semesters) of anengineering degree program. Engineering is a complex degree program because many studentshave to start preparing for this degree while in high school by building up their mathematics andscience knowledge. For engineering students to start an engineering degree program, they startwith calculus, and are considered behind schedule starting with a lower level mathematicscourse. Although high school students may start planning for an engineering degree programduring their freshman to senior years, many students do not know what the different disciplinesof engineering are and what they do. In Changing the Conversation 1, they show that many highschool students do not have a realistic comprehension of the practice of engineering
. c American Society for Engineering Education, 2017Work In Progress: The Design of a First-Year Engineering Programming CourseAbstractThis work in progress study concerns the design and implementation of a first-year programming coursefor engineering students at a large public university in the Mid-Atlantic United States. Mid-AtlanticUniversity (MAU) accepts approximately 800 first-year engineering students annually, and has anenrollment of approximately 1200 students in its fall and spring Introductory Programming Class (IPC),taught in MATLAB. The IPC is currently under redesign through the process of Backward Design[1].The research around this redesign attempts to answer the following question: How can theimplementation of non-traditional
in engineering forunderprepared students, this goal is intricately connected with the goal of increasing retention forunderrepresented students. Of all students who matriculated with an engineering interest at theThayer School of Engineering at Dartmouth College over a 4-year period, 27% are minoritystudents. A significant proportion (39%) of these students were underprepared in mathematics(defined by the level of introductory mathematics course in which they placed), compared toonly 21% of non-minority students. As we will show below, engineering dropout rates aresignificantly higher for students who are underprepared in mathematics, and we indeed see theeffects of being underprepared for our underrepresented student groups in Table 1
method focuses in the professor actively exposing theconcepts and students passively taking notes. Therefore, this method does not allow for activestudent participation and does not develop teamwork skills that are needed in a professionalsetting. By having the professor be the main character in the classroom and students act asempty vessels waiting to be filled with information, students often lose interest in the matteraltogether and oftentimes withdraw from the course or fail.Due to the previously exposed deficiencies, this study aims to improve students’ learningexperience with the objective to develop basic abilities any professional engineer must have.These abilities include: (1) ability to understand the problem (take, mold, analyze), (2
devolveinto solutions that students think are the best from their perspective alone rather than consideringthe needs and motivations of others5. In order to teach the entrepreneurial mindset, customersmust be integrated, in some way, into the class. However, the way in which customers areintegrated into projects varies widely in literature. There are three main approaches which havebeen identified as viable ways of incorporating customers into a project: 1) creating a fictionalsetting with fictional stakeholders5,6, 2) incorporating a real-world setting, but without directinteraction with real clients (ex. designing something for a third world population)7,8, 3)designing a product for a real client9-11. There are also other projects that involve
-calculus level.Survey ToolsPre-surveys and post-surveys were designed to gauge the effects on the activity on studentattitude. The surveys contained a set of matched questions, as listed in Table 1. Each survey alsogathered additional data. On both surveys, the 5-point Likert scale was defined as 5=stronglyagree, 4=agree, 3=neutral, 2=disagree, and 1=strongly disagree, while the 3-pt Likert scale wasdefined as 3=increased, 2=neutral, and 1=decreased. The pre-survey was administered before theactivity began and the post-survey was administered on the last day of the activity. Table 1: Matched attitudinal questions on the pre-survey and post-survey. Question Type
engineering decreased by 15%. Nationally,less than 50% of the students who enrolled in engineering curriculum complete the program [1].At Colorado State University, we typically lose 40% of our electrical and computer engineeringstudents during the first two years of their undergraduate engineering program [2]. The causes for the declining attrition trend can be attributed to many factors from socialsupport systems available to students, to low self-efficacy due to poor academic performance, tolack of perceived value and career opportunities relative to the amount of effort required to gothrough the program, to the rigid ECE curriculum structure and the lecture-style learningenvironment that discourage active and inquiry-based learning [1,3,4,5
doctoralstudents have favored simplicity of design and rapid data collection from local populations ofstudents.1 However, local sampling can lead to poor representation of engineering doctoralstudents among engineering disciplines and minority groups. Students from programs ofdifferent sizes and disciplines across the country are often not considered, thus hindering theability to generalize quantitative results and observe the true variability of the doctoralengineering student population.We seek to collect survey data from a minimum of 5,000 engineering doctoral students fromacross the country to examine their identity and motivation profiles within the context ofprevious academic and research experiences in STEM fields. To promote recruitment of
workforce.Science and Mathematics (GSSM) to 1) cultivate and maintain in-state engineering talent, 2)attract more women and minorities into engineering, especially from under-resourced schooldistricts, and 3) keep gifted students challenged while developing collegiate study skills.Beginning in their sophomore year, motivated high school students enroll in an integrated set ofcourses in mathematics, engineering, English, and science. The engineering courses are taughtremotely by the General Engineering faculty from Clemson University. Upon completion of theprogram and graduation from high school, students earn college credit hours that, upon acceptance,can be applied to an engineering degree at three universities in South Carolina, including Clemson,the
family obligations outside of the university, all of whom CampbellUniversity wishes to serve.Therefore, after the two first-year LWTL courses, the Campbell University engineering facultyselected six additional courses, mandatory for all students in all concentrations, to serve as theflagship experiential learning spine of the overall curriculum. Students pursuing courseworkaccording to the recommended course schedule will have exactly one LWTL or LWTL-likecourse in most semesters. The additional courses selected are Materials Science & Processing,Statics & Mechanics, Circuits, Fluid Mechanics, and Senior Design 1 and 2. CampbellUniversity faculty are currently preparing course curricula for Materials Science & Processing,Statics &
course as well.Product Planning (Week 1-2): In this phase, design teams are expected to understand theunderlying problem that is intended to be addressed by the final product and develop the projectsmission statement. The mission statement of the project contains the broad description of theproduct, the main assumptions, the key business goals, the primary and secondary markets forthe product, and the main stakeholders of the product. The design teams are cautioned that theproduct description that is created in the product planning phase should only identify theproduct’s basic functions and it should avoid implying any specific concept. The missionstatement serves as the project contract that defines the scope of the project and its
of user-centereddesign (UCD) and human-computer interaction (HCI) during the mid to late 1990s. Unlikesimple descriptions of real people, personas are fictional, “hypothetical archetypes” [1]constructed from purposeful research about product users. Personas help to communicate thegoals, values, needs, and actions of targeted users and to develop empathy and interest for usersduring early stage design. Scenarios are narrative descriptions (i.e., “stories”) of “typical andsignificant” user activities that help designers define specific product features that reflect a userfocus [2]. Today, use of both personas and scenarios are widely recognized; designers mayimplement personas and/or scenarios in the context of product usage models that enable
mixed-methods design to lay thegroundwork for subsequent research on teams, specifically in the context of new measurementand analysis strategies for team dynamics, interactions, and learning. Research questions reflecttracking micro-level patterns of teams from project launch, through process development, to finalsolution. The research questions are: 1. What micro-level patterns of behavior a. influence the effectiveness of sharing (e.g., inclusiveness, openness, and mutual encouragement) in team member interaction? b. enable winning teams to form a cohesive identity in the initial stage of the project? c. enable teams to make the best use of available resources, including each other, mentors from
within a freshmanengineering design course in which students are asked to conceive, design,implement and operate a Six-Section Rube Goldberg machine. Often in the firstyear of an engineering curriculum there is a project based class designed tointroduce students to, motivate students about, and retain students within theengineering discipline. They also begin to instill skills such as: 1. Team Work 2. Systems Engineering through Experimentation, Testing, and CAD & physical Modeling 3. Written Communication 4. Oral Communication 5. Time Management 6. Team ManagementAt this institution, project based classes allow students to develop these skills andexpressly enforces two avenues of technical communication: between and
engineering cannot possibly obtain good or effectiveteaching”1. According to Svedberg, this happens because “teachers in engineering at universitiestend to teach in the same way as they have experienced during their own studies”1. This meansthat the classical teaching culture is perpetuated because there is not sufficient training in properteaching practices for engineering educators. Though Svedberg was specifically discussingengineering educators at universities, the same conclusions apply to those at community collegesand engineering trainers in industry.Professional development for educators is not new, even for engineering educators. Suchprograms exist in several forms, at many universities throughout the world, including graduateengineering
while expanding our understanding of how students evolve to acquire expert-level design skills. The results inform leaders in engineering education and developers ofinstructional materials and curricula, as well as teachers and designers planning classroomstrategies, of initiatives in formal engineering education. The development of educationalstrategies are explored and developed through a workshop of engineering design educators tomove students along a trajectory towards expert design behavior. Table 1 presents an overview ofthe problem, approach, and potential outcomes of this project.Background and Significance of Related WorkThere has been a significant impediment in providing quantitative empirical evidence about thecognitive behavior of
of Technology Transfer, 31(3), 367-375.Chubin, D. E., May, G. S., & Babco, E. L. (2005). Diversifying the engineering workforce. Journal of Engineering Education, 94(1), 73-86.Fussell, S. (2016). The alarming downsides to tech industry diversity reports. Retrieved from http://gizmodo.com/the-alarming-downsides-to-tech-industry-diversity- repor-1789797486Maranto, C. L., & Griffin, A. E. C. (2011). The antecedents of a ‘chilly climate’ for women faculty in higher education. human relations, 64(2), 139-159.McCandless, D. (2016). Diversity in tech. Retrieved from http://www.informationisbeautiful.net/visualizations/diversity-in-tech/McGee, E. O., Robinson, W. H., Bentley, L. C., & Houston II
were surveyed at the end of the first week of classes and again at the endof the semester. Surveys were developed using items from Dweck’s Implicit Theories ofIntelligence Scale, which has shown good internal consistency, α = .88 and test-retest reliability,α =.79 (Dweck, Chiu & Hong, 1995). We also used items from Pintrich’s Motivated Strategiesfor Learning Questionnaire, which has also shown good internal consistency, α = .89 (Pintrich,Smith, Garcia, & Mckeachie, 1993). The scales were adjusted to use a 7-point Likert scale (1 =not at all true of me to 7 = very true of me.). The number of items per scale were reduced to notoverburden participants. The students in the redesigned sections also completed a memo exercisewith open-ended
followingprocedure: 1. Review paper title. If obvious (e.g.: Understanding the Benefits of the Flipped Classroom in the Context of Sustainable Engineering) then create new code or fit into existing codes 2. If practice was not obvious from title move on to abstract and look for practices to code. 3. If practice was not obvious from abstract, open full document and scan article to determine practice. Code as above. 4. If no educational practice was evident after steps 1-3 leave code blank.Using the list of open codes, a process of axial coding11 was applied to categorize the differentopen codes. Categories were chosen based on the aspect of the practice (e.g. overall courseformat, specific technique
-solving, engage in discussion, and most importantly allow the instructor to workexample problems, answer questions, and/or introduce real world applications. A class can befully flipped, with all lecture-type content delivered outside of class, or a hybrid flipped, withpart of the lecture content delivered outside of class and part within class time [1]-[6].The revision of the junior-level Computer Aided Design and Manufacturing MFGE3316 wasdriven by three forces: ABET accreditation, keeping current on an ever-changing softwareprogram, and fostering classroom discussion. The impetus for researching a revision of thepedagogy for teaching this class was driven by an ABET outcomes annual review meeting, atwhich the consensus opinion was that the
dynamic view of how aFYE team changes in response to overarching course structures.Current Results and Discussion Student perceptions from feedback The student feedback (N=893 complete) consisted of traditional surveys of satisfactionwith the course, teacher competency, and chances for open response. So far, with N=80 of theessay responses fully coded and a preliminary coding structure for the others in development, thefollowing themes emerged: 1. Students are hyper-aware of circumstances of the class. Students had an implicit and explicit awareness of the course’s effect on the college and the greater context at the university itself. While no students indicated (so far in the analysis) the new program
College of Engineering and Technology for the Spring Semester 2017. c American Society for Engineering Education, 2017 Work in Progress: The Impact of a Self-Guided Assessment Tool on Success and Retention of At-Risk StudentsAbstractThis work-in-progress paper will describe an online self-guided goal-setting tool designed tohelp students retaking courses without a significant increase in advisor workload. The aim is toreduce the number of students requiring a third attempt of a course, thereby decreasing time tograduation and increasing retention, as emerging research on the “murky middle” has shown thatattrition is driven by the number of failed courses rather than overall decline in GPA [1
learning. The purpose of this paper aims to sustain a shiftin faculty beliefs and classroom practice towards student-centeredness whereby facilitatingprofessional development workshops with pairs of faculty members from multiple engineeringdisciplines.MethodsThis project is one in which assesses participants throughout multiple university semesters foridentification of trends and sustained gain for each faculty. Cohort 1 participants consisted of 3assistant professors, 2 associate professors, 1 professor, and 2 professors of practice. The completeproject timeline is displayed in Figure 11. During the first year of this project, Cohort 1, Tier 1Disciplinary LeaderPairs (DLPs) weretrained by JTFDproject faculty during atwo-semester program.The
learning, civic engagement and community. Laura holds a PhD in Sociology from the University of Illinois at Urbana-Champaign. c American Society for Engineering Education, 2017 WIP: The Impact of Project Based Service Learning on Students' Professional Identities and Career Readiness 1. Introduction Project based service-learning (PBSL), as an innovative pedagogy and strategy, has beenintegrated into engineering education through curricular, co-curricular and extra-curricularactivities in many universities to improve engineering education with many favorable impacts onstudents [1-10]. There is evidence that PBSL has a positive influence on student learningoutcomes, as well as on an
have a face-to-facecomponent as well as an online self-paced component using ALEKS R (Assessment and LEarningin Knowledge Spaces).Self-paced component: ALEKS RALEKS R is an online assessment and learning system that individualizes learning paths usinga proprietary web of conditional probabilities for topic acquisition 1 . ALEKS R includes contentinformation, practice problems, and integrated learning resources 1 . Each student takes an InitialKnowledge Check (IKC) in order for ALEKS R to determine what the student already knows andwhere to start the student’s individual path.ALEKS R can be configured in many ways to meet an institution’s specific instructional designneeds. At Clemson University the course content, ranging from adding fractions
proficiency from pre-production to advanced fluency and different teaching techniques work best at each level. Thisknowledge was translated and then applied to teaching a college-level, introductory computerprogramming class. Table 1 summarizes the levels of proficiency and then presents teachingstrategies applied at each level 18.Table 1A Comparison of Non-SLA-based and SLA-based Teaching Techniques Preproduction Early Speech Intermediate Advanced (minimal Production Emergence Fluency (very Fluency compre- (limited (increased good compre- hension) compre- compre- hension
thepreliminary item analysis results are reported for the multiple-choice portion of the assessment.The Rasch model11,12 was adopted as the framework for evaluating the psychometric propertiesof the modified ECA. The Rasch model is commonly applied in constructing and evaluatingattitudinal measures13,14,15 and content tests in STEM9 and provides information psychometricproperties that Classical Test Theory approaches lack16. Further, the Rasch model is not sampledependent like Classical Test Theory approaches16. The following research questions were themain focus of this study with questions one through four addressed in this paper and datacurrently being collected and analyzed to address questions five and six. 1. What support is there for the
in formal ways into engineering education. Many widely publicized failuresof complex engineering systems can be traced back to lapses in judgment on either ethical orsocietal impact axes, including the Volkswagen Diesel Engine scandal,1 the BP Gulf Oil Spill,2the Challenger3 and Columbia4 space shuttle disasters, and more recently, the Flint, MichiganWater Crisis.5In this work, the authors seek to explore the application of game-based and game-inspiredlearning to engineering ethics education. Giving students the opportunity during their educationto recognize the wider social and ethical impacts of the profession - through multimediasimulation, role-playing games, case-based learning, and review of other, fictionalized cases -can
for illumination and a camera with atelecentric lens to visualize the thermal boundary layer that forms around a heated copper tubeplaced in a tank containing cold still water. The video clearly shows the initial diffusive growthof the boundary layer and the subsequent onset of buoyant convection. Then when flow isinitiated, a thinning of the boundary layer on the upstream side of the cylinder is clearly visible.After showing video clips in two sections of an Introduction to Transport Phenomena course,student feedback was very positive; they found it interesting and helpful. We believe this visualrepresentation aids in learning and can actively engage students in the learning process. 1. IntroductionConcepts related to thermal boundary
process simulators.The information flow to and from the repository is shown in Figure 1. Problems can be developed basedon examples and textbook problems or screencasts such as LearnChemE16. The Governing Board willencourage problem contribution from a diverse group, including student groups, working professionals,and educators including teaching assistants. This encouragement could take the form of problem contestsor a “problem of the week” where a specific concept would be featured and working professionals couldcontribute problems from their workplace that test that concept.Figure 1 Overview of the system. The structure of the system hosted at www.ExcelProblemPedia.org is representedabove. This homework repository is crowd sourced and is