example, to capture how students utilize feedback information, the code‘Use Feedback Information to Inform Teamwork Behaviors’ was broken into three subcodes thatcapture (1) what students planned to change about their behaviors, (2) actual changes made, and(3) the resulting impact on the team. We believe that the codebook effectively captures theelements of feedback literacy, as applied to our PFR feedback process.Implications and Future WorkThe extension of feedback literacy theory provides several implications for our larger study andthe field of engineering education. The codebook derived from feedback literacy theory has beenused to code the reflection data. We found that this codebook is a useful way to understandstudent perceptions of the
Technology Systems.Dr. Michael Preuss, Exquiri Consulting, LLC Michael Preuss, EdD, is the Co-founder and Lead Consultant for Exquiri Consulting, LLC. His primary focus is providing assistance to grant project teams in planning and development, through research and external evaluation, and as publication support. Most of his work is completed for Minority-Serving Institutions and he publishes regarding findings on a regular basis.Jorge Federico Gabitto, Prairie View A&M University ©American Society for Engineering Education, 2025 Creating Mixed Reality Lab Modules for a Chemical Engineering Fluid Mechanics Lab – Work in Progress
at Florida Gulf Coast University. He holds a Ph.D. in Environmental Design and Planning with an emphasis in Smart Construction and the Smart Built Environment, a M.Eng. in Computer Science with an emphasis in HCI, and a M.S. in Civil Engineering with emphasis in Construction Engineering and Management, from Virginia Tech. His research work focuses on investigating ways to improve workers’ productivity and developing systems to implement those improvements in challenging environments such as industrial and construction applications. His research currently focuses on technologies such as voice agents and Augmented Reality systems to provide multi-modal solutions to address activity support and knowledge delivery
education [11].Dataying – Data Science literacy for Early ChildhoodMalallah proposed a dataying framework to teach data science concepts to young children ages4–7 years old. The framework development included identifying K–12 data science elementsand then validating element suitability for young students. Six cycled steps were identified:identifying a problem, questioning, imagining and planning, collecting, analyzing, and storysharing [12]. This paper utilizes the dataying framework to develop data science missionswithin the VW environment. Figure 4. Dataying [13] Figure 5. Coding [14]Coding literacy for Early ChildhoodCoding for young children introduces programming concepts tailored to their
, students norms research and teaching - positive experiences experiences, career plans, and/or mental health wellbeing, etc.). - differentiation of student interactions with peers The University of Life satisfaction, University of - items specific to California Graduate depression, mentoring and California engineering culture and Student Well-Being Survey advising, financial graduate norms [28] confidence
coaching for and by language teachers (e.g., peer coaching, critical friending in educational contexts). Ari has planned and facilitated language and literacy workshops and lectures, as well as curriculum development, in Ghana, Israel, Italy, Saudi Arabia, South Africa, Sweden, Thailand, and the USA. As a private person, Ari travels to the Israeli occupied West Bank of the Jordan river where he is a protective presence for Palestinians and Bedouins. Are also documents Israeli settlers who engage in violence, agricultural theft, intimidation, and threats against Palestinians and Bedouins. Ari’s videos, notes, and presence support a coalition of non-government organizations working in solidarity with Palestinian
to 1500words in length. This assignment invited them to synthesize their readings and conversations across course topicsand accommodated various formats. Students could write traditional 5-paragraph essays on topics of their choice[17], prototype an artefact that uses GAI and write a report on the design and user testing, or take a creative writingapproach to imagine their futures in a GAI-powered world. They were required to submit a short Proposal midwaythrough the quarter detailing their plans and received instructor feedback before they went on to craft their papers.Group Project This set of assignments provided students with the opportunity to experiment with GAI tools within variousstages of the UCD process in a sandboxed
demandstrategies such as setting up milestones and actively coaching the students [21]. More facedchallenges are institutional constraints such as limited budgets and new ideas requiring extensiveplanning. Lastly, most PSI research focuses on psychology and behavior analysis of students,raising concerns about the generalizability of findings to other disciplines and diverse studentpopulations [21]. Accordingly, careful planning was done in Math Launch to benefit from PSIand address identified challenges. The customized PSI tenets in Math Launch pedagogy are:1. Preparation of written materials: ALEKS was set up so it provided an explanation page before a student attempted an exercise which enhanced student understanding and helped with improving self
, Construction, and Planning from the University of Florida in 2010. Dr. Wu’s teaching interests include Construction and Engineering Graphics, Design Visualization, Design-Build Project Delivery, Building Information Modeling (BIM), Advanced Planning and Pre-construction, and Construction Management Senior Capstone. He received the 2018 Teaching Excellence Award of the Associated Schools of Construction (Region 7) and the 2019 Provost Award in Innovation from Fresno State. Dr. Wu’s research focuses on BIM, educational technology, extended reality (XR), and construction and engineering education. He has published more than 70 articles and conference proceedings in these areas. Dr. Wu’s research has been funded by regional and
, particularly in applications requiring the model to handle varied datasets effectively. A similar trend was observed for SSIM. For LPIPS (where lower values indicate better performance) when both rings wereused for training, the LPIPS values were a bit more consistent across both test sets, demonstrating improved generalization.C. Long-Term Deployment Challenges and Sustainability The long-term goal is to develop a real-time underwater monitoring system for continuous mussel behavior analysis innatural aquatic environments. We are planning to use the proposed 3D imaging system as a source of images to train themodels for the underwater devices. However, several challenges must be addressed for effective deployment of the underwatersystem. One
empowermentinvolved being in the research project. This reoriented their perspective and ability to see possibilities of what theycould do in the classroom.Lesson plansTo create ML-aligned lesson plans, the teachers started by reviewing the required state standards, identified whichones aligned well with coding, and then worked backwards to design lesson plans that integrated both codingand the standards seamlessly. Note that, given the technology limitations for their course offerings in the publicschool setting, they were only able to utilize online coding program, Scratch. This limited the extent of MLconcepts that could be explored in the structured learning setting of the classroom, such as with Orange or Python.Scratch provided an interactive platform
different profiles can influences the load capacity of astructure without necessarily changing its weight. These profiles are clamped on one side andloaded by a point load at the free end for the static experiments. Due to the different bendingstiffnesses, different deflections are achieved with the different profiles, even though theyweigh the same. To convince the participating audience, these beams should be easilyremovable for weight comparison.Another topic of the planned workshops is the deliberate shift of the natural frequencies of astructure through a suitable selection of the profiles to avoid undesirable resonances whilemaintaining the weight of the structure. This is demonstrated by carrying out modal analyseswith the same cantilever
explore strategies to increase graduation rates by 5% during thecurrent academic year. It focuses on identifying and supporting ’near completers’, students who,while slightly behind, need only a few additional credits to graduate at the end of the year. Us-ing progress analytics, the study identified near-completers as those who have completed 70% ormore of their degree requirements prior to the start of the current academic year. By analyzingfactors such as degree progress, credit utilization, and barriers to completion, the study examineshow targeted interventions can address common challenges faced by these students. Mid-yearevaluations conducted after the fall semester reassess student progress and inform refinements tospring enrollment plans
student participants, the Blue Team is tasked with designing, implementing, and maintaining a secure network based on the competition's scenario. They act as the organization's IT and security professionals, defending their systems from attacks while ensuring operational continuity for essential services. Their role requires technical skills, strategic planning, and adaptability to respond to emerging threats. We also allow a guest division, which, for the ICDC, comprises teams from the Kosovo security forces and the Iowa National Guard. The only difference for a guest team is that they are not competing for trophies. 2. Red Team (Attackers): The Red Team comprises cybersecurity professionals and
75.3 Results of Faculty Survey and Course PlanWe collected faculty’s course plans indicating how they might incorporate InSiDE into theircourses. Faculty created specific learning objectives and devised ways to use the InSiDE in theirteaching. We did not systematically analyze faculty’s course plans, but we reviewed them. Mostfaculty designed a traditional lecture course, incorporating active learning techniques, while twofaculty designed a flipped classroom approach.The 13 faculty who attended our workshop came from four different CSU institutions. Ten teachin the Mechanical or Aerospace Engineering department at their institution, two are inElectromechanical Engineering Technology, and one is a Civil Engineering instructor.Faculty were asked
skills in applying AI chatbot tools, and evaluate theaccuracy, relevance, and impact of AI outputs in enhancing construction project efficiency. Thestudy involved both undergraduate and graduate students enrolled in different courses.Undergraduate participants were part of the "Project Planning & Regulations" course, dividedinto two sessions, with most majoring in Civil Engineering (CE) (84%) and the rest inEnvironmental Engineering (EE) (16%). Graduate students were enrolled in the "ComprehensiveEstimating" course, part of a Master of Science in Engineering program focusing onConstruction Management (CM). This graduate course is delivered asynchronously, requiringstudents to watch recorded videos each week and complete weekly assignments
engineering programs. It uses findings from a pan-Canadian survey oncareer motivations and aspirations of undergraduate engineering students conducted in 2023.Background and Literature ReviewStudents struggle with career decisions throughout their undergraduate years, oftencontemplating options with no direct relationship to their undergraduate major [6]. Studies havealso found that declaring an engineering major is unrelated to plans to persist in engineeringpost-graduation, and satisfaction with an engineering major does not necessarily translate to astudent pursuing an engineering career [7] [8]. On the other hand, Masi et al. found that“although a student’s major is not always directly linked to his or her career choices, it is oftenan accurate
student self-efficacy and creativity in CS education by fostering independentproject development. We plan to study this hypothesis in future research. Additionally, we discussthe operational costs of our autograding system, its compatibility with existing frameworks, andthe current limitations of our approach. By enabling more creative and personalized assignments,FlexiGrader has the potential to transform assessment practices in introductory computer sciencecourses.1 IntroductionIt is well established in computer science (CS) education literature [1], that learning-by-doingand rigorous practice are effective for students to gain programming expertise. Consequently, theformative and summative assessments in CS courses often take the form of
graduates and 2) to determine which factors of EMchanged pre- and post-intervention for the students. These factors were identified previously byLi et al.[5] and are listed in Table 1. Table 1. List of factors[5] that the EM survey[6] questions load on to. • Intrinsic curiosity • Value creation • Risk management • Ability to learn • Problem solving/logical thinking • Ability to anticipate technical development • Systems thinking • Team building • Engaging stakeholders • Ability to assess financial value • Data driven decision making • Exposure to entrepreneurship • Career plan
finaldesign project to build spatial skills. These assignments were scaffolded to ensure that skillsintroduced early were reinforced and expanded upon. 4.4.1 Hands-on Activities Relevant to Spatial Vis ProgramThe hands-on activities developed by eGrove Education were integral to the course andcomplemented the Spatial Vis™ program. While some activities followed the original design, theinstructor slightly modified others to align with course goals. These activities offered studentspractical, interactive opportunities to apply spatial reasoning skills, enhancing theirunderstanding through tactile and visual engagement. a) b) Figure 2: (a) Example of top-view plans from the Lesson 2 module in the Spatial
to offer a variety of learningopportunities for students [10], [19]. This need to be flexible and adaptable around variousaspects of educational programming in the K-12 space can be evidenced in many ways. Forinstance, a planned workshop could not come to fruition due to scheduling conflicts in theclassroom. Leaf Chromatography was initially planned at the midpoint of the series, whenstudents were learning about plant cells and chlorophyll in their science class. Though theprepared slidedeck and protocol were not tested in the classroom, this workshop’s documents areshared alongside the other Mobile Bioengineering Lab deliverables on the website.Overall, the post-workshop survey results exhibited generally positive attitudes toward
severaldisciplines, including business [3-6], engineering [7-9], healthcare [10, 11], and biometrics [12].A number of institutions have been teaching systems thinking and examining its integration inthe engineering curriculum [13-16]. The tools for systems thinkers, as identified by Acaroglu, areinterconnectedness, synthesis, emergence, feedback loops, causality, and systems mapping [17].In engineering, systems thinking enables us to plan, design, and optimize complex systemseffectively, leading to more reliable and adaptable solutions and aiding in managing risks,reducing failures, and enhancing system performance. By understanding the relationshipsbetween various components, engineers can create systems that are easier to maintain andmodify.The following
across all students.AzizAziz (all student names are pseudonyms) is a bioengineering major who described herself as “ona five-year plan” for graduation because she needed to retake a calculus class early in herprogram, and shared her experiences as a female in a male-dominated field. She emphasized thepositives, such as being more easily noticed and forming connections with women in STEM,including her supportive sorority. She expressed that having peers like herself fostered a sense ofbelonging, stating, “Having people who are like you, I think things like that just make you feellike you belong.” For example, Aziz reflected, “I'm gonna go sit by the one girl in the classbecause that just feels safe. I think it helps to push myself to make friends
. They explored concepts from the natural worldand learned about intellectual property to protect their creations from idea theft.Pop-Up Venture™: Campers became innovative entrepreneurs by designing their own mini pop-up businesses. They developed business plans, managed startup funds, created marketingstrategies, and launched their businesses during a culminating pop-up event, gaining valuableentrepreneurial experience.By delivering authentic invention education, National Inventors Hall of Fame programs aim tobuild the I Can Invent® Mindset - essential skills and traits that will empower children to invent.With these activities in mind, an evaluation of Camp Invention was developed to explore studentoutcomes related to their engagement with
situation accurately, often necessitating an understanding of the various interrelated factors. This stage demands a keen awareness of both the technical and non-technical aspects of the problem. B. Formulating Solutions to CEP: Once a problem is identified, the next stage is to devise a strategy or model for solving it. This involves generating hypotheses, selecting appropriate methodologies, and planning the execution of solutions. Funke [8] highlights the importance of dynamic reasoning in this stage, where multiple variables and constraints must be considered to develop viable solutions. The formulation stage bridges theoretical knowledge and practical application. C. Solving CEP: The final stage
opportunity torevisit the MCDP courses. Initially, the plan for the RE program was to adopt the MCDP coursesfrom the ME program, which span over three semesters to give more time for fabrication andassembly of mechanical structures. However, the two targeted professional scenarios of the REprogram were directly aligned with the M-MCDP courses, i.e.: i. Design a robotic system involving the integration of mechanical, electrical and computer components, for a given application context. ii. Manage multidisciplinary teams for robotic projects.Additionally, it was decided that the RE program would be managed at the faculty level,bridging the EECE and ME departments, which facilitated the allocation of resources forestablishing the new
our current courses throughparticipation in a RHIT-sponsored Sustainability Teaching Network (STN). This community ofpractice (CoP) created time and space for faculty across departments and programs to developcourse updates and provided modest financial compensation for our development work. Ignitedby this CoP, our course updates benefited from a transdisciplinary approach, as Dugan is inmechanical engineering and Chenette is in chemical engineering. This CoP also let us betteralign what we do in the classroom with industry expectations and with our institutions’ newstrategic plan, which has a theme around infusing sustainability into education [7].We embarked on this study to understand students’ learning, interest, and reception of
helmets, select appropriate materials for bikes and helmets, applystructural engineering and mechanical systems, engage in ergonomic design thinking, andinnovative bike designs. These experiences are rooted in everyday contexts, enabling students toconnect STEM concepts with their backgrounds.Figure 1. Initial conceptual diagram representing the connection between peer interaction andlanguage resources in informal learning environments associated with learning through biking.The program, which was planned to impact 96 students in grades 9 and 10 over three years,adopts a comprehensive research design. Data collection will include observations and videorecordings of sessions, semi-structured interviews with students, mentors, and instructors, as
was distributed tostudents from an engineering technology program at a large public university in the U.S. In thenext phase of work, we plan to collect experiences of at least 500 students from differentcolleges and universities, ensuring a broad and diverse range of responses, thereby enhancing thedepth and breadth of the findings.The quantitative survey aims to explore several aspects of students’ experiences. Questions focuson understanding their decision to pursue an engineering technology degree, their future, andtheir sense of preparedness for the program. The survey also asks students about their confidencein completing the degree and their strategies for managing academic challenges. Additionally,students are asked to assess the
-computer integration technologies, whilesimultaneously providing the researcher with valuable experience in robotics and artificial neuralnetwork based controls.An ideal prototype would demonstrate the following capabilities: • Provide the operator with the ability to construct a robot as needed from individual limbs, without requiring explicit programming of geometric parameters. • Self-adapt to changes in geometry, without user, utilizing integrated sensors to detect its own environment, identify potential obstructions, and determine safe movement ranges; and • Execute high-level commands such as object retrieval without requiring explicit path planning, demonstrating the ability to