about the company’s expectations for the project.In a simulated “revise and resubmit” process, teams revised their proposals and submitted a finalversion to course instructors. All teams made extensive revisions. Table 1 shows the number andtypes of revisions made by each team. The increase in word count reflects the level of detailadded to the proposal, in response to feedback from reviewers. The least number of revisionswere “moves” (reorganization), possibly because the Proposal Design Guidelines outlined anddescribed the content of each section in detail. The number of insertions and deletions reflect themanner in which teams tended to work. Most teams revised section by section, deletingunnecessary or inappropriate information and
programs.Norwich University’s Architecture, Engineering, and Construction Management programs’ firsttwo full-scale house design and construction projects involved a solar powered lab and a solarpowered house. During these two projects, the various Architecture, Engineering, andConstruction Management programs began collaborating, integrating students from the variousdisciplines into a single project team. The Micro-House Related Design/Construction Projects,shown in Table 1, reflect Norwich University’s institutional support of experiential learning.Lessons learned from the design and construction of each project were used to refine the projectsfor subsequent years. Table 1: Norwich University Micro-House Related Design/Construction Projects
were measured before and after twoworkshops specifically designed to teach metacognitive awareness and teamwork. To put in anutshell, the integration of soft skill development into manufacturing simulations consists thefollowing steps: (1) students conducted a manufacturing simulation, (2) student soft skills weremeasured, (3) students attended soft skill development workshops, (4) students conducted moremanufacturing simulations using what they learned from the workshop, (5) student soft skillswere measured again, (6) student change in soft skills were compared and project evaluated, (7)researchers drew conclusions and reflect on the project. The following sections will discuss thesesteps in detail.3. Course and Project Components3.1
two suns, four different cultural groups with different resource constraints and industrial needs. Path Finding I Create a step-by-step instruction on drawing lines to create a quilt pattern on a n x n grid and identify similar structures in other teams’ quilt patterns. Path Finding II Use rotation, reflection, and loop to generate a more complex quilt pattern based on simpler base pattern. Marble Maze I Each team member creates a sub-structure allowing a marble to travel at least for n seconds in week 1 and the team puts all sub-structures together to make a super- structure in week 2. Marble Maze II Teams are broken up and now must
intelligent tutoring systems for engineeringapplications and embedding animations, simulations, and/or videos into future system designs tomake abstract concepts easier to grasp.AcknowledgmentThis material was supported by a National Science Foundation Advanced Technology EducationProgram grant (No. 1304843) and a gift from Rockwell Automation. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author and do notnecessarily reflect the views of the National Science Foundation or Rockwell Automation. QinboLi and Peng Bo’s programming and evaluation efforts in making this vision become reality.References[1] Graesser, A.C., M. W. Conley, and A. Olney, Intelligent tutoring systems. Washington, DC:American
will allow participants to integrate into theirdepartments and receive teaching assignments. Additional revisions are expected each yearbased on feedback and best practices to create the most effective orientation for the new facultyat AFIT.DisclaimerThe views expressed in this paper are those of the authors and do not reflect the official policy orposition of the United States Air Force, the Department of Defense, or the U.S. Government.References[1] R. M. Felder, “New STEM faculty support: Why aren’t we providing it?” Journal of STEMEducation, vol. 13, no. 5, pp 5-6, October-December, 2012.[2] J. Barlow and M. Antoniou, “Room for improvement: the experiences of new lecturers inhigher education,” Innovations in Education and Teaching
earlier literate documented as well. Given the nature ofthe mouse, the cards are the only way of capturing the algorithm outside the device, yet it is onlyused by participants to enter the program. As noted earlier, the preference, if a problem occurs,is to try again from scratch, so the participants generally used the cards only after beingreminded. Without revisiting the past plan, it seems less likely the novice would update thenotional machine based on traditional learning theory, as they spend no time reflecting on themistake. Yet, perhaps slower than if they were reflective, they do gradually come to understandthe controls and programming strategies for using the mouse. At times, adding a layer of designseems to initially hinder rather than
interdisciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, liberatory maker spaces, and a RED grant to increase pathways in ECE for the professional formation of engineers.Prof. Thomas Martin, Virginia Tech Tom Martin is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, with courtesy appointments in Computer Science and the School of Architecture + Design. He is the co-director of the Virginia Tech E-textiles Lab and the associate director of the Institute for Creativity, Arts, and Technology. He received his Ph.D. in Electrical and
buildingconnections and shared identities between and among stakeholders in a school or department ofengineering; this result suggests that a carefully developed assistant program may go a long wayto support diversity and inclusion efforts. Future research is needed to explore additionalstakeholder experiences with different variations of learning and teaching assistant programs,especially those at institutions with different cultural norms than those sampled for this initialstudy.AcknowledgementsSpecial thanks to the participants who agreed to be interviewed for this project and generouslygave their time and reflections. We would also like to give special thanks to the Louis StokesAlliance for Minority Participation (LSAMP) and the Bridge to Engineering
completed in preparationfor each class, as well as guiding questions for students to consider as they studied.Unfortunately, it was not possible to track the extent to which students engaged with the content.Students were required (via a participation grade) to submit responses to reflection questionsprior to class asking them to identify: i) the main concepts covered, and, ii) any specificquestions they would like addressed in class. Understanding of concepts covered online wasassessed in class using iClickers, with the remainder of class-time focusing on problem solving.3. Study Design Total enrolment for the course was approximately 1400 students in twelve lecture sectionsranging in size from 80–160 students, depending on program. Based on
forteaching and learning, CTL) to collaborate with departments and colleges in these studentretention efforts. This process of developing and sustaining collaborations between the CTL,department chairs, faculty members, administration, and other units in efforts to improve studentretention in STEM courses is grounded in educational change strategies and motivation theory.Using as starting points the four types of change strategies (disseminating curriculum andpedagogy, enacting policy, developing reflective teachers, and developing a shared vision) [6-7]and expectancy-value theory of motivation [8], the Center for Excellence in Teaching andLearning (CETL) at USI is leveraging its networks and programs to intentionally initiate andfacilitate
had an impact on writing competencies of engineeringundergraduate students.As an example, Teaching Writing in Engineering contained questions to gauge faculty’sperceptions of agency in their assignments – “I believe that there are opportunities in my course(s)for students to write about topics that interest them” [12], as well as a question with options toselect as many forms of writing faculty believed occurred in their course(s). “Writing in mycourse(s) is in the form of…” where options for reflection, homework, professionalcommunication, examinations, etc. are listed with definitions in a mouse-over component. Acomplete relation of variables, their definition, and questions are shown in Table 1. Table 1: Number of questions per
,catastrophes,injustices, and gender biases, movies and documentaries can be shown. Some examples includeErin Brockovich, A Civil Action, and Bhopal Express. The movies can be assigned and dividedbetween groups to watch on their own and present to the class or shown to the entire class atonce. The instructor can lead a discussion and analyze the movie with students to identify theissue, the consequences of the issue, and how the issue could have been prevented.3.3 Communication SkillsOral and written communication skills are incorporated into the curriculum through technicalreports, oral-presentations, and reflective essays. Strong communication skills are a necessity inthe field of engineering to share statistics, data, experimental findings, and
Davis et al., utilizing a 7-point scale in each ofthe 15 sections. The sections, illustrated in Figure 2, reflected the various stages of the designprocess, as well as administrative/project management components of engineering design. Inaddition to assigning each section a point value, instructors can choose from a number of generalcomments or input custom comments. This wide range of scores allows instructors to track studentprogress in each section throughout the 3-course sequence, addressing the criteria of applicabilityacross a wide range of students. By widening the scale and broadening expectations as studentsprogress from course to course, many stages of development can be accounted for [10]. Hence, toreflect increasing expectations
, the CC faculty attended 4 research seminars throughout the summer that focusedon the research being conducted by faculty on UCB campus in various areas. The CC facultyalso attended sessions by the leaders of the research topics (alternative energy, cyber security,wearable medical devices, green and sustainable manufacturing, and nanotechnology) that gavethem an overall view of current research goals and progress. The goal of hosting these seminarsis to describe real world problems being worked on, as well as providing access to leading-edgeresearch outside of their own primary laboratory.Beyond these seminars and workshops, CC faculty were asked to complete weekly homeworkassignments that asked them to reflect on their research progress and
developed using our game framework and game creator. Following the storyline, wedecide on the number of phases for this game; each phase carries its own set of question/answers/resourcesrepresenting a “chapter” of the entire game. For the storyline described above, we created a conspiracyboard with four phases: Image, Preserve, Analysis, and Report, to reflect our objectives. For each phase,we designed and created a sequence of questions in the format of multiple choice, short response, or uploadfiles. The correct answers and helpful resources were also decided. This sets the stage to create the gamemodule.3.2 Create a game module using the GUI-based game editorAs we mentioned earlier, our game framework uses XML to decouple the game implementation
. The paperdetails the impact of the project has on students, faculty, programs, and the department. Theseinclude strategies and co-curriculum activities that engage scholars and their fellow students,enhance their learning experience on campus, and increase their retention and timely graduationrate. In addition, reflecting on what we did, what we achieved, and the lessons we learned, weshare our categorization of the decisions and choices we have to make while preparing andwriting a successful project proposal. We also detail our experience adapting established bestpractices in STEM higher education community to an urban public large university with adiversified population of students, faculty, and staff while implementing the program.1
prerequisite knowledge whichis difficult to accommodate with the limited amount of class time.The advancement of technologies provides an opportunity to help on these challenges. It isestimated that there are over 7 billion mobile phone subscriptions worldwide [1]. Althoughmobile phone subscription doesn’t necessarily reflect the number of mobile phone owners sincethere are multiple mobile subscriptions for individual people and for businesses, it does reflectthe prevalent usage of mobile devices. These devices have prolific use in our everyday life forcommunication, access of information, and entertainment. Besides, mobile devices are beginningto be used in all levels of education because of their easy accessibility and increase incomputational power
of the interview [12]. We then ask follow-upand probing questions as we enter the conversation phase of the interview [12]. Finally, we askedsemi-structured interview questions if the answers failed to emerge naturally during the earlierphases of the interview. These included questions about their perceived experiences making,engineering, and, in particular, navigating their engineering program and university makerspaceas a student from an URG. Final questions ask the student to reflect on and makerecommendations for improving the makerspace and/or the engineering program (see Appendixfor our interview protocol).Throughout this project, we have struggled with how to ask students about their URG status andhow that status impacts them as an
in formalclassroom settings and in informal settings. This theoretical perspective views knowledgeconstruction as arising conceptually through the dynamic construction, re-construction, andinterpretation within a social context. Furthermore, knowledge is socially reproduced andlearning takes place through participation in meaningful activities that are part of a community ofpractice [3], participation that is mutually constituted through and reflects our thinking anddiscourse skills [5].In this study, both teacher and student participants learned as active members of the school-university math and science partnership. Participation in communities of practice has been foundto be beneficial for both teacher and student learning [6], [7]. In
roles and areas of leadership. These roles will be based off of each individual’s top five strengths and self identified (sic) weaknesses. With this information, each person will be given an appropriate role. Based on the role the member is given, the member is expected to obtain this role for the entirety of the semester.”One-Minute EngineerIn the case of the One-Minute Engineer assignment, students were explicitly asked to discuss atleast one of their Strengths when reflecting on why they want to pursue engineering. "One benefit I have experienced of having input as a strength, is my ability to remember facts, definitions, and methods of doing tasks. I am able to recall necessary information, apply it
to the Course Design for Fall 2018Overall, from student and faculty responses, proposed improvements to the course will focus onthree main areas: improving consistency so that students and faculty in different sections do nothave widely varied experiences, continuing to encourage innovation, creativity, and thoughtful,holistic design, and tackling the corresponding lecture period to streamline the entire course.These main areas of improvement reflect the best practices and lessons learned from faculty andstudent responses. Minor improvements will be made to Phases 1 and 4 while major improvementswill be made to Phases 2 and 3. Due to the major changes and consolidation of various parts ofthe course, the terminology of Phase 1-4 is removed
undergraduate engineering- or science-based computing major? Analysis isexpected to reveal the experiences and stakeholders that impact their decisions to enroll in acomputing major and persist into the workforce.BackgroundWith global competitiveness and homeland security driving the need to increase United Statesparticipation in the science, technology, engineering and mathematics (STEM) workforce [4].In 2013, the National Center for Women and Information Technology (NCWIT) reported thatonly 26% of jobs in computing were held by women; African American women represented only3% of the computing workforce [5]. This reflects the need for accessible co-curricularprogramming in the southern region of the United States (US), particularly for females and
overseas portion of their trip. Afterreturning from Germany, students meet for half a day to discuss and reflect on their learningexperiences abroad. The overseas component of the course was designed so that workingstudents could participate in a study abroad program. The GO GREEN program was specificallydesigned to be approximately one week abroad and at a low cost so that working students couldafford the program and have time to attend. The average cost for the program, not includingtuition and fees, is approximately $2,500. The classes at the university are held on Saturdays toavoid conflicts with other classes or normal work schedules. In Germany, students visit, tour andreceive lectures on sustainable practices at German companies, such as
/News/OnlineNewsRoom/NewsReleases/tabid/6596/articleid/1216/ohi o-epa-issues-2017-encouraging-environmental-excellence-awards.aspx ● Write a 3-4-page report including the following sections: o Summary of each article in your own words. o Reflection ▪ Your impressions, potential impact of this news / development. ▪ Potential application of the efforts highlighted in your articles to other industries or to society in general. o Consider the following scenario: You are a major stockholder in a company whose stock dropped after posting earnings of only $1.20 per share. In her quarterly report, the CEO acknowledged that earnings would have been $2.50
well as those who may already hold a college degree andseek training aligned with this viable career path. To prepare the targeted population to fulfillthese needs, the program will focus on applying theories and hands-on skills in the developmentof marketable products, efficient processes, and designs that reflect an awareness of howtechnology meets the needs of society today and in the future. Further, the AAS.MET programwill provide extensive classroom study along with laboratory explorations. The degree is beingdeveloped based on the Engineering Technology Accreditation Commission (ETAC) of theAccreditation Board for Engineering and Technology, Inc. (ABET) accreditation standards. Oneof the long term goals of the program is to obtain ABET
concluding summary is required that includes the following: 1. Context — provide background justifying why the experiment was undertaken, 2. Purpose — what they wished to accomplish with the lab (purpose must be testable!), 3. Key Data — summary of the most important data from the experiment, 4. Take-away — states their conclusion based on the data and what the key outcome was.A major emphasis is placed on getting students to reflect on the meaning of their results and how tocommunicate them in a concise but complete manner; in short, developing the professional habitsof a practicing engineer. The following briefly summarizes the documentation requirements inseveral of my courses.Analog Electronics I and Analog Electronics II are required
assignmentsmay allow for assessments that can reflect a student’s work is a convincing demonstration of ahigher-level of learning (Burrow, et.al, 2001). By mixing voluntary problems that are morecomplex with simpler ones, students who attempt those challenges may feel a stronger sense ofaccomplishment and reward.Anecdotally, it is sometimes the experience of instructors that if a particular task is given as arequirement, (say the analysis of a 10-state process cycle in a thermodynamics course) that theassignment of that task is met with routine boredom. But assign the same task as an extra creditassignment and suddenly the task becomes an exciting challenge. Of course, this isn’t the attitudeof all students in a course, but it does beg the question of
self-reflection withopen and closed questions is required as part of the program assessment. As part of the formativeprocess, the program evaluator summarizes evaluation results, student progress, observations,and participation data to build an assessment report of the summer activity. Accordingly, the nextsection describes the assessment instruments and results for the various pre-college programcomponents.Evaluation StrategiesAn integral part of the pre-college program is the documentation and tracking of studentparticipants. As outlined in Figure 1, information from schools and participants is stored in theCenter’s management system, designed to record the participant’s involvement, including visitsto schools and summer program
that the students could see the failings of iLabs more clearly after a year.Moreover, students mentioned that they could not actually “see” the system being tested, as therewas a schematic interface. A recall test was also administered a year after, where students wereasked to recall the laboratory procedures. The students were randomly assigned to two groups.One group was asked to reflect back on the traditional laboratories, while the other was asked toreflect back on iLabs. No difference in test scores was found between the two groups, andtherefore it was concluded that iLabs are as effective, or ineffective, as traditional laboratories[32].3.1.3 Examples of virtual labsVirtual laboratories have been developed for many engineering