interviews were semi-structured and lasted approximately 45 minutes. All interviews wereconducted via Zoom or in person and were transcribed by a professional transcription service.The interviews were aimed at uncovering differences that faculty had noticed in their coursessince the COVID-19 pandemic began. Interview questions (Table 1) were developed by theresearch team and were piloted for clarity. Participants were sent the interview questions prior tothe interview to allow them to gather class data and reflect on the differences beforehand.Table 1. Semi-Structured Interview Questions High-Level Interview Protocol 1. What differences have you noticed in teaching before, during, and after COVID? 2. Before COVID, did you notice any gaps in
scholars of color. Thequestions were carefully worded, asked in a specific order, and included probing questions toseek clarification and meaning. After the completion of each interview, the web conferencingplatform rendered a transcription. All recordings were permanently deleted once transcriptionswere reviewed and cleaned for errors and identifying information.Reflexivity and Positionality. Throughout the study, the research team practiced individual andcollective reflexivity (Patton, 2015) by reflecting on, setting aside, and discussing experiences,values, and beliefs related to the way in which university postdoctoral affairs offices can bettersupport engineering postdoctoral scholars of color both personally and professionally.Reflexivity is
environments, though experiences varied among students.Question 7: Many students agreed on the importance of engaging critically with AI content,stressing the need for discernment in using AI tools.The survey results reflect students’ opinions of the role of AI in EE education. While there is anacknowledgment of the benefits AI can bring in understanding complex concepts and creating adynamic learning environment, there is also a clear emphasis on the need for critical engagementwith AI-generated content. The data suggests that students are aware of the potential pitfalls ofover-reliance on AI and the importance of validating AI products. This highlights the necessityfor educators to balance the integration of AI tools with traditional teaching
simply going over the material. • It gives more societal worth as well as individual worth. If you reflect on event on a horrible tragedy of engineering done poorly, it gives you more worth and responsivity. • incorporating the history and background of a engineering principal can create a good foothold/base for any student to start expanding their knowledge of a said principle • I believe that being able to see the work of these individuals in front of me rather than in a textbook, as in through videos or interactive walkthroughs of their accomplishments in the field makes it much easier to visualize, therefore allowing me to be more interested as I see their work come to life rather than just be
other institutions and organizations to provide professional skills training to their ownaudiences. Nearly 11,000 participant trainings were completed in the first six years of the project, withhelp from 120 volunteers trained as program facilitators, and several organizations have stepped in toprovide ongoing support to continue the training program after the NSF funding ended.This paper reflects on the lessons learned over the first six years of this project, documenting both thechallenges that had to be overcome and the collaborations that led to the success of this workforcetraining effort. Specific suggestions are offered for building collaborations with individuals, publicinstitutions, and private organizations to create sustainable
improvement about various infrastructure inequity scenarios, and (ii)students’ interest in working for systemic change to address inequity in resilient infrastructuredevelopments. The demographic questions recorded the participants’ social and educationalbackgrounds. The post-survey included the same Likert scale questions as the pre-survey tocompare the responses and assess knowledge improvements through the module. Additionally,the post-survey included Likert scale questions to reflect students’ feedback on the efficacy ofthe training in improving their understanding of SERI concepts.The pre-and post-survey data were analyzed using both quantitative and qualitative methods. Thestudy utilized the Wilcoxon signed rank test to compare students
thepumped water initially did not place the cup horizontally, but one of the team memberssuggested placing the cup on the table to check the measurement accurately. As the team tookmeasurements, they engaged in reflective discussions about the pumping phenomenon as seen intheir data sheet (Fig. 3). Fig. 3. Notes Extract from Team 1’s Data Collection.Team 1 also developed their interpretation of the efficiency concept based on their measurementprocess, pump manipulation, and interpretation of using the pump to supply water to las coloniascommunity. [Professor]: how would you define efficiency? [Team 1]: We can see that during the in between like three minutes and five minutes, there’s a big spike in like the
departmental community. In this framework, CoP ischaracterized by constant knowledge generation, application, and reproduction, highlighting thedynamic nature of engagement.Within this framework, the diverse adoption of mentoring tools reflects the autonomy of individualfaculty members as distinct nodes in the advising network. There are no formal requirementsconcerning doctoral student mentoring to support graduate advising and faculty members are freeto adopt tools (or not) that they perceive to be most appropriate or work best. However, the CIMERprogram allows faculty members in the department to receive training to train others, it is throughthis initiative that other faculty in the more peripheral mode of participation get to learn fromtrained
Search TermsFor the search, we carefully selected a set of specific keywords and search terms to ensure athorough search, capturing a wide range of relevant papers. Core themes searched were digitalaccessibility and computer science education. Digital accessibility is central to this study,focusing on accessibility in digital and online environments. Computer science or computingeducation refers to the educational context and curricular aspects of computer science. Fromthose core themes we also included the associated terms online learning and inclusive education.Online learning reflects the shift towards digital education, especially relevant due to impact ofCOVID-19. Inclusive education encompasses broader educational principles that
proactively recruited new instructors tomatch those demographics. Our instructors and visiting executives now reflect those changingdynamics too, at 66.7% and 62.5%, respectively, representing commercial and industrialexperience. Exhibit 9. Responding to Changing DemographicsWe also saw a shift in geographic location. In Fall 2015, the majority of our MEM studentscame from the local Baltimore/Washington region (62.5%). Not surprising since this course, andmany of our other MEM courses, were offered on campus and in person. Johns HopkinsEngineering for Professionals was already proactively moving to more online offerings that alignwith working professional education preferences. And further encouraged by even broaderacceptance of
passenger well-being and minimize the risk of accidents. This collective effort reflects a commitment to caring for the safety and security of airline passengers and crew members. These cases illustrate the importance of incorporating care ethics principles into engineering practice to ensure that decisions prioritize the well-being and dignity of all individuals affected by technological developments. ➢ Contextualism: The idea that ethical decisions should consider the specific context and circumstances of each situation.Environmental Impact Assessment: In a project involving the construction of a hydroelectricdam, engineers must consider the potential environmental impact on the surrounding ecosystem,including
toy,exploring a variety of design options that reflect how their creations will look and function. Theexpansive design scope of this project not only cultivates students' creativity but also presentsthem with challenges to overcome as they navigate through the open-ended design process. Byintroducing elements such as varying design constraints or randomized features specific to eachproject, students are encouraged to think outside the box, ensuring a diversity of ideas. Thisapproach not only fosters innovation but also enriches learning as students draw inspiration fromthe wide array of solutions and perspectives presented by their peers' projects and existing softrobotic fish designs [3].Educational ContextThe presented robotic fish project
theinstructors and TAs to identify students who may be struggling and provide support early in thesemester. In addition, it is expected that these activities would ease learning anxieties for studentsat the early phase of learning programming and enhance their confidence by being engaged andable to perform the initial basic tasks on their own.The Vertical Non-Permanent Surfaces activities were introduced after the students werecomfortable with the basic programming concepts. The problem sets used for the VNPS activitiesare more complex and reflect real-world situations. Students are tasked with working on theseproblems in groups of three. Students first develop their solution approach individually. They thenmeet in their group to discuss their
. Theultimate goal is for this initiative to serve as a model and inspiration for universities andcommunities alike, highlighting the transformative power of collaboration between highereducation institutions, industry, and community partners to drive meaningful improvements inour communities, fostering growth, innovation, and social well-being.1. IntroductionOverview of Community Engagement in Engineering EducationIn recent years, the field of community engagement in engineering education has been growing,reflecting a shift towards a more holistic approach that extends beyond theoretical knowledge.Building sustainable and resilient communities is a core purpose of civil engineering andeffectively engaging with communities is vital. Such engagement is
isintended to clear up any remaining confusion by providing students with chances tocommunicate with both the professor and fellow learners. Often these discussions will centeraround student explanations and solutions as a way of preparing them for independent work. Onhomework, students may consult their notes, textbook, and other resources such as a tutor or theinstructor. These assignments include multiple attempts and flexible deadlines and areconsidered complete once students earn an 80% or better. After the class preps and homework,there are in-class understanding checks (often in the form of quizzes or tests) as well as writingassignments. The writing assignments are done outside of class and include reflections as well asopportunities for
Dr. Najmus Saqib is an Assistant Professor of Mechanical Engineering at Marian University. He has been teaching in his field since 2017. Saqib is passionate about student learning. He received his PhD in Mechanical Engineering from Colorado School of Mines, focusing on ”Optical Diagnostics of Lithium-Sulfur and Lithium-Ion Battery Electrolytes using Attenuated Total Reflection Infrared Spectroscopy”. At Mines Saqib was a member of the MODES Lab, led by Dr. Jason M. Porter. His work on Li-S batteries was the first of its kind to use quantitative infrared spectroscopy for operando polysulfide measurements. He has also applied operando spectroscopy to improve the understanding of electrolyte decomposition mechanisms
be clear and consistently interpreted by SMEs.It was observed that academic self-description, engineering intrinsic value, and belonging gotvery strong votes with almost a clear choice of survey statements for belonging and engineeringintrinsic value. The 3 sub-constructs in focus here have clear boundaries in their theoreticalunderstanding and that is reflected in the resultant votes of the sorting task. But looking at thesplit of votes between perceived competence and self-efficacy in round #1 of sorting, there wasan almost equal split of votes between them, to the extent of one statement “I can persist in anengineering major during the next year” receiving 5 votes each for perceived competence andself-efficacy. This was expected as was
thinking [6].This work in progress focuses on instructor and student perceptions of how the engineeringdesign process is enacted during such projects. We aim to understand how instructors balanceanalytical skills, creativity, and detailed design in course activities. This work also investigateshow students apply prior knowledge of the design process and how their understanding of thedesign process is further shaped by their experiences in the mechanical design course. We alsoaim to elucidate where faculty and students hold differing perceptions of what course activitiesare considered design work and where design concepts might be obfuscated by an activity orclass structure. Understanding these perceptions can help faculty reflect on their course
aerospace engineering from the University of Michigan - Ann Arbor and a B.S.E. in civil engineering from Case Western Reserve University, both in the areas of structural engineering and solid mechanics.Dr. Aaron W. Johnson, University of Michigan Aaron W. Johnson (he/him) is an Assistant Professor in the Aerospace Engineering Department and a Core Faculty member of the Engineering Education Research Program at the University of Michigan. His lab’s design-based research focuses on how to re-contextualize engineering science engineering courses to better reflect and prepare students for the reality of ill-defined, sociotechnical engineering practice. Their current projects include studying and designing classroom
translate that interest into involvement. To evaluate the effectiveness of the get involved oncampus workshop, students were tasked with reflecting on their involvement with the studentorganization network as well as their involvement outside of the student organization network.Table 4 shows the number of students that joined student organizations inside and outside of thestudent organization network. The data highlights the drastic increase in understanding thatgetting involved on campus is beneficial.Table 4. Summary of Student Participation in Student Organization Network Organizations Number of students before Number of students after the course the course Yes
classmates in group activities," and item 17: "Have a more proactiveattitude about my learning." These items reflect a decrease in the frequency of various forms ofinteraction, including interactions with teachers and classmates during synchronous sessions andgroup activities. Additionally, there appears to be a decrease in the frequency of discussions withclassmates about course-related work and a decline in proactive attitudes toward learning.While there are positive changes in certain aspects of collaborative engagement and presentationskills, there are negative changes in interactions with teachers and classmates and proactivelearning attitudes. It would be important to explore the reasons behind these changes and considerstrategies to encourage
Statistics (number of students) 2021-22 2022-23 2023-24 Session 1 Attendance 115 20 13 Final Session Attendance 12 10 16 Final Exam Attempts 8 4 5 Passed Final Exam 3 2 4The first session attendance is particularly interesting, as it shows how the program evolvedthroughout the three years. In the first year, nearly 30% of the entire engineering student bodywas present. This reflects the demand from the students for more CAD learning opportunities.Students in first- through fourth-year enrolled in the co-curricular program, and
multiple levels, including internal and external contentreview as well as evaluation of student learning. Internal faculty evaluators are reviewing contentfor evidence that the materials reflected different cognitive learning levels, provided connectionto real world contexts and situations, and connected back to the learning objectives. Externalcontent review was provided from faculty at two secondary partnering institutions as a means ofcontent validation. Constructive feedback from these reviews was applied to refine and improvemodule content. Following completion of module implementation in courses, faculty evaluatedstudent learning based on results achieved on assignments, exercises, projects, and exams.Once the learning modules have been
helpfoster an entrepreneurial mindset. The goal is, that following the activity, students will make V&Van integral part of their simulation modeling and analysis process that will be reflected in courseprojects and beyond the course itself.The expected technical and entrepreneurial mindset related learning outcomes for the escape roomactivity include the following: • Demonstrate understanding and effective use of model verification and validation techniques (Curiosity, Connections, Creating Value); • Explore the accuracy and validity of a model from a contrarian point of view (stakeholder/decision-maker) vs. a modeler (Curiosity); • Assess and manage the risk associated with the validity of the model. That is, what is the
(including the use of library, electronic/computer and other resources, and quantitative reasoning and interpretation, as applicable) o engagement in collaborative learning activities o application of intercultural and international competence o dialogue pertaining to social behavior, community, and scholarly conduct o integrates three or more of the above activities into General Education courses offered in the knowledge domains (https://bulletins.psu.edu/undergraduate/general-education/) o thinking, talking, or writing about their learning o reflecting, relating, organizing, applying, synthesizing, or
Assets + Non-currentAssets highlighted growth in digital infrastructure and investments in technology. Concurrently,our approach to managing liabilities evolved, resulting in a strategic reduction in TotalLiabilities = Current Liabilities + Non-current Liabilities. This reduction reflected improveddebt management and a shift towards more sustainable financing methods. Equity, calculated asTotal Equity = Assets - Liabilities, saw a substantial increase, indicating a stronger ownershipposition and enhanced financial stability within the company. These developments underscorethe role of digital transformation in strengthening our financial foundation. © American Society for Engineering Education, 2024
. Figure 3. Key Elements of CEM Senior Capstone DevelopmentThrough this course development process, several key characteristics that define the success ofCEM capstone course have been identified, including: • Integration of Multidisciplinary Concepts: The course is structured to address a wide range of concepts and practices, including project planning, scheduling, budgeting, risk management, sustainability, and stakeholder coordination. This interdisciplinary approach reflects the multifaceted nature of construction projects in the real world. • Focus on Practical Application: Students are tasked with applying their acquired knowledge and skills to address complex challenges within the construction industry
-world engineering challenges in robotics. • Weekly Quizzes (20%) – Weekly quizzes assess the students’ grasp of the theoretical content covered during lectures. These quizzes ensure that students are internalizing AI/ML concepts, such as supervised learning, neural networks, and reinforcement learning, before applying them in lab projects. The quizzes will test students on key AI/ML concepts and their ability to apply them to engineering problems in robotics. • Final Report (20%) – The final report requires students to reflect on their overall learning experience in the module, focusing on the AI/ML concepts learned and how they were applied in lab projects. Instead of repeating lab details
physical problems that piqued their interest, students werechallenged to creatively simplify these challenges to accommodate the finite element techniquethey had acquired. The limitations imposed by the academic version of ANSYS Workbench furthernecessitated innovative problem-solving and critical evaluation. Aligned with Bloom's taxonomy,the course curriculum was designed to foster a comprehensive learning experience. As illustratedin Figure 1, various assignments, ranging from lectures and videos to quizzes and in-class activities,were strategically mapped to different levels of Bloom's taxonomy, from passive learning to higher-order thinking skills like reflection, synthesis, and creativity Figure 1 The relationship between
) idea is used in mathematics education as a part of theundergraduate curriculum in [19] for the first time during a study on students’ conceptual view ofthe function concept. APO is extended to Action, Process, Object and Schema theory (called APOStheory) in [21] to understand students' function knowledge. APOS theory is explained as thecombined knowledge of a student in a specific subject based on Piaget`s philosophy. APOS theorywas designed in [22] as follows: An action is a transformation of objects perceived by the individual as essentially external and as requiring, either explicitly or from memory, step-by-step instructions on how to perform the operation... When an action is repeated and the individual reflects