, and task complexity, reflecting strategies proposed by [21], [22], [23] and [24] inmulti-layer AI control frameworks.For AI models that must share parameter updates—such as robot learning strategies, anomalydetection patterns, or domain-specific heuristics—we adopt a bidirectional exchange between local(ϕℓ ) and cloud (ϕc ) networks: ϕℓ (t + ∆t) = α ϕℓ (t) + (1 − α) ϕc (t), N h X i ηc (n) ϕc (t + ∆t) = ϕc (t) + N ϕℓ (t) − ϕc (t
- and post-course surveys will be explored to better understand innovative practices that help strengthenundergraduate students’ acclimation, advancement, and commitment in engineering pathwaysrelated to engineering and aerospace related fields. Findings show how peer mentoring andcollaborative team learning have potential to increase the success and engineering careeraffiliation for non-traditional groups, specifically Veterans, active military and adult studentlearners in engineering. Peer leaders were identified from previous courses and shared similarcharacteristics as the adult learner, Veteran and active military student population that wascurrently enrolled in the course. Through a qualitative approach, the aggregated reflections
74 20683.80 279.51 6 58 4082.33 70.38Participants and Officers Perspectives on the Learning OutcomesDuring the development of the model for the engineering design competitions, the officersdeemed it necessary to outline what they envisioned the participants learning from thecompetitions. Furthermore, the officers decided to refrain from explicitly stating these learninggoals to the participants, but they did allude to goals using the rulesets and objectives given.After the competition, the officers always held an open discussion among the teams to reflect andshare their experiences, challenges, growths, and key takeaways. ESG officers
in Higher Education, vol. 32, No. 2, April 2007, pp. 159–181[6] M. J. Ford and H. Dillon, “A secure, Scalable Approach to Student-Graded Homework for Self-Reflection”, 2024 ASEE Annual Conference & Exposition, Portland, OR, USA, June 23-26, 2024[7] N. M. Edwards, “Student Self-Grading in Social Statistics,” College Teaching, vol, 55, no. 2, August 2010 [Online]. Available: https://doi.org/10.3200/CTCH.55.2.72-76[8] V. Cherepinsky, “Self-Reflective Grading: Getting Students to Learn from their Mis- takes,” PRIMUS, vol. 21, no 3, April 2011. [Online]. Available: https://doi.org/10.1080/10511970903147861[9] P. M. Sadler and E. Good, “The Impact of Self- and Peer-Grading on Student Learning
supervisors in the VM setup exist on thesame machine and the communication delay between them is little compared to having twodifferent Raspberry Pi’s to communicate. This communication and processing delay add up tothe latencies and we can see these reflections in Figure 3a and Figure 3b. a) Virtual Machine (VM) b) Raspberry Pi Testbed Figure 3 Workload Distribution ComparisonConclusionFrom the overall experience of iEDGE, we conclude that such an initiative for engaging next-generation engineers and scientists in hands-on implementation plays a pivotal role in bridgingthe disconnect between theoretical knowledge and practical application. Our REU student
, and antifouling. Each experiment wasconducted independently, with no direct integration between them, allowing students to focus onspecific skills and techniques relevant to each topic, without an overarching project orconnection between the various lab activities. This method reflected a more traditional laboratoryteaching style, where each experiment serves to reinforce a specific set of theoretical concepts.In contrast, the Spring 2025 semester will implement a project-centered approach, wherestudents will be assigned a semester-long biomedical engineering project. This project willrequire students to conduct a series of interconnected tests on a biomedical device to determineits efficacy, simulating real-world engineering challenges. The
professional practice.• We emphasize the importance of understanding and maintaining ethical standards in every aspect of their work, helping students to navigate complex situations with integrity and accountability.• By embedding these ethical considerations into our teaching, we prepare students to make informed, responsible choices that reflect their commitment to professionalism and societal impact. Why Inclusive Belonging for Excellence Matters in an Education Setting• Goes beyond merely providing access to education.• Involves actively reducing barriers to understanding the material presented.• To achieve this, it's essential to consider the unique and varied lived experiences of students. • For example
occurredvia self-reflective evaluations. For example: 1. an initial survey asked students to reflect upon the relative importance of all the skills involved in an engineering career 2. the DiSC and Myers-Briggs assessment methodologies were used so students could assess their own leadership traits or skills as well as those exhibited by others; 3. questionnaires were routinely used during team projects, both having individuals assess intra-team efforts as well as students evaluate the performance of other team’s oral presentations An example of the assessment of individual team members’ performance during the termproject is presented below. Final Term Project
problem. That is, learning must have a purpose beyond, "It is assigned". 2. Support the learner in developing ownership for the overall problem or task. 3. Design an authentic task. 4. Design the task and the learning environment to reflect the complexity of the environment they should be able to function in at the end of learning. 5. Give the learner ownership of the process used to develop a solution. 6. Design the learning environment to support and challenge the learner's thinking. 7. Encourage testing ideas against alternative views and alternative contexts. 8. Provide opportunity for and support reflection on both the content learned and the learning process.The implementation of our discovery-based
module [3]. Software metrics proposed more maintenance than others, even before system isand used for procedural paradigm have been found inadequate completed [2]for object-oriented software products [1]. The word syntacticreflects to what extend we can use source code syntax to B. Semantic metricsestimate some quality attributes. In [12] quality is defined asthe degree to which a product is bug-free. Traditional syntactic metrics discussed above reflect howIn this point it is important to say that the use of pre
between theory and application [7]. Onestatistically significant difference in student student reflected that he learned more during thisachievement between the two groups. However, by the single project than in an entire semester of physics,third year, students in STEM PBL schools exhibited reinforcing the effectiveness of problem-solvingsignificantly higher scores in subjects such as through hands-on experimentation [2].geometry, probability, and problem-solving [2]. These III. LONG-TERM EDUCATIONAL IMPACTsubjects, which require high levels of spatial reasoning OF PBLand conceptual thinking, directly benefit
-AIby enabling automated assessments, personalized learning, interaction necessitates examining trust across threereal-time content updates, clinical simulations, and dimensions: dispositional, situational, and learned trust [5].adaptation of educational materials to reflect current Dispositional trust is a stable tendency to trust AI, shaped byresearch and practice [1]. This technological shift comes personality traits and past experiences. Situational trust, byat a time
practices 12, 13, 23, 26, 27. Thosereferences applicable to multidisciplinary teaming are: • Basic design and teamwork principles for student teams and best practices identified 1, 10-14 • Teaching teams with software applications 26 • Pinpointing the importance of reflection in teaming experiences 27 • Teamwork problems for large classes 28 • Teamwork and management skills 35 • Gender issues 39.Evolution of the KU Teaming ProjectThe teaming project at KU began in the early 1990s as an independent study project for onestudent, an Algerian student who spoke fluent French and wanted to find a control systemsposition with a company in a country where his French language ability would be an asset. Hewas later successful in
7 © American Society for Engineering Education 2015 ASEE Zone III Conference (Gulf Southwest – Midwest – North Midwest Sections)problem and for addressing the challenges of completing an inhabitable and marketable officespace.2.3 Results of the activityThe grade of the group is reflected by the successful completion of two different tasks, the posterwhich has details of the solution for successful design completion and the scaled model of thebuilding/site made from prescribed materials, which in this case was foam board and corrugatedpaper. Samples of poster presentation and scaled models in 1/50 are shown in Figure 8 and 9.These models were graded on
prepared.Both the individual and team score is reported and contributes to their final grade. The sayingthat 2 heads are better than one is generally true and students must practice being good teammembers as a good team score will reflect good contributing members while a poor team scoreonly reflects upon unprepared team members.A mid-term, final exam and weekly homework assignments, as well as the use of iPads as atranslation, quiz, and testing tool, compliment the required student language practice andevaluation components already described.FindingsA pre-test/post-test 50 question language self-assessment survey was given to the students in theSpanish for construction course during the spring 2010, fall 2010, and spring 2011 semesters.The survey
a controlled and safe environment. The challenge course setting provides an opportunity for groups and individuals to learn about themselves and address personal, interpersonal, and organizational issues. Each team member brings a unique personality and style of communication that contributes to the dynamics of a team. Team members discover how vital individual contributions are to the success of the team. Participants have an opportunity to reflect on their team-building adventure and apply their experience to everyday life11.” Proceedings of the 2010 American Society for Engineering Education Zone IV Conference Copyright © 2010, American Society for Engineering Education
. ©American Society for Engineering Education, 2025 A narrative study of food insecurestudents in engineering and computing Justin C. Major, Ph.D 2025 CoNECD Conference This material is based upon grants supported by the New Jersey Office of the Secretary of Higher Education (NJOSHE). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the reviews of NJOSHE. 1 Hunger is a serious issue among college students. • ~24-30% of college
speaker workshops, STEM activities, and industryfieldtrips. One major goal of the ANGELS program was to promote self-efficacy, interest, and asense of belonging for the young girls. Throughout the summer experience, we encouraged thestudent participants to imagine themselves as engineers or agricultural scientists and had studentsengage in reflective processes (e.g., journaling) to foster their sense of connection to STEM.A secondary focus was on ‘soft’ skills such as teamwork and problem-solving through project-based learning using the Project Management Institute Education Foundation’s PM Skills for Lifecurriculum. The ANGELS Enrichment Program began in the Fall of 2023 providing projectmanagement tools and techniques that encouraged a
activity with students in one of herengineering classes. Many teachers have decided to teach their own engineering activities intheir classrooms. For instance, several teachers have used some version of the breakout boxactivity presented during the workshop to integrate engineering into their curriculum. Oneteacher who teaches a career and technical education course focused on introducing studentsto teaching careers developed a lesson that required students to apply systems thinking, a skillrequired for engineers, when designing a lesson plan.As we reflect on this project, there are several key lessons that stand out. First, it’s essential tounderstand the local context and the specific needs of the population you’re working with—thiswas the
509Literature suggests that a capstone or practicum is a unique end of the program experience thatpromotes students’ capacity to implement their completed coursework and use the knowledgeand skills they have learned3,4,5. Different academic programs structure capstone projects withdistinctive objectives5. This paper analyzes community projects in the Bachelor of Science inInformation Technology Management (BS-ITM) academic program for non-profit and low-budget organizations in the technology space. Past available work describes approaches andrecommendations for designing successful capstone projects6,7 including the benefits ofpromoting reflection and critical thinking8,9. Most of these past works focus on the value ofcapstone projects to the students
active participants in their own education. Students learn far more by doingsomething active rather than by simply watching and listening2. Therefore, to take advantage ofthe studio-laboratory format of the course proposed in the new curriculum, the faculty waschallenged with developing experiential learning experiences to enhance student learning.Experiential LearningExperiential learning is learning through reflection on doing, which is often contrasted withdidactic learning. Experiential learning is related to, but not synonymous with, experientialeducation, action learning, adventure learning, free choice learning, cooperative learning, andservice learning. While there are relationships and connections between all these theories ofeducation
also broughtforth other variables in distance learning that were not necessarily taken into account before :(1) the inability to travel, (2) copyrights and intellectual property rights, (3) the developmentof a meta-language, of instructions and of content.Situational and educational constraints play into the dynamics in the implementation ofdistance learning lessons. In order to adapt best to specific cases, a larger reflection mustoccur on the type of scenario-building that should be put into place. We can now askourselves how the modifications made in resources for student-inmates can benefit otherstudents. Distance learning that occurs in a learning context without Internet access is a motorfor the development of scenario-building of course
. To illustrate this, we consider the TIPP classification mentioned inthe Introduction. TIPP classifies exercises by knowledge type (information and mentalprocedures), which are further divided into six increasingly reflective processes. Homeworkexercises were selected from one chapter of an introductory physics textbook5 used at a largepolytechnic state university. Exercises were classified by two students and one instructoraffiliated with the phiMap project. Figure 6 displays the frequency of exercises per TIPPcategory for this chapter. For this sample audit, we consider only the first three cognitiveprocesses, which in the figure correspond to retrieval (1a–b), comprehension (2a–b), and analysis(3a–e). Note that higher levels (knowledge
the problem goal9. In comparison, experts would applyan equation to the information given in the statement of the problem and see if that strategyrealizes the goal. Along these lines, one can expect students to fixate on physics quantitiesdifferently than would experts.The trace of a problem formed in one’s memory reflects the attention allocation and strategiesdeployed during its solving. Verbal protocol analyses have revealed novices’ representation ofproblems to be detailed and less thematic than that of field experts7. According to recognitiontests, novices remember more features of a problem diagram, even those that are non-meaningfuland less thematically relevant10. This raises the concern that problems excessive in content maylead
formative and summative assessments. We believe the daily quiz approachprovides a valuable and efficient means for assessing student performance. We presentassessment results showing correlations between student quiz performance, midterm examperformance, final exam performance, and overall course performance. Finally, we discussstudent opinions regarding this approach to course instruction and assessment, and we reflect onthe benefits of using this approach in our classes.IntroductionThe following paper describes our experiences using daily quizzes to assess student performancein a third-year civil engineering course on geotechnical engineering. The lead author hasassigned daily quizzes in this course for over 10 years. The paper's co-author
for atotal of four evaluations. In these evaluations, each student rates each of their teammates (andthemselves) in six categories that reflect different aspects of teamwork. In addition, students arerequired to provide a pair of written comments for each of their teammates and themselves.After review by the instructors, the peer evaluations with the comments are released back to thestudents for their review. This entire process is supported by classroom instruction to help studentsunderstand how to give and receive peer feedbackAlthough these peer evaluations are used in grading, we believe that peer feedback and self-reflectionare the most beneficial aspects of the process for students. A critically important step in this processis
. Department of Defense (DoD) has significantly increased its budget requests in recentyears3, 4, 5, 6, 7, 8. A substantial portion of this funding is allocated to Research, Development,Testing, and Evaluation (RDT&E) to maintain the U.S. technological advantage. For FY2025,shown in Figure 1 (left), the DoD requested $849.8 billion8, an 18% increase compared toFY2020. During the same period, demonstrated in Figure 1 (right), the RDT&E budget rose by37.3%, making it the budget element with the greatest percentage increase and reflecting theDoD’s focus on addressing emerging threats. Figure 1. Budget Request (left) and Percentage Changes (right) between 2020 and 2025Although the DoD shares general budgetary information, specific details about
as water management, soil conservation, and crop andlivestock optimization. In addition, the program aims to provide students with the necessaryskills to enter the agricultural field and apply what they learned in real-world scenarios. Thisranges from working with producers on technology adoption to the creation of new innovations.The ET-AG Program also serves as a bridge between academia and the agricultural industry.Faculty are actively seeking to collaborate with professionals and entrepreneurs from diversesectors to design curriculum and projects that reflect real-world agricultural demands. Thesecollaborations expose students to practical applications of agricultural technology, fostering thecritical thinking and adaptability needed to
University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering Education 2school graduates over the next 15 years. This growth will reflect a more diverse student population,with 75% of graduates being non-White. To address workforce needs, Texas has a few initiativesunder the Closing the Gaps exas's accountability system 2. The system utilizes the followingparameters1. Academic Achievement • Reading/Language Arts (RLA): Measures student performance on standardized tests in reading and language arts. • Mathematics: Assesses student performance on standardized math tests.2. Graduation Rates • Four-Year Graduation Rate: Tracks
given different term projects by the semester.For the term project in Fall 2022, custom-designed two-wheeled robot platforms were given to thestudents. A picture of the assembled and fabricated two-wheeled robot platforms is shown in Figure 1.The term projects were managed by groups. For instance, two students shared one robot unit. Figure 1. Custom-designed two-wheeled robot platforms for Fall 2022.As shown in the center of Figure 1, a Pi-Top 4 unit is mounted on the base of the 3D-printedtwo-wheeled robot platform. The two-wheeled robot platform includes a Camera, ultrasonic sensor,reflectance sensor, and gripper. Pictures of the selected tasks to perform for the term project in Fall2022 are shown in Figure 2.Figure 2 (A) shows