programs.Limitations and Future Research The findings of this study are compelling, but are limited in their scope. The number ofparticipants recruited for the current study was appropriate for a qualitative study [18], but therewere much fewer women than men and much fewer students attending the HBCU than the PWI.These numbers reflect the larger population of males and students attending the PWI; however,the lack of female students and students attending the HBCU may suggest differences in theirexperiences that are an artifact of this study rather than a reflection of Latinx students’ livedexperiences. In addition to the differences in gender and institution participation, there were alsodisparities in representation across race and national origin
contrasted againstwith the varying technological abilities of the older generations. With academic successdependent on the instruction of the generations before Generation Z, the need for clear,consistent, well delivered eLearning services becomes very significant.Limitation. It is worth noting that this study has some limitations. All of the participants are allISE students at University of Florida located in Gainesville, FL. This creates several limitationsfor this study. First, the age range is limited to the older population within Generation Z. Forthis reason, the results of this study are only a reflection of the user acceptance of this age range.Second, all participants are learning in the state of Florida the region could impact a
intervieweessaid “Be patient.” Understanding that students personal lives and home situation impact theirability to perform academically is probably the first step. Then, implementing policies andpractices in the course that reflects this understanding would be an obvious next step. This maymean providing more flexibility when it comes to deadlines, allowing and responding to studentcommunication regarding a need for accommodations – temporary or permanent (through thefull term of the course), and rethinking assessment practices.Racial Injustice. We found that racial injustice impacted the experiences of Learning Assistantsand the students they supported. The crisis of continued racialized violence against Black peoplehas an impact on students. Following
trait modeling, so as to provide feedback and reinforcement of both positive and negative traits.DiscussionStudents who participated in the fall 2019 and spring 2020 weekly teleconferences with theirproject advisors had mixed reactions to the VMC mode. Initially, they felt it was extra time toassemble the team and meet after classes were complete for the day. As a residence-onlyinstitution, none had to commute, but they valued their out-of-class time. This sentiment passedrather quickly as team members realized some of the benefits of having the team meet frequentlywith the advisor who recording the meeting. This historical collection of meetings helped to keepall team members accountable—especially when the weekly agenda reflected tasks
] investigated the relationship between learning settings (classroom,laboratory/home) and instructional use of the Analog Discovery Board on potential studentoutcomes. Their study noted that faculty and students benefited from the use of the AD Boardsand there were increases in constructs reflecting required affective pre-requisites to learning,including interest in content, motivation to learn, and confidence in ability to learn.Fowler and Schmalzel [8] stressed the importance of measurements in the STEM field asmeasurements are precursor to control, management, and improvement of engineering systems.They also noted that instrumentation is needed to perform the measurements. Hence, for effectiveinstrumentation, sensors must reliably and accurately
of students Statics 3 FA19−FA20 105 105 50 8 268 Dynamics 8 SP17−FA20 127 207 142 38 514 Deformable Solids 8 SP17−FA20 154 240 155 47 596The population data is broken down by the final grade received in the course to allow us to show how thecourse grade reflects on mastery. Note that during a semester the students are given feedback based onhow they are progressing in their mastery of each objective, never a letter grade. This mastery-gradingapproach is cumulative throughout an entire semester which often takes students until
known as antenna ranges.many of the same students will soon be relied upon to design much more complex systems andtheir components.2. BackgroundProject-based / Problem-based learning (PBL) has been increasingly prevalent throughoutengineering curricula. Pedagogically, both approaches are similar: students work collaborativelyto address complex, ill-structured problems which reflect problems encountered in real lifewithin engineering. In this pedagogical approach, students engage in self-directed learning togather relevant knowledge and identify knowledge gaps; instructors serve as coaches to helpstudents identify necessary information to solve these problems. Problems are framed to fosterskills in knowledge acquisition and problem solving, as
of academic careers for fellows across theintersectional identities of race/ethnicity, gender, first-generation status, personal experience as acommunity college student, and Pell Grant status as an undergraduate. Given the need forcommunity colleges to hire faculty in STEM fields that are reflective of their racially and ethnicallydiverse student population, the research findings will serve to offer recommendations for futurework that is geared towards effectively preparing Hispanic STEM doctoral students to consideracademic careers at teaching-intensive institutions such as community colleges.To achieve the above-referenced goals in this grant, three research tasks are being pursued. Theprimary, and most labor intensive, is conducting semi
, similar to Martin and Garza [39]. This approach allows us to centerKayla’s experiences, and dismantle the “researcher-participant hierarchy” [37, p.1]. As Kaylajourneyed through her undergraduate career, she journaled her experiences in a shared document.Gretchen went through the entries probing for deeper reflections, finding underlying themes, andraising new questions. Over the course of a year, Kayla and Gretchen met bi-weekly to go overKayla’s experiences and discuss things such as the impact of gender, impacts on her engineeringexperience, interactions with classmates, and interactions within work settings.Specific to this paper, we focused on Kayla’s experiences with her internship over the summer of2020. Kayla journaled her experiences and
. Figure 1. Flow Diagram for Study SelectionWhat types of assets do students bring into engineering programs? What are implications ofasset-based approaches to engineering, engineering design process, and design pedagogy?Different student groups hold different assets in the form of cultural wealth and/or funds ofknowledge. Here, we summarize (see Table 1) assets by student subpopulations and theirimplications to engineering and engineering design education. Neither the student subgroups northeir corresponding assets and asset categories are meant to be exhaustive in nature. Thesummary in Table 1 reflects evidence found in the literature and are only meant to be illustrativeand of practical value to engineering educators.Table 1. Summary of assets
learned certain tools, or whichtools they had used prior to this semester and their college entry. Given the time between whentools were used and when students completed the surveys in question, their answers may nothave perfectly reflected their experiences. This difficulty in recalling the timeline of tool usageand when tools were learned is compounded particularly with simple tools and features of themakerspace, such as hand tools, whiteboards, or even a desk. Given that such tools and featureshave particularly interesting ramifications for makerspaces efficacy and their outcomes, theinformation lost from this could be considerable.While the information gathered does not perfectly capture how makerspaces are being used andthe motivations
the project, and to obtain more technical conclusions. Also, the theory ofmatrix analysis will be implemented in courses of structural analysis including more applicationof advanced software.The surveys about team working shows that the students expressed interest in the topics, mainlybecause of the practical applications and importance for society. Also, students show highperformance working in teams, which is reflected in the quality and timing to complete thecapstone projects. The capstone related with the coliseum was done during the Covid-19pandemic and students used different online tools to permit a successful coordination of theirtasks, which also reflected their high team working skills.This type of project permitted the application
" ) OR LIMIT-TO ( EXACTSRCTITLE , "ASEE Annual Conference Proceedings" ) )Next, we perform co-occurrence analysis [5]–[7] to classify and map co-occurred words andphrases among the collected papers related to PBL and VR to describe research trends. Figure 3presents an illustrative example of co-occurrence analysis with three hypothetical documents(Doc 1-3) and the resulting map/network of keywords/phrases (denoted by A, B, C, E, R, W, X). (a) The three documents and their keywords used in the example of co-occurrence analysis. The size of nodes and length of links reflect the number of co-occurrences
‘second’ industrial revolution, includingelectrical engineering [2], mechanical engineering [3], and chemical engineering [4]. In theUnited States, civil engineering’s professional society was formed in 1852, followed by miningand metallurgical engineering in 1871, mechanical engineering in 1880, electrical engineering in1884, and chemical engineering in 1908. Although professional societies can also be used to datethe official establishment of a discipline, they do not completely reflect the status of thatdiscipline’s educational standards and curricula. As the education of engineers began to shifttowards science-based education and away from vocationally-based education as a result ofWorld War II, a more diverse set of engineering disciplines
the HODA and practice the systems tools they learn from CST course byexplaining their experience and observations. The original debriefing has four steps [10]: “tellthe story; graph the variables; make the system visible; and identify the lessons” (pp.7-9). Anadditional step, which is to explore the connection between the HODA and the aviation industry,is included in the CST course by the instructor. In the CST course, the debriefing includes in-class debriefing and an after-class full report.In-class debriefingThe in-class debriefing led by the team leaders is conducted immediately after the HODA. Theleaders guide students to discuss their observations and reflections on the system structureexisting in the HODA using a series of steps.Step 1
Instruction using revised Bloom Taxonomy References[1] L. W. Anderson, and B. S. Bloom. “A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives.” Longman, 2001.[2] American Society of Civil Engineers. "Civil engineering body of knowledge for the 21st century: Preparing the civil engineer for the future." [Online] American Society of Civil Engineers, 2019.[3] K. Whalen, “The Reflective Learning Framework: A guide for students and educators.” (2018). [Online] https://asp.mcmaster.ca/wp-content/uploads/2018/10/The-Reflective- Learning-Framework-08.2018.pdf[4] S. Buckles, Stephen, and J. J. Siegfried. "Using multiple-choice questions
expertise of the team. Coordinated iterative cycles of reflection and action were usedfor instrument development [30-31]. The instrument currently has seven baseline categories thatcould be applied to all ERC population groups and will be used to conduct cross-ERCcomparisons. Table 1 documents the baseline categories (excluding demographics):understanding of the ERC, impact on skills, culture of inclusion, mentorship experience, futureplans, and program satisfaction. These six categories were extracted from the NSF ERC BestPractices Manual [3] and ERC program solicitation [32] as cross-cutting categories that NSFrecommends evaluating to monitor ERC progress and impact around workforce development andculture of inclusion initiatives. Comparisons
pedagogicalresearch because they quantitatively and non-invasively reflect brain activity. However,commercially available EEG devices are often either prohibitively expensive, or do not offerthe correct capabilities such as enough electrodes. This work-in-progress study aims toaddress this gap through the design of a low-cost, easy-to-use, and effective EEG headset forengineering educational research studies. The current study includes a relatively small sample size (N=6); however, it doesidentify some preliminary trends. For example, although most participants found the authors’current design to be more comfortable than commercially available designs, the design alsohad a much larger range of reported comfort levels. Additionally, no distinct
acoustic reverberation times of a room intwo states: either relatively empty or with added materials to absorb sound. The reverb time wascalculated using both the full bandwidth recorded signal and a filtered signal using the standard250 Hz octave band. The learning objectives were to: 1) Read and apply key, excerpted aspectsof a test standard (in this case, ISO 3382-2 [12]); 2) Adapt a test standard to an at-homeenvironment and identify key differences with the test standard; 3) Record acoustic data andperform simple processing using MATLAB to calculate the reverberation time of a room; 4)Design a digital bandpass filter to filter data into the 250 Hz acoustic octave band [13]; 5)Generate conclusions on the acoustic absorptivity and reflectivity
. After the first read-through, we assigned one or more codes to specific lines of text in the transcripts andsupplemented the codes with comments. The comments included further detail explaining whythe codes were used, the feelings of the coder at the time of coding, or possible links to previousliterature or concepts. This thematic analysis led to the four emergent themes based on the datafrom the six interviews. These four themes reflected trends in the experiences of these women.The codes “Confidence/Pride and Empowerment” and “Moment of Pride” were present in theoriginal codebook, but their definitions leaned toward circumstances that did not match thesenew code definitions. Instead, lack of confidence or valuing one’s own achievement
critique) they referenced some specific aspect of the learningenvironment or experience that could be improved. Including such examples and descriptionstakes more time and effort to produce as a more careful reflection of the student’s learningexperience, and thus could be seen as an indicator for student engagement.We expected that if the course improvements increased the level of student engagement, twothings would happen in the course evaluation comments: (1) sentiments would discernibly shiftfrom primarily negative to primarily positive; and (2) sentiments would discernibly shift fromaffective to behavioral and cognitive. As expected, with better alignment between courselearning objectives, pedagogical methods, and assessments, the overall
increasing behavior until the completion of the project.Additionally, the survey provided open-ended questions where students could identify the factorsthat affected the changes in their perceptions. This group was very satisfied with theirexperience and one stated that “…it got more exciting and we could see the project comingtogether.” This comment was shared by all 80% of this group. This is clearly reflected in theincreases in enthusiasm.Note that this student cohort was also included in the Alumni survey, as these students graduatedin the spring of 2019. Artifact Display Case, Project 1 7 Average Student Response
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
outcome-oriented and driven by a need to complete a particular tasks, requiringsome expertise to do so [7]. Part of becoming an engineer is learning how to participate inengineering discourse and this process is complex, interactional, and non-trivial [7]. Thesecommunication processes are also reflective of professional engineering practices [8]. Onedesired aspect of having students participate in engineering design challenges is that they learnan age-appropriate engineering design process to support the growth of routines in engineeringdiscourse.McCormick, Wendell, & O'Connell [9] remind us that engineering offers the chance for students“to work toward important goals that teachers already have for children: to become betterdecision makers
community but also instilled some disciplines in students who needed to juggle theirbusy class schedule and the other activities. Students also reflected later that this course addedthe needed breaks for otherwise a brutal first year.Common engineering service activities our students engaged through this course included localcounty science fair, school district STEM events, tutoring to fellow students, and many others.However, the most popular service opportunity for most students was the annualMATHCOUNTS competition, simply due to the large number of students involved. It was alsothe most convenient one since it was on campus (travel not needed). For many students, findingopportunities and serving for 30 hours within two years presented a
with the extracted strategic directions to determine whether there is a mismatchbetween CSER’s research foci and the strategic directions with the academic publications. Theauthors of the papers often selected the publication keywords based on their work knowledge,mainly using generic terms as they reflect a rough overview of a scientific discipline or representpopular themes [3]. To investigate whether the keywords chosen by authors align with the topicsrepresented through the paper abstracts, we explored the NLP technique named Term Frequency-Inverse Document Frequency (tf-idf).Tf-idf [45] is a method that identifies important terms by the product of two statistics, term fre-quency and inverse document frequency. It is intended to reflect
part of the course.Another faculty member mentioned spending time reflecting on how best to approach groupprojects in the online environment. They stated, “I had a group project in the spring and they hada hard time working together in terms of common times and just engaging at a distance, so ifthey’re not all on campus, and not even in the same time zone, it created some challenges.”In terms of a positive impact due to COVID-19, one faculty member mentioned that recordinglectures as videos provided the opportunity to “flip the classroom” and change their typicalteaching method. This was something they had wanted to incorporate previously but did not havethe time or opportunity. However, one faculty had the opposite experience. As a more
NGOs decision-makingwith respect to the communities they serve. So it is ultimately their commitment andaccountability to their values (see 4.1.1.1 above) and accountability practices that determinetheir downward accountability with communities.Three key variables determine how NGO accountability to communities is reflected inpractice: depth, openness and frequency. Depth is related to communities' access to NGOmanagement, what knowledge communities have of NGOs, how relevant topics discussed atmeetings are to communities, who gets to speak at these meetings, and how controversialissues are handled at these meetings. Openness is reflected on meeting’s agenda, format andconduct. Can community concerns be formally aired during meetings with them
https://www.facebook.com/EducacionMML/videos/674893209771107 b) Live broadcast. The Live broadcast is done through the social networks of the Municipality of Lima-Peru. While the facilitator presents the activity, the group members read the chat and comment/respond /interact with the participants (Figure 2). Figure 2. Live transmission example https://www.facebook.com/EducacionMML/videos/253309426000090c) Closure of activity. After participating in the activity, the group members share their reflections and attend to the participants' questions and communications through the Facebook Live chat (Figure 3). Figure 3. Close of the live transmission with the members of the
3.07(1.07) 4.00(0.82) from other disciplines Accurately recognize goals that reflect the disciplinary backgrounds of 3.00(1.18) 4.00(0.82) other team members Talk about a project design using other discipline language 2.86(1.17) 3.86(1.07)rated as the least confident (M = 2.86). A total of 13 students completed 4 sets of knowledgequestions and confidence level rating in the survey. There were 8, 6, 10, and 3 students whoprovided the correct answers respectively.Post-survey: In student rating of the 8 topics in terms of their importance to future career, 3topics received the highest scores: Integration of