school and causehim to stress about having to work, affecting his sleep, all of which would cause his grades todrop. Other students who did not work reflected on how the stress of trying to find a job wouldnegatively impact their studies. In this respect, the S-STEM scholarship helps students maintaina healthier study-work-life balance.Students also described how the scholarship freed them up to pursue jobs and internships alignedwith their academic and career interests. For example, one student had worked at a public utilitycompany in a field outside of his interests. S-STEM allowed him to become an undergraduateresearcher in a field of interest while also allowing him more free time. Students explained thatworking fewer hours opens up more
faculty member of the School of Engineering Education at Purdue University. She is currently a Professor in Biological Systems Engineering at the University of Nebraska - Lincoln. Her role in the College of Engineering at UNL is to lead the disciplinary-based education research initiative, establishing a cadre of engineering education research faculty in the engineering departments and creating a graduate program. Her research focuses on the development, implementation, and assessment of modeling and design activities with authentic engineering contexts; the design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed
topical themes wereinitially identified by reviewing the following three textbooks - Ethics in Engineering Practiceand Research [27], Engineering Ethics: Concepts and Case [9], and Engineering Ethics [8]– andthen continued by adding each additional textbook. Thus, more topics were iteratively addedafter each textbook examination. The final list of forty-one ethical topics identified, shown inTable 1, reflects a comprehensive list of engineering ethics topics. When a keyword wasmentioned or clearly alluded to, the topic was marked on the table with an “X” to indicate it wasincluded in that textbook. It is noteworthy that there were differences in the format of thetextbooks’ table of contents, specifically with the headings. The table of contents
) Prof[25] team mental models in design Reflective Practice UG, Grad, teams Qualitative Analysis (RPA) Prof Input of an expert model of Concept maps (Graph text, to output of concept map[28] Grad Mixed Methods Centrality) summarizing the key ideas and relationships in the text2 CONCEPT MAPS Concept maps use a graph-based structure
0.99 assignments Weighted Mean 2.45 0.94 2.49 0.71 2.75 1.00 2.55 1.01Student engagement and growthThe experiment focused on problem-solving, motivation, confidence, and interest, which showedmeasurable growth. This indicates that the experiment targeted dimensions associated with activelearning as identified in previous studies. This supports the idea that practical activities canenhance STEM education [13]. The decrease by Fall 2023 reflects warnings from Braxton et al.[3] that numerous reforms often lead to only a temporary increase in engagement. They stress thatmaintaining behavioral changes necessitates consistently cultivating a supportive culture for anextended period. The latest
near-peer mentoring between graduate students and undergraduate transfer students in engineering and computingIntroduction Mentoring is a practice in which a student, or mentee, and a more experienced individual,a mentor, engage in a relationship that includes advising or instructing by the mentor to thementee. This type of relationship can be seen throughout academia and is commonly foundbetween staff members and students. The concept of near-peer mentoring reflects the ideas andgoals of traditional mentorship but is formed between individuals who are at similar experiencelevels, personally or professionally, where the mentor and mentee relate to one another due tosimilar age proximity, shared goals, common experiences, or
soldering equipment. • A full week was given to complete each laboratory assignment. • At least 20 staffed laboratory hours were provided each week (split between teaching assistants and peer mentors).For each laboratory assignment, the desired outcome is first and foremost to create something.Therefore, less emphasis was placed on the laboratory report than on the building process. Thelaboratory report contained mostly photographs and brief explanations of the various steps in theproject. Additionally, students were asked to reflect on the entire experience for each assignment,which allowed students to exercise some metacognition, and also gave the course staff an idea ofwhere the main challenges lie. Finally, for each assignment
; implementation and evaluation are also crucialcomponents. While a well-designed strategy can offer a framework for evaluation, insufficientpreparation cannot precede successful implementation.Engaging in writing accountability activities and seminars, among other forms of professionaldevelopment training, is more effectively optimized through planning. Effective planning, whichspans the duration of the project, involves the following: identifying the objectives (goal setting),iterating the roadmap (structure), assigning timeframes for task implementation and milestonerecognition (timelines), engaging in brainstorming sessions regarding project progress(reflection), and providing feedback based on individual perceptions of the project. As a result
expectations and output reflects expected information. • Data simplification: Replace some variable input data with fixed values to predict system behavior under controlled conditions. • Model simplification: Run a simplified model. Examples of simplification include: a model while its resource does not have break times or failures, or its queue capacity is unlimited and there is no balking. • Extreme scenario Testing: Test the model under extreme conditions, like significantly altered arrival times or service times, to identify potential weaknesses. • Animation review: Observe the model's animation for visual confirmation of expected behavior and entity flow. • Long-term run analysis: Run the model for an
Component Final Grade Assignment Homework 15% 1.9% Quiz 12% 3.0% Midterm 30% 15% Final Exam 20% N/A Design Project 15% N/A Engagement (iClicker participation, writing 8% N/A reflections) A majority of students in this section
accurately reflects a typical systems engineering process than acollection of isolated tasks.Lowering the stakes encourages student participation by providing a low-risk incentive tocontribute to the learning environment. The Discussion posts are graded - but students need onlycontribute to a discussion to receive the full grade. The content of the discussion post itself is notgraded. As the modeling assignments progressively build on the assignments that have gonebefore, students have the opportunity to correct previous mistakes for extra credit, thus loweringthe stakes for each individual assignment. Students also have the opportunity to complete onlinequizzes to demonstrate understanding of the concepts being taught. These are optional
,contiguity matching graphics all adjacent to their virtual graphic in 3D space; Figure 1(b). Users can opt to have guidance from an animated virtual Create or animate hand that overlays the user's right hand and slowly curlsEmbodiment objects to reflect its fingers while the user simultaneously performs the humanesque motions right-hand rule on two vectors; Figure 1(c). As shown in Figure 1(d), each module is divided into several tasks as
refers to the availability of employment opportunities, jobstability, working environment conditions, as well as comprehensive satisfaction suchas personal income and development. With the changes in the employment rate ofvocational college graduates and higher quality requirements, the focus of the graduategroup has shifted from simply finding a job to considering employment quality.Therefore, employment quality is a reflection of problems in the field of employmentquality, which includes subjective and objective aspects. From a subjective perspective,employment quality refers to individual workers' subjective satisfaction with their work,including the pleasure and social identity brought by work. It also refers to what kindof job individual
deeperunderstanding based on their reflections of their interactions with the peer mentors.SurveyGiven our research's unique focus, we determined it was necessary to develop a survey alignedexplicitly with our research questions. We included both selected and open-ended responseprompts to gather a combination of both qualitative and quantitative data. Our survey includedfree-response prompts such as, “Please share how the peer mentors made you feel themakerspace classroom is for you” “Please share how the peer mentors helped or could havehelped your team work together” and “Please share how the peer mentors helped you developconfidence when working in the makerspace classroom.” We also included companion selected-response prompts such as, “Please share your
rigorousdiscipline focusing heavily on math and science [4], [5], [6]. Due to these attitudes, students andlab instructors tend to focus more on technical knowledge rather than communication skills inlabs. Another study found that the written engineering documents seldom contained socio-cultural features of engineering and the trade-offs between productivity and safety or health of anoperator [7]. This type of neutral and objective text couldn’t reflect the complexity and human-related real-world engineering problems [7]. In this study, we want to model engineeringthinking to increase students’ awareness of rhetorically-focused writing in ME labs. Manyengineering programs have writing-intensive lab courses designed to simultaneously improveengineering
participants are overwhelmingly low-income, Growth Sector’s commitment to STEM student success and access begins with ensuring 2compensation for work-based learning opportunities. STEM Core students receiving stipends fortheir program commitments is a priority. To begin, Summer Bridge participants are awarded$1500-$1800 for 4-6 week programming, where as interns are stipended $7-10k for ten weekplacements. Students are paid a stipend for participation and to aid in alleviating financialcircumstances, which can create a barrier to student participation (Busser & Others, 1992).Furthermore, to be truly reflective of the community, participants are recruited
ideas (Figure 1). The bridge design challenge drewfrom a similar project in a first-yearengineering reflection course and asecond-year engineering foundationscourse in the authors' academic programbased on work by Chen andWodin-Schwartz [14]. The bridge designproject began with a prompt from a citymayor hoping to connect two parts oftown with a bridge. However, the bridgehad to begin and end in specific zones oneither side which were to be demolishedto make way for the bridge. Context wasalso added in the prompt, saying, "TheMayor says they trust your decision aslong as you can explain it!" to helpalleviate the youth's fears aboutpreemptively having a "correct" answer.Six zones were created, three on eachside, of which youth had to
length is a concern, faculty can omit the questionson overall responsibility, identity, persistence and demographics. We have found some value inincluding the survey as part of the normal post-laboratory assignments, as the questions aboutrelevance and consequential agency jointly provide an opportunity for students to reflect on theirexperience and provide additional insight for faculty about how students perceive the laboratoryexperiment. As such, we encourage faculty to assign minimal completion points (not extracredit), in line with an activity that takes around 10 minutes to complete. Research emphasizesthe value of reflecting on experience, as this helps cement and organize learning [38]. Inaddition, faculty may benefit from gaining
both theoretical and practical aspects.9. Self-Assessment and • Learning Journal: Throughout the course students will maintainReflection a learning journal in which they reflect on their progress, challenges, and areas for improvement. This encourages self- assessment and continuous learning.10. Problem-Solving • Model Optimization Challenge: During several labs studentsChallenges will receive suboptimal PyTorch model code and will work in groups to optimize it, assessing their problem-solving skills. 11. Real-World • Engineering Application Report: Students are tasked with Application Report identifying a
perspective of a mentee who latertransitioned into a mentor at the admin/management level, this does not reflect a full view of astudent perspective. Instead, it highlights a unique trajectory stemming from a successfulmentorship program. Future studies could achieve a more nuanced understanding of thedynamics within mentorship programs by interviewing both mentees and mentors. Thisapproach would explore how the experiences of students/mentees influence these programs andcontribute to the reciprocal relationship often highlighted in interviews as a key aspect of thementee/mentor relationship.Only one student was interviewed, while the remaining three sites involvedadmin/management-level staff. This does not reflect a full view of the “student
as acomplementary or alternative approach connecting problem-based learning (PBL) to the realworld but also enhance student satisfaction, as shown in the study by Vrellis, Avouris, andMikropoulos [21]. Their study revealed that students expressed higher satisfaction whileperforming activities on the reflection of light in Multi-User Virtual Environments (MUVE)compared to real-world scenarios.Furthermore, Cobb et al.'s study [22] supports the idea of using virtual laboratories beforereal-world experiments to enhance student preparation and organization, thereby reducing thedemand for demonstrator time. The study also revealed that virtual labs effectively facilitatedlearning gains and were well-received by students, underscoring the potential
acrylic specimens subjected totension and torsion loading. Isotropic bodies subject to a two-dimensional stress, while withintheir elastic limit, will reflect light like a doubly refracting crystal [25]. The authors used twopolarizing filters; one between the camera and the specimen and one at a ninety-degreeorientation to the other between the specimen and a light source, as shown in Figure 7 for bothtension and torsion tests. Due to the directional light requirements and the resulting low light, astandard video camera at 60 frames per second was utilized for video capture. Additionally, theauthors did not utilize the high-speed camera for capture because it only records black and whitevideo. This negates the capture of visually stunning and
research [44].3. METHODOLOGYThe methodology employed in this study consisted of a review process of the coursesyllabi, encompassing a detailed examination of individual modules and coursesegments. The primary aim was to identify the presence of design thinking embeddedwithin the curriculum. The initial phase of the review process involved a preliminaryexamination of the course content, facilitating the early identification of elementsrelevant to design thinking. In the coding phase, the accumulated data were classifiedaccording to predetermined criteria that reflected the implementation aspects ofdesign thinking within the educational offerings.The methodology adhered to a three-pronged search principle, focusing on:Design Thinking as Process
’ responsibilities to society.5 These topics are required in some form in accreditedprograms given current ABET Engineering Accreditation Commission (EAC) and ComputingAccreditation Commission (CAC) requirements.6-7 However, a broad understanding of how andwhere engineering and computing students are taught to consider these issues, and whether ornot this education is adequate appears lacking. For example, recent modifications to the ABETEAC criteria specific for civil engineering programs seemed to reflect consensus that ethicseducation may have been insufficient.8 In order to provide greater clarity to understanding thescope of both micro- and macro- ethics education, a national study was conducted. © American Society for
context of online learning and engagement, educational technologies, curriculum design which includes innovative and equitable pedagogical approaches, and support programs that boost the academic success of different groups of students. She teaches in active learning environments and strives to bring EE and CER into practice. ©American Society for Engineering Education, 2024 Equitable Computing Education Abstract The field of computing continues to struggle to increase participation that better reflects the domestic composition of the US society at large. Society could benefit from diversifying its workforce as
learning directly into academic programs. Jacoby and Associates defineservice learning as “a form of experiential education in which students engage in activities thataddress human and community needs together with structured opportunities intentionallydesigned to promote student learning and development. Reflections and reciprocity are keyconcepts of service-learning.” [13] "Proceedings of the 2005 Midwest Section Conference of the American Society for Engineering Education" 4 Service learning has been strongly espoused as a pedagogical technique for meeting theABET
method companies can use to embrace or reject acorporate culture. This can also apply to educational settings and the classroom. Teachers canshare informal stories that accurately reflect, encourage, and reinforce the values, environment,and behaviors they wish to foster, or the reverse can also happen and they can share stories ofdiversity failure to generate learning.To change culture, stories should focus on the desired culture. Stories can be collected andpublished, or told orally. Eventually individuals will begin to realize that this really is a priorityfor the organization.13The K-State at Salina Tilford Diversity Storytelling ProjectIn 2006, a team of six faculty at K-State at Salina applied and received a Tilford Diversity grantto
| University 4.094 0.870 42537------------------------------------------------------------------------------------------------------------------------In addition to the six (6) standard questions, instructors are permitted to ask additional ratingquestions on the SROI. For CM&E 111 an additional ten (10) rating questions were generated.These questions were provided to the students a week before the administering the SROI so thatthe students had an opportunity to reflect on their learning. These ten (10) supplementalquestions directly relate to the course objectives, as shown below. 7. How well can you define Construction Management and Construction Engineering and describe the differences? 8. How well can you describe the value
begun to address how computing education needs to change to reflect the newprofessional landscape graduates are entering where employees are expected to seamlesslyintegrate GenAI tools into their workflows for improved efficiency. Some faculty are providingGenAI tools to be used during the course, such as Harvard’s CS50 Duck Debugger, allowingstudents to practice leveraging such tools. Others are diving into the deeper pedagogicalimplications, such as Agarwal and colleagues [12], who highlight that teachers might need toshift focus from students' ability to write code from scratch to students' ability to critique code,potentially through the use of refute-style assessments.Turning to the students themselves, researchers conducted surveys to get
burgeoning expertise in the field. Now, as a graduate student majoring in Advanced Computing, Ejiga is not only expanding his academic horizons but also actively contributing to the evolving landscape of engineering education. His role in the pedagogy project reflects a keen interest in developing educational strategies that are more interactive and hands-on, a testament to his dedication to enhancing learning experiences in engineering. Ejiga’s background in computer science, combined with his current focus on advanced computing, positions him uniquely to contribute significantly to both his department and the broader academic community.Oluwapemiisin Gbemisola Akingbola, Morgan State University Masters student Of