as a series. Lessons from previous mini-projects are built into subsequentprojects, and each offers loosely-defined analytical questions and open-ended design questionsthat require independent research. The unfolding of scaffolded mini-projects offers an orderlymechanism for students to grow and demonstrate important engineering competencies, especiallywhen offered in tandem with teaching-learning-assessments via ePortfolios. ePortfolios havebeen shown to be effective in documenting learning competencies, enabling meta-analysis andpersonal reflection, and improving skills in the use of social media to communicate ideas. Ineffect, mini-projects combined with ePortfolios may help to facilitate deeper understanding ofcourse content, make the
relevant Knowledge, Skills, and Abilities - KSAs) were measured.Additionally, within the CATME platform team satisfaction, team interdependence and teamcohesiveness were measured. ANCOVA analysis was used to assess the quantitative data fromCATME. Preliminary results suggest that students in the treatment classes had higher teammember effectiveness and overall satisfaction scores than students in the comparison classes.Qualitative data from reflections written at the completion of the aforementioned projects wereused to explore these results.IntroductionA summary of reports on engineering curriculum concluded that the undergraduate engineeringcurriculum lacks rigor in “integrating technical and professional skills through practicalexperiences
specific EM student outcomes was performed on the submitted groupwork from a section of the class taught in spring 2020. Rubrics with four performance levels for eachstudent outcome were created. A majority of the groups were proficient or exemplary in six of the EMstudent outcomes assessed, and all of the groups were proficient or exemplary in two. Additionally,the project was qualitatively assessed using student feedback and instructor reflections. Preliminaryresults indicate the project successfully met the stated PBL and EML goals. Future work will befocused on individualizing the EM assessment process and developing a baseline for comparison todetermine the effectiveness of the project at meeting the stated skillset-based course
embracing risk. The use of Miroreceived mixed perception on average for factors pertaining to creativity and the role ofsketching, while factors pertaining to organization and teamwork tended to receive positiveresponses. These results are also reflected in students’ qualitative responses. Figures 3 and 4 present data of male-only and female-only students, respectively. Forthese groups, the participant who identified as “other” has been excluded. Figures 3 and 4 reveala gender disparity for factors pertaining to willingness to embrace risk, with female studentsdisplaying less willingness on average than male students. The female participant group also hasnoticeably larger margins of error than the male group, indicating a wider range of
finding,demonstrating, or building fluid mechanical systems in everyday life. We employ two differentinstruments to track students’ experiences in this course. First, we compare students'performance in a fluid mechanics concept inventory assessment that they take at the end of eachsemester. In addition, we also adopt a set of items from the Motivated Strategies for LearningQuestionnaire (MSLQ) to measure the impacts of these changes on students' motivations andattitudes. We reflect on the implications of this transition process and provide an outline of thefuture developments of this work.1. Introduction Teaching and learning in online or hybrid settings play an ever increasing role in science,technology, engineering and mathematics
motioncontrol system. The functionality of each block, such as the user interface, motion controller,feedback sensors, is briefly introduced followed by example hardware used in industry to buildthese blocks.Module 2 Motion Profile - (3 lectures) examines how the motion profile is generated when an axisof a machine makes a move. After an overview of basic kinematics, trapezoidal and S-curvevelocity profiles are explained.Module 3 Drive-train Design - (7 lectures) is on mechanical design of a motion axis. It primarilyconcentrates on proper selection of a motor and gearbox to meet the desired motion profilerequirements of the axis. Concepts of inertia reflection, torque reflection and inertia ratio areintroduced. Five types of transmission mechanisms are
, team management, project management, people skills, and organizational skillsare indispensable when managing IT projects [24]. These skills compromise verbalcommunication, written communication, leadership, scope management, time management,negotiation, conflict management, attention to detail, and multi-tasking. Similarly, Lee et al.concluded that organizations focus on interpersonal and management skills rather than technicalknowledge [21], [22], [23].Leadership, for instance, was identified as the most necessary skill a project manager can possessin order to guide and motivate team members, and to ensure the focus reflects the priorities of theorganization [21]. Similarly, verbal communication was the second highest skilled identified
introduced to theseconcepts fits in well with getting students to contemplate and discuss uncertainty, we are strivingfor a simple introductory approach to uncertainty quantification (UQ) that we feel Eqn. 3represents.For our case study, much of the uncertainty categorized into umeasure is reflected in the use of ourdata reduction equation (Eqn. 2). We will use the DRE to quantify the uncertainty in ourmeasurements and thus estimate umeasure.Our estimates of the uncertainty associated with each of our measurements to be used as input tothe DRE is noted in Table 1. To come up with these values we reviewed the calibration data forthe load and displacement sensors, and critically reviewed how the diameter and length of eachspecimen was measured
regimes and back.6. Students track initial and final values of u and v in response to a constant pressure addition of heat. Using the first law, they determine the total amount of heat added during the process.Results and FeedbackSpring 2021 resultsStudent performance on the homework assignment requiring use of ThermoVR was excellent. Atotal of 10 points were awarded for completing the assignment with an additional 3.5 points ofextra credit awarded for completing activity 6 in the above list. All students in the classcompleted the assignment and the class average was 11.4 reflecting that a significant fraction ofthe class also successfully completed the extra credit portion of the assignment.The fourth activity in the above list illuminates the
developing pedagogy that encourages students in reflective learning and personal self reflection in engineering classes in addition to her passion for engineering ethics and conceptual learning.Dr. Alison R. Kennicutt, York College of Pennsylvania Alison is an Assistant Professor of Civil Engineering at York College of Pennsylvania. She received her B.S. in Civil Engineering and her M. Eng. and Ph.D. in Environmental Engineering from Rensselaer Polytechnic Institute in Troy, NY. Her research interests are in drinking water treatment of emerging contaminants and the production of disinfection byproducts. At York College, Alison loves to use hands- on exploration, both in the field and the lab, to trigger curiosity and get
oftheir own demonstration of an EM. The ABET assessment reflects student learning and the EMassessment reflects student behaviors.The ABET and EM assessments are used to address three research questions. First, are studentsmeeting ABET Student Outcome 7? Second, does the self-directed project appeal to students andresult in demonstration of student curiosity? Third, what other dimensions of an EM aredemonstrated during the self-directed project?Measurement Systems Course OrganizationThe course under consideration, EME 3653 – Measurement Systems, was created as a third-year(i.e., junior-level) required course for students enrolled in the LTU BSME program.Measurement Systems was developed with two prerequisites (Differential Equations and Circuits
cognitive load, andstudent preparation for online self-directed learning among engineering students at The Citadel atkey points during the pandemic. Students reflected on their face-to-face and emergency onlineengineering courses using the NASA Task Load Index (TLX), a rigorously-developed instrumentfor measuring perceived workload. The following questions were addressed:1. How did perceived workload and sources of workload associated with face-to-face engineering courses vary across academic classes prior to the pandemic?2. To what extent did the mid-semester shift to an online modality impact perceived workload and sources of workload for each academic class?3. Which academic classes, if any, may have been disproportionately impacted by the
changeto remote learning negatively impacted student learning. Due to reduced engagement in thismodality, students seemed to prefer in-person learning over remote learning. The facultyreported being more flexible in assessing student learning by offering open-book quizzes andtests. Some faculty have replaced exams with projects to accommodate students facingpandemic-related uncertainties. A majority of the faculty noted that time constraints made aconsiderable difference in how they were able to assess their students' learning and that the fastpace of events during the pandemic did not allow for much reflection. Overall, faculty felt that ajudicious mix of synchronous and asynchronous teaching methods was most conducive tostudent success during
school is right for them, and also promote professionaldevelopment of the faculty member. It is recommended that higher education institutes promoteindependent studies to improve their visibility while faculty, especially at teaching institutes, useit as a vehicle to continue to engage in fundamental research for professional development. Theparagraph below is the reflection written by the student at the culmination of this study.“Through this independent study, I gained invaluable experience with applying theory to a real-life scenario through modifying/improving the dimple(s) based on the flow structure studiedusing computational methods. Upon commencement of the study, I had limited experience usingCAD software and no experience in executing
studentlearning and success in engineering courses for all modes of learning including the traditionalFace-to-Face, hybrid and online modes of learning. It can further be concluded that the samecourse structure can be confidently used for all engineering courses as well as science courses,thereby, helpful for all STEM related courses.At St. Ambrose, both self-reflection of instructor and student feedback mid-course and end ofcourse evaluations were very positive. Additionally, the grades of students were high andmeasured effort and understanding.The instructor solicited formal anonymous feedback in the middle of the semester in addition tothe required end of course evaluations. The mid-course feedback from electronics students wasthe best out of the last
aconcentration. (For this chart and those following, the “influenced enrollment” number includesresponses of “definitely yes” and “somewhat.”) Seniors’ interests may have changed, anotherelective outside the concentration may have been more compelling than completing theconcentration, or some schedule-related obstacle may have prevented its completion. Theconcentrations may not have lost their appeal for seniors, but they may require a greater sacrificethan the students are willing to make. Figure 3. Concentrations by yearFigure 4 displays the concentration participation rate and influence on enrollment for thedifferent majors offered in the college. The rightmost bars in the figure reflect the averagenumbers for all
timeframe. What varies in this environment are the grades students receive whichtheoretically reflect their differing levels of course performance. By extension, one is meant toassume that a learner with an “A” knows the material at a higher level than a learner who earneda “C” in the same class. In contrast, competency-based education is based on the belief thatactual competency in the specified area is more important than students completing the samecontent within the same amount of time. While not all digital badges are based on a competencymodel of education (e.g. some are awarded for participation) many are. This is another way inwhich the underlying technology affords a more informative credential. For instance, if thecompetency being
and ensure that the later value is smaller than the former value for any givensurface. The students were also asked to verify and report their obtained values against thosereported in the literature as much as possible. Additionally, the students were also asked toidentify the sources of error in their experimental model that would have resulted in deviations(if any) of their calculated friction coefficient values. Majority of the students (greater than 90%)were able to report values and reflect upon their results and the deviations they observed.Considering that this is not a controlled laboratory experiment where all the equipment andparameters are strictly controlled, the simple experimental models built by the students workedquite well to
benefit to the course material. Their response and anecdotal feedback suggestedpositive value. Finally, the last question was an early check on their reflection of improvedwriting skills. Although they had only one assignment, their reponse indicated substantialimprovement. This makes sense given that they apperently had little experience in technicalwriting prior to this course. 5 4 3.9 3.9 Response 3.5 3 2.6 2 1 I II
, discernable difference in design understanding orapplication between the cohorts that did and did not take the Intro to ME course. Thesesentiments are corroborated by the lack of statistical significance between the two cohortsmentioned previously.ConclusionCourses that provide early exposure to the design process will most likely remain ubiquitous inthe mechanical engineering curriculum of the United States. Although they consume a portionof any program’s resources, they tend to provide a relatively low-threat, high-impact firstexperience in engineering. These courses are often designed to be interactive, team-based, andapplied, which are all reflective of how engineers typically operate in professional practice.These types of courses may also
concern for the authors was how to continue to provide a meaningful design experienceto the students and the second one was how to complete the projects to meet sponsors’expectations. Based on the feedback from the students and sponsors, the authors successfullymanaged both concerns. Typically, the student teams perform fabrication, testing and validationin the machine shop. They were asked to perform more rigorous analysis than initially requiredand revised grading scheme reflects increased weight for analytical methods and validation.They were evaluated, still under a team setting, on how they managed to include additionalanalysis or more detailed design work, and verified their work presented as part of their criticaldesign review during the
? What are some potential concerns? (c) What simple design changes could you make, and what performance tradeoffs would result?Lab survey questionsPlease complete this survey after you have submitted your lab report. Participation in this survey will earn you 1point towards your lab report score. As you answer the questions, reflect on all aspects of the lab activity.Please indicate how much you agree or disagree with these statements based on your most recent labexperience in this course:Scale: Strongly disagree, Disagree, Neutral, Agree, Strongly agree 1. I am in control of setting the goals for this lab activity. 2. I am in control of choosing the appropriate analysis tools to evaluate experimental data. 3. I have the
, performance indicators couldbe derived from the AACU Foundations and Skills for Lifelong Learning VALUE rubric, whichmeasures students’ curiosity, initiative, independence, transfer, and reflection [4]. However,engineering programs could interpret Student Outcome 7 as relating to the acquisition ofknowledge within the engineering profession. For example, a performance indicator could be tomeasure students’ ability to research and acquire engineering standards. In addition, thisperformance indicator would support the requirement for the implementation of engineeringstandards as a part of the curriculum’s design experience. Estes et al. [5] approached thisoutcome as the demonstration of knowledge acquisition without assistance. “Examples mightinclude a
; Mathematics (STEM) Education,Outreach and Workforce Program, Grant Number N000141812770. In addition, the first author’swork is supported by the National Science Foundation Graduate Research Fellowship Programunder Grant No. DGE1745048. Any opinion, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of thesponsors. References[1] G. Xiao, "A Study on the bridging strategy between the theory of fluid mechanics and engineering applications," Advances in Computer Science Research, vol. 91, p. 6, 2019. https://doi.org/10.2991/msbda-19.2019.35[2] J. Hertzberg, B. Leppek, and K. Gray, "Art for the sake of improving
will focus on assessing these two project objectives: (i)Impact on students' problem solving and cognition skills, and (ii) Impact on students' ability tocommunicate to a wide range of audiences. Evaluation of the learning objectives will draw onassessment incorporating pre-and post-surveys, student performance, and student/facultyinterviews. Laboratory reports will be used to generate formal assessment data to evaluate students'cognitive skills at each level. We will study students’ self-confidence in problem-solving and theirlearning gain in the affective domain using self-reflections and faculty observations.Throughout the development, we learned the importance of intensive communication with alldepartment stakeholders, including students