflective practice. c American Society for Engineering Education, 2016
science teaching methods course and volunteered for a follow-up engineeringprofessional development institute, which was the context for this study. Data sources includedvideos of the teachers solving design problems, teachers’ written and oral reflections onengineering teaching experiences, and researcher field notes from the after-school week. Wegenerated thick descriptions of the cases of Ana and Ben and used these to develop conjecturesabout their engineering epistemologies. Following microethnographic methodology andstrategies from discourse analysis, we re-examined transcripts and other data artifacts forconfirming and disconfirming evidence of these conjectures.We found that Ana and Ben framed engineering learning as building knowledge
. 6) The Scholarship of Teaching and Learning is an area of scholarly work that is receivingincreased attention in higher education and many engineering education faculty are embracingmore scholarly approaches to teaching and learning. Streveler, et al.2 outlined a wide range ofinquiry in engineering education, and was informed by scholars in and outside the field ofengineering education (e.g., Hutchings and Sulman, 1999; Lohmann, (n.d.); and Streveler,Borrego, Smith, 2007 as cited by Streveler, et al.2). Table 1 summarizes the variety of ways inwhich engineering faculty can engage in engineering education research and practice in fourlevels of inquiry. Level 0 Teach: Teach as taught and without reflection Level 1 Effective
reliableinstrument.Internal reliability of each was measured by Cronbach’s alpha for each of the four factorsand for the instrument overall. The reliability ranged from 0. 614 to 0.672 for the fourfactors and was 0.602 for the instrument overall. In general, this shows a marginal levelof internal reliability, which is something that will need to be addressed in furtheriterations of the instrument.DiscussionIn general, our analysis did result in four discrete factors that reflect the acceptance orresistance to two distinctive aspects of ill-structured problem solving: ambiguity andmultiple perspectives. With further development, an instrument of this nature could beused by classroom instructors to gauge where students are with respect to majorthresholds in how they
survey responses in light of studentgrades in the course. Each ILS dimension is scored on a (-11, 11) interval describing thespectrum between two extremes. For example, a score of (-11) on the ACT-REFdimension indicates a strong preference for active learning, while a score of (+11)suggests a deeply reflective learner. In this first phase of data analysis, we definemisalignment as the (student) – (instructor) ILS score across all four ILS dimensions. Assuch, we have 440 misalignment scores (4 ILS dimensions for each of 110 students), andall are integers on the interval (-22, 22)[1]. We also have dynamics course grade for eachstudent.Results—ILS MisalignmentWhen we consider all participants from both the faculty (nf = 33) and student (ns = 317
their part of speech.We will be focusing on the Uber Index (Figure 3) developed by 5 that highlights certain featuresof communication of an individual as a reflection of lexical diversity. Lexical diversity can beseen as measure for how varied the structure of speech is and this category of assessment hassignificant research history within the field of linguistics. This indicator reflects lexical diversityby relating the total number of lexical words used (T) in a text sample with the number of uniquelexical words used (N). Figure 3: Uber Index 5.This index was chosen for analysis because the Uber Index is seen as as a better representation oflexical diversity for texts of varying length than other similarly
response to self-reported vulnerabilities and concerns of engineeringstudents. This paper presents data from practical efforts to identify and mitigate anxiety amongengineering students. A group of twenty-seven engineering and engineering technology studentswho were part of a scholarship program was asked to submit journal entries in which theyreflected on their fears and anxieties related to their participation in their degree program.Prominent themes which emerged from student reflection included time management and itseffects on academics and social activities, the likelihood of degree completion and success inengineering-specific coursework (e.g. senior capstone projects), and aspects of life followinggraduation such as handling accumulated
students’ professional formation, the role of reflection in engineering learning, and interpretive research methodologies in the emerging field of engineering education research. His teaching focuses on innovative approaches to introducing systems thinking and creativity into the environmental engineering program at the University of Georgia. c American Society for Engineering Education, 2016 Academic help-seeking as a stand-alone, metacognitive action: An empirical study of experiences and behaviors in undergraduate engineering studentsAbstractContemporary research investigating academic help-seeking behavior (HSB) is predominantlyK-12 in focus. Few studies have
teamexperiences. Second, we focus on negative feedback and experiences, rather than positive. Ourgoal is to capture elements of teaming that may not be captured by the more widely-usedapproaches. A common example of negative teaming behavior is ‘freeloaders’, students whomay devote little effort to the team but who benefit from the work of their teammates. Anotherexample is when one student re-does work produced by a teammate; this will likely lead to ahigher-quality output, an outcome which appears to be positive. However, the student whosework was re-done may find this to be a demotivating experience, undermining their confidence,which may in turn contribute to a lower commitment to engineering. Because teaming behavioris likely to reflect schemas
encouraging collaboration andreducing competition may increase achievement. Cooperative learning is one such instructionalstrategy that has been shown to improve affective outcomes, such as self-efficacy in students.12Cooperative Learning Group learning can take a variety of forms, and many of the terms to describe these formsare used interchangeably (e.g., cooperative, collaborative and problem-based learning13). Thesegroup learning varieties have been found to increase student motivation and achievement, butdiffer in terms of level of task structure, the assignment of roles to group members, use of sharedmaterials, involvement of instructors, and built-in reflection on the process. One particular grouplearning structure used in the current
selected from the existing instruments previously noted. Studentswere asked to respond to the questions from the perspective of the class they were in (either theIDEAS course or Course X). The assessments were conducted online in the 2nd, ~6th, and finalweeks of the semester. The evaluations asked students to consider their feelings about the mostrecent course meeting of their IDEAS course and of Course X as they responded to thequestions. The results should therefore reflect students’ motivational and curiosity state on threedistinct days in the beginning, middle and ending of the semester. In addition, a questionnaire atthe end of the semester asked students to reflect on the extent to which, in their view, the sevenattributes of IDEAS courses
& Engineering Literacy/Philosophy of Engineering These numbers provide evidence of a common interest in engineering communication, but theyalso reflect the fragmentation of the scholarly conversation. This paper reports on work inprogress toward the goal of establishing some coherence in the conversation while at the sametime highlighting the diversity of approaches and range of expertise that are relevant toresearching and teaching engineering communication. We have begun a qualitative analysisusing papers presented at the 2015 annual conference as our evidence base. Here we provide aquantitative overview of the papers, identify trends that we have observed in the papers
from each other or the world. If students wereencouraged to see their choices in attending college, they might be able to see their ownautonomy of choice in the classroom, but it is often opaque to them as they try to maneuver thedemands of graded daily homework or project progress reports. Students could also see theprogression of their mastery of concepts if they could reflect on what they didn’t know threemonths ago or a year ago, but when they get a poor exam score they are more apt to feeldiscouraged. It is not to say that there haven’t been attempts to enhance intrinsic motivation withgreat success. Particularly pedagogies that allow students to contextualize learning have beensuccessful. This includes project based learning, service
interviewed twice to capture new experiences and changes in perspectivesafter switching job roles, or after graduating and starting their first full-time positions. Anothergroup of subjects is being asked to respond to a series of guided reflection prompts during theirinternship or co-op rotations, culminating with an exit interview. This work goes beyondinvestigating how early career engineers grapple with technical problems to more broadly studythe nature of their encounters with boundary spanning situations and challenges, in part viewedthrough the boundary spanning typology and themes identified during the first project phase.This paper offers additional details about the development and evolution of our ethnographicinterviewing protocol, as well
Paper ID #16372Making an Impact on Engineering Education Communities: Learning fromthe Past and Looking ForwardDr. Cheryl Allendoerfer, University of Washington Dr. Allendoerfer is a Research Scientist in the College of Engineering at the University of Washington.Dr. Ken Yasuhara, University of Washington, Center for Engineering Learning & Teaching Ken Yasuhara is a research scientist at the Center for Engineering Learning & Teaching (CELT), a campus lead for the Consortium to Promote Reflection in Engineering Education (CPREE), and an instructional consultant in the Office for the Advancement of Engineering Teaching
haveworked through the steps of decoding the disciplines in conversation with technical-expertfaculty.e.g., 32 However, professional communication in “Preparation for Undergraduate Research”is taught by communication instructors – not disciplinary experts – and contains far too manysub-fields – and thus far too many bottlenecks – to manage this model as originally designed.Instead we have developed a different framework - inspired by “Decoding the Disciplines,” buttheoretically informed by RGS - upon which students reflect on their own aspiring-to-expertdomain knowledge, in order to make the rhetorical genre knowledge of their discipline explicit.B. Stage I: Identifying and Communicating ContributionsIn the fall semester, major deliverables (i.e
Numeric Cognitive Metacognition Critical thinkingFigure 7: The Learning Domains Wheel for snapshot analysis and selection of learning domains categories to achieve realistic outcomes measurement with easier PIs classification processThe cognitive domain involves acquiring factual, conceptual knowledge dealing withremembering facts and understanding core concepts. Procedural and metacognitive knowledgedeal essentially with problem solving, which includes problem identification, critical thinking andmetacognitive reflection. Remembering facts, understanding concepts and problem solving areessential, core
Foundation under Grant No. NSF 14-32426,14-31717, and 14-31609. Any opinions, findings, conclusions or recommendations expressed in the materialsprovided are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. understand and assess the students’ STEM affect. Each component of the theoretical frameworkis described in the following paragraphs.STEM-literacy for the 21st Century is multifaceted and includes content knowledge and habits ofmind5. For the purpose of this study, we refer to STEM-literacy as the union of students’understanding of STEM content and their ability to reason critically about structures using civilengineering principles. The STEM content relevant to the Structures course was
that it is more efficient to encourage students to adapt to hybrid or onlinelearning than it is to try to design systems to adapt to each student’s learning style.From 2009 through 2012, our Industrial Engineering Technology program at SouthernPolytechnic State University converted all of our major courses to a Converged Course format.The Converged Course format can fit the needs of both traditional and non-traditional students.A 2013 ASEE conference paper17 presented the format and a very simple measure ofperformance. In 2015, Southern Polytechnic State University merged with nearby KennesawState University. This merger has not affected our Converged Course offerings. It was however,a time for reflection. It was noted that another three years
to put our two researchquestions into context. First we will discuss the photo elicitation method. Then we will discussmodels for what the career journey of engineering education researchers might look like throughthe lens of Parker Palmer’s movement approach to change 7.Photo elicitation in qualitative researchResearch conducted on the use of photo elicitation as a data collection method speaks to thebenefit of using this approach to uncover hidden stories and or memories participants might notbe aware of 6. Since “photographs are artifacts of what people see and experience” 8(p1), photoelicitation use in reflective studies can provide rich information about deep underlyingperceptions or personal recollection of specific events. Hatten
science teachers’ integration of the engineering design process to improve science learning. c American Society for Engineering Education, 2016 Systematic Review of the Funds of Knowledge Framework in STEM EducationIntroductionFor over two decades, there have been significant and consistent calls to increase the quantity anddiversity of engineering graduates to not only support the workforce demand but also to improveengineering solutions to better reflect the demographics of the U.S. population.1–4 However, thecall to increase the diversity of engineering often has been centered on simply increasing thepercentages of underrepresented groups in engineering. Once these
Michael Moore32.MaterialsThe interface used is RStudio Version 0.99.491 licenced under the terms of version 3 of theGNU Affero General Public License. Furthermore, R 3.2.3 GUI 1.66 Mavericks build (7060),part of the Free Software Foundation’s GNU Project, is the selected environment forperforming this study.Data cleaningThe dataset for this study was a reflection of real-world data, so in order to a successful KDD,it was needed an arduous effort in the data cleaning process. Data cleaning seeks an unifiedlogical view of databases with issues such as encouraging a single naming convention orprovision of strategies for data handling such as outliers or missing data30. This stage includedto deal with extrem outliers and in order to reduce their
ownership of their courses. It was believed thatdeveloping this collaborative joint ownership, akin to a Community of Practice (COP) 8, wouldprovide a means for faculty to share common interests and passions for improving their coursesand then subsequently sharing knowledge and best practices to accelerate learning and change9.These smaller, course-centric communities (henceforth, called innovation COPs to reflect thelanguage used among the faculty in the program) were organized into a larger SIIP-widecommunity that sought to facilitate knowledge sharing across these innovation COPs. Whileeach innovation COP was composed of three to nine faculty members, SIIP as a whole hasengaged over 200 faculty members from 15 departments, creating a fairly rich