implement aflipped classroom structure. In this model, rather than information being shared in a groupsetting, the instructor provides individual feedback as students work on problems in small, self-selected groups. We will describe how these classes were delivered and present preliminaryanalyses of data used to study student attitudes, expectations and learning from the studentand faculty perspectives.This paper reports on feedback collected from student surveys, student interviews andinstructor reflections. The study is based on data collected during Fall 2021 at a predominatelyundergraduate institution. Each class has 30 students enrolled. The introductory course istypically taken by upper sophomores, lower juniors and the second course taken by
(choosing where to apply limited mitigation efforts tohave the intended effect) were highlighted. In advanced levels, neighboring lands may be addedto the gameboard with these lands being managed by computer artificial intelligence.Neighboring land managers can be assigned different “personalities” including Preventionist,Good Neighbor, Selfish, and Pyrophobic. With the addition of neighboring land managers, thegame encourages players to reflect on the impacts of individualistic and cooperative landmanagement strategies.After game development, instructional materials were created to support teachers in enacting aGBL experience in formal or non-formal education settings. Instructional materials includedcompiling relevant videos, essays, and age
theseassignments to better fit the project they chose, and to introduce additional assignments like individualand group reflections, and progress reports and presentations. Instructors were mindful of both diversityof and limitations in resources available to our students, which resulted in different strategies to mitigatethe necessity of any of them spending their own money without reimbursement.Lessons learnedIn this section, we describe the most salient lessons learned during our experience teaching a PjBL classonline, and how we would apply what we learned back in the physical classroom. As expected, ourexperiences did not always align, so multiple perspectives will be presented when necessary.Mailing prototyping kitsOne of the key components of the
, self-reporting an increased understanding giventhe requirement to communicate the concepts; analysis of student performance on the exams in thecourse reflected this improved understanding. Given the success of these creative projects, andthe need for ConcepTest questions related to process control, we decided to implement a similarlearning tool creation project in our Process Control course, giving students the option ofdeveloping ConcepTest questions of their own for potential future use in Northeastern Universitycourses, as well as broader use by any instructors in the chemical engineering field.This study thus sought to determine not if ConcepTests in Process Control could be effectivelearning tools, as previous studies in both other fields
, at juliepmartin.com.© American Society for Engineering Education, 2022 Powered by www.slayte.com WIP: Think-Aloud Interviews for Assessment of Engineering Students’ Opportunities to Practice Professional SkillsIntroductionIncreased levels of interdisciplinary collaborations and globalization have altered the skillsneeded for today’s engineering workforce. Non-technical professional skills—once relegated to“soft skills”—have become equally important as technical fluency. These evolving workforceneeds have been widely recognized and reflected in educational standards by ABET (theaccreditation board for engineering) and reports by organizations such as the National Academyof Engineering and the American Society for
point scale). Qualitative teacher feedback from focus group interviews and written and verbal reflections also supported this finding of Figure 2: Pre-Post Subscale Scores on TESS Survey increased self-efficacy, with teachers generally entering eachnew PD session or classroom implementation with some level of anxiety but leaving withadditional confidence and enthusiasm. More in depth analysis of additional
American Industrial Arts Association(AIAA, now ITEEA) released Standards for Industrial Arts Programs [4] in 1981). During the1980s and corresponding with the release of Standards for Industrial Arts Programs, thetechnology and engineering education profession was transitioning from a content grounded inindustrial practices of the day to a content base that more broadly reflected technologicalproducts, systems, and processes. This paradigm shift brought about a name change and cursoryupdate of the AIAA standards in 1985 to Standards for Technology Education Programs [5].ITEEA’s Standards for Technological Literacy: Content for the Study of Technology (STL) [6]was developed throughout the 1990’s, published in 2000, and last updated in 2007
attainable goal that would give some foundation for their next time through thecourse. Since a number of these students were unable to successfully complete labs in the firstsemester – they were much more focused on trying to pass the “book” modules – my second-semester requirement shown above required passing only half of the labs.Next, I set the “A” level. Part of this was obvious – of course an “A” student should pass alltopics and labs in the course! Beyond this, I also required some evidence of exceptional work.This was reflected in my adoption of the “EMRF” grading discussed above. An “E” on a quizmeant that there were no errors (or only trivial errors) and that the student clearly demonstratedunderstanding of the outcome. An “M” meant that a
this work, every classFigure 1: Example of a 'making' assignment. (Table 1: time was evenly split between theory work andsee #5 Reflectance sensing, Robot Chassis, LED) hands-on applied, or ‘making’, assignments. Eachweek a theory-based assignment and a ‘making’ assignment were due with reductions in numberof problems/requirements to allow students to work on both each week.Each ‘making’ assignment introduced new concepts in coding and electrical engineering, andnew mechanical equipment. See Table 1 for outline of all the ‘making’ assignments. To providemotivation and create connections to products the students were more familiar with, each‘making’ assignment had an associated product example. These began with simple products suchas a
first-year gateway courses beforereaching technical proficiency in biomedical engineering. Another strategy toincorporate ethics into the curriculum focuses on senior capstone courses with anemphasis on designing for clients and diverse stakeholders, but this approach lacksthe appropriate scaffolding of ethical principles applied to engineering problemsthat mirrors scaffolded technical content. Accepting the broad nature of abiomedical engineering degree, we aim to engage undergraduate students ingaining proficiency and efficacy in incorporating ethical inquiry into technicalknowledge that improves student engagement with course content and allowscritical reflection on technical challenges for their future careers. We believe thatan iterative
expansion of the CW.In the past year, we have focused on (a) analyzing extensive interviews with faculty members toinvestigate aspects of the educational systems that influence the propagation of the CW in fivediverse institutional settings, (b) a multi-institutional “Common Questions Study” expandedfrom last year, (c) student metacognitive responses to complex concept questions, (d) machinelearning of constructed responses, (d) continued development and review of concept questions,and (e) development of adaptive instructional tools.Ecosystems Metaphor for PropagationIn this project, we use an ecosystem metaphor to understand the propagation of an instructionaltool, the Concept Warehouse [9]. This metaphor reflects a socio-cultural perspective that
settings [7]. This work-in-progresspaper will outline our strategies for transforming the MCTE track at Duke University, includingthe needs identification, initial findings of student and curricular success, infrastructure changesto support our enhanced tract, and future directions to iterate on our courses. We also present thefirst iteration of our improved MCTE track courses, learning objectives for lecture and student-centered laboratories, and feedback on further improving these core courses to reflect the dynamicchange in the biomedical engineering space.From traditional engineering courses to an enhanced MCTE track Our BME curriculum requires students to take Bio201L: Molecular Biology as aprerequisite for their initial required BME
questions by having students grade them using the samerubric as the instructors. They observed that students matched the instructor-determined gradesless than 50% of the time. However, the rubric required students to discern between a “minorerror,” a “minor logic error” and a “significant conceptual error,” such that poor performance onthe calibration task may have been reflective of students’ inability to discern between these typesof mistakes.In this study we will examine preliminary data collected in an engineering statics course toobserve whether our students follow trends observed with postdiction calibration in other fields.Specifically, we are interested in determining if: 1) High-performing students are better calibrated than low
identity draws on three constructs reflected in similarresearch in physics, math, and science broadly: subjective interest in the subject, external feelings ofrecognition, and competency beliefs. That these concepts overlap with related frameworks forunderstanding students’ motivation to succeed and perform in STEM education is perhaps unsurprising,but results in a complicated picture of how EI forms and what role it might play in students’ trajectories.To disentangle expectancy value constructs of motivation and EI measures of competency beliefs, wouldrequire a simultaneous consideration of both- an approach absent in the current literature[8]. While a gooddeal of this work focuses on the factors that inform matriculation into engineering
from the larger community of thesurrounding town. Many of the students who attend St. Teresa’s live on this side of town, wherethere is quite a bit of poverty. Most students receive government-funded scholarships to attendthe private school, which is owned and run by a Black woman native to the local community.The school serves students pre-K through eighth grade. Roper Developmental Research Schoolis a public school affiliated with a University. The student population is selected by lottery andrequired to reflect the demographics and socioeconomics of the school-age population of theState. Participants were recruited and consented through a convenience sampling, by word ofmouth through researchers’ contacts in the schools and
limit their professional effectiveness since our study of engineering judgment in student writing clearly indicates that technical work is clearly mediated through communication practice. This finding is also reflected in Wilde and Guile’s (2021) use of the concepts of situated judgment and immaterial activity. They note that material production includes interprofessional teams’ idea generation and digitalFigure 2. High-level themes and sub- exchanges of ideas, suggestions, and recollections that
from over 75 interns from across the JHU/APL,16 day-of volunteers/mentors, and 8 judges (a total of approximately 25 JHU/APL staff members).There was a diverse representation of race and ethnicity, with the majority of students identifyingas Asian and Black or African American. This reflected the high participation of students from theCIRCUIT and ATLAS internship programs. Survey responding students identified as 56% male,40% female, and 4% other/prefer not to say. Academic disciplines represented by students werediverse, unlike traditional hackathons which often see participation primarily from software-oriented majors. Table 1: Represented Academic Majors at Net-Hack 2022 Academic Majors Represented Aerospace Engineering
dispositional changes in STEM self-efficacy and identity.Students completed surveys and reflections at multiple points throughout their internship,including a retrospective pre/post survey capturing dispositional shifts during the experience.The results of the internship experience on student intern participants educational andprofessional plans at the 3 sites are evaluated in this paper. Results show significant gains onitems related to professional discernment (desire to work in a STEM field, use technical skills,on open ended problems for the betterment of society) for participants at all sites. Additionally,there are differences by gender.OverviewBeginning in 2015, the College of Engineering researchers and staff at UNIVERSITYdeveloped, piloted
, and pictures describing weekly progress. Thisallowed the instructor to track the progress asynchronously and provide formative feedback.Also, the students attended weekly meetings to update their progress, reflections, and futuresteps. At the beginning of Week 12, the students were assigned into smaller groups of 5 to workon designing, assembling, and operating the manufacturing line. The training evaluation includesthe following criteria: • Task 1: Could robotic arm 1 be activated by the voice module? • Task 2: Could robotic arms 2 and 3 pick up the cube and place the cube back on the line? • Task 3: Could robotic arm 4 detect the color of the object and sort it in terms of red, blue, yellow, and green? • Task 4: Could
to understand what this process may entail.According to some graduate education scholars, there are four core elements related to graduatestudents' development of an identity congruent with the norms and values of their field:knowledge acquisition, investment, involvement, and engagement (Weidman, 2006). Knowledgeacquisition describes how students learn skills and information that will help them perform wellin their new role as a Ph.D. student, as well as gain an understanding of what academic successentails. Through knowledge acquisition, students become aware of normative expectations of thePh.D. student role and can make a realistic assessment of their personal ability to pursue theirdesired career. The student's investment reflects their
explained to students as a note-taking tool to distill their understanding of Python. For students theyare meant to act as personal documentation of Python’s syntax and semantics. In this research, rulesnotebooks were a window into students’ conceptions of Python’s syntax and semantics. We view therules notebooks as reflective activity germane to the conclusion and discussion phases of IBL.5 Data and Preliminary AnalysisOur analysis of the data from this course is ongoing, and we are collecting more data on a second iterationof the course. This work-in-progress paper reports on preliminary review of rules notebooks as well aswritten assignments and observations from the course. Preliminary analysis of students’ rules notebooksindicated that
educators’ andstudents’ implicit biases. Several theories support the concept of creating an inclusive andwelcoming environment. Most prominent is “school climate,” which is generally described as thequality and character of school life and reflects the norms, goals, values, interpersonalrelationships, teaching and learning practices, and organizational structures that shape the qualityand character of a school[22]. A recent literature review recognized no less than six theoreticalframeworks that inform research and speak to its multi-dimensionality[23]. All six developmentaltheories stress the importance of strong social bonds between teachers and students.Relevant refers to students’ experience of learning, “relatedness” with their teachers, and
find strategies to overcome them. With a qualitative approach, this study also includeddescriptive statistics to complement each other. Findings revealed that Latinx student participantsperceived and experienced Engineering as competitive and challenging, especially to interactand develop long-lasting relationships with their classmates. Also, participants reflected on thedifferent learning outcomes they gained by participating in the ROLE program highlighting theirpersonal discoveries and academic and research development. Overall, participants enjoyed theexperience of acquiring a new skillset through research activities and were highly satisfied by thecommunity building they created among all peers and mentors.Background While
-resources for Fall2021 and in-person classes with e-resources for Winter 2022, in Figure 7, indicates a slightdifference in performance in the midgrade. The weighted average scores for Fall 2021 andWinter 2022 are 3.03 and 2.93. Up to Winter 2022, the in-person class with hybrid resources had, to some extent, normaldistribution whereas the class fully online had non-normal distribution; but the mean value didnot deviate significantly. The learning outcomes for both in person and online does not havesignificant difference as reported in [6-8]. The weighted average scores reflect the reportedresults. The difference in the trend in the figures can, therefore, be attributed to the backgroundof the students.Assessment 1 and Final grades for Winter 2022
a rule (algorithm) for sorting and grouping. Then cards, describing sets of characteristics of select elements, were distributed, Sam and in small groups while debating with each other, students determined patterns and features that would be helpful in rules. After discussion of their thinking, a periodic table was reviewed to highlight how their pattern seeking and algorithmic approach to making decisions reflected how the original periodic table was constructed based on observable properties of elements.ASEE 2023, Baltimore, MD Across all cases, teachers reported that students found the instruction engaging. Teachersreported that they found that
, and self-identifying goals for the internship. - Halfway through the internship, the evaluation team met with the students over Zoom to determine their satisfaction, general feedback, and to reflect if they were meeting their self- identified goals from the survey. - After the internship concluded, the team met with the students a final time. Again, the themes of the conversation are satisfaction, feedback, and reflection on self-identified goals.Students were informed that the surveys and interviews were anonymous. They were an importantformative evaluation tool to determine if corporations should continue on with the program.IV. Discussion The grant team experienced many challenges but overall was an
methods.The assessment results from a student self-reflection survey for exposing vibration and modalanalysis support the need to expose mechanical engineering technology students to theseconcepts. Student responses to open ended questions indicate they are able to grasp someconcepts of vibration analysis using FEA as an analysis tool.IntroductionIt is understood that undesirable vibrations in mechanical structures can potentially lead toexcessive deflections and system failures. When the natural frequency of vibration of a structurecoincides with the natural frequency of excitation, resonance occurs, leading to excessivedisplacements [1]. These excessive displacements can cause an annoying oscillation in minorcases or can cause catastrophic failures
provided throughout thesemester to prepare for upcoming interventions. Mentors are trained to mentor kids in theexperience of Making, which means teaching them how to complete tasks such as connectingsimple circuits, using a 3D printer, and performing other simple Maker tasks to enhance theirSTEM learning.In addition to recruiting and mentoring practices, we report the reflections and suggestions fromstudent mentors to illustrate how they learn and progress. We also utilize descriptive data andconduct t-tests regarding training and mentoring outcomes to determine whether student mentorsmaster the knowledge and pedagogy, therefore, are confident to teach the 5th and 6th-grade kids.RecruitingOur mentors are mostly recruited from engineering and
a better world. The purpose of this work-in-progress (WIP)paper is to explore the experiences of dis/abled, queer, AFAB1 STEM graduate studentsnavigating a culture of productivity in their educational journey. This WIP paper offers a narrowpreview of the findings in a larger exploratory study. This paper begins to untangle some of theintricacies in a short narrative excerpt through a neoliberal-critical, ableism-critical, and queerlens. This paper offers an invitation to the STEM community to collectively reflect on andengage in conversation regarding our cultural norms and assumptions.IntroductionAcademia has been shaped by a culture of productivity. Responding to the scarcity of resources,postsecondary institutions have embraced
reflect regularly to guide their own improvement. While focusing on one area ata time – be it asking ‘better’ questions, building rapport, identifying signs of a fixed mindset, orany other aspect of tutoring – tutors are able to incrementally improve – and share their progresswith their Elevate cohort.Finally, Elevate trains Tutor Fellows to try to “work themselves out of a job.” This is whatdifferentiates them from many other tutors. Often, tutors will answer questions directly. Theywill explain things as magic… out of thin air. Elevate attempts to minimize the distribution of“magic beans” because each time they are gifted, the student becomes more dependent on thetutor – which is the opposite of what should be sought. In reality, the student