course to provide insights into their progress and the effectiveness of various teach-ing strategies. Metrics used include improvements in test scores, the quality of project submissions, andstudents’ problem-solving abilities to gauge educational outcomes[6].Qualitative Feedback: Through surveys and reflective exercises, we gather students’ perspectives on theeducational experience, particularly their opinions on the effectiveness of interactive tools and the scope ofthe case studies used. This feedback identifies the most beneficial course elements, which tools enhancedunderstanding, and areas needing improvement.Student Satisfaction Survey Metrics: We utilize specific m etrics t o a ssess i nstructions’ c larity, coursematerials’ relevance
according to somearticles in the literature, there have been changes in the definition of engineering over the yearsto reflect a simple fact that defining engineering is not as simple as it may look and sound [7].Recently, there are numerous calls to further modify the definition of engineering to be in linewith its continuing and systematic advancements as well as ever-changing societal norms andvalues. For instance, John Anderson in the Bridge: a National Academy of Engineers platformsuggested creating definitions with more “operational” key terms [8]. There are calls to includeother aspects in the definition of engineering like culture and ethnicity amongst other factors asstated in the 2020 virtual ASEE annual Conference [9].Steib records that
SUNY Discovers (research, entrepreneurship, field study, experiences abroad, and creative work) [6]• SUNY Applied Learning Plan [6]• Campus Applied Learning Plans: Applied Learning Plans parts II to VII for each system campus [6]• Applied Learning Guidance to Campuses (includes an action timeline) [6]• SUNY Board of Trustees Resolution on Experiential and Applied Learning [6]• Criteria for Campus-Approved Applied Learning Activities: The activity is structured, intentional, and authentic; requires preparation, orientation, and training; must include monitored and continuous improvement; requires structured reflection and acknowledgment; must be assessed and evaluated [6]• Service-Learning in SUNY: Current Status and
style teaching, the interventionwould occur after the assignment has been submitted and therefore would reflect poorly upon thestudent, where with the new tool, the student can recognize their gap in knowledge and seek theaid of the instructor to be able to correct that gap in knowledge and then go attempt quizzes orassignments once more to verify that the issues have been corrected; in this case, the grades wouldreflect greatly upon the student.ResultsThe effectiveness of the newly developed teaching strategy was evaluated in a Statics classcomprising 21 students through a survey consisting of 29 questions that focused on the themes ofskill development. Sixteen out of 21 students completed the survey. The responses to the surveyquestions were
the paper’s structure and apply these resourceseffectively to their work.3.3 Instructor Reflection and RecommendationsAfter submitting their first drafts, students are asked to provide an honest self-assessment score(1-100) on their drafts. The average score is 69.7, with the highest score being 80 and the lowest60, indicating that students are still on the learning curve. After submitting their final drafts,students reassess their work, and the average score increase to 72.4, with the highest score being85 and the lowest 65. Although the improvement in self-assessment is not highly significant, itdoes show increases across the board, including both the average and the high and low ends. Theinstructor also evaluates the final quality of the
change induced disasters rather than on expenditure forsustainable development.Several relevant technologies, such as solar, wind, wave, geothermal, and biomass, createsustainable cities. For instance, cities can achieve zero-waste goals using biomass as part of anintegrated waste management plan. Sustainable cities must use an integrated resource energyplan to meet their inhabitants' energy demands and provide redundancy in case of impacts toother sources.Sustainable city design should incorporate local design practices and societal customs, such asthe traditional Arabic concrete screens in Masdar City that provide shade and mask an innerlight-reflecting layer of aluminum to keep buildings cool [2]. Sustainable city designs will alsoneed to use
and asked to act as a consultant and interview their partner with thefollowing prompt, “How would you redesign the curricular collaboration experience for yourpartner?” Each person then interviewed their partner to gain insight to their needs. A second roundof interviews was conducted to dig deeper into the ideas developed in the first round. After theinterview, the individuals used their notes to define an actionable problem statement based on theneeds and insights collected in the interviews. The attendees then ideated by sketching five radicalways to solve their partner’s needs. The ideas were then shared with their partner to get feedback.The individuals then reflected and generated a sketch of a big idea solution to the need
initially identified through the cause-and-effect diagram, others usedit to explore additional issues. This dual approach allowed for deeper reflection, enablingstudents to identify root causes behind their struggles and think critically about potentialsolutions.When using the 5Whys methodology in response to the prompt, “Use the 5Whys method toidentify the root cause of a daily life problem by completing the chart,” students initiallyidentified academic challenges and time and life management as primary effect categories.However, when using the 5Whys method, the proportion of issues related to time and lifemanagement rose to 29%, making it equally significant as academic challenges, as illustrated inFigure 3 and Table 2. Notably, the health and
approaches work.) ● We need to teach when and why to use a formula, not what the formula is (which will forevermore be something they can look up.) ● We need to teach solution evaluation. (How will they know if the computer is correct?) ● We need to ask students to reflect on their priorities. ● We need to teach study skills, goal setting, and delayed gratification. Explicitly.Engineers have two basic jobs: build something so it doesn’t break and figure out why it broke. Wemust understand the thought processes which good engineers take to do those two jobs. Engineeringeducation is at an exciting (or terrifying) inflection point. We can look at advances like AI asamazing new techniques which free us to do more exciting stuff in the
emotions and use emotions to enhance thinking including the ability to perceive emotions,to assess and generate emotions to assist thought, to understand emotions and emotionalknowledge, and to reflectively regulate emotion as to promote emotional and intellectual growth[2], [10], [11]. EI is the ability to understand, manage, and use one’s emotions and the emotionsof others to accomplish goals, navigate complexity, or make informed decisions [3][10].EI as a FoundationThere are four skills, known as the four branches, which are the abilities to perceive emotions,use emotions to facilitate thought, understand emotions, and manage emotions [9]. Perceivingemotions is the foundation of the branches because if emotions cannot be recognized, then
challenges. Journal responses and hands-on learning centers,advocated by Finlayson [5], promote active learning and personal reflection, enhancingstudents' engagement and understanding. Additionally, virtual and anonymousplatforms for quantitative literacy, emphasized by Latiolais [3], provide alternativeavenues for student participation, particularly benefiting those uncomfortable intraditional classroom settings. These strategies collectively contribute to fostering asupportive and inclusive learning environment that encourages both academic growthand personal development.This study focuses on implementing two easily applied assessment-based strategies in anumerical methods course. The rationale for both these strategies is supported
get a better idea of what social marketing work would be like in practice.”Other aspects of the class that were mentioned were guest speakers and case studies that werediscussed through the semester as they provided practical examples of how social marketing isbeing used. The main drawbacks or things students would change focused on the project being agroup assignment and having a hard time meeting with their group indicating to change some ofthe group assignments to individual assignments or provide more group work time in class.Conclusion & RecommendationsResponses to the pre-post survey indicate that the eight learning objectives for the course weremet. However, based on this instructor reflection and student feedback multiple updates
communication and teamworkskills, which are critical for success in industry settings.By reflecting on two years of course implementation, this paper provides practical insights intohow strategic partnerships with industry experts can enhance student learning and ensure therelevance of course content. The findings demonstrate that meaningful courses that extendbeyond the expertise of a single instructor can be created through collaboration with industryprofessionals. This paper aims to serve as a guide for educators interested in developing similarcollaborative courses, offering a model for bridging the gap between academic theory andindustry practice. Through dedication and strategic partnerships, even educators without priormedical device expertise
, only 28% of first-year students persistedthrough to their fourth year, a rate reflective of typical trends in mechanical engineeringprograms. However, the first cohort completing the advising pilot program exhibited a retentionrate of 76%—a substantial improvement that highlights the importance of early intervention andconsistent faculty-student engagement throughout the academic journey. This data was onlycollected for the control group and the first cohort of the new advising model as there have onlybeen four years of data collection. It will be very informative to measure the 4-year, 5,-yuear,and 6-year graduation rates of the cohort and that data will be available in the coming years but itappears to be strongly correlated with retention
. • Work Ethic: This category will be similar to Professionalism in that the students’ attitude may present differently to the instructor than the other team members. However, there should be a strong correlation between work ethic and work accomplished, so the instructor should get a good feel for the student performance in this category, posing notwithstanding. • Overall Contribution: This is an important category for the students, because it can reflect skills like leadership and creativity that are important for team function but difficult to pin down in a list of accomplishments. Like Communication, the instructor perception of this category will be more anecdotal. • Work Distribution: This
-levelthemes that capture the essence of the interview corpus, but it performed poorly in mapping theconcepts to specific files. Therefore, a hybrid approach that leverages the strengths of both AIand human expertise may be the most effective strategy for analyzing complex qualitative data ineducational research.AcknowledgmentThis material is based upon work supported by the U.S. National Science Foundation (NSF)under Grant No. (DUE 2120936). Any opinions and findings expressed in this material are of theauthors and do not necessarily reflect the views of the NSF.References:[1] S. Kulturel-Konak, "Overview of Student Innovation Competitions and Their Roles in STEM Education," in 2021 Fall ASEE Middle Atlantic Section Meeting, 2021. [Online
theuncertainties surrounding climate change. These projects will provide a direct assessment of theknowledge, skills, and abilities of the students that will provide a more robust insight into theefficacy of the proposed methodology for integrating climate change in engineering education.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.(NSF grant number 2219532). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] M. J. Martin et al., “The climate is changing. Engineering education needs to change as well,” J. Eng. Educ., vol. 111, no. 4, 2022
slope, reflecting lowest variation. This isconsistent with the smaller error bars seen in Figure 9, suggesting that the 0° print orientationproduces more predictable and consistent failure results. In contrast, the shallow slopes observedfor the 45° and 90° print orientations indicate greater variability in the failure loads for theseorientations, making them less predictable under applied tensile load.Based on this log-normal statistical analysis, it is crucial to note the important implication inlarge-scale manufacturing using 3D-printing. Although the sample size in a laboratory settingcan be very limited, typically about 20 in our case, the strength at very low percentile (such as inthe parts-per-million, or ppm, level) can be projected
offering unique strengthsfor different project requirements.The use of project management software in the construction industry has evolved significantly over thepast two decades, reflecting the increasing demands for efficiency, cost control, and risk mitigation inlarge-scale projects.Project management software facilitates critical tasks, such as critical path analysis and resourceallocation, which are essential in large construction projects with many interdependent tasks andstakeholders [1]. Primavera P6 is the most widely adopted tool, with both platforms demonstratingunique capabilities suited to various project scopes and complexities.Primavera P6 is widely recognized for its advanced scheduling capabilities, making it ideal for large
perspectives, received a lower grade from ChatGPT due toits unfamiliar format despite receiving high praise from human graders for originality anddepth. These findings highlight the need for human oversight in cases requiring nuancedinterpretation.5.5. Perceptions of Educators and StudentsSurvey results from 50 students and 10 educators reveal a generally positive perception of AI-assisted grading. • Students: 78% of students found AI feedback helpful in improving their assignments, particularly for objective and theoretical tasks. However, 60% expressed concerns about fairness in grading subjective responses. Feedback from non-native English-speaking students reflected apprehension about potential biases and emphasized the
Office of Public Affairs site) are a helpful resource to know about, but don’t use them in this class. Be creative! • Visuals should help the audience digest the information (e.g., chunking up information into bite-sized pieces, helping the audience “see” how the design would be used, etc.). • Be mindful about choosing images of people from various backgrounds, reflective of the modern American workplace. Citation/source use basics: • Bottom line: Make a good-faith effort to provide appropriate attribution for outside sources/artwork that you use. If you pull a source/graphic from a journal, book, etc., provide a citation (and a references page). Use graphics in the spirit in
scope, espe-cially in the final semester, many noted that the Capstone provided essential real-world experience.However, there were concerns about uneven workloads among team members, with some suggest-ing more structured peer evaluations to improve team dynamics.For continuous improvement, the survey highlighted the importance of integrating more technol-ogy, such as Building Information Modeling (BIM) and AI design tools, into the course. Somesurvey responses also suggested a two-semester sequence to allow more time for the design pro-cess and client feedback. Instructors recommended enhancing project management and collabora-tion tools to reflect industry practices better. Overall, the Capstone course was praised for bridgingthe gap between
accuracy of soil moisture, Fig. 5 Accuracy of Different Techniquestemperature, and pH sensors across various testscenarios. The x-axis represents different test scenarios, ranging from 10 to 100, each correspond-ing to a distinct experimental condition with varying environmental factors, such as soil types,moisture levels, and temperature ranges. The numerical values reflect incremental complexity inthese scenarios, simulating real-world agricultural conditions. The y-axis displays accuracy per-centages, demonstrating a trend of improving sensor accuracy as the scenarios progress from lowerto higher values. This improvement is attributed to the sensors’ adaptive calibration and
threats: a reflection on the impact of artificial-intelligencechatbots on cognitive health” Frontiers in psychology, vol. 15 1259845, April 2, 2024. Available:https://doi.org/10.3389/fpsyg.2024.1259845 [Accessed November 11, 2024].[26] OpenAI, ChatGPT response to query regarding ethical issues of generative AI use inengineering fields, https://chatgpt.com/, [Accessed September 17, 2024.]
favorablyof in recent years (e.g. [7]). Peer-led research suggests that students are more likely to engagewith content that reflects their own experiences, in particular when presented by their peers.There are numerous pedagogical approaches and theories that support using videos foreducational purposes, particularly in Civil Engineering. According to [8], these videos offer amultimedia learning theory through cognitive load management. This theory can demonstratehow the video's design was effective in avoiding overloading the viewer with too muchinformation in a single video, and how these videos were carefully designed and edited bystudents to have a clear message for their peers to be able to watch videos they enjoy and learnfrom. Studies like [9
integration of Generative AI in engineering education has proven to be a trans-formative force, enhancing traditional learning methodologies and empowering students toachieve greater creativity, depth, and innovation in their academic work. Through the practicalimplementation of AI-driven tools in courses such as Circuit Analysis, Dynamics, ElectricalPower, and Industrial Power, students have experienced significant improvements in project qual-ity, critical thinking, and collaboration skills. These advancements reflect the potential of Genera-tive AI to revolutionize PBL and to support personalized learning experiences, enabling studentsto excel in the rapidly evolving field of engineering. However, alongside these benefits, importantethical