. In DFM, a more functionally constrained project could accomplish the same thing.• Building the Connection between Function and GD&T This follows from the previous point and reflects the challenge noted earlier that students experience the greatest difficulty when they are required to come up with the correct controls, and more so specific values of tolerance that will result in a desired function. In industry, this experiential knowledge has been acquired over time and is captured in standards and procedures for dimensioning and tolerancing the specific products that are designed and manufactured. Though it is difficult to reproduce this in an academic setting, tooling design again represents a good application
. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor of Materials Engineering at California Polytechnic State University where he teaches courses in materials design, sustainable materials, and polymeric materials. Dr. Harding is PI on several engineering education research projects including understanding the psychology of engi- neering ethical decision making and promoting the use of reflection in engineering education. He serves as Associate Editor of the journals Advances in Engineering Education and International Journal of Ser- vice Learning in Engineering. Dr. Harding has served in numerous leadership roles in ASEE including division chair of the
survey were also modified or removed.Following revisions, the survey contained 15 items to measure the four hypothesized dimensionsof the STV construct. The dimensions and their items are shown in Table 1. Notably,respondents were instructed prior to seeing these items that “first position” could includeemployment and/or graduate/professional school to accommodate the broad range of career pathsthat engineering students take after graduation. This language was reflected in many of the itemstems used to measure the various STV dimensions as well. Table 1 – Items Developed to Measure STV Related to Finding a First Position Construct: Item Dimension No. Item Stem
efficacy and success of the program are addressed. Each item represents a uniquedimension, or learning objective, where positive gains indicate improvements prior to and afterparticipation in the program. Results indicated positive, statistical change in four out of sixintended dimensions: students’ confidence, self-awareness, and ability to recognize theirstrengths and weaknesses were all significant, as was the students’ perception of the success ofthe program. Analysis of the remaining two dimensions, students’ preparedness to work in teamsand student’s ability to perceive the value in cooperation for group success, also indicatedimprovement in the intended direction. These results reflect an all-around improvement instudents’ perceptions of
results of Aluminum andSteel specimens for different cases of loadingꞌ, promoted critical thinking and communication.Therefore the essential motivation was to re-confirm to the well-established perception thatꞌhands-on experiences will always outperform traditional or passive learning methodsꞌ. Howeverhands-on activities should be done in a way to provide sufficient opportunities for reflection,metacognition and a deeper understanding of the principle or physical phenomena underlying theexperimental activity. Poorly designed experiments would negate the benefits of hands-onlearning. In order to explore the effectiveness of a modeling tool as a substitution for hands-onactivity the project for spring 2016 was conceived. The ambit of tasks was much
63.6 know very little about them Yes, I have searched for them 4 18.2 and perused a few Yes, I have used open educational resources in one 2 9.1 or more classes No response 1 4.5In response to a question about having ever considered using an OER in a course, 48% ofrespondents indicated that they have never used or considered OERs. Other respondentsindicated that they had used OERs, had examined them in the current semester, or had looked atthem 5-10 years previously.At the end of the survey, four open-ended questions asked faculty to reflect on
consideration (required) as well as commentary onwhether the obtained results resemble the expected results (to establish whether the studentsunderstand what they are looking for). Further commentary would explain what factorsinfluenced the results to be non-ideal (which would indicate understanding of both the systemunder study and the data collection system at issue in the lab). Grading reflects mastery of theexperimental system—the more the student explains, the better the mark.As the students master the details of project set-up, we shift to more formal reporting, with shortreports that ask for project motivation, goals and methods as well as results, and we support thisby providing examples and by providing lectures on the structure of and
of active learning practices in the classroom. As part of the analysis, welooked at beliefs about student-centered learning strategies and at classroom practices at twoseparate times (one at the beginning of the semester, or start of the professional developmentseries, and one at the end of the semester when the professional development series was ending).The study was framed by the following research question: To what extent are faculty beliefs about student-centered strategies reflected in instruction practices in the undergraduate engineering classroom?Review of Related ResearchStudent-Centered Teaching in Engineering EducationStudent-centered teaching strategies address key course concepts and skills in an engaging
conductstructured observations of in-class engagement.Our preliminary analysis suggests that building on the interests, experiences, and knowledge thatpotential CS majors bring with them to class, and connecting curricula to emerging issues cansupport the learning experiences of students traditionally underrepresented in CS. For example,in the extension of the week 2 module in which students programed agents to draw their names,students were asked to create a design to reflect something about themselves. Students drewspirals, sine waves and other geometric shapes; some students wrote their names in cursive (onewith step-by-step agent instructions, another creating curves from mathematical functions); manydrew intricate emblems or logos illustrating aspects
, educational psychology, and social work in the context of fundamental educational research. Dr. Walther’s research program spans interpretive research methodologies in engineering edu- cation, the professional formation of engineers, the role of empathy and reflection in engineering learning, and student development in interdisciplinary and interprofessional spaces. c American Society for Engineering Education, 2017 Deepening student understandings of engineering dynamics principles through industry-inspired, problem-based learning activitiesAbstractThis paper describes the development, implementation, and evaluation of project-based learning(PBL
YouTube videos followed by with quizquestions in the first offering; (2) adding Google Docs (or Google Forms) with embeddedYouTube Videos and quizzes in the next class session; and (3) including both Google Docs andinteractive videos in the third. End-of-Course Surveys consistently show that the studentsenjoyed the weekly hands-on labs. After the third class offering, an additional survey of studentexperience with the new technologies was conducted. The results reflected a positive studentexperience with the course delivery.During the third offering (2016 Fall Quarter), a survey was conducted with five students fromEE110 and four students from an Advanced Circuit Analysis course (EE 341) to assess theteaching effectiveness thus far. This
thatprovided them with additional reading material and then questions to reflect upon. Rather theypreferred quests that provided them with information and asked them to complete a task basedupon this new material.The results from quest design also aligned with some comments from students’ expectations.For instance, the correlation between point value and difficulty of assignment was a concern asstudents didn’t expect to have to do more work for a difficult task. Another concern raisedrelated to expectations was the name of the platform. It can be a bit of a misnomer that thegamification platform is called 3D GameLab which implies for students that the activities theywill be doing are all game-based. Although the platform does employ best
. This is not entirely borne out by otherassessment results. As mentioned above, project completion rates are very high. However, thequality of the final programs varies considerably, though it is difficult to judge consistently. Webelieve that this variation in quality reflects variation in student understanding of programmingand problem solving and would indicate that students may be overly optimistic about theirabilities. Quiz results provide another possible point of comparison. We have collected quizresults for questions related to problem solving but have not yet completed a numerical analysisthat would provide a comparison with student self-assessment. Our first impression is thatstudents are overestimating their abilities. There appears
the students, for them to become conscious of the needto watch the recordings before coming to the class. For these implementations of the course, thestudents were asked as graded homework assignment to take notes while watching the videosand submit those notes along with a reflection paragraph about what was learned from thelecture. They were also informed that the Blackboard tracking feature was activated to keep trackof whether they actually watched the video or not. In-class ActivitiesDifferent strategies were used for in-class activities also, and the variations among the foursemesters were as follows: SPRING & FALL 2015: A critical problem in implementing the flipped classroomtechnique during these semesters was due to
prevent reflected light, we colored the white sample organizers with black paint. At a distanceof 7.5 cm between the collimator and devices, ~11 cm from the UV lamp, the intensity is ~150±15 µW/cm2. a) b) Figure 2 a) UV lamp and collimation system as set up in the lab b) Schematic of the collimation system to ensure even curing of the chipsCuring and flushing: Carefully move the device onto a piece of black foam board and cure for3 minutes in UV light. Once exposed, a faint design resembling the mask should be apparent onthe device. If the device is over-cured, a needle will not be easily inserted into any of the inlets oroutlets and the channels will not be able to be
students’ learning level can become higher in Bloom’s Taxonomy. We emphasizedsurveying the students before and after the demonstrations with discussions to get students moreactively involved in the demonstrations. Thus the demonstrations combined with surveysencouraged them to reflect on the concepts they were learning. Our survey questions weredeveloped to improve conceptual thinking and qualitative judgment aspects of the topics versuscalculation of values.Instructors need to understand that students have different learning styles to facilitate theirlearning [17]. For example, some students prefer explanations of theory before exposed topractice and others respond well when practice is connected to theory. Thus, it is important forinstructors to
student.Each class began with the same two-stage reading quiz as was done in Fall 2014 semester(described above). The second activity, team development, required approximately five minutesand consisted of two questions for team discussion. The first question was an icebreaker,designed to be easy to answer and help the teams engage in conversation. The second questionwas designed to focus on team function and cause reflection on attributes of a team. A sample ofquestions used for each question type is provided in Table 1. After approximately four minutesof team discussion, the instructor asked a subset of the teams to quickly report to the class arepresentative answer to each question, and occasionally followed up with a brief discussion onthe
perceive learning. The students’ likelihood to employ the tutorials forfuture projects very strongly correlated to the usefulness of the tutorials for the exercises, as well.Where the tutorials apply to exercises, the students seem to believe that they would also beapplicable to other practical tasks. This very strong correlation suggests that exercises may berecognized as being practical and realistic if the tutorials’ applicability to them extends beyondthe classroom. If this were the case, then it will be important to ensure that exercises foradditional tutorials reflect real scenarios in radio engineering. One motivational aspect withinExpectancy-Value Theory is the idea of utility value, which serves to motivate learners to engagein learning
,Scientific and Cultural Organization provided 14 learning outcomes for all levels of ESD whichlay the groundwork for several organizations’ and institutions’ learning objectives: Critical reflective thinking Understanding complexity/systemic thinking Futures thinking Planning and managing change Understanding inter-relationships across disciplines Applying learning in a variety of life-wide contexts Decision-making, including in uncertain situations Dealing with crises and risks Acting with responsibility locally and globally Ability to identify and clarify values Acting with respect for others Identifying stakeholders and their
patrons submitted. Figure 11. Fusion F400-S.43The summer months also gave library staff time to reflect on the first semester and a half ofoffering the 3D printing service. After careful consideration, the library believed it could domore marketing and expand the different types of workshops offered. The marketing expansionwas planned to take place in two phases. The first phase, during the fall 2016 semester, wouldinclude developing, printing and posting flyers (see Appendix B) around campus and offeringadditional workshops on new topics. The second phase, which began in the spring 2017 semesterincluded using social media to promote the service, promoting the service by telling the personalstories behind patrons
comparatively smaller classes (~15-20 students per class for the“Mechanics for Technologists” course and ~15-25 students per class for the “Metallic Materials”course). The MMET 207 lab size was held at a maximum of 16, regardless of semester offering,since this was restricted by physical lab space. It is conjectured that the different class sizes andthe resulting teacher-to-student ratio, and hence the individual attention that could be afforded toeach student could have had an impact on student perception of the topic/instructor and the classin general (and potentially performance) as well, as was reflected in the research. Further, theimpact of missing a class/day was much more significant in the case of the summer sessionoffering. Regular semester
awareness as well as major policy changes at the Government Level coupled with stricter application of RTI kind of mechanism – the future is for better. Diagram 8 below provides the comparison. Diagram- 8: Comparison of level of Ethics between Year 2015 & 2020 This optimistic view is also reflected in the CPI Ranking for the year 2016. The trend is in the direction of improvement and hence the optimism for year 2020 looks reasonable. Very Clean Highly Corrupt Countries Countries1,2,3,4 174,175,176
3-5 demonstrate exemplar student-produced schematics and photographs for (A) fast-acting valves, (B) muzzle velocity sensor circuits and hardware supports, and (C) velocity-corroborating backstops. We attribute the diversity in valve and backstop designs to ourintentional avoidance of prescribed designs, though some groups did follow through withprovided lecture material, as evidenced in the Supah-style9 valve implementation shown inFigure 3.Despite three sensor options provided for the muzzle velocity measurement circuits, groupsunanimously (14 groups of 14 total groups) chose infrared break-beam sensors as the definingelements of their myDAQ or Arduino Uno circuits, even despite prior use of the alternativelyoffered infrared reflectance
preferences for group work atthe board versus at tables on paper are illuminating. These show a strong majority of studentspreferring to work at the board, and noting the greater opportunity for collaboration that thismethod afforded.ConclusionThe value of group work at the board - for promoting collaboration, effectively reaching asolution with limited time, and learning something new – has been demonstrated here. However,it is important to take into account the diversity of student learning styles in a classroom, andpromote facilitation methods to engage, inspire, and accommodate the strengths of both activeand reflective learners (Felder and Silverman, 1988). While active group engagement is a centralgoal of the workshops, many students will gain
tests,students in MSE 440 use MATLAB to apply the analysis methods described in 6 and determinethe Johnson-Cook parameters for a Ti-Al-V alloy. Using these parameters, they then predict theyield strength of the alloy for a different set of experimental conditions.5. Impact of Curriculum ChangesSurveys administered in each course assessed students’ attitudes toward and reflections on thecomputational curriculum. Preliminary results derived from these surveys and an evaluation ofimpact on exam-based performance are discussed in 15;16 . Here, we describe new results obtainedfrom studying students’ perspectives on the computational curriculum and their owncomputational competency as they progressed through the undergraduate program.5.1. Students
support a topic using existing literature,develop a well-crafted research question, and design a clear research framework were alsoadded27.The students are encouraged to take the required three credit technology research course (TECH646) offered by the college during the same semester as Construction Research Fundamentals.TECH 646 prepares students to write and research using a standard university thesis format withan introduction to a variety of methodologies used in technology research. The group mentoringand peer reflection of the Construction Research Fundamentals course complements andsupports the mostly lecture activities of the college research course. Table 2 shows the basicoutline of the Construction Research Fundamentals schedule. Table
of student innovations from the first two projectsdescribed in Table 1. The creative space for the first project was a vertical farming system. Within thisspace, students had the freedom to consider any system they wished that utilized vertical space (or tiers)and was consistent with the goal of increased growing productivity with less fresh water. The scale of theprojects emerging ranged from a system mounted to a door in an apartment, to an indoor/outdoor systemthat would meet 100% of the vegetable needs of a Midwest American family, to a mass scale vertical ricefarm, and an orange tree farm in California. The diversity displayed in the systems was also reflected inthe target markets, which ranged from apartment dwellers, to suburban
project area may have a significant impacton team effectiveness. We notice that project preferences may initially impact an individualstudent’s performance. For example, in cases where we might assign a student to a projectinvolving multidisciplinary participation, some students may find it difficult to appreciate theirparticular role on a project. We find that project preferences may be a factor during the initialweeks of the semester when students are becoming acquainted with a project, however, a studyof end-of-semester reflective memos indicates that as a project progresses, other factors, beyondinitial project preferences provide much of the motivation needed for team effectiveness andsuccess [15]. This transient motivation effect appears to
, project work, and a final exam.Weekly quizzes keep students aligned with course lecture topics. The project work is assessedthrough establishment of expectations for a certain amount of effort (hours and LOC) put forthtoward the project. Students are expected to put effort toward every phase (requirements, design,implementation, testing, and maintenance), and they are required to document their effort in adigital journal. Students also are required to write a final reflection that describes theircontributions to the project and learning outcomes. The journal and reflection information isrequired to be aligned with information posted on Slack, Trello, and the code repository.4. Project DescriptionMobile applications are an excellent project
based on standardized nomenclature be developed to structurediscussions about and comparisons between higher education makerspaces. The classification systemwould succinctly indicate the purpose of the space and include indices that reflect the space’saccessibility, population, physical size, and levels of staffing. By establishing a makerspaceclassification system, similar spaces could be more easily compared. Also, the collective practices,standards and equipment within each category of space would produce meaningful metrics to compareeach space to the norm of a classification group.Identifying and Sharing Best Practices in Higher Education MakingUnderstanding the origins of making helps explain the adoption of this form of learning in