Students [4]. Then in Inclusive Classrooms, we presenthow individual unconscious biases can affect us and our classrooms as teachers and encourageTAs to self-reflect on their role as authority figures in some scenarios and confront their bias wherethey can.Lessons Learned NEO has been offered since 1997; the authors have been presenting NEO in its currentform since 2016. Each session we ask attendees for self-reported feedback (free response questionsand Likert scale 1 to 5 on knowledge gained, quality of content and presentation, and satisfactionwith workshop). Data collected are intended for program improvement and are not rigorous. Thelessons we have learned over the past several years will help to shape the future of NEO. TAs
National Science Foundation (NSF). This material isbased on work supported by the NSF under Grant No. 1827733. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author and do notnecessarily reflect the views of the NSF.References[1] Diefes-Dux, H. A., Moore, T., Zawojewski, J., Imbrie, P. K., & Follman, D. (2004, October). A framework for posing open-ended engineering problems: Model-eliciting activities. In 34th Annual Frontiers in Education, 2004. FIE 2004. (pp. F1A-3). IEEE. Appendix A – Take-off Chart Panel Number Dimensions Weight for 1 panel Quantity of equal Panels
) participate in an organizedservice activity that meets identified community needs, and (b) reflect on the service activity insuch a way as to gain further understanding of course content, a broader appreciation of thediscipline, and an enhanced sense of personal values and civic responsibility” (p. 112). Service-learning has been found to enhance students’ collaboration skills [5], civic engagement,interpersonal skills [6], [7], and their ability to apply knowledge to problem-solving [8].There is a large variety of service-learning projects developed at other institutions of higherlearning [9] – [11] such as EPICS (Engineering Projects in Community Service), PROCEED(PROGRAM FOR COMMUNITY ENGAGEMENT IN ENGINEERING DESIGN), PublicService Design
that contribute to how women develop their engineering identity and persist inengineering programs is necessary in understanding student satisfaction, achievement, andoutcome expectations. The following section presents the theoretical framework and for the proposed researchwhich includes a brief review of notable research on identity theory and women in engineering.The methodology section outlines the proposed participants, data collection, data analysis, andwill be followed by a discussion of major findings for this study. The paper will conclude witha discussion of the results, implications of the findings, recommendations for future research, anda personal reflection on the research process.Theoretical Framework and Literature
range, and include the budget in an appendix to the primary report as well. The limitedbudget forced students to (in some instances dramatically) reconsider their recommendations,now striking a balance between satisfying their client and meeting ethical obligations to deliver asafe final product to consumers.The project as whole reflects a number of innovative pedagogical approaches that dependedentirely on the full integration of instructors, researchers, and librarians: the entirety of thepedagogical case study, including the syllabus schedule, the assignments, the instructionallesson, and the assessment was developed collaboratively. This unique approach provides thebasis for the authors’ results and discussion.Results and DiscussionAt the
integration of the fundamentals learned in ENGR 110. Included amongstnumerous skills institutionally-identified as “fundamental” was programming, hence all SSoEengineering students – regardless of discipline – are exposed to edification in the basics ofprogramming.Associated programming curriculum developed for this sequence was heavily influenced by adesire to reflect the varying nature of programming applications throughout industry and theengineering profession. In other words, it is virtually impossible to expose students to all of thepossible programming “styles” and dozens of varying programming languages rampant in themodern work force. Accordingly, pedagogy throughout both ENGR 110 and 111 has beendesigned to expose students to multiple types
poster.FundingThis project is funded by the National Science Foundation under Award XXX- XXXXXX. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] N. Veurink and A. Hamlin, "Spatial Visualization Skills: Impact on Confidence and Success in an Engineering Curriculum," presented at the 2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011. [Online]. Available: https://peer.asee.org/18591.[2] E. Towle, J. Mann, B. Kinsey, E. J. O. Brien, C. F. Bauer, and R. Champoux, "Assessing the self efficacy and spatial ability of engineering students from multiple disciplines," in
why he left engineering, then the university altogether because he could not align hisown goals for systemic change with the many chemistry and math classes required of theengineering degree. He was much happier working with his hands, playing music, and gettinginto an Internet of Things startup company. Travis had more significant mental health challenges(medically diagnosed before entering college), and his story is further elaborated below.ConcussionsCombining both the physical and mental health issues were a surprising number of concussions.As referenced in the first section, traumatic brain injury is more common than may be expected,but it was still a surprising finding that three students: Miranda (yr2/reflect yr3), Tucker (yr
semester they standardized it [labs], which made itvery hard for just a one credit class, and it's just too much work that you have to put into it.“-DeviBalancing in-class and out-of-classWe asked the students to reflect on how their time is being distributed between being inside andoutside of the class. Out of the ten participants, five students commented on spending more timeoutside of the classroom, mainly dedicated to studying and completion of assignments. Therewere three students who felt that their time balances out between inside and outside of class.One of the students highlighted how the class meeting time is relatively limited, which leaves themajority of the day to the students to spend however they like: “there's definitely a lot more
work may include women who were on the verge of choosing engineering but choseanother career path. This work may also investigate other groups within the U.S. and Moroccancultures. A quantitative approach may be implemented to produce more generalizable results thatmay produce a broader impact.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant N.1927125. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] R. A. Ellis, “Is U.S. Science and Technology Adrift,” Science and Technology, 2007. .[2] T. U. . News, “The U.S. News/Raytheon STEM
programming than their peers in fall 2018 is higherat 49.4% than subsequent semesters. There is no substantial difference in perception of femalescross the semesters. Male students largely do not express a perception that they are better atcomputer programming than females.Figure 4. Perceptions of Males versus Females in Post- surveys Fall 2018 and Fall 2019(Column labels are in percentage).The racial demographics of the classes studied reflect the underrepresentation of racial minoritiesin computer science education. All fall 2018 data is from CS0 students with a major in computerscience or software engineering. Spring 2019 data represents CS1 students not in a computingmajor, while the fall 2019 data is from CS1 students in those computing
6D. The Defender - (strategic/ annotated design reflective diagram knowledge about about how to solving problems) -Which events could not have happened? -How is …similar to …? -What are some other outcomes? -Is there a better solution to…? -Can you design a…to…? - Why did …occur? -What do you think about…? -Can you see a possible
, and proximity toother objects were measure before the new drawings course was introduced and following theimplementation of the course. No statistically significant changes were observed in thesemeasurements. Instructors of this follow-on course noted that there was some improvement instudent’s ability to produce site maps and drawings, though the improvement was not large.These survey results displayed in Figures 2 through 4 may reflect some of the difficultiesencountered in the first offering of the course including the need for additional student supportsfor the demands of this new course. 25 Before After 20 % of Students 15 10
Sponsorship Brochure (CSB): a chapter fund development template that is consistent with the CMT and NRP Reports for chapters to use to secure funds. Table 6 shows the NRP report requirements for NRP v.3. Unlike its predecessors, the NRPv.3 requirements are minimal recording the most valuable information to ensure full use of thechapters’ ecosystem with SHPE national support as an equal partner. Reducing the NRP v.2requirements to two pages, the chapters provide their accomplishments and supporting quantifiableevidence. Support needed and lessons learned encouraged chapter leaders to reflect on theirperformance based on the results of the previous two pages in the report. Fig. 3 shows thecontinuous cycle guiding chapters on how to reflect on
Means Online, MS Project, Synchro, Bluebeam, and Recap.The hands-on portion of the course is currently divided into four modules: (1) model-based costestimating, (2) scheduling and 4D simulation, (3) design coordination, and (4) as-built modeling.Each module takes four classes to complete, which include: an introductory lecture on that topic,two hands-on lab classes, and a reflection class where two (out of eight) student teams presenttheir work for that specific module. The longest hands-on module of the course is designcoordination as it includes an industry-led, mock-design coordination session as well asdiscussions on BIM Project Execution Planning. In addition to the hands-on portion of thecourse, the students are also exposed to industry
and divided into units that can be coded viaa coding scheme that is based on a priori theoretical assumptions about the processing involvedin the task at hand. Both the frequency of the coded verbalizations and the sequence of thecoded verbalizations can be used as measures of metacognition.Metacognitive declarative knowledge is more likely to be validly measured by off-line measures.[15]. Metacognitive declarative knowledge reflects stable knowledge and beliefs about oneselfas a problem solver and stable traits that one has about performing specific cognitive skills. Aperson’s stable knowledge, beliefs, and traits, although potentially influencing one’s cognitiveactivity, can be retrieved at any time, are resistant to change, and can be
classroom, both the instructor and student can objectivelyobserve this metric. Instructors can use the metric to tailor delivery of the course material,spending more or less time on concepts, and move away from ineffective teaching methodsand towards effective methods. Students, given this knowledge of their own engagement,can reflect on why they may be disengaged, potentially become motivated to improve theirengagement, and communicate effectively with the instructor to seek assistance. Once theproblem of disengagement is identified and associated with specific classroom activities andconcepts, both the student and instructor can work together towards a successful learningoutcome.1.3 How Measuring Engagement Facilitates Better Evaluation of
collection of responses and not in terms ofeach individual perception of the system.Responses were grouped into usability and learnability subscales. Ninety-two responses for eachsubscale were coded and used to calculate the mean. Because the statements alternate betweenthe positive and negative, care is taken when calculating the mean [20] for each subscale. Thelatest research suggests that negatively worded items should not be used because they measuredifferent constructs [22]. To address this issue, items from even numbered statements werereverse scored before calculating the mean score. The first subscale reflects responses related tothe participants’ perception of the usability of the method. For this subscale, the mean score wascalculated from
, timers, counters, calculations, conversions, logic into the programming environment thatcan be used in placing and moving objects. The output menu exports the game into the VR Plazamode and also performs outputs like lighting up the screen, make sounds, vibrates, and emitslights – for making game effects. After the menus are covered, a quick review on them weredone by asking the participants to reflect. Similar to other computer software, the developmentenvironment has three visual display modes the Game, 3D, and 2D Views. The participants wereintroduced to the three display modes (Figure 4) before the game development exercises started. Figure 4. (a) Game, (b) 3D, and (c) 2D ViewsDeveloping a Simple GameParticipants were
) Reflection and Association, and(7) Prior Ethics Training. In addition to a separate ASEE manuscript detailing these results [50], apaper presenting a methodological overview on strategies for pairing phenomenography with CITis in development [52].Future WorkFuture research related to RQ1 will include (1) finalizing a set of categories; (2) identifying therelationships between categories; and (3) generating an outcome space that presents thatcategories, their dimensions of variation, and the inter-relationships between categories. Thisanalytic process will be further supported by developing “themes of expanding awareness” whichrepresent key features of each category that manifest in different ways for each category. Thefinalized outcome space will be
, Significance, Futuristic—whether I use their language or use the themes as starting points for describing myself using my own words. Writing prompts: • What are some strengths of yours that other people have commented on, and how have these strengths affected your accomplishments? [16] • Do you feel as though you have a gift or calling? How can you share this gift or best answer the call in a way that will fulfill you? [17] 2. Reflect on your values. My core value is relationships. Indeed.com suggests that you might also ask the people who know you best what they believe you value. 3 Writing prompts
matriculate, but had completed the requirements, as they now were forced tomatriculate to continue their studies. Since Fall 2017, the percentage of pre-construction majorshas been steady in the 60-65% range of the total construction student population. Thispercentage is still much higher than what was anticipated based upon academic requirements.BackgroundThe two needs identified in the self-study (retention and academic support) lead to the theoreticalunderpinning of this proposed study, Tinto’s theory of student engagement and retention [1975,1993]. The theory identifies the pre-academic individual’s identity, educational and socialexperiences, and family influence as both “predictors of and reflections… in that collegiateenvironment” (Tinto, 1975
all statics problems, including particle problems and rigid body problems; the calculationof internal forces or external forces; and problems involving a frame, a machine, or a truss. Thisapproach is also applicable to solving problems in other courses such as Strength of Materialsand Dynamics. In this approach, the first step in solving any problem is to articulate a “Strategy.”This simple step requires the students to take a few moments to reflect on the problem and writedown a strategy rather than trying to pattern match or “find the right equation.” If the strategy isNewton’s 2nd law, which it often is in Statics, then the next step is for students to “Choose aSystem.” Students are required to define the system by drawing a dotted line
this orother process of deeper inquiry.Instructors can also receive useful feedback. Obviously, the results of an initial poll give awindow into what students initially grasp. Later, after repolling, the instructor can view thechange in the students’ responses and reflect upon the effectiveness (or lack thereof) ofadditional comments or explanations. It is indeed humbling for an instructor to experiencenegligible or even “incorrect” changes among students’ responses after “the perfect explanation”has been given. Hopefully, this is part of a formative process in which instructors can betteranticipate what students reasonably can – and cannot – absorb within a certain scope ofconversation or allotted time.Student Feedback:All three cohorts were
individual peer evaluation of the ideas presented in another team’s projectposter. Second, it was used for team self-evaluation and review of their final draft. Finally,students were asked to reflect on the sheet in their final course reflections by responding to theprompt: “Consider your project and the ones you reviewed for your teammates, as well as thecase studies we looked at in class. Would this sheet help problem solvers catch problems oridentify risks before they happen? Give your suggestions for improvement.”Generally, the students found the sheet comprehensive and helpful for identifying issues theymight not have otherwise considered. One said, “Something as simple as this would have beenable to avoid, at the very least dampen, some of the
reflect on their mentoring practices to be a rewarding experience. We suggest thatpotential and current RIEF grantees should consider these themes and their personal preferencesas a mentor or as a mentee in order to improve and deepen their experience with RIEFmentorship.Limitations. The primary limitation of the study is the specific set of circumstances regardingthe population interviewed. The power dynamics at play between the mentors and mentees andthe expert-to-expert style of mentorship is potentially not generalizable to the training of otherengineering education researchers, such as graduate students. While a relatively large sample ofRIEF grantees was interviewed, potentially offering a strong profile of RIEF grantees, most ofthe
to themas long as they are UIC students.For the non-therapeutic content, the research team leaned heavily into the work being done bythe Office for Research on Student Success, particularly a tool called Non-Cognitive Profiles(Appendix). The percentages to the right reflect all students who participated in the survey. Forparticipating students, the areas of highest concern were identified as the student’s likelihood toseek help/view help-seeking as non-intimidating and the student’s confidence that s/he willbelong in college. To address the academic help-seeking, the research team attempted tonormalize interactions with professors, which can often be intimidating to new students. Anengineering faculty member either lead or co-facilitated
opportunities.Qualitative ResultsQualitative feedback from KickStarter participants collected in regular surveys during theprogram indicate that the KickStarter process is highly valuable in building strategic STEMeducation research capacity at the 24 participating 2-yr HSIs. Participants have also reportedimproved ability to achieve other federal grants. Examples of qualitative comments include:KickStarter has provided us with the infrastructure to develop a strong leadership team,evidence-based goals and a strategic action plan, and well-written proposals that reflect NSF'sambitions.Everyone at the college involved in STEM agrees about the goals in the STEM plan. Making thegoals more tangible and focused is helping us to anchor proposals in a way we
learning, project-based learning, inquiry-based learning, andchallenge-based learning.In the Control Systems course in the Electronic Systems Engineering Technology (ESET)program at Texas A& M University, students were introduced to the Maker Culture in class.Laboratories were re-structured to support students’ effort to work on course projects that theychose on their own. This had a positive impact on the motivation of the students. A Mini-MakerFaire was organized at the end of the semester where student did demo and presentation. Theproject evaluation was also changed to reflect the Maker Culture spirit: whether your designworks or not is not as important as what you learned in the process.Although the subject has been discussed by many
(includingcommunicating, persuading others, setting goals, and problem solving), and suggest that futureresearch also evaluate cognitive and affective outcomes, as these have been shown to beimportant in shaping behaviors (Kahle & Berman, 1979). Their review also indicated that mostprograms used approaches to program implementation that were convenient and inexpensive andsuggest that programs should include more practice, such as reflective activities, role-play, goalsetting, and games. Given that the majority of programs used self-report assessments, Reyes etal. also suggest that researchers consider best practices for program evaluation, in particular, toavoid endogeneity concerns within the evaluation data. Through their meta-analysis, theyidentified