socioeconomically just engineering education. American c Society for Engineering Education, 2021 Week of Action: #EngineersShowUp as intersectional advocatesIntroductionIn this roundtable and open panel discussion, members of the engineering education communitywill reflect upon their experiences during a planned week of action that took place February 23rd– 29th as part of a larger project on addressing root causes of inequity. This event follows aplanning and organizing workshop held at the 2019 CoNECD conference, and continued effortssince then to meet virtually and plan towards collective actions to build awareness and shiftnarratives. Through these meetings and open-ended
help them with distraction and how to effectively work at home. 7. Emphasize care and empathy in your work with students (Atman, 2020). As novices learning unfamiliar tasks in an environment that currently is stressful, students may feel anxiety. Tell students about your own experiences with working remotely during the pandemic and strategies that worked for you. Consider using reflections with students to help them process their experiences and identify challenges.As we live and work in the COVID-19 and (eventually) post-COVID-19 eras, we will continue tolearn best practices for working remotely, including conducting research with undergraduatestudents. Our hope is that some of the strategies we have
with it) does not elicitthese same benefits.We only analyzed results from students’ first attempt on the Lesson 1 Quiz. After taking thisquiz, students were able to practice the problems and then retake the quiz. Students wererequired to earn 70% to move on to the next lesson. Therefore, scores on all but the first quizwere relatively high, leading to a restricted range in the data. We reasoned that the first quizattempt reflected knowledge gained after the activity and instruction, which were the target ofour intervention. However, students were aware that they would be able to retake the quiz,potentially impacting their motivation on this assessment. In our future research using thesematerials, we may make the first quiz worth more points
tackleadvanced manufacturing problems through data science. The Engineering Learning frameworkuses cognitive principles in the development of online courses (Spiegel, Sanders, & Sherer, 2018a;Spiegel, Sanders, & Sherer 2018b). As the framework states, “Engineering Learning is anintentional design process that positions students to cognitively engage with content and data usingprofessional tools, while interacting and collaborating with peers to develop their contentexpertise, skills, and professional practices. The end goal is to create the richest opportunities forstudents to become innovative STEM leaders.” Principles included in the framework includealignment with student learning outcomes, engagement with active learning, reflecting on
and exploring the sensor response for different relevant testparameters such as sensor (probe) size and characteristics such as frequency and type (absolutevs. differential) as well as test material properties (see the example for ET in Figure 1). In thisexercise, the students are first asked to predict the sensor (probe) response (based on what theyhave learned in the lectures and reading materials) and then calculate the response using thesimulation software (Figure 2). Afterwards, the students are asked to analyze the response inlight of their initial predictions and reflect on any mismatch. In this first exercise, the studentsonly study the probe physics and not the probe interaction with a flaw, which will be explored inthe second
“third nature” [6]. These traits build on biogenic [who you are] andsociogenic [how you are doing] [6] to make us who we are. As described by Kolb & Kolb [13],“because of our hereditary equipment [biogenic, who you are], our particular life experiences[sociogenic, how you are doing], we develop a preferred process of learning” [13]. Individuallearning style refers to style or learning methods used in the process of learning. Thinking,processing information and acquiring knowledge are processes that differ from student to student[14]. Fleming and Mills [15] suggested four modalities and the related questionnaire that seemedto reflect the experiences of the students in learning: Visual Learners (internalize and synthesizeinformation when it is
, the database cancontort to the developing demands of the learning environment. Overall, the process of the newimplementation has reduced the points of failures by partially automating previously manualaspects. Ultimately, meeting the goals set out by the first iteration. DiscussionsFuture WorkWith the conclusion of the second iteration comes reflection and observations made while lookingat the operation of the model. Although the aspects of progress report generation have been eased,and the ability to analyze information previously unable, the full process still requires the user tomaintain a level of technical knowledge. Additionally, the aspect of data entry has still been largelyuntouched.With the
product in need of illustration.The students selected for this novel approach to undergraduate research, Jenny Zhupan, EvelynNg, and Edward Alston, were specifically tasked with building interest, engagement andunderstanding of a STEM subject. As students coming from a NON STEM discipline, theillustration team was challenged to consider what it would take to get students like themselvesmore involved with the subject matter. They were asked to reflect and then propose methods ofmaking the text appealing and understandable to different kinds of learners.The methodology of the program, pairing student designers, with a researcher in the role of clientand communication design faculty as creative director was specifically chosen to
recorded by participants through the YAMAY SmartWatchSW023 (Fig. 1) and collected by using a shared excel file whose members include those willing toparticipate in the experiment. Then the algorithms selected predict the targets from the features inthe data collected and which are rated for their accuracy. Figure 1 YAMAY SmartWatch SW023 used in the projectThe YAMAY SmartWatch measures the heartrate, blood pressure, and blood oxygen of theparticipants before and after an activity. Inside the YAMAY SmartWatch, an optical heart ratemonitoring (OHRM) uses a photoplethysmorgram (PPG) sensor to detect changes in blood volumeby measuring the amount of light that is reflected or absorbed by the blood vessels [5]. The PPGsensor can
but should represent a good cross-section of likely personality types that the studentswill most likely encounter in professional life. In large classes, multiple groups can be runningconcurrently, while any remaining students can be observers of the scenarios. It is important toengage all students; therefore, any student that is not actively playing a character in the 1st Scenarioshould be a character in the 2nd Scenario. Two scenarios were sufficient to allow the student’s timeto role play the scenarios, come up with a plan to solve the scenarios and allow for classroomdiscussion, feedback and reflection on each scenario. The most interesting comments came duringthe reflection time after the role playing was completed and should not be
same lab) worked together on the same mini project.After the boot camp, teachers joined their research group in pairs and spent the remaining fourweeks working on a research project with a mentoring team consisting of a computer sciencefaculty member and graduate students. Weekly social events were planned and attended by allparticipants and research group members. Weekly research seminars gave teacher participants achance to reflect on what they learned each week and to report their progress and next steps tothe entire cohort of teachers and research lab members. During the six-week experience, teachersalso worked regularly with a science education faculty member to develop student-centeredcurricular materials using a lesson plan
of course scale-up from 6 sections in Spring 2014 to 10 sections in Spring2015 to 15 sections in Fall of 2018. In the decision to scale-up the course, key indicators ofsuccess were considered: (1) course enrollment numbers, (2) end-of-semester evaluations, and(3) students’ individual course reflections. When taken together, these key indicators were anespecially vital tool in the decision to scale-up the targeted course.Figure 2: A history of course section scale-up from Spring 2014 to Fall 2018.Sustained Enrollment Numbers Enrollment numbers for the targeted course have remained consistently high sinceimplementation. An analysis of enrollment data from Spring 2014 through Spring 2018 showed acourse enrollment average of 99% (see
own learning. A common misconception is that self-directedlearning can only occur in isolation from all other input from either the educator or fellowstudents. Students can work in a highly self-directed way while being a part of a larger team.Notably, a salient trend in the research suggests that students with highly developedself-directed learning skills connect and consult with a range of peers and leverage theirlearning network to make their choices about the direction of their learning [1].Foundational literature that examines the construction of a successful self-directed learningenvironment suggests that learning should reflect three distinct parts: The learner, the educator,and the learning resources [2]. Significant parts of this
concept or how to proceed, students reflected thatEOEs stepped in to help them figure out how to move forward, providing encouragement andsupport throughout. Their comments suggested that the goal of the EOEs was to ensure thatstudents were successful on a project, even if they had failed attempts along the way. Studentsfelt supported by EOEs throughout the design challenges and perceived that EOEs worked tomake the experience as positive as possible for them.Table 5. Sample Student Statements Related to Fostering Student Agency, Understanding, andProject SuccessSub-theme Student StatementsStudent Agency They [EOE] didn't do it for me. They gave me some directions so then I could figure it out... not every
categories,namely: ten learning journal entries to include reflections on the content learned in the lectures,ten lab journal entries to include reflections on the practical activities, three quizzes with multiplechoice/true-false questions, and two assignments to be completed in groups of up to three students.Evaluation was conducted on teaching components according to student participation and theirquantitative and qualitative feedback. The result of the study shows that students were appreciativeof the HyFlex mode delivered [6]. In another study conducted by Sowell et al., implemented HyFlex in a general electivenutritional course consisting of over 500 hundred students. The nutritional course provides abreadth of knowledge inScience &
2 for the fall 2019 (teams self-selected) and fall 2020 (teamsselected via optimization) semesters. For critical design review (CDR), teams give a detaileddesign presentation covering their project’s requirements, baseline design, and engineeringmodels. The presentation is given to a review board of 10 faculty members, with 30 minutes forthe presentation and 20 minutes questions. Faculty member grades are averaged into the finalteam CDR grade, shown above. Peer evaluations are conducted anonymously immediately afterCDR, where each team member evaluates all other team members on a scale of 1 to 5 on bothtechnical and professional contributions. The critical design review is conducted in mid-November and reflects the progress the team has
possible.(Table 1). Students were then 3. If you were to describe your cohort to someone that has no experiencesasked to reflect on their midpoint with your cohort, what would you say? Please be as specific as possible.written responses and provide any 4. Describe how your cohort functions on assignments related your undergraduate research project, such as the concrete mix design and labamendments to these responses report. Be as specific as possible.during an interview with the 5. How do you think others perceive you in the cohort? Be as specific as possible.researcher at the
own words, what was done in the experimentand what the purpose of the experiment was for that lab section. This assignment was gradedsolely on completion, providing a low-stakes assessment for students to reflect on what theyhave learned. At the beginning of the following lecture, misconceptions identified in the post-labassessments were briefly addressed with the students, which was important in giving students theopportunity to identify their own misconceptions and areas for improvement [11], [12]. We alsorequired students to complete online readings using a collaborative e-reader, Perusall(www.perusall.com), which allows students to see and respond to each other’s questions andcomments directly on a shared PDF. For each reading, students
Paper ID #32774Meaning to Succeed: Learning Strategies of First-Year EngineeringTransfer StudentsMrs. Natalie C.T. Van Tyne P.E., Virginia Polytechnic Institute and State University Natalie Van Tyne is an Associate Professor of Practice at Virginia Polytechnic Institute and State Uni- versity, where she teaches first year engineering design as a foundation course for Virginia Tech’s under- graduate engineering degree programs. She holds bachelors and masters degrees from Rutgers University, Lehigh University and Colorado School of Mines, and studies best practices in pedagogy, reflective learn- ing and critical thinking as
understanding. N2-score = P-score – [3 × (average rating on preconventional issues – average rating (2) on postconventional issues) / standard deviation of pre- and postconventional issues]The N2-score equation uses the responses to the first ranking task (i.e., rate importance of all 12questions), with the most important given 4 points down to no importance given 0 points. Thefactor of 3 is used to weight the second component because the component has about one-thirdthe standard deviation of the P-scores [16]. The N2-score has a maximum score of 110 with thehigher score reflecting the participants prefer to base their reasoning on the post-conventionalschema over the pre-conventional schema [17].In accordance with Institutional Review
Infrastructure and Power Corporation. American c Society for Engineering Education, 2021 Preparing the Future Civil Engineer: Review and Update of the ABET Civil Engineering Program CriteriaPurpose and ScopeThis paper summarizes the ongoing process by which the ABET Engineering AccreditationCommission (EAC) Civil Engineering Program Criteria (CEPC) are being considered forrevision to reflect the most recent edition of the American Society of Civil Engineers (ASCE)Civil Engineering Body of Knowledge.The scope of this paper includes: • an overview of the drivers for this process; • a description of the task committee that has been charged with performing the update
mentor has the right attributes, which include: [34] a. An underlying helping, teaching-learning, reflective, and desire-to-mentor nature. b. Identity as a coach/sponsor/role model. c. Character that is respectful, tolerant, non-judgmental, and trustworthy. d. Ability to provide emotional and psychological support. e. Academic knowledge, which enables them to connect the mentee with resources on campus for academic success.Some characteristics that have been documented in the literature to lead to poor mentorship are:dissimilar personalities and habits, self-absorption, manipulative behavior, the delegation ofduty, intentional exclusion, self-promotion, incompetence, sabotage, general dysfunctionalityand deception
reflection techniques are used. A widely used application of Kolb’s work is to use learningcycles where the students interact with content in both physical and abstract ways, successivelycompleting 1) a concrete experience, 2) reflective observation, 3) abstract conceptualization, and4) active experimentation [9]. One of the most common methods is to use an actual project,where students must produce a final artifact, regardless of whether it takes the form of somethingphysical or virtual. The advantages of physical artifacts are rooted in constructionism, whichsays that physically building something will trigger new thoughts and creativity, creating newknowledge that may otherwise lay dormant and unused [10].Project Significance This project
studentswithin the classroom if multiple paths are made available to help master the content of thecourse. On the simplest level, this may take the form of asking students what content was unclearat the end of a lecture, and sharing responsibility for the learning of the material by spending afew minutes clarifying those concepts before the period ends. An examination of the function of content suggests that it is ethical to teach less contentin favor of spending a small portion of student energy on self-reflection, helping them to developas learners. When tangential conversations occur about the applications and implications ofcontent in a lecture, instructors recognize these conversations for the valuable learning momentsthat they are, while
grant. The team met to document their reflections on their experiences. Large groupdiscussions were audio taped and transcribed.ResultsThe results sections are structured around the themes addressed in the theoretical framework. Weemphasize three in this Experience Based Research, specifically continuous improvement as amessaging and process strategy for departmental change towards equitable student success,human resources practices that support equitable student success, and departmental policies thatsupport equitable student success.Continuous improvementContinuous Improvement became an integral part of the messaging of change and the process ofchange in the RED grant implementation at University of Texas at El Paso. Initialcommunications
GRAM model to continuously improve faculty pedagogyin their own discipline by integrating their own expertise into the institution’s pedagogical goals[28]. Another proposal is for teachers to simply reflect on their experience in the class andidentify areas for improvement [33]. Zahraee et al. adds more structure to this approach byasking faculty members to set their own goals and then reflect on their performance meetingthose goals over the last year [6].Three more situation-specific professional development aspects of faculty CI are also addressed:accreditation, quality management, and curriculum design [24]. Faculty’s training to effectivelyperform and complete accreditation-related tasks and activities is relevant for those programsthat
traditional design studio consists of ateacher telling students what to do and student doing what they are told, other formats have student takingthe lead with the critique being the main feedback mechanism for what to further explore (Hassanpour etal. 2010). Part of this reflection comes from classical training of architects and the experience imparted tostudents by their design instructors. Rarely are these instructors are experts on educational theories. Theexperience of the faculty may or may not align with the projects and thus, a disconnect exists (Goldschmidtet al. 2010). Hence, a need has been recognized for moving beyond a trial-and-error approach to design byadapting to more systematic iterations (Wang 2010). There have been educational
orientation of the foundation throughout the test and visual displacement ofthe soil. The foundation was exhumed and the soil beneath the foundation disturbed to get itback to the pre-test condition. The foundation was then re-set into the box and the test was runagain with a different embedment condition. Photographs of the failed foundation condition areshown in Figure 8. (a) (b)Figure 8—Shallow foundation failure condition for (a) an embedded foundation at RHIT and (b) a non-embedded foundation at SLU. Following the second test, students were asked to reflect and then discuss the followingquestions: 1. Did your load-deflection curve accurately predict
, but I really just wear jeans and a t-shirt. Yeah. Looking back, I think that maybe I should've considered that a little more. I find the engineering center to be a pretty hostile place.Upon reflection of this decision, Edith indicates a sense of regret (i.e., “...maybe I should’veconsidered that a little more.”), describing her institution’s engineering center as “a hostileplace”. Analysis of Edith’s interview yielded 47 codes distributed almost equally across themedical (32%), social (34%), and social-relational (34%) models, reflecting a time where Edithwas simultaneously experiencing diagnosis procedures and the dominant engineering culture attheir university. The following comment illustrates the interweaving of these models
mindfulness, resilience, and grit. This coursework includes: ● A first-year STARS seminar facilitated by STARS advising staff, which offers a space for students to reflect on their learning and educational experiences; brainstorm strategies for self-improvement; and develop “master schedules” to improve students’ time management and study skills. The seminar also provides an overview of non-STARS university resources for students such as counseling services and writing and tutoring centers. Students participating in the seminar also receive professional development opportunities through collaboration with the College of Engineering community and career centers. Engineering faculty and professionals discuss the