) helpful when solving other problems in science, technology, engineering, and math (STEM) subjects in school (Table 1.). Table 1. Pre and Post Robotics Camp Surveys (n=510) Scale for Surveys: 1=Not at all 2= A Little 3= Somewhat 4= Very 5= ExtremelyPRE CAMP SURVEY QUESTIONS Question 1 2 3 4 5 Total6. Please rate your awareness of career options inadvanced manufacturing. 6 53 130 173 114 40 5107. Please rate your interest in a career in advancedmanufacturing. 7 37 131 163 123 56 5108. Please rate how realistic you feel careers in
problemsolving. Recommendations include interviewer training on how to ask follow-up questions tomotivation-related utterances.IntroductionDespite considerable research in engineering education, there is still much to uncover withregard to how students learn, what they learn, and why they learn it. While there is a wealth ofdata on cognition, metacognition, and teaching strategies (all examples of the how), andmisconceptions, conceptual change, and curriculum development (all examples of the what),motivation (example of the why) still remains understudied by comparison. Epistemologicallysound qualitative research approaches to study complex learning and motivation interactions arelikewise underrepresented in engineering education research 1. As part of
lives, theopportunities for careers are expanding rapidly. A major challenge of this field is the trainingand education of a new generation of skilled workers. This paper studies different approachesthat are used by different institutions of higher education to integrate nanotechnology conceptsinto their curriculum.IntroductionNanotechnology is the science, engineering, and technology that deals with various structures ofmatter that have dimensions on the order of a billionth of a meter. Nanotechnology is the abilityto observe, manipulate, measure, and manufacture things at the nanoscale, which is about 1 to100 nanometers. While the word nanotechnology is new and was introduced in the late 1970s,the existence of functional devices and
further engagestudents in their coursework and to introduce freshman to some of the basic concepts ofengineering. A form of “student-centered education” where the instructor acts as a guide to theexperiential learning process is preferred over the traditional class lecture format according toSpencer & Mehler[10]. Hixson[4] refer to this as instructor “role-modeling,” where the instructoradvises and nudges the students through a thought process. The decisions are ultimately made bythe students and they are the owners of their solution. The research presented by Ambrose[1]similarly advocates the use of experiential learning opportunities. To better provide students withtimely feedback, the in-class methods of peer instruction, case studies, and
assistance to other sites using the materials. An outlineof the CBI challenge and how the challenge supported course content for the systems thinkingand water science courses are shown in Tables 1 and 2. The CBI challenges for the other coursesare listed in Table 3. The computer science was not completed and is currently underdevelopment for implementation in 2015.Table 1: Challenge and Outline of Systems Thinking Course Systems Thinking Challenge: Model and build a functional low temperature difference Stirling engine from everyday household materials Weekly Module Content Connection to CBI Challenge 1. Systems Introduction and The term system is introduced to students in the context of Basic Theory a
formasked about instructor and faculty members’ experiences teaching ethics and what resources andtools they have or would find valuable. Initial results from this request suggest that instructorsand faculty find case studies to be the most useful item for teaching ethics (see Figure 1 in theAppendix), and that a simple and straightforward contribution process would encourage them tocontribute materials (see Figure 2). The leadership team will be working to get more feedbackfrom faculty and instructors in the sciences, because engineering was over represented in theresponses.To get a better idea of the OEC’s existing audiences, staff also created and posted an audiencequestionnaire on the OEC. This questionnaire asked about people’s discipline
team cannot be included.Highlights of each semester will be provided in order to enable a comparisonacross the teams. As shown in Table 1, during the first semester studentsconducted an in-depth literature review of each of the topics. Based on theirfindings and interest, two topics were selected for use: Acid Mine Drainage(AMD) and Flowback water from hydraulic fracking (Fracking). The AMD teamwas comprised of two biology, one mathematic, one civil engineering, twochemical engineering, and two electrical engineering students. The fracking teamcontained: one biology, one chemistry, one civil engineering, two computerengineering, and one mathematics undergraduate. Both teams had all of therequisite skills and background to complete the
. Page 26.1665.1 c American Society for Engineering Education, 2015Using Graphical Data Presentation Techniques to Improve Student Learning, Program Assessment, and TeachingAbstractPrior to 1997, ABET evaluators focused on inputs to engineering education. Responding to afour decade trend in quality management systems used in manufacturing and service industries,ABET began measuring outputs instead, and focused on continuous improvement. Students,professors, program coordinators, and department chairs must answer three questions: [1] whatare we doing well, [2] what are we not doing well, and [3] how do we improve? In some cases,we can use graphical data presentation techniques to answer these
rising and the need for flexibility at theforefront, the professors decided it was time to embrace the task of establishing an online course.This enrollment trend for the course is outlined in Figure 1 where data from the last five years isreflected. It can be seen that the enrollment is trending upwards, and this continued growthovercame the resource capabilities of the university for presenting this course in a single setting.The facilities available allowed for enrollments of 330 in the fall semester and 216 for the springsemester. Markers are shown where separate offerings were introduced that allowed foradditional increases. Five Year Enrollment Trend 450
easy-to-use tool7. Since its release, MS project hasbeen very popular in the construction industry due to its ease of use, however it has yet tobecome the number one PMS7,12-13. MS Project also gives the user full control with the rightblend of usability and flexibility. One key advantage of the MS Project PMS is its full integrationwith the Microsoft Office family, which makes reporting very easy. However, MS Project is stillused only by about a quarter of the construction industry, as shown in Figure 1. Others, 19% MS Primavera, Project
research labs, working on commercialproduct ideas, or designing equipment for undergraduate teaching labs. This investigation isrestricted to projects related to teaching laboratories. Capstone teams are particularly valuable fordeveloping equipment for labs that are small, for elective courses, and for courses that need a Page 26.1414.3hands on component without having a physical lab space. Since 1995 there have been 14different project teams that have been tasked with designing equipment and experiments for theteaching laboratories, including 3 projects that are currently underway. These projects, listed inTable 1 below, have varied from
capstone design, including their experiences with mentors, thechallenges they faced, their beliefs about what they learned, and their perceived level ofpreparation for the future. Interviews were audio recorded, transcribed verbatim, and analyzedusing an open coding process.Preliminary findings suggest that students perceive a wide range of both technical andprofessional learning gains, many of which align with intended course outcomes. Overall, sixsalient themes emerged in students’ discussion of their learning: 1) development of anengineering identity; 2) knowledge of the design process; 3) connections to the “real world”; 4)project management; 5) self-directed learning; and 6) teamwork skills. While several of theseoutcomes intersect with those
practices.Pre-Test Results: Our analysis revealed that before the teachers (N = 347) entered the i-STEMprofessional development offering they had very limited knowledge of core practices. When asked to listcore practices some responded with answers such as, “I have no knowledge of this.” and “Givebackground on rockets, watching videos, building rockets, discuss how and why they flew the farthest,redo and re-fly.” and “Not sure what you mean by "practices."” In contrast, when asked to rate their levelsof knowledge of the math practices (on a scale of 1 – 10) the average rating was 5.67 (SD = 2.21) andknowledge of science/engineering practices was 2.62 (SD = 2.00). Responses indicated that the teachersrated their knowledge as moderate in math and low in
theparticipants. Variety measures the size of the solution space spanned during the conceptgeneration process.Because problems can vary from one to another, the metrics were equated using the LinearEquating equation from ETS 34. By making the problems equivalent, the results from differentproblems become comparable.Experimental MethodsLongitudinal StudyThe four-year longitudinal experiment examines how the design self-efficacy and creativity ofmechanical engineering students changes over time 1. The experiment lasted from Spring 2011 toSpring 2014. Both the design self-efficacy and creativity studies have two separate pieces:within-subjects and between-groups data. The within-subjects study compares the results ofstudents who generated solutions for the
," students will havecreated a tangible artifact, which represents the knowledge acquired during the activity.Students were supported through a four-stage process as they 1) conceived of the taskthey would like a robot to perform, 2) developed the steps needed for the task to beperformed, 3) decided how to implement the required steps, and 4) assessed whether theintended aims were achieved. At each stage of the process, the students were assisted inre-evaluating their goals. In this paper, we present a report of our participation in twoDrawing with Robots events. This experience report summarizes the design ofthe activity, the lessons learned in its execution and a description of the engineering skillstaught during these sessions. We found that the
school STEM and supporting teacher professional development related to engineering education. His research interests include engineering education, design thinking and teaching failure. c American Society for Engineering Education, 2016 Integrating Science and Engineering Curriculum in Elementary Classrooms Engineering is one of the pillars of STEM education, and is an explicit focus inthe Next Generation Science Standards (NGSS)1. The NGSS includes eight scienceand engineering practices central to both disciplines and extremely significant to studentinvestigations. Engineering is also included as a key theme in the NGSS’s DisciplinaryCore Ideas, thus
Liang Hong1 Shiwen Mao2 1 Department of Electrical and Computer Engineering, Tennessee State University, 3500 John A Merritt Blvd, Nashville TN, 37209, lhong@tnstate.edu 2 Department of Electrical and Computer Engineering, Auburn University, 200 Broun Hall, Auburn University, Auburn AL, 36849, smao@ieee.orgAbstract: Software-defined radio (SDR) and transmit beamforming are two key techniques fornext-generation wireless communications. In order to blaze a path to introduce these highdemand advanced techniques to future entry-level communication engineers, an educationalmodule was developed with well-defined objectives, learning outcomes, and assessment rubrics.This
spacing between the rollers and the actual sizes of thepill. The spacing and size of the rollers used for the design were determined by experimentation, as well asresearch. According to a FDA study, the recommended pill size is not to exceed 17mm in its largestdimension5. Given that this is an extreme we spaced the rollers 15mm apart to pass what we felt was aslightly larger than average pill. Additionally, the flexibility of the sponge was taken into account, as theshaft design is 3mm and the sponge 7.5 mm in diameter. This allows for an additional 1 mm or 2mm to besqueezed out of the roller allowing a 17mm pill to pass. To prevent any additional medication from passingthrough the rollers, as soon as a pill passes a sensor, the rollers would
orunfolding.1 While there are distinct skills under the broader category of spatial cognition, anindividual that is a high achiever in one is often a high achiever in the other. The key importanceof the distinction is in how it informs instruction regarding spatial cognition. An individual’s “spatial ability not only plays a unique role in assimilating and utilizingpreexisting knowledge, but also plays a unique role in developing new knowledge.”2 A key factorin spatial reasoning is the mental manipulation of objects or, more strictly, the manipulation of themental image of an object that has been viewed or imagined. During this mental manipulationpeople adjust the iconic image in their mind as the external object changes. The neural control
professionals, engineering has far fewer explicitconnections to SJ.1 Research suggests the exclusion of SJ is not merely related to engineeringbeing a “technical” profession. Instead, engineering ideologies2 and mindsets in engineering3perpetuate the invisibility of SJ inside engineering education. Of the three primary componentsof the engineering curriculum—courses in the engineering sciences, engineering design, andHumanities and Social Sciences (HSS)—the engineering sciences have been critiqued for theirexclusive, narrow technical focus,4 and engineering design for not making SJ more visible.5While the engineering sciences often exclude inherent social and SJ dimensions and focuslargely or exclusively on technical dimensions, HSS courses for
). Emanuel also works closely with Epicenter’s Fostering Innovative Generations Studies (FIGS) research group and the Designing Education Lab at Stanford Univ. He lives in Portland, Ore.Dr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering and the Director of ePortfolio Initiatives in the Office of the Registrar at Stanford University. She is also a member of the research team in the National Center for Engineering Pathways to Innovation (Epicenter). Chen earned her undergraduate degree from UCLA and her Ph.D. in Communication with a minor in Psychology from Stanford University in 1998. Her current research interests include: 1
, I’m mechanical engineering” to “we’reengineering.”Primarily, two parallel case studies are presented for comparison: 1 – Hyperboreans; Amultidisciplinary team which has an accepted entry into the Hyperloop Challenge, and consists ofstudents from civil (1), computer (1), electrical (2), and mechanical (3) engineering. The majorityof the students are participating because they are passionate about the project and only expectacademic compensation in the form of additional credits that show up as invaluable experience ona transcript and resume, but do not count directly toward a degree. 2 – University of Hawai‘iDrone Technology (UHDT); A VIP project involving 23 students: computer (3), electrical (6),mechanical (11), and pre-engineering (3
Society of India. He is the editor-in-chiefof the Journal of STEM Education: Innovations and Research c American Society for Engineering Education, 2016 Nanotechnology Solutions to Engineering Grand ChallengesAbstractThis research paper describes the implementation of educational modules that use the NationalAcademy of Engineering’s (NAE’s) Grand Challenges as a framework for teaching engineeringfreshmen about nanotechnology and the societal importance of engineering. The introductorymodule includes multimedia presentations and activities to introduce students to EngineeringGrand Challenges and nanotechnology. Modules on specific Grand Challenges include 1) adiscussion of the ‘current state of the art’ for a
from the robust FruityWifi package. Wireshark filters, captures, andanalyzes network packets, such as hypertext transfer protocol secure (HTTPS) requests. SSLstripstrips the secure connection and convert HTTPS to hypertext transfer protocol (HTTP), gainingaccess to sensitive information such as login credentials. This simple to implement yet powerfulproject, demonstrates the ease of hiding and discreetly deploying a Raspberry Pi on a vulnerablewireless network to sniff network packets that is considered protected behind firewalls, whilemaintaining a safe distance and anonymity from the target.IntroductionThe Raspberry Pi, see figure 1, is a miniature and affordable computer created by the RaspberryPi Foundation, an educational charity based in
thought to an experiment.The NRC’s A Science Framework for K-12 Science Education [1] and the Next GenerationScience Standards [2] are setting the bar high to change how science and engineering areapproached in K-12. Plus mathematical modeling is an important part of the Common CoreStandards in Mathematics [3] in K-12, and at the college level, has been endorsed by AMATYC[4] and MAA [5]. Surely the college science, mathematics, and ASEE engineering [6]communities will need to respond as the 21st-century classroom evolves. We cannot just keeplecturing!In this paper, readers will see how animated interactive learning tools can be constructed from anoff-the-shelf piece of software, the spreadsheet, to get students to discover concepts involvingerror
these five values in theirreport.1 A search of academic integrity policies at large, research institutions yields different, butoverlapping definitions. Example partial definitions include, “intellectual honesty,”2 “honestyand responsibility in scholarship,”3 and “honest and responsible scholarship.”4 Despite theconsistency found in institutional definitions of academic integrity, there may be littleconsistency in the beliefs held by students and faculty. For example, while faculty see actingethically and avoiding cheating as the same constructs, students disassociate the idea of integrityfrom their behaviors.5 If instructors are to help foster academic integrity and ethics in theirclassrooms, then it seems that a more structured approach is
causes that continue to fuel racial inequality: 1. Poor educational outcomes 2. High disease burden 3. Divided communities 4. Public service performance is uneven 5. Spatial patterns marginalize the poor 6. Too few South Africans are employed 7. Corruption 8. Resource intensive economy 9. Crumbling infrastructureThe continuing struggle to provide the tools necessary for black South Africans to succeed inSTEM fields seems to be rooted in the lack of will and government initiative7. The NationalDevelopment Plan 2030 is another report generated by the South African National PlanningCommission, whereby 119 actions are identified in order to overcome persistent
important as instructors try to design and understand strategies for creating inclusivelearning environments.Fostering an inclusive learning environment is a goal of engineering educators, especially at thefirst-year level. First, research has shown that feeling a sense of belonging is an essentialcomponent to retention. According to a recent White House report, students leaving science,technology, engineering and mathematics (STEM) cite an uninviting atmosphere along with lackof topic relevance as top reasons for leaving the field.1 This may be addressed by acknowledgingthis deterrent and putting forth intentional efforts to create a culturally-relevant and inclusiveclimate for all students.Second, as students enter university, they bring with
required mechanics sequence in a new integrated format to sophomores beginningwith the Fall 2009 semester. As shown in Table 1, the classical sequence of coursework insubjects of Statics, Dynamics, Mechanics of Solids, Fluid Mechanics, and Civil EngineeringMaterials was replaced with a series of three four credit courses. An overview of this curriculumrestructuring process is provided by Glynn et al.1 and Wadzuk et al.2 A Body of Knowledge(BOK) approach was used to identify the key concepts to be included in the three new courses.3 Page 26.780.2 Table 1 – Old and new mechanics curricula in CEE at Villanova University
. Furthermore, ifmost students favor or wind up in a Start alone, End together model of studying on their own ininformal academic activity, this would suggest the need for faculty and other instructors tostructure team or group activities to allow for a period of working alone before progressingtoward building genuine and productive teamwork among members of a group.IntroductionWorking together as a team has distinct benefits over working alone. In the educational context,working together in a learning-by-doing mode leads to more active learning, greater retention,increased motivation, improved communication skills, and strengthened interpersonal skills overmore solitary learning styles.1 Yet, when students form groups, whether via faculty