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
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
entity recognition [33]. While early automated feedback systemsrelied on domain-expert rules and were limited in addressing the diversity of open-endedassignments [34-36], data-driven approaches, though promising in highly semantically diverseresponses, often face challenges due to the lack of extensive training datasets [4, 37, 38].AFS based on LLMs holds the potential for a more effective and efficient solution. Applicationsrange from personalized hints for programming assignments [39] to reflective writing [40],including feedback on the appropriateness of the topic of a data science project proposal and thedescription clarity of goals, benefits, novelty and overall clarity of the report [41]. Despite thepromising results from studies like Dai
• Is your assignment prompt visually organized and accessible? • How can you scaffold this assignment with smaller “stepping stones” assignments? • Can you analyze examples in class to distinguish between excellent and adequate work? Additional • How will you encourage creativity so that examples are not seen as templates? Considerations • Will students have the opportunity to engage in peer review before final submission? • How will students reflect and comment on their completed, graded work after evaluation to identify what they did well and changes to
-oriented skills into the curricula with our regular annual career-oriented departmental co-curricular events. And since these are under our direct control, the synchronization is not likelyto be broken without the knowledge of the departmental faculty.Thus, we believe we have set ourselves up to maintain this strategic reimagining of our EE andCMPE programs. This is because (1) professional formation is not relegated to a single coursethat could be discontinued under budgetary pressures or mostly avoided by some students, and(2) because it is not a loose suggestion that a few junior faculty handle some added material, buta careful plan that comes with ready-to-teach modules on relevant technical topics—owned byall, reflected in each set of our
questionsFinally, the results of the open-ended questions in the survey will be presented. The firstquestion invited students to leave additional comments about the importance of the coursein an engineering program. Student response to the engineering course reflects a mixture ofappreciation and criticism. On the one hand, some students value the course for developingand expanding their ability to evaluate everyday situations methodically, which contributesto a better adaptation in the workplace, regardless of the direct use of the syllabus learned.However, others express frustration at being unable to understand key concepts, such asvoltage, resistance, impedance, and coil operation, pointing to a disconnect between theresolution of exercises and the
, bridge programs, transfersupport, undergraduate research, industry and faculty mentors, and conference and writingworkshops. These each contribute to the S-STEM community college success as they navigatetheir career in the community college and their goals beyond. The breadth and depth of differentsupport reflects the unique needs of the campus where the S-STEM grant originated. Eachcampus or consortium of campuses creates their own program and therefore emphasizes differentapproaches to curricular and co-curricular supports.Lack of theory focussed program in implementation of S-STEM Program 2 Through the systematic literature review, we
success.In the proposed approach, students engage in projects that not only address real-world problemsor challenges but also contribute to serving the needs of a community or organization - when adeliverable is created and shared with the community. These projects typically involveidentifying community needs (Step 2), designing and implementing solutions (Step 1), collectingand processing data (Steps 3 and 4), and reflecting on the impact of their work on both learningoutcomes and community well-being (Step 5).The set of sensors used in the proposed approach can be seen in Figure 2, where the cameras areshown in detail (Figure 2.a), and also the system assembled on top of a vehicle is presented(Figure 2.b). It used five GoPro cameras (three
paper entitled Engineering Leadership: Bridging the Culture Gap in EngineeringEducation [1] we argued that a major barrier to change in engineering education, including theincorporation of engineering leadership into the curriculum, is the culture that exists in ourinstitutions. We proposed that the elements and dynamics of this culture can be examined in theform of co-contraries (or opposites that need each other) and that the relative emphasis in theseco-contraries reflects the engineering educational culture in a department, an institution or inengineering education as a whole. Example cultural co-contraries identified include: the powerdistance dynamic between the student and the professor; the nature of the distribution of effortbetween
-based project work has also been found to be ahave a significant positive influence on retention [5]. An integrative team-based learning projectutilized in another entry level undergraduate computer science course was observed to helpstudents forge connections between the topics covered in the separate modules of the course anddemonstrate how that content could be integrated and synthesized to solve a problem [6].Improvements were noted in both student attendance and engagement. Including reflectionfocused team meetings as part of a team-based project was observed to improve the developmentof reflective skills important for addressing difficult engineering problems [15].Project-based LearningProject-based learning is a popular and engaging
within the college or university, all can impact the capstone experience [1, 9-11]. Given theirimportance, along with ABET accreditation requirements, capstones require continued reflection andevolution to keep the academic experience relevant and impactful [8,12]. One way to keep capstones relevant is to review/assess what other similar programs areincorporating into their programs in regard to means, methods, and trends [12-13]. A review of publishedcapstone papers has shown limited documented successes and struggles by AE educators as compared toother engineering majors [13-15]. The majority of papers focus on the delivery, assessment, andengagement aspects [14,16]. This paper seeks to expand the earlier studies [14-15] to focus on