. Theformative feedback included short surveys after each session and a plus/delta (+/Δ) activityduring the last session. During this activity participants were asked to list positive aspects of theprogram (+) and suggested changes (Δ). All feedback was anonymous. Additionally, theorganizers met weekly to discuss how each session went and plan future sessions whileincorporating any feedback received.In the spring of 2023, we asked an evaluator to follow up with the participants of the pilotprogram to determine how their job search had progressed since completing the program and getfeedback on the program after having participated in a faculty job search. This survey wasadministered in Qualtrics by the program evaluator. The quantitative data was
, [6] found that during atransition from quarters to semesters, students faced increased anxiety levels about graduating ontime, new degree requirements, and credit conversions. As another example, there is fear ofadditional faculty workload under the new system [7].Initial curriculum development We approached the curriculum design using a backward design approach [8], [9]. Thisapproach has three stages: 1. Identify design results, 2. Determine acceptable evidence, and 3.Plan learning experiences and instruction. It includes establishing curricular priorities ofknowledge and skills of enduring understanding, important to know and do, and worth beingfamiliar with. The design results that we identified were the goals of the curriculum
. technical memos h. technical reports4. Do you have any general comments about our writing for introduction to engineering project? (i.e., additional topics, ideas, etc.)Questions 1, 2, and 4 were ‘text-entry’ used to gather open-ended feedback from respondents.Question 3 was ‘rank order’ and was used to determine each respondent’s order of preference forthe list of items. 2Review of Writing AssignmentsIn EGR 110, there are four writing assignments – the Research Paper, the Project Plan, DesignReport 1, and Design Report 2. The intention is that the Research Paper and Project Plan becomethe first two major sections in Design Report 1, and
balancing as well asgenerating and receiving the UART communication. Once the base BMS kit had been selected,the next step is to select components to integrate wireless communication. Initial Designs includea plan to establish a wireless network. To do this an ESP32 board was chosen to both translatethe UART signal from the BMS as well as establish a wireless mesh network for communication.Each BMS pack coupled the TLE9012AQU BMS board with its own ESP32. The BMS boardscan power themselves through the pack directly, however the ESP32 will not work as well with sucha large range of voltage. In this case, a buck converter will be connected to power each ESP32with a stable voltage despite any changes in pack voltage. Each battery pack will then
engineering studentsdevelop a specific way of thinking and approaching problem-solving that is characterized by curiosity,connections and a focus on creating value [5]. By cultivating an entrepreneurial mindset, engineeringstudents can learn to be more creative, adaptable, and resilient in their professional and personal livesregardless of whether they choose to become entrepreneurs or intrapreneurs. Because of the seeminglynatural overlap between makerspace skill development and EML, faculty development efforts that mergethe two frameworks have been created. B-FAB, or the Bucknell Fabrication workshop, was a 3-dayexperience for faculty and staff to introduce makerspace equipment, discuss pedagogy, and plan forclassroom implementation [6]. The Kern
engineering, non-engineering, and engineering adjacentactivities, and finally, elicit their understanding of how their goals are connected (or not connected)to the activities they participate in.Data Collection Plans – We are presently recruiting engineering students to participate in 45-60minute semi-structured interviews. These students are being recruited through institutionallistservs. After a saturation recruitment of 15-20 students, we will purposefully sample a subset of8-12 students that capture as many academic years and engineering disciplines as possible.Participants will be interviewed by the research team using our protocol. These interviews will betranscribed using the Otter AI platform. Our sample size is appropriate for deductive
developed to date, classroom implementation plans,assessment strategy, a preliminary analysis of student learning gains and which will be furtheranalyzed by the time of the ASEE Work-In-Progress presentation, and future directions for con-tinuous improvement.Fluidized Bed LCDLMDesign, Development and Testing of the Fluidized Bed LCDLMThe FB DLM is designed to help student conceptual learning as well as promote active learningof packed bed and fluidized bed theory in a normal classroom. This new module has been con-structed from mostly off-the-shelf hardware. Construction of the FB DLM requires minimum ad-ditional modifications to the purchased hardware such as drilling holes in the PVC piping, cut-ting and inserting a mesh, filling the column with
represent the interests and perspectives of a wider range of stakeholders. Findings fromFreeman and Huang (2015) suggest that diversity in inputs, as indicated by author location,ethnicity, and references, results in higher contributions to research, as indicated by citations andimpact factors. Research has also shown that networks that prioritize DEI are more likely toattract and retain talented individuals from underrepresented groups, which can enhance thenetwork's overall expertise and impact, as well creativity in work output (Lee et al., 2022;Hundschell et al., 2022). That said, there is little research that documents the planning,implementation, and evaluation of DEI principles in research networks.In 2021, the National Science Foundation
courses. The modules were developedwith the support of an instructional designer from our institution’s University Center forAssessment, Teaching, and Technology. We used a “backward design” approach with threegeneral steps: identify the desired results of the modules (i.e., what will students be able to doafter engaging with the module), determine acceptable evidence (i.e., how can we assess studentunderstanding), and plan learning activities (i.e., plan the activities students will engage in in themodules) [8]. Using this approach, we focused on defining student learning outcomes for eachmodule before choosing the content and assessments in each module.We also used guidance from the instructional designer to make our content suitable for
career goal is to do lab employment: Students’ Engineer.” research.” career plans Competencies and “Combined with the strong set knowledge: Identify “I designed a project with of communication and competencies and knowledge another intern, which helped me leadership skills I have built, I gained related to career learn team work skills.” know I will be successful in preparation getting a Ph.D. position.” Personal and professional
this, we examine methods for promoting an individual team member’s skilldevelopment, confidence, and goal attainment while contributing positively to their team’scohesion and product. We include three data sources: timely surveys of students’ goals, progresstowards those goals, and how they align with their perceived contributions to the team; teamchecklists and manufacturing plans updated in real time to include specific tasks, ownership,status, and any assistance required; and students’ reflective documentation of shared knowledge,skills, and mental models. These data are complemented by peer assessments occurring at majorproject milestones [11]. Combined, these instruments are used to track student and team growthin the context of team
slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight- Detective method with a plan worksheet for Dataying.IntroductionThe expected growth of data science careers worldwide over the next ten years means thatstudents of all ages
Science and Engineering Society (AISES), and local and national funding agencies such as NSF, the Department of Homeland Security (DHS), and others.Objective #4: Plan, implement, assess, and scale the Implementation Project. This fourth objective focuses on each Fellow developing a plan for an Implementation Project that they propose to their own leadership and subsequently launch at their own institution. Examples of these projects include Summer Bridge, Living Learning Communities, mentoring programs, tutoring programs, and transfer pathways of community college students to 4-year programs and undergraduates to graduate school. While these types of programs are not new, the goal has always been for Fellows to scale up their
to answer important questions such as: “Why is thesuccess rate of transfer students low?” and “Why do some transfer students persist to graduation,whereas many others do not?” According to the literature, transfer students fall into two categoriesthat need different kinds of guidance to succeed in a new institution [11], [12]. The first categoryof transfer students includes those who pre-plan the transfer before getting admission into a com-munity college [13], [14], [15], [16]. This category often includes students who choose to takegeneral education courses or earn an associate degree at a community college before transferringto a 4-year institution (often because of the lower cost of tuition). The second category includesstudents who do
them with the training, support, and resources they need toincorporate technology effectively into their lesson plans. One key benefit of empoweringteachers with technological tools is that it can help level the playing field regardingeducational access.Technology can provide new opportunities for students who may need access to specificresources or information. It facilitates students to attend online lectures/webinars and otherlearning resources from any experts (national/international), thus providing learning beyondboundaries. Another benefit is that technology can make learning more engaging andinteractive for students since they are digital natives [Otto and Strimel, 2022]. The effectiveuse of technological tools helps them to stay
inconsultation with their tech demo committee. The tech demo committee was a consistent groupof 4-5 faculty who established requirements for the tech demo and evaluated the team’sperformance during the technical demonstration. The first tech demo helps ensure that studentsorder parts and start assembly (of at least the critical sub-components) of the end product. Onepractical benefit is that delays from out-of-stock parts, inappropriate designs and flawedprocesses are addressed earlier, and thus less likely to delay the project. In addition, new andreplacement parts with long shipping times can often be ordered over winter break, improvingoverall time management. The tech demo emphasizes to students that planning out a design onpaper, and implementing
from the perspective the mentees, roughly thesame objectives apply from the perspective of the mentors, which we discuss further inAssessment.Design approach: assessmentThe assessment segment of backward integrated design is typically a major focal point for coursedesign because assessment of student learning in classrooms is often a high stakes endeavor anddifferentially impacts students, such as affecting grades and therefore financial aid andpersistence in degree programs. In professional development program assessment, however,participants’ outcomes are not “graded,” and our assessment is used primarily for internalimprovement and contributing to the body of research in the program area. Thus, we created anassessment plan that can convey
Engineering Division (SWED)Key Words: Software Engineering, Agile Software Development, User documentation, ActiveLearning, Real-world project, Technical Communication.Introduction“Complexity kills,” Microsoft executive Ray Ozzie famously wrote in a 2005 internal memo [1].“It sucks the life out of developers; it makes products difficult to plan, build, and test; it introducessecurity challenges; and it causes user and administrator frustration.” If Ozzie thought things werecomplicated back then, one might wonder what he would make of the complexity softwaredevelopers face today with software users that expect flexibility from software in many the areas offeatures, connectivity options, high performance, multiple platforms, including the Internet
team-based work structures, perfor- mance management, quality management, research methodology, and engineering education.Mr. Francisco Cima, Old Dominion University Francisco Cima is a PhD student of Engineering Management and Systems Engineering at Old Dominion University. He obtained his Masters in Business Planning and Regional Development from the Techno- logical Institute of Merida. His areas of interest are innovDr. Krishnanand Kaipa, Old Dominion University Dr. Krishnanand Kaipa is an Assistant Professor and director of the Collaborative Robotics and Adaptive Machines (CRAM) Laboratory in the Department of Mechanical and Aerospace Engineering at the Old Dominion University. Dr. Kaipa received his BE (Hons
Laura I. Spears, PhD, University of FloridaAbstractPrior to embarking on a major renovation of the University of Florida’s (UF) science andengineering library in 2022, the library asked their patrons, including engineering students, whatthey wanted in an academic library space. How do engineering students use their academiclibrary and what do they envision as an ideal space? The library teamed with the Department ofInterior Design in the UF College of Design, Construction and Planning to collaborate on a studyof the top two floors of the library that were slated for renovation. The goal was to develop floorplans that facilitate innovative research, creative thinking and problem-solving. The studymethodology included an observational study
statements were given, these were primarily focused on the broaderimplications given by proposals. These included impacts to specific communities or populations,systemic changes, and broad changes to the field of engineering. Most mentions of broaderimpacts were highlighted positively, as 85.8% of MO1 codes were positive comments. Oneparticipant shares their evaluation on a proposal’s broad impacts: Furthermore, the research planned in the proposal begins to help individuals understand hidden curricula mechanisms via mentoring, social support programs, and reflective/culturally relevant academic and social integration models in engineering.As shown by this quote, positive impacts of broader impacts are often highlighted, but
in Ireland. It then explains why research is needed to move the adoption of BIMforward and how student research can support implementation of BIM in industry. It proceeds todescribe TU Dublin’s stepped and scaffolded approach for supporting student researchers, andthen propose a plan for a study that will systematically map, critically analyze, andsystematically review the results of BIM-related research generated at TU Dublin since 2020.The paper concludes with implications for future research.Strategies for National Implementation of BIMBIM signifies a digital representation of the physical and functional characteristics of a building– using both graphic and textual data – to help plan, design, construct, and manage buildings
the idea, not the person (for example, "I don't think that idea will work because…" not "That's stupid"). • No "cross talking" is allowed. This means not interrupting when someone else is talking.The instructors will also provide the scope of the items and talking points for discussion in eachmeeting to the cornerstone and capstone teams.2. Assessment ToolsVarious assessment tools are planned to assess the research questions and to help improve theimplementation of the peer mentorship model for future semesters. Specifically, a pre and post-activity survey was designed, and some of the questions are listed in the Appendix for both thefirst-year design and senior design cohorts. The questions (in Appendix B and C) were designedbased on
which 39.4% were awarded to URMs and 35% to women.Over a six-year period, N.C. A&T has awarded a total of 314 doctoral degrees, including 204doctoral degrees in STEM, 134 to women, and 139 to URMs. Building on past strategicsuccesses, the University’s current strategic plan—A&T Preeminence 2023: Taking theMomentum to 2023—sets several goals relevant to developing competitive graduate studenttraining programs. Of note are Goal 3, “Position the university to be a national, premier research-intensive, doctoral, science and technology-focused learning institution,” and Goal 5, “Foster amore diverse and inclusive campus community by promoting cultural awareness and collegiality,and by cultivating respect for diverse people and cultures.” To
economy. However, this industryfaces a significant challenge due to the high cost of building, workers' low productivity, and lackof innovations [1]. One of the main strategies to enhance the performance of the construction isthe use of digital technologies, such as Building Information Modeling. This technology enablessimultaneous site planning and building element production, which can reduce project deliverytime by 30% to 50% [2]. Nonetheless, many AEC firms have found it difficult to use this tooldue to cultural resistance and implementation costs [3]. Therefore, given the advantages ofdigitalization, there is a need to uncover solutions to break the boundaries of employing BIM inbuilding design projects and construction sites.For educators
college/unit within UD,allowing us to bring together small groups of chairs for facilitated discussion and the sharing ofexperiences. We also address the role of deans in securing institutional commitment for theproject, as well as initial evaluation results and plans for long-term evaluation. Finally, wehighlight follow-up efforts to develop and disseminate new resources on fostering inclusivedepartment climates, including a written guide that builds off strategies that emerged duringworkshop discussion, encouraging department chairs to learn from the experiences of colleaguesacross the university.I. IntroductionIn recent years, many institutions of higher education have implemented strategies to recruit andretain faculty from underrepresented
used in different fields. Hence, without proper documentationand management of such projects, achieving overall objectives can be underpinned.To aid the successful management of complex or multi-departmental projects in fields outsidethe university, various social management frameworks and program management tools havebeen developed, employed, and reported. Aside from promoting teamwork andcommunication, smoothing decision-making and problem-solving, and enabling transparencyand accountability, PM management processes and tools are strongly related to projectsuccess [2],[3]. These tools are designed to support the successful execution of projects byproviding a range of features and functionalities that help plan, organize, and control
Paper ID #39420Preparing Students to Solve Challenges Related to a Changing ClimateDr. Mujde Erten-Unal, Old Dominion University Mujde Erten-Unal is an Associate Professor of Civil and Environmental Engineering Department and director of Sustainable Development Institute at Old Dominion university. She has a Master of Engi- neering in Environmental & Planning Engineering, and a Ph.D. in Civil Engineering from the Science and Technology University of Missouri-Rolla. She has worked in industry as a project engineer before joining ODU. Her research interests include adaptive design to climate change and sea level rise
strategies for instructional teams. This paper will present a developing conceptualframework that guides these activities, describe each component, present preliminary findings,and discuss potential next steps.Literature ReviewFactors that influence academic successIndividual learning consists of cognitive, metacognitive, and affective components [1] and is asocially-embedded process [2]. Cognitive learning refers to acquiring knowledge at increasinglevels of complexity, as in Bloom’s Taxonomy [3], and is measured through course assessments(e.g., exams). Metacognition refers to awareness and self-assessment of one’s own thinking andabilities [3], and regulation refers to the ability to plan and adjust behaviors accordingly based onthat knowledge [4
covered by the team project or by individual assignments.Common themes emerged, and are summarized in Table 1. Since these topics are mostfrequently covered, capstone instructors must generally feel that they are important. The topicsthemselves are not TCs, but they are a promising set of topics within which to look for TCs.Communication, elements of design process (planning/scheduling, concept generation, anddecision making), and teamwork emerged as common themes. Communication is a topic thatmany students struggle with, and good communication enables success in nearly all other aspectsof capstone design. It was identified by Capstone-to-Work researchers ([5], [6]) as a topic thatstudents struggle with at work and one where they rely on their