applications. Inthe past few years, the creation of tech shops or maker spaces has been a boon to engineeringinnovation, and has particularly contributed to strategies to broaden participation in engineeringmajors. In the past year, the authors have been managing the creation of such a space within aminority-serving land-grant institution. The advantages of low-resolution tryouts and prototypingbeing added to the engineering curriculum are abundantly discussed elsewhere. In this paper, wediscuss the creation of a maker space and how we have used it as an adjunct to our college’sengineering and engineering technology curricula. The issues of resources (human andfinancial), assessment, and the proper role of the maker space have evolved over the six
Page 26.369.5results from the college of engineering since it represented 92.5% of the responses (687).Preliminary results did not show significant differences between the 11 engineering majorsstudied.In this study the survey was improved based on the analysis of the Cronbach’s alpha of the pilot.In addition, to ensure validity, the survey was critiqued by the four authors of the project, whodiscussed every item in detail. In addition, an assessment expert evaluated the survey and madesuggestions. Face validity and content validity were established with consensus of the researchers.The instrument, as mentioned before, has been proven to measure the theory developed byHofstede. Construct validity has also been proven in previous studies [16, 27
, interdisciplinary faculty learning community consisting offaculty from the Department of English (with Technical and Professional Writing specialties) anddifferent departments in engineering and technology. One of the primary tasks of this community,shaped largely from a Writing in the Disciplines (WID) approach characteristic of the institution’scurricular and assessment bodies, was to map the current state of technical writing genres inengineering courses and to better understand the present gaps, if identified. This task wasaccomplished through workshop-based discussions and cross-disciplinary collaborative research.Based on the application of RGS methodologies to the interdisciplinary faculty learningcommunity workshop, it is suggested that a genre
in providing and gathering data for the project.This included generating logs describing what was taught during each lesson, and administeringand collecting pre- and post-assessments and surveys. In addition, 26 E4 Project teachers acrossthe three regions were selected to have their classrooms be Classroom Intensive ObservationSites (CIOSs) in which classroom activity was video recorded, and teachers and studentsparticipated in interviews. (See authors’ previous work for CIOS selection details.2) By the endof Year 1, 23 teachers had fully participated as CIOS teachers, 16 of whom taught EiEcurriculum. In Year 2, there were 15 CIOS teachers; 12 taught the EiE curriculum.E4 Project and the EiE Curriculum Roughly half of E4 EiE teachers
Based Education6, and utilizes the interactivemodel of learning. All the students maintain an online portfolio of their work. The systemdesigned in the laboratory to perform a specific task is the core measurement as the learningoutcome of the course. The laboratory performance of the course is performed in teams of threestudents. This mode provides a platform for horizontal learning through active and engageddiscourse and discussion. Students are empowered to charter their learning and feed theircuriosity. The course culminates in a Final Project which is assessed based upon itscomprehensiveness and originality. Students are required to master the soft skills ofcomprehensive report writing on a weekly basis and of Technical Project Report
students also completed a midterm project to learn soldering by building a transistor testerkit, which they will use for the remainder of their academic career. This device is used to measuretransistors, resistors, inductors, capacitors, and diodes and can also be a function generator. As partof their assessment for the midterm project, they were required to recognize, describe, and measurevarious electric components while also completing a journal entry. The team-based final projectwas an enhanced version of the popular Simon Electronic Game from the 1980s. The gameincluded extra modes as well as statistics on the liquid crystal display (LCD). The final projectwas meant to build on prior projects as well as teach teamwork, cooperative learning
, students learn how to use 3D design software to draw the structural parts of their robots.In this course, students have the chance to 3D print components of the co-robots. Afterassembling their robot, it is time to program the microprocessor. In the co-robotics course,students learn the basics of coding in C language and use it to program the Arduino board. Atthis stage, the mechanical and electrical parts of the robot are ready and students can test theirrobots, observe the outcome of their designs, troubleshoot, debug, and redesign if necessaryby iterating the design process.3.2 Evaluation MethodologyTo evaluate the co-robots course, we adopted four different assessment methods: survey, in-class assignments and challenges, observation, and
). "Linking construction fatalities to the design for construction safety concept." Safety Science43(8): 589-611.[7] Behm, M. (2012). “Safe design suggestions for vegetated roofs.” J. Constr. Eng. and Mgt 138(8):999–1003.[8] Bennett, L. (2004). “Peer review of analysis of specialist group reports on causes of construction accidents.”Research Report 218 prepared by Habilis Ltd for the Health and Safety Executive. ISBN 0 7176 2836 1.[9] Dharmapalan, V., Gambatese, J.A, Fradella, J., and Vahed, A.M. (2014). “Quantification and assessment ofsafety risk in the design of multistory buildings.” J. Constr. Eng. and Mgt Nov. 2014: 04014090-1.[10] Dillard, J., Dujon, V., and King, M. C., eds. (2009). Understanding the social dimensions of
is astraightforward and useful tool for engineers and technicians who deal with measurement systemand data collection in their job functionalities17. Research in this area is quiteactive5,9,11,15,20,21,24,27. It is also commonly used in Lean Six Sigma projects as a part of theMSA1,28,29. Rosenkrantz conducted a survey to executives in the American automotive industryto assess the values of several quality tools and statistical methodologies23. Among the 306executives, more than 70% responses indicated that GR&R is the methodology most often usedby their organization. This percentage was on the top of the list of 17 quality tools and statisticalmethodologies commonly used in industry.Teaching GR&R to engineering and engineering
technology coursetitled Solving Technology Problems. This course was a requirement for all students within ourdepartment’s two engineering technology majors, as well as a requirement or elective for othertechnology majors from across our campus. Two sections were offered each semester, eachcapped at 48 students. A traditional engineering problem solving methodology was taught usingapplication-based activities and projects from agricultural and manufacturing scenarios.Student Learning ObjectivesThree student learning outcomes were used in our course as enduring understandings, whichfollowed Wiggins and McTighe’s13 Understanding by Design methodology. All of theseoutcomes were assessed throughout the mechatronic experience and are defined as follows
. Hector Lugo works as a Student Technology Success Coordinator at The University of Texas at El Paso. He holds a B.S. in Electrical Engineering. He is currently enrolled as a Master of Science with a Major in Electrical Engineering. His motivation and passion pushes him into research in wireless commu- nication, especially in Bluetooth Low Energy and Near Field Communication as well as building projects and fostering innovation with faculty and staff members. As part of the Learning Environments division, the idea to develop, oversee and assess engaging students to expand their knowledge and creativity by innovating new technologies application for Engineering Education is currently under way to engage the university
challenges include sustainability, access, safety, and lack of awareness.Innovative ways to award academic credits to students and young people who start businesses orengage in any innovative activity will create flexibility in curriculum related activities. The paperwill focus on the motivation, our paper’s relationship to other papers, our methodology and ourinterim assessment regarding the sustainability of entrepreneurship education. We will discuss thechallenges, ideas, long-term approaches as well as insights on how institutions can integrate coreentrepreneurship values into the academic curriculum. 3 A daunting challenge facing the entire
as: (a) a guideline for the development of the learning design focused emphasizingrepresentational competence 16 with MEAs, and (b) a mechanism to identify and assess studentrepresentational competence, via their produced representations 18 in the MEA.MethodsThe participants of this study were 25 predominantly sophomore engineering students enrolled in a linearcircuit analysis course offered to electrical engineering students at Purdue University. Students wereasked to complete a homework assignment guided by principles of MEA design (see Appendix A). Theassignment was adapted from a texbook problem from DeCarlo and Lin21. It consisted of having studentsto first analyze an electric circuit, and then optimize it in order to be able to
increasing, business, industry and government organizationsare under tremendous economic and environmental pressures to reduce energyconsumption and dollar savings. Building “Envelope” generally refers to thosebuilding components (walls, doors, windows and roof) that enclose conditioned spacesand through which thermal energy is transferred to or from the outdoor environmentand are significant sources of heat loss. A building envelope study provides a goodqualitative and analytical understanding of the thermal performance of major buildingenvelope components, identifies major deficiencies, and helps developing appropriateenergy management project to improve performance. In this building envelope study,infrared thermography is used to assess envelope
has worked extensively on the integration and assessment of specific technology interventions in mechanics classes. He was one of the co-leaders in 2013-2014 of the ASEE Virtual Community of Practice (VCP) for mechanics educators across the country. c American Society for Engineering Education, 2016 Impact of Non-Cognitive Factors on First Year PerformanceAbstractThis research paper describes the study of non-cognitive factors and their impact on studentacademic outcomes, above and beyond the impact from previous academic performance. Theconnection between prior academic performance factors, such as high school GPA andstandardized test scores, and the performance of first year students (as
first year, scheduled Saturday hours were eliminated and students instead use areservation request process if they would like to use the space on Saturdays. Hours on all otherdays remain the same.Improvements are continuously made as students voice their suggestions. In semesters after thespace opened, several components were added including: availability of engineering paper; asingle-serve coffee brewing machine; a collaboration station where multiple students can plug inlaptops and display their screen on a large monitor; laptops available for check out; dualmonitors on the computer stations; and rotating art pieces from the campus’s permanent gallerycollection.Assessment MethodsSeveral different assessment tools have been used to measure the
Education: Looking for change as seen by ASEE members, 2012 to 2015BACKGROUNDDuring the Fall of 2012 and Spring of 2015, SageFox Consulting Group, external evaluators forthe National Center for Engineering Pathways to Innovation (Epicenter),1 undertook a study inorder (a) to establish a baseline that could be used by Epicenter to assess change over time inI&E initiatives within this community, and (b) to provide information to the Epicenter team thatwould assist in setting priorities and allocating resources. Within the context of the larger effortof evaluating Epicenter, it became clear that the study would provide a unique opportunity toaddress three key research questions that are the focus of this paper
security and to decide if the app can be allowed, understand the level ofpotential damages by assigning the permissions. Four steps are required for the permission IDanalysis: (1) load the apk file. (2) filter the permissions requested by the apk file. (3) display allpermissions requested. (d) highlight the dangerous permissions, and allow user to reject therequest.Analyzing the permission requests with the level information and risk assessment is a complexresearch issue and out of the laboratory development scope. Some of the most popular availablemethods in the machine learning will be introduced to students. Those content are not requiredfor learners to conduct the above labs.Malware Analysis - DexterDexter is a web based free Android
Detailed course descriptions of curriculum progressionThis paper shows how model-based system design, as has been described, is integrated inselected courses in all four years of the Mechanical Engineering undergraduate curriculum. Thecourses where this has been implemented are presented in Table 1 and are required courses forall students working toward a Bachelor’s of Science in Mechanical Engineering. This approachis the model-based design counterpart to the “Design Spine” discussed by Sheppard et al.6 whorethought the curriculum at Stevens Institute of Technology to emphasize design throughout allfour years. An initial cohort of freshman engineering students started the proposed model-baseddesign sequence in the fall 2015 semester. Assessment
better prepared on topics they were less familiar with and beimmersed in the newest research on the topic, illustrating the relevance of it, and setting thescene for future research. The time required for students to prepare, and the grading proved to bethe more difficult aspects of this approach, but it was clear how the level of understanding andengagement was unusually high, as witnessed in class and project discussions.CourseworkIn order to provide balance to the students in terms of course load and assessment, two majorcourseworks (i.e., homeworks) were assigned. The first coursework was based on theintroduction of the course and contained two major questions. The first question required thestudents to identify a chemical engineering
).One of the biggest challenges in designing and implementing the program was the concern that a self-paced online environment may not be an ideal one to achieve a learning objective focused on creativity,innovation, disruption, and the ability to scale these attitudes throughout the organization. Research hasshown that there is a heightened level of creativity and risk taking when working in groups.1 Online1 Amabile, Teresa M. et al.. “Assessing the Work Environment for Creativity”. The Academy ofManagement Journal 39.5 (1996): 1154–1184. See figure 2 in the conclusion.courses offer flexibility in time and location as well as cost efficiencies to the company, but studentswork alone with limited ability to interact or collaborate with other
design communication. Advanced Engineering Informatics 27, 580-597 (2013).9 Neuroscience, N. Revolutionizing peer review. Nat. Neurosci 8, 10.1038 (2005).10 Vaughan, L. & Shaw, D. Web citation data for impact assessment: A comparison of four science disciplines. Journal of the American Society for Information Science and Technology 56, 1075- 1087 (2005).11 Thelwall, M., Vaughan, L. & Björneborn, L. Webometrics. ARIST 39, 81-135 (2005).12 Sud, P. & Thelwall, M. Evaluating altmetrics. Scientometrics 98, 1131-1143 (2014).13 Popielarski, M. Assessing Altmetrics: Why Law Librarians (and Law Schools) Should Care About Altmetrics. AALL Spectrum 19, 28 (2014).14 Galligan, F. & Dyas-Correia, S. Altmetrics
to impact sense of belonging in the program, knowledge aboutcampus resources, and desire to continue in the engineering program. A similar survey wasadministered at the end of the fall semester to assess effectiveness of the program at that point intime. Mentees were also asked to share stories and examples of how the program impacted themas well as general comments and suggestions about the program.Retention DataThe engineering program follows a core-sequence progression of courses. Enrollment in thefirst-year core courses was used to determine retention and was compared with historical data.The table below shows the number of new admits who enrolled in ME EN 1000 (Introduction toMechanical Design for Engineering Systems) in the fall, the
an engineer degree in mathematics from the Technical University Graz, where he focused on software quality and software development process assessment and improvement. He is man- ager of HM&S IT-Consulting and provides services for SPiCE/ISO 15504 and CMMI for development as a SEI-certified instructor. He performed more than 100 process assessments in software development de- partments for different companies in the finance, insurance, research, automotive, and automation sector. Currently, his main occupation is a consulting project for process improvement for safety related embed- ded software development for an automobile manufacturer. On Fridays, he is teaching computer science introductory and programming
.We found that students performed significantly better in Fall 2014 than in Fall 2013.Student performance on computationally related questionsBecause a core goal of the evaluation was to determine whether adding computational modulesimproved students’ understanding of core content, we repeat the above analysis examining onlythose items that assess students’ knowledge of content covered by the computational modules ineach of the courses.In MSE 206, five items pertained directly to the content covered by the computational modules.Descriptive statistics of this subtest are presented in Table 5.Using only the items that covered content related to the computational modules, we found thatstudents performed significantly better in Spring 2015 than
quality of STEM faculty and adopt teachingmethods supported by evidence derived from experimental learning research.Research has found that high-performing students frequently cite uninspiring introductorycourses as a factor in their choice to switch majors.10 Empirical evidence about how people learnand assessment of outcomes in STEM classrooms all point to a need to improve teachingmethods to enhance learning and student persistence.10 However, a significant barrier to broadimplementation of evidence-based teaching approaches is that most faculty lack experience usingthese methods and are unfamiliar with the vast body of research indicating their impact onlearning. This gap in experience has resulted in STEM education lacking relevance to a
Paper ID #15437A Scalable Course Project to Accommodate Academic VariationDr. Huihui Qi, Grand Valley State University Dr. Qi is an assistant professor in Mechanical Engineering at Grand Valley State University. She earned her Ph.D degree in Mechanical Engineering from Rutgers University. Dr. Qi’s teaching interests include Engineering Design, Solid Mechanics, Mechanical System Design and Computer Aided Design. Dr. Qi’s areas of interest and expertise include design sustainability, Life Cycle Assessment, decision making for optimal design, and Computer Aided Design.Dr. Hugh Jack, Western Carolina University Dr. Jack is
statisticallysignificant to the stage of change advancement. Instead the availability of physical resources,self-confidence and work load were key factors impacting stages of change. These findingssupport the importance of recognizing institutional context when examining the factors that cansupport institutional change. Additionally, these findings identify areas where support can begiven to implement evidence-based instructional practices when assessed by a college ordepartment.Introduction: Active Learning and Adoption of Evidence Based Instructional Practices(EBIPs)Some faculty have concerns about implementing evidence based instructional practices (EBIPs)like active learning in the classroom. This may be due to misconceptions around what activelearning is
not trivial for a first-year student. (2) The design requirements can be structured to allow for many different designs or more highly constrained to force an outcome of more specific designs. (3) The cost of materials needed for the project is relatively low and all materials are easily obtained. The project could easily be changed by simply changing the allowable materials for construction.In both implementations, students were asked to write a short reflection on the skills acquiredafter completing the project. Reflections were categorized based on reflection themes todetermine common themes and trends. This assessment, while largely qualitative in nature,provides a snapshot of how well students internalize the
engineering design process. West Lafayette, IN: Purdue University Press.[3] Fang, Z. (2006). The language demands of science reading in middle school. International Journal of Science Education, 28, 491–520.[4] Wilson, A. A., Smith, E., & Householder, D. L. (2014). Using disciplinary literacies to enhance adolescents’ engineering design activity. Journal of Adolescent & Adult Literacy, 57, 676-686.[5] NGSS Lead States. (2013). Next Generation Science Standards: For states, by states. Washington, DC: The National Academies Press.[6] National Assessment Governing Board. (2013). Technology and engineering literacy framework for the 2014 National Assessment of Educational Progress (NAEP). Washington DC: Author