laboratory”. Thisfocus put the classroom as the primary zone of impact and Scholars’ studies followed a“scholarship of merit” model (e.g., a traditional model of conducting research). For the secondISEE, the theme expanded the zone of impact to the program or college level (“campus as lab”).For this cycle, a “scholarship of impact” was the central format. “Impact studies” emphasize aprocess of bridging research and practice and involve using research findings to develop animpact plan at the program level. Impact plans included information on potential impactnetworks or pathways, as well as the needs and communication practices of people within thosenetworks. For the third cycle, the theme is “nation as lab,” reflecting an interest at the hostschool
uniquesupervisors from 22 distinct academic departments, and across theoretical, clinical, design andlaboratory settings, demonstrating a vast breadth of project scope. Outside of the student-supervisor relationship, students are provided with assignment guidelines, workshops, andrubrics to scaffold the documentation and communication of the research, which includes fourdeliverables: a proposal, an interim report, presentation and final research report. The statedlearning objectives, taken from the course syllabus, are as follows: • Write a strong research proposal, identifying and developing a gap in a science/engineering related field, and develop a plan/method for addressing that gap • Conduct and write a literature review, summarizing the state
categories were assessed using hours per week, such ascommunity hours, supervised hours, and special access hours. It also included focus and plans toexpand, a unique look at a makerspace's growth.Compared to existing literature, the goal of the proposed novel taxonomy is not to be used as adirect, objective ranking system. However, the proposed dimensions and categories would leadto the creation of a well-defined vocabulary to help identify the commonality and differencesacross various makerspaces. For example, research focusing on a makerspaces' contributions inthe development of leadership qualities, aspects of the culture category would likely be weightedhigher than others. A different research effort, such as the impact on local
realized the distinctionsbetween theory and practice. Therefore, they demonstrated an awareness to connect theory topractice. For example, they would set extra time aside just in case for unexpected problems infeasibility tests, taking into account the gap between theory and practice. What’s more, theexperience of project-based learning can help students know more about the process of research.Based on these experiences, some students started to make plans for their future. Students reflecton the meaning of their major and the emphasis of their research orientation. Some students wonderabout whether they are going to receive further education or not. The thoughts about future plansreflected that students started to undertake major responsibilities
for other activities.The second major objective of the TExT is to provide learning activities to be used in the class-room along with detailed lesson plans describing how to conduct these activities. To the maxi-mum extent possible, this includes providing the resources necessary for conducting the in-classactivity. In cases where the resources cannot be provided, the lesson plan includes a list of all theitems the instructor will need in class along with an indication of those that must be obtainedfrom a source external to the TExT. The key points of this objective are to ensure (a) that eachactivity is well designed as a student learning experience, (b) that implementation of each activ-ity is straightforward and time-efficient and (c) that
participation (e.g., as subjects in research studies) with an uncertain value proposition.Research method innovations are needed to reduce barriers to access, minimize risks and costs toparticipants, and more quickly generate actionable insights for partner firms.Given the preceding discussion of trends and challenges, we plan to carry out and investigate theefficacy of multi-institutional, multi-sites field research using novel methods such as agileethnography, trace ethnography, and network ethnography. These methods are new andevolving, and thus have scarcely been used to study engineering practice. Yet they appear verypromising given their potential to generate research findings much more rapidly and with a
, or study. Role identities are contextually specific and as such, we haveformulated questions for engineering, science, or computer science consistent with previouswork in mathematics, science, and engineering [1], [13], [14]. Students will choose the field ofstudy most relevant to them to answer these questions, as ERC's are interdisciplinary and mayinvolve students from across STEM solving engineering programs. Third, items measuringstudent pathways and sustained interest were developed for this study from The ERC EvaluationConsortium's Multi Engineering Research Center Instrument Inventory [30] to assess thestudent's willingness to continue their STEM paths, such as the pursuit of additional degrees andwhich career plans they might
thinking involves considering holistic approaches toproblem-solving that understand and analyze the complexity of various elements and theirinterrelationships in the overall ecosystem (McKenna, Froyd, & Litzinger, 2014). Strategicthinking is the ability to create a plan of action to achieve the desired vision and act upon theother ways of thinking (Warren et al., 2014).Guided by this framework, the research question addressed by the study is: What is the factor structure that captures futures, values, systems, and strategic thinking associated with interdisciplinary engineering education research?Research MethodsInstrument DevelopmentThe survey instrument (see Appendix) was developed through iterative construction andvalidation
). He received a Ph.D. in civil engineering from Virginia Tech in 1995. His areas of research include engineering education, international collaboration, and hydrology & water resources.Tanner Bateman, Virginia Tech Tanner Bateman is a graduate student in Industrial Organizational Psychology at Virginia Tech. His masters thesis examines the exploration of a motivation traits framework. Throughout his tenure at Virginia Tech, Tanner has taught Introduction to Psychology and worked in the Institutional Research and Planning Analysis Office. In addition, he currently serves as graduate assistant to the Director of Academic Assessment
mathematics, a broad notion ofmathematical thinking has been adopted for this study. Rooted in Alan Schoenfeld’sdescription of five aspects of mathematical thinking 4, this study not only examines themathematical content knowledge students use, but also problem solving strategies, effectiveuse of one’s resources, mathematical beliefs and affects, and mathematical practices.Shoenfeld's discussion is mostly based on a cognitive perspective. When referring to the use ofresources, Schoenfeld meant the metacognitive processes, such as planning and monitoring.However, in order to understand how engineers use mathematics, we must also consider theproblem from a situated perspective in the collaborative context of teammates, teachers, etc. Tounderstand
individual. When comparing the ethical decision-making of engineering andhumanities students, the authors rely on a modified form of the Theory of Planned Behavior5,6 asa model of the decision-making process used by students when forming an intention to cheat.The purpose of this study, therefore, is to measure the predictive validity of the modified Theoryof Planned Behavior as a model of cheating behavior and the intention to cheat.Theory of Planned BehaviorTo provide a theoretical foundation for this study, the authors chose a modified form of Ajzen’sTheory of Planned Behavior (TPB)5. The modified model includes the explicit variables of theTPB (shown inside the dashed box in Figure 1), plus a variable describing past behavior and anadditional
decide on the subject matter to cover inthe PLTL workshops. The two selected subjects were Resume Building and Creation of E-portfolios. They had already received a training on resume building and the creation of e-portfolios, and the goal was to help other LIATS to complete theirs. Two planning sessions wereheld previous to each session to decide on logistics, contents, and practice. Then all the studentsparticipating in the PEARLS Program were equally distributed among the ten peer leaders.Training the leaders was done using a cognitive apprenticeship framework, as it works well withPLTL [13, 14]. PLTL is rooted in Vygotsky’s zone of proximal development [2]. Here the PLTLcoordinator models behaviors for the PLTL leader to follow, providing
formulating group and individualaction plans. The paper reports self-assessment and team-assessment using the instrument. The samplesize consists of 86 software engineering students of a junior class of a computer engineeringundergraduate program. The analysis includes “egoless” behavior of the class based on self-assessmentand team-assessment, as well as their correlation with determinants like gender, semester and cumulativegrade point averages (SGPA and CGPA).The next section discusses the background behind the problem of productivity in software organizationsfollowed by the research design of our experiment leading to analysis of the results and ending withconcluding remarks.BackgroundIn 1993, Potts claimed that ‘all the real problems in software
conducts consulting projects and professional development seminars for local industry on topics including forecasting, inven- tory control, production planning, project management, transportation logistics, procurement, and supply chain management.Dr. Leslie Pagliari, East Carolina University Dr. Leslie Pagliari serves as Associate Dean for Academic Affairs in the College of Engineering and Technology and Associate Professor in the Department of Technology Systems. Her research interests center on STEM initiatives, leadership, global supply chain issues, and new technologies in the distribu- tion and logistics sector. She was one of three professors in the United States recognized in an Inbound Logistics Article
. Three engineering-education collaborators were interviewed in dyads tounderstand conceptualizations of futures, values, systems, and strategic thinking in relation totheir joint research project(s). All three dyads provided specific examples of different ways ofthinking from their shared research efforts. Preliminary findings suggest that a ‘ways of thinking’framework could provide a useful guideline for engineering and education faculty planning tocollaborate for interdisciplinary research as well as the overall EER community.OverviewThe world today faces complex problems ranging from climate change to health issues.Numerous calls by prominent organizations have been made in light of these global,sociotechnical problems to transform
coding descriptors, for example “planning maintenance” and“developing technical standards”. There was little or no supporting evidence for somedescriptors, and others had to be merged when it became clear that the evidence could notdistinguish one from another. For example, separate descriptors for “marketing”, “assistingclients develop projects”, and “researching client needs” were merged into a single descriptor“influencing clients”.Several unexpected aspects of engineering practice emerged from the interview data. By farthe most significant was technical coordination. There were three questions in the interviewto explore supervision relationships (with superiors, contractors and subordinates). The initialreview of responses led to a single
available for PSUs or USUs. Stratum caneasily be developed and employed with minimum input allowing a researcher to consider ormitigate secondary variables. Consequently, if a researcher decides that additional or fewer strataare needed, the methodology proposed can be easily generalized to increase or limit theprobability of a person or institution being included as an USU.Multistage Sampling has both economic and statistical benefits. Simple random sampling is bothcostly when implemented on a national scale and does not guarantee an accurate representationof the population. Comparatively, multistage sampling designs are considered more costeffective without sacrificing size because multistage sampling plans are designed to capturesubpopulations
rubric marking was conducted by raters whose training addressed the specificcontext and content of course assignments. Raters were undergraduate students and graduatestudents, with faculty called on for subject area expertise when necessary. The raters wereengaged longitudinally through the study and where possible markers used across disciplines toprovide consistency of ratings. This stresses the importance of having a well-planned, well-supported process to rate artefacts using the VALUE rubrics and an environment whichfacilitates rater discussion and interaction.Participants and ResultsParticipants consented to participate in standardized tests and to have samples of their coursework scored by trained graders using VALUE rubrics. The
as a resource for inquiry anddesign, rather than as a challenge 20, 21. The three authors of this paper were the co-facilitators ofthe CBE Institute.The institute included the following phases: • Learn - Week 1 (Three 2.5-hour sessions): During the learn “Learn” phase participating volunteers were engaged in learning through exploration of the engineering design process. They designed and tested prototype solutions to two engineering design problems posed by the institute instructors. • Plan - Week 2 (Three 1- hour sessions): During the “Plan” phase the participants worked in pairs to plan an engineering module for elementary students. The problems had been previously
, including the mentors’ offices. Our initialattempt failed to consider the nuances of lab collaborative work resulting in the observer missingmany of the interactions.This epic failure helped the research team to take the nature of lab experiments into account fordesigning our future research plan. For example, a timeline is needed in advance of the REUprogram. The frequency of observation needs to be more frequent (e.g., once per day) rather thanonce per week to detect changes. All types of interactions, including face-to-face/verbalinteractions and distance/non-verbal interactions should be observed.Additional InfluencersThe settings for these observations are important to note when situating the research. This isimportant even when the program is
demonstrate, calculate, show, using required skills or knowledge solve, examine, modify Analysis Seeing patterns, organisation of parts, Question cues: analyse, identification of components explain, compare, order Synthesis Use old ideas to create new ones, relate Question cues: modify, knowledge from several areas, predict, draw design, formulate, rearrange, conclusions, generalise from given facts plan, create / combine Evaluation Assess value of theories, make choices based Question cues: assess, decide, on reasoned argument, verify value of
undergraduate engineering students about their future career plans?RQ 2: How do engineering students who are “career certain” differ from those who expresssome level of uncertainty when thinking about their professional futures?In this study, career certainty is defined as “the degree to which individuals feel confident, ordecided, about their occupational plans” (Hartung, 1995, p. 1). Thereby, “career certain”students are those students with the highest degree of confidence, or decidedness about theiroccupational plans.2. Theoretical BackgroundExisting literature describes the difference between career certain and uncertain students,considering various variables (Guay et al., 2003), including a student’s backgroundcharacteristics. The results suggest
academically when they regulate their learning19–22. SRL has beenoperationalized to measure aspects of students’ metacognition, motivation, and behaviors relatedto their academic self-regulation, such as the Self-Regulated Learning Interview Scale (SRLIS)developed by Zimmerman and Martinez-Pons19. SRLIS, a semi-structured interview protocolfocused on “hypothetical learning contexts”23 based on research with K-12 students comprises 14themes19,20, including self-evaluation, organizing and transforming, goal-setting and planning,seeking information, keeping records and monitoring, environmental structuring, self-consequences, rehearsing and memorizing, seeking social assistance (peers, teachers, adults),and reviewing records (notes, books, tests).Prior
the classroom. Further, there are no five or fewer silver bullets. Systemic change requireschange across numerous elements in the system. Recommendations presented in two ASEEreports7,8 addressed who and what needs to change, and now it is critical that the engineeringeducation research community conduct research to support change agents as they developeffective plans to make these changes. The purpose of our work-in-progress paper is to offersample research questions to illustrate potentially productive research directions for improvingadaptation of evidence-based teaching approaches to improve student learning, which could beaddressed by the engineering education community. Based on results of a Delphi study, we offera framework for
through a series of readings and discussions. He currently serves as the Co-chair of a Strategic Planning initiative entitled ”Grand Challenge Design” to introduce multidisciplinary design experiences in the College of Engineering.Dr. Marc H. Williams, Purdue University, West LafayetteMs. Carolyn Percifield, Purdue University College of EngineeringDr. Monica E. Cardella, Purdue University, West LafayetteDr. Michael T. Harris, Purdue University, West Lafayette Michael Harris is the Associate Dean for Undergraduate Education and professor of chemical engineering at Purdue University. He serves as Program Chair for the Minorities in Engineering Division of ASEE for the 2011 and 2012. He is a Fellow of the American
the undergraduates and thegraduates were assigned one to two teachers to assist throughout the school year inimplementing activities and serving as resources to curriculum in the STEM fields.The roles and responsibilities of the undergraduates and the graduate students variedslightly. Although both the graduate and undergraduate fellows spent 10 hours in theclassroom, the undergraduates spent additional 5 hours for developing curriculum andactivities, whereas the graduates spent 10 additional hours. The graduate fellows werealso required to meet with their assigned undergraduate fellows on a biweekly basis indiscussing activities and plans that they were implementing in the classroom. Everyactivity was required to be recorded in a specified
gained in creating and institutionalizing theLeadership Development Minor.15The Entrepreneurship Minor began as largely a “top down” approach to change, with those inleadership positions conceiving the vision and plan and then implementing them. In crafting asuccessful NSF Action Agenda effort, the opposite approach was used in which a vision andstrategy were built from the “bottom up.” Shortly after the formation of the Faculty AdvisoryBoard of the Leonhard Center, the Director began a strategic planning process with the FacultyAdvisory Board around the following question: “If you could make any changes you wished,what would you do to increase the success of your students in the workplace?” From thisdiscussion grew two major themes: (1) have
accompanymany of the courses in engineering programs, as well as the long prerequisite chains that tend toexist in these curricula.To gain a better understanding of the aforementioned factors, consider the electrical engineeringdegree plan shown in Figure 1, offered by a university in the southwest of the United States that hasa high curricular complexity score. The analysis provided in this figure was created by utilizingthe Curricular Analytics Toolbox, an open source framework created for the purpose of analyzinguniversity curricula.6 The complexity associated with a given course c is a function of the numberof courses that are “blocked” by c (i.e., the number of courses that cannot be attempted until cis successfully completed), and the longest
Contemplation Contemplation I have considered using the instructional practice but have not taken any steps to implement it Preparation Preparation I am currently developing plans/curriculum to implement the instructional practice in my course Action Action I will implement the instructional practice for the first time in my course this upcoming term Maintenance Maintenance I have been regularly using and modifying the instructional practice in my course Termination Standardized
: Gathering the DataIntroductionFor the past several years, faculty at the University of Texas at Austin have been developingweb-based educational modules designed to help Engineering faculty integrate the teaching ofethics into their existing courses. These undergraduate educational modules, known collectivelyas PRiME (Professional Responsibility Modules in Engineering), cover topics such asProfessional Ethics, Ethical Leadership, and Credibility of Sources and are already being used byfaculty at UT and elsewhere: http://www.engr.utexas.edu/ethics/primeModules.cfm. Inspired bythe success of these undergraduate modules, several faculty have outlined a plan to expand theeducational offerings by creating, with the help of a grant from the National