study presented here is that only limited anecdotal evidence was collected tomeasure the success of the virtual labs. We plan to collect additional evidence in the future. Ourgoal is to understand if the virtual labs help students to connect the underlying concepts to theirreal-life actualization. To create a meaningful assessment, we are looking for collaborators whocan impartially evaluate the impact of the materials on student outcomes.Considerations for Designing Virtual LabsThe dynamic model complexity and visual fidelity are two essential considerations for designinga lab. We used the discipline as a primary selection guide for the visual fidelity. In the circuitslabs, less focus was placed on the visual model, because basic electrical
consideration of coastalchanges may lead to an increase in coastal erosion over time, causing damage to the city in thelong term. Conversely, through careful planning, the player can limit the impacts of climatechange while developing areas of the city. Historical coastal data, combined with environmentalmodels of coastal change and weather, will be integrated as part of the game’s simulation andmechanics. SimCoast seeks to help the public, as well as policymakers, develop a richerunderstanding of how coasts have changed in the past, and are likely to change in the future.Through game-based engagement, our work will help members of the community understand thetradeoffs inherent in policy decisions.In addition to helping to educate the public about
these studies aredone on specific course topics or topic areas and not overall program content [5, 6, 7, 8, 9]. [10] StudiedConstruction Management Programs’ curricula in 2011.Two of the most commonly offered construction programsare Construction Management (CM) and Construction Engineering (ConE). While "engineering" and "management"are supposedly two distinct streams of education, the distinction between ConE and CM becomes blurred in real-lifesituations. For example, the word "Engineering" is defined as "using scientific principles to design and buildmachines, structures, and other things, including bridges, roads, vehicles, and buildings" [11]. However,Construction Engineers commonly plan, coordinate, budget, and supervise construction
provided over five years thatprepared scholars to secure academic positions and successfully engage in the research, teaching,and service requirements of early career faculty positions (activity labeled “Career Planning andPursuit” in Figure 2 in the Activities column), this activity is vitally interconnected with othercomplementary activities of the model. Figure 3 illustrates these complementary activities alongwith examples of connected events. Figure 3. Alliance model activities complementary to job search and preparation supportRecruitment and Needs AssessmentThe AGEP alliance originally recruited twelve dissertators across the four participatingcampuses from different engineering and science disciplines who were Ph.D. students
informal discussion to develop a plan for addressing each ofthe invested parties' concerns. After completing the discussion, students were asked to share theirimpressions of the experience.Outcomes of first offeringStudent Case Study PresentationThree students completed the course; two senior mechanical engineering majors and one juniorelectrical engineering major. The students worked individually to develop background material,then collaboratively presented their proposed solutions and engaged in discussion from theperspectives of their assigned roles. Students effectively gathered factual information fromprimary sources and used calculations developed in class to support their positions. They eachdemonstrated effective use of skills and
Research, 1979) and the development of more recentethical norms, this research project has been reviewed and processed by the author’s institutionalreview board (IRB). The author’s plan for this research is to utilize a mixed methods surveyapproach. Survey research has a long history in the realm of human subject research and has arelatively mature methodology associated with it (see, e.g., Sapsford, 2007). Mixed methods research involves both qualitative and quantitative data collection andanalysis (Creswell & Plano Clark, 2018). The use of quantitative data analysis in engineeringwork is long and uncontroversial given engineering’s historical commitment to philosophicalprinciples of post-positivism. More noteworthy is the use of
whether students will continue to read andtake notes in future classes, either through intrinsic motivations (they see the value) or extrinsicmotivations (they wouldn’t mind other instructors having similar assignments). Figure 2 showsstudent agreement with positive statements toward their plans for future reading and note taking.Over 80% of students (score of 3.19) plan to take notes from the reading based on their own © American Society for Engineering Education, 2023intrinsic motivation. This is a huge improvement over instructor expectations from moststudents. Students are only slightly less enthusiastic (score of 3.11) about other instructors usingStudent Note assignments. a) Plans (n =204) b
liud@pfw.eduABSTRACTABET CAC (Computing Accreditation Commission) is in the semi-final stage of approving program criteria for Data Science withinComputing programs for the first-time. Pilot CAC Data Science accreditation is being planned for the upcoming 2021-2022 accreditationcycle. In the meantime, ABET ANSAC (Applied and Natural Science Accreditation Commission) is also working with AmericanStatistical Association in initiating the Data Science accreditation within Applied and Natural Science programs. This paper describes theABET General and proposed or potential Data Science Specific Student Outcomes and Curriculum criteria within both ComputingPrograms and Applied and Natural Science Programs. Based on these criteria, we reviewed our
. Her research interests include learning analytics, experiential learning, and equitable grading and assessment. © American Society for Engineering Education, 2022 Powered by www.slayte.comWork-in-Progress: Understanding learners’ motivation through machine learning analysis on reflection writingAbstractEducational data mining (EDM) is an emerging interdisciplinary field that utilizes a machinelearning (ML) algorithm to collect and analyze educational data, aiming to better predict students'performance and retention. In this work-in-progress paper, we plan to report our methodology andpreliminary results from utilizing an ML program to assess students’ motivation
the outcome-based educational framework. She has also incorporated the Content, Assessment, Pedagogy (CAP) model to the development and redesign of courses, laboratories, and educational experiences implemented successfully in the course offerings at UPRM. Another research area includes the incorporation of Responsible well-being in faculty and students (undergraduate and graduate). Through an innovative research-based assessment plan, they determined the levels of moral development achieved by participants. In the past two years, Santiago has incorporated theories on social cognitive career choices and student attrition mitigation to investigate the effectiveness of institutional interventions in increasing the
, sometimes hard,questions that pushed our thinking. The team has strengths in both quantitative and qualitativeapproaches which was important to the focus of our study. We also wanted a team that was goingto nudge us when needed and who we could rely on doing the work in a timely and efficientmanner.Working with the evaluators in this context is similar to the ways we work with external evaluatorson grants or contracts. We defined the focus. Together we developed the study plan and contract.We processed the contract as a “work for hire” contract with procurement with payments due afterconcrete deliverables. The final payment due after the final report is submitted and accepted.Because this was a formative evaluation, we were integrally involved in
, and environmentnecessary for their manufacture;(c) manufacturing competitiveness: creation of competitive advantage throughmanufacturing planning, strategy, quality, and control;(d) manufacturing systems design: analyze, synthesize, and control manufacturingoperations using statistical methods; and(e) manufacturing laboratory or facility experience: measurement of manufacturingprocess variables and development of technical inferences about the process.The concept of the four pillars encompasses: 1) Materials and manufacturing processes;2) Product, tooling, and assembly engineering; 3) Manufacturing systems and operations;and 4) Manufacturing competitiveness. So, one can see the parallel between the ABETaccreditation standards and the concepts
and skills to gain a holistic understanding of the coursecontent [5]. However, more educators are now emphasizing the need for inclusive teachingtraining for UGTAs in STEM [7-12]. As UGTAs are often the first points of reference forstudents, their professional development is necessary to provide undergraduate students with anequitable learning experience. We set out to formalize inclusive teaching training for UGTAs byproviding foundational knowledge of global inclusion, diversity, belonging, equity, and access(GIDBEA).To this effort, we are piloting a three-year, scaffolded training plan to develop UGTAs’ inclusiveleadership skills. We seek to train UGTAs to recognize and confront bias among individuals andwithin teams, develop an
-generation status, current undergraduate institution, major, GPA, email, citizenship, current class standing, and race/ethnicity. Additional information collected included plans after graduation and the names of two recommendation letter writers. For the first year of the program, the
were placed in rooms with a laptop computer connectedto a teleconference meeting that linked them to their provider, some with and some without atelehealth peripheral. Student providers were given 25 minutes to perform a brief history andphysical-type assessment, as well as formulate a diagnosis and plan. The scenario ended whenthe student provider thanked the student patient for the visit. During the visit, students were video-taped, with permission, for later viewing by thecourse instructor and to enable the use of face recognition software. After each SBE session,students were given information about the study by the Principle Investigator (PI) and studentswho chose to be part of the research study were sent an anonymous QualtricsXM
combined with Andriessen’s [4] dual purpose of DBR model, asillustrated in Figure 1. The focus of the program design is progressive refinement through theproblem statement; defining the design and learning objectives; planning (project management)of the curricular design, development of the curricular ideation and selection of a design forinitial implementation; and ultimately a continuously reformed model with a curricular modelimprovement process. The focus of the research design is to establish the research questions;identify the learning theories applicable to the research work; design of the research work thatinfluences the curricular implementation and improvement; and ultimately to disseminate what islearned and add to the body of knowledge
knowledge sharing to facilitate achieving profoundchange in undergraduate education. They are to achieve this by understanding and enactingtenets of anti-racism and decolonization through the four recurring stages of Participatory ActionLearning and Action Research (PALAR), plan-act-observe-reflect.This paper assesses the lessons learned from an active community engagement project fromthe initial stages of grant development to the first year of a four-year government-funded grantfrom a faculty member and two students' perspectives. The lessons learned include investingtime at the beginning of each phase to outline roles and responsibilities and make spacefor all voices.Project SummaryBy design, this project is centered on the students involved
-quality engineers becomes an essential andfundamental prerequisite to support the national strategies, for which the NEE initiative leads toresearch and practice in developing plans for new engineering development in the future and inexploring more student-centered training mode [1]. Preparing enough high-quality engineering graduates requires insight and input from allrelevant stakeholders, to name a few, involving Chinese government (especially the Ministry ofEducation (MOE)), higher education institutions and their administrators, faculty, and staff,industry (including corporations and industry associations) both in China and globally, researchinstitutions, and finally undergraduate and prospective students (especially engineering
) program. Pilot teachers (n = 10) participated in focusgroups to share their perceptions of readiness to implement the blended e4usa+FIRST curriculum. Datawas analyzed using open coding and constant comparison methods. Most teachers reported confidence inteaching the blended offering, shared their plans and expectations, and brought up concerns regarding timeand sustaining student interest especially during a time of pandemic. This project has implications for pre-college engineering education efforts as it could provide a foundational understanding of how twosuccessful programs can be blended, playing a critical role in educating high school students in underservedcommunities to experience engineering.IntroductionPre-college engineering education
University of Maryland, further equipping her with knowledge of organizational theory and behavior, strategic planning and implementation, and process and outcome evaluation. Her creative problem-solving approach to association challenges, strong leadership and communication skills, and commitment to constant growth and improvement will be an asset to ITEEA. Prior to joining the association world, Kelly completed her bachelor’s degree in architectural engineering and practiced as a structural engineer for 5 years. Kelly is licensed as a Professional Engineer (P.E.) and actively pursues professional development opportunities through organizations such as the American Society of Association Executives (ASAE) and Toastmasters
the camp’s schedule.The MTI camp was initially designed to include junior and senior-level secondary students froma chosen set of county K-12 school systems. Participants were to be recommended by teachersand counselors in these school systems, and recruitment had begun in earnest in the late fall of2019, along with planning for housing and enrichment activities such as science demonstrationsduring the camp. However, after the cancellation of the camp in the summer of 2020 and shifts tovirtual learning in the spring of 2020 due to COVID-19 restrictions that continued into the fall of2020, a different approach to the recruitment of participants for the camp was attempted. In anattempt to streamline the process of student recruitment and
significant undertaking that requires properplanning and commitment. The planning phase is crucial in defining the scope of the work andsecuring the necessary resources for the project. During this phase, I used the followingquestions to guide my thought process. • Why is this open textbook project important? • What features are essential and are of pedagogical significance? • What resources are required for this project in terms of time commitment, funding, and team support? • What open platforms will be used to host the book? • How to maintain the book in the post-publication stage?As of 2019-2020, there were limited OER on thermodynamics [8-10] and on relevantengineering subjects in general. The proposed open textbook aims to
the course LMS, meet with the instructor to discuss the approach to the course, student discuss the approach to the course, student challenges and issues and plan for observed lessons. challenges and issues and plan for observed lessons. Section B: Flipped Classroom Observation Section B: Classroom Observation Tool Tool This tool includes observation items in areas This tool includes observation items in eight major areas: Lesson Organization, Content related to instructor-student interactions and Knowledge & Relevance
dispositional changes in STEM self-efficacy and identity.Students completed surveys and reflections at multiple points throughout their internship,including a retrospective pre/post survey capturing dispositional shifts during the experience.The results of the internship experience on student intern participants educational andprofessional plans at the 3 sites are evaluated in this paper. Results show significant gains onitems related to professional discernment (desire to work in a STEM field, use technical skills,on open ended problems for the betterment of society) for participants at all sites. Additionally,there are differences by gender.OverviewBeginning in 2015, the College of Engineering researchers and staff at UNIVERSITYdeveloped, piloted
important.The interview protocol was designed to correspond with Experiential Learning Theory’s (ELT)learning cycle (A. Y. Kolb & Kolb, 2009; D. A. Kolb, 1984). The learning cycle is composed offour parts: concrete experience, reflective observation, abstract conceptualization, and activeexperimentation. During the cycle an individual experiences an event (concrete experience),reflects on said experience (reflective observation), congeals said reflections into abstractconcepts (abstract conceptualization), and plans on using the concepts in future situations (activeexperimentation). The theory was selected to frame how/if students are learning professionalskills experientially through their participation in engineering project teams. Since project
follows: the next section presents an overview of the powerengineering curriculum redesign and motivations behind it; section III describes the situativepedagogy strategies that have been implemented; section IV presents the evaluation tools used toassess the effectiveness of the curriculum redesign; section V then presents and compares selectresults from the control and the test groups; finally, the paper concludes in section VI with asummary and a discussion on ongoing work and future plans. II. Power Engineering Curriculum Redesign Most courses in electric power engineering have remained unaltered in decades and are failingto deliver relevant information with respect to current energy needs and industry practice [1]-[7].Traditionally
canaddress them. In this stage, research scientists can collaborate with applied scientists,economists, and data scientists depending on the action that is being taken in the productexperience. In all cases there is engineering work required to make the desired changes, integratethe product with additional features, or setup the infrastructure to pilot new experiences.These product innovations are accompanied by an evaluation plan to measure the causal effect ofthe changes or new features on the outcomes of interest. The goal of the evaluation plan istypically to determine if the customer problem has been solved, which is often the definition ofsuccess. Economists and data scientists typically lead the causal inference part of the scienceworkflow.It
. Contemplation: People recognize the need for change and consider the reasons why, but they are not making changes. 3. Preparation: People take small steps to move toward change, which could include but are not limited to activities like (a) attending a learning session about change opportunities or (b) developing skills that could help with change. 4. Action: People actively engage in change. 5. Maintenance: People put in effort to maintain the changes that they have made. 6. Relapse: Inevitably, some people revert to their old ways and must relearn or re-engage with change efforts.With the expectation that the project starts with department members atdifferent stages of readiness for change, we plan to
critical. Aiming at the issue of cultivating the scientific researchliteracy of college students, the Massachusetts Institute of Technology proposed the“Undergraduate Research Opportunities Program” in 1969 first. To address the uncreative ofundergraduates, the “Berkeley University Model” divides the undergraduate scientificresearch training program into two parts, including “The Undergraduate Research ApprenticeProgram” established by the university and proposing a project plan by the studentsthemselves. There are two main modes of knowledge application in engineering education;one is a mode based on academic research training; the other is a problem-solving-oriented,interdisciplinary research mode [1]. Project-Based Learning (PBL) is a mode of
efficacy of each session. Thesurveys serve as a method to collect feedback on topics that participants would like to seeaddressed in future sessions, and we use the response to make improvements to future sessions.In addition to the session feedback surveys, we have implemented an engagement survey, asocial network survey, and semi-structured interviews that will be reported on in future work.Although not in our initial plans, we used participant feedback to develop asynchronous contentdelivery via a series of short, downloadable information sheets on a variety of topics related tonavigating proposal and grant management processes and the ASEE conference. Called Practicesin Engineering Education Research (PEER) Guides, these short documents