faculty with astrong interest in promoting student success in all aspects of program planning and execution; 2)the design of activities that provide an encouraging peer group, as well as the level of supportthat students might need because of lack of confidence and/or unfamiliarity with a universityenvironment, while setting clear goals and high performance expectations. At our campus, theINSET program has been the inspiration for the creation of other CC-university partnerships. Weanticipate that INSET might also serve as a successful model for other institutions, who want toencourage and support the advancement of CC students in STEM fields as they transfer to 4-yearinstitutions.INSET Program Design and ActivitiesEntering its twelfth year
process plan and process knowledge in machining and robotics operations. (3) A comprehensive assessment and evaluation plan will be presented, contemplating several quantitative and qualitative measurements used as feeders for necessary Page 24.421.3 calibration and adjustment of the different components of the project. Evaluation of this 1 project is guided by five foundational evaluation questions, designed to focus data collection and analysis on a) the project’s stated objectives and outcomes, b) broader
on ways to connect hands-on experiential components with distance learning opportu- nities for future water and waste water treatment operators.Dr. Andrew N.S. Ernest, Western Kentucky UniversityMr. Joseph Lee Gutenson, University of Alabama Mr. Gutenson is currently pursuing his master’s and Ph.D. in Civil/Environmental Engineering at the University of Alabama. His research interests include water resource planning and security, computer in- formation systems, and environmental sustainability. He has worked on a variety of water-related projects including several funded by the National Science Foundation, U.S. Environmental Protection Agency, and the National Institute for Hometown Security
interactive digital environment in which users try to solve fundamentalproblems in the domain of construction planning and scheduling presented in realistic scenariosthrough guided active explorations. Figure 1 shows a snapshot of the game. The scenario-basedproblems facilitate sense-making and engage students in understanding, analyzing, and solvingopen-ended problems in that field. During the active explorations to solve these fundamentalproblems, the users are exposed to fundamental engineering problems and try to discoversystematic solutions to solve them. The game and the proposed gamified pedagogy are designedbased on the Constructivism learning theory and a framework that consists of six essentialelements: (1) modeling; (2) reflection; (3
in2YCs [1]. The "Capacity Building Workshops for Competitive S-STEM Proposals from Two-Year Colleges in the Western U.S." goal has been to support preparation and submission ofproposals to the NSF S-STEM program from two-year colleges (2YCs).The workshop has been offered during the summers of 2019 (in person), 2020 and 2021 (virtual)and focused on several aspects of proposal preparation, including addressing the NSF MeritReview Criteria, developing, and justifying proposed budgets, incorporating appropriate andmeaningful evidence-based strategies, and evaluation and dissemination plans. A completedescription and evaluation analysis of this project is currently being submitted for publication[2]. The workshop facilitators who were carefully
engineering faculty from AGEP populations at CMU,JHU, and NYU. The goal of this NSF AGEP Faculty Career Pathways Alliance Model (FCPAM)is to develop, implement, self-study, and institutionalize a career pathway model that can beadapted for use at other similar institutions for advancing early career engineering faculty whoare: African Americans, Hispanic Americans, American Indians, Alaska Natives, NativeHawaiians, and Native Pacific Islanders.3. Project Descriptiona. Participating Institutions In 2017, after the College of Engineering at Carnegie Mellon University (CMU) lostsome of its URM1 faculty, the college developed its first diversity strategic plan. Theimplementation of this plan strengthened existing partnerships with engineering
solutions.The entry courses along with the collaborative courses build a learning sequence that leads to a minordegree in design and innovation. While minor degrees are not novel, it was found that the programminghad to be linked to something of recognizable/tangible value to students. Through student and advisorinterviews, it was found that advising programs are automated to direct students toward “checking boxes”for a plan of study without consideration of the nuances of different types of learning opportunities. Themain goal of pursuing higher education for students is to essentially receive credentials that have value forfuture careers. So, it is important to understand the degree planning systems and use them to enablestudents to get more out of
Summer 2021 program in an online or hybrid environment, we will summarizelessons learned from the 2020 experience.Cohort 1 Student OutcomesEighteen rising sophomores participated in the first cohort of the Engineering Fast-ForwardProgram in 2017. All eighteen students have been retained in a STEM degree program (100%STEM retention). Fifteen of the eighteen graduated in Spring 2017, fourteen with undergraduateengineering degrees and one with a mathematics degree (83% 4-yr graduation). The threeremaining Cohort 1 students are on-track to complete their degrees during the next year, two inengineering and one in biology. Both engineering majors have intentionally chosen a five-yeardegree plan to enrich their education: one is in the process of
competencies and interest, 3)future plans, and 4) camp satisfaction. Listed in Table 2, these subscales were either developedby the research team to detect specific constructs (e.g., confidence describing industries), oradopted for use because they had prior evidence of validity and reliability (e.g., STEMSemantics Survey). All subscales were tested and found to be reliable and sufficient to cover theconstructs under study. This instrument was administered to all cadets prior to and uponcompletion of their JROTC camp experience (Academy or JCLC camp) as well as at the end oftheir spring semester of their senior year of high school. The instrument also includes open-ended response questions to help better understand the student experience in his/her
-programBridgeValley Community and Technical College, Master Plan, Focusing on the Vision 2015-2020. http://www.bridgevalley.edu/2015-2020-strategic-planS-STEM Grant Research Study (2012), S-STEM Student data collection (2013-present) byBridgeValley Community and Technical College / M. Thompson.
Planning Monitoring Controlling Evaluating Figure 1: Conceptual Framework of Metacognition (reference removed for blind review)General Assessment of MetacognitionSimply put, metacognition is difficult to measure or assess though not for lack of appropriatetheory. Metacognition is studied directly as described by Veenman, Van Hout-Wolters, andAfflerbach (2006) or as a component of other frameworks such as self-regulated learning (Winne& Perry 2005), self-directed learning (Van Hout-Wolters 2000), and strategic learning(Weinstein, Husman, & Dierking 2005). Our brief review of current methods is informed by
strives to provide a clear “roadmap” to STEM degree attainment[10], [11], [12], [13]. Scholarship recipients will develop degree plans early in their academictrajectory and will meet quarterly with a dedicated STEM academic advisor to monitor andevaluate their progress towards the Associate in Science Transfer (AS-T) degree. Many WCCSTEM students intend to transfer to a nearby regional university, and the two institutions willpartner to provide a comprehensive transfer navigation strategy [14] and optional researchopportunities [15]. Table 1. Summary of Relevant CCSE Survey Report Data. Difference from comparison groups (2017
the REU Site was conducted by the Social and Behavioral Sciences ResearchConsortium (SBSRC) at UNL. The evaluation plan included surveys conducted with thestudents before and after their time in the program and focus group sessions conducted with thestudents and interviews with their faculty mentors. The evaluation plan also includes follow-upsurveys with the participating undergraduate students one year after their completion of theprogram. Since this is the first year of this program, this data has not yet been collected. Thequantitative data collection (pretest, posttest) was conducted by the UNL Office of GraduateStudies and the results were sent to the SBSRC for analysis and reporting. The qualitative datacollection (i.e., interviews and
over graduate school. Thepaper provides an in-depth discussion on the findings of the REU program evaluation and itsimpact on undergraduate students with respect to their future plans and career choice. The analysisis also done by gender, ethnicity, academic level (sophomore, junior, senior), and type of homeinstitution (e.g., large research universities, rural and small schools) to explore if there was anysignificant difference in mean research competency scores based on these attributes. 1. IntroductionToday’s manufacturing operations are more complex and globally scalable compared to those inthe last century (Lee et al., 2016). This complexity in manufacturing operations is due to a shift inmanufacturing from craftsmanship model in the
andcommunities; (2) peer cohorts, providing social support structure for students and enhancingtheir sense of belonging in engineering and computer science classrooms and beyond; and (3)professional development from faculty who have been trained in difference-education theory, sothat they can support students with varying levels of understanding of the antecedents of collegesuccess. To ensure success of these interventions, the CAPS program places great emphasis ondeveloping culturally responsive advisement methods and training faculty mentors to facilitatecreating a culture of culturally adaptive advising. More details of CAPS interventions can befound in [4].CAPS program is a 5-year project that started fall 2018. The program planned to support
mathematics learning community anchored by the UTA Student Chapter of the MAA (Mathematical Association of America), on which we have built strong support programs to ensure academic success and professional development for our SURGE scholars. • An institutional initiative to improve undergraduate retention and graduation rates, which overlaps well with the SURGE program in goals and plans. • A vibrant regional economy that provides ample opportunities to place our SURGE scholars in internships and permanent jobs. Many of our SURGE alumni work at major corporations in the region. They are great assets to our SURGE scholars for career mentoring and job placement.The MAA Student Chapter in the UTA
Paper ID #21334A Conceptual Model for Engineering Major ChoiceDr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Xinrui (Rose) Xu, Purdue University, West Lafayette (College of Engineering) Xinrui (Rose) Xu is a doctoral student in the School of Engineering Education at Purdue University. She also serves as a career consultant
2001, Dr. desJardins c American Society for Engineering Education, 2017 Paper ID #19949 was a senior computer scientist at SRI International in Menlo Park, California. Her research is in arti- ficial intelligence, focusing on the areas of machine learning, multi-agent systems, planning, interactive AI techniques, information management, reasoning with uncertainty, and decision theory. She has men- tored 12 Ph.D. students, 27 M.S. students, and 90 undergraduate researchers. She is also active in the CS education community, chairs the Maryland Steering Committee for Computer Science Education, and
the perspectives of different stakeholders for an engineering design, product orprocess and to explore the privilege associated with different stakeholders. The assignment wasfirst implemented for civil engineering students in a civil engineering materials course studyingsustainability and the Envision sustainability rating system [3]. The assignment considered alarge regional highway reconfiguration that has been in planning and design phases for nearly 20years and recently broke ground. The project has severe impacts on a community of low socio-economic status whose residents are predominantly people of color. Students read a variety ofregional news sources and discussed the project in small groups and as a larger class. Initialresponses
plans (IEPs), assist these children with activities of daily living (ADLs), increase the effectiveness of educational activities, aid in the delivery and effectiveness of physical, social, and cognitive therapies, track children and paraeducators (paras) within their daily environments with a goal to optimize facility use, care-delivery processes, and the impact of human resources, and increase the well-being of parents, paras, clinicians, administrators, and others that work with these children.Because each child with ASD is very different and may exhibit multiple areas of disability,finding commercial solutions that meet their needs can be difficult or even impossible. On theother hand, the natural
implementation of class projects and how to betterintegrate project-based learning and inquiry-based learning into a tight teaching schedule. Basedon the assessment results and student recommendation, a plan has been devised to adjust thecurrent teaching strategy and improve the effectiveness of online CPBL.IntroductionIn Fall 2010, California State University Los Angeles received a CCLI grant from NSF toexplore a good solution to incorporate collaborative project-based and inquiry-based learning inundergraduate computer networking curriculum. The project goals include: 1) Establish a cyber-infrastructure to enable remote learning which significantly improves the learning efficiency ofstudents on a commuter campus; 2) Foster students’ hands-on design
models) should be used to guide development of the ASSESS database interface? 8. What instrument user feedback should be supported in the system?The consultants provided input to the project team in the form of recommendations resultingfrom their on-campus meeting and multiple follow-up communications that provided feedbackon work of the project team. They reviewed plans for ASSESS database development, reviewedprototype website configurations, and provided reviews of evaluation instruments suitable for theASSESS database.The project team allocates project work to three work groups, as shown in Table 1, addressingthe principal components of the ASSESS system. The engineering work group plans, designs,prototypes, and tests the database and
, 2024 Novel Approach Designing Interview Protocols with Generative Large Language Models to Study Mental Models and Engineering DesignAbstractThis paper describes the use of AI to support the initial development of an interview protocoldesigned to elicit engineering students’ mental models of socio-ecological-technological systems(SETs) and how these models influence their design decisions. The protocol was created for astudy that addresses the need to prepare engineering students to design sustainable solutionssuitable for a world afflicted by climate change. Three frameworks informed the creation of theprotocol: (1) mental models theory, (2) theory of planned behavior, and (3) social-ecological
: They must decide which goals to prioritize because they simply do nothave the working memory to accomplish everything at once. In an assessment context, writingnatural language and codes are potentially even more similar: both are done in response to aprompt that sets out expectations for the text to be produced, are evaluated according to specificcriteria and, if the required text is sufficiently complex, students are likely to create plans forproduction that they then execute. Drawing from research on keystroke log analysis of naturallanguage writing, we ask the research question: how do task complexity and characteristics relateto student programming process and performance? Fairness is a central concern of this researchas well. To what
wassubmitted and awarded to enable the ESP to support additional students at FCC and enable themto take longer than the planned completion time of two years to finish their pre-transfer courses.The supplemental funding impact also extended to support scholars at the local four-yearuniversity, California State University-Fresno (CSU-F), where the majority of scholars transferred.DemographicsFCC is two-year, Hispanic-Serving Institution (HSI) and an Asian American and Native AmericanPacific Islander-Serving Institution (AANAPISI) located in Fresno, California. The city of Fresnois one of the most racially and ethnically diverse areas in California. Of the more than 500,000residents of Fresno, many face challenges of concentrated poverty [1], with 30.0
financial burden for transfer students, as they must pay additionaltuition and expenses.Because transfer students comprise approximately half of the CPP student population, thisproject, BRIDGE (Bridging Institutions to Decrease Gaps in Engineering Education, 2023-2026)funded by the National Science Foundation (NSF), focuses on success for engineering transferstudents from three partnering institutions: Mt. San Antonio College (Mt. SAC), Citrus College,and Victor Valley College, by establishing mutually beneficial collaborations and applying threeelements: recruitment activities, retention activities, and faculty development activities.Planned Major Activities for the BRIDGE ProjectThe BRIDGE project plans three primary categories of activities.1
- neering design. Dr. Barrella completed her Ph.D. in Civil Engineering at Georgia Tech where she con- ducted research in transportation and sustainability as part of the Infrastructure Research Group (IRG). Dr. Barrella has investigated best practices in engineering education since 2003 (at Bucknell University) and began collaborating on sustainable engineering design research while at Georgia Tech. She is currently engaged in course development and instruction for the junior design sequence and the freshman design experience, along with coordinating junior capstone at JMU. In addition to the Ph.D. in Civil Engineer- ing, Dr. Barrella holds a Master of City and Regional Planning (Transportation) from Georgia Institute of
understanding key elements that !are the essential elements of a K-12 engineering education. These elements need not be presentin every engineering lesson or unit, but should be addressed throughout the K-12 engineeringcurriculum. The key indicators and their descriptions are shown in Table 1.Table 1: A Framework for Quality K-12 Engineering Education (FQEE-K12)2, 26Key Indicator DescriptionProcess of Design (POD) Design processes are at the center of engineering practice. Solving engineering problems in an iterative process involving preparing, planning, and evaluating the
Paper ID #36703Board 423: Using Agile Principles for Cohort Building in a GraduateSoftware Engineering ProgramDr. Stan Kurkovsky, Central Connecticut State University Stan Kurkovsky is a professor at the Department of Computer Science at Central Connecticut State University. Stan earned his PhD from the Center for Advanced Computer Studies of the University of Louisiana in 1999. Results of his doctoral research have been applied to network planning and industrial simulation. Stan’s current research interests are in software engineering, mobile, and pervasive com- puting. He published over 90 papers in refereed proceedings of
of data, it wasquickly realized that a method to select relevant documents systematically and equitably wasnecessary, so GCM was called upon as a plausible method. As a pilot to the approach, wefocused on the team at a single institution, and we plan to expand this approach to the Hub soon.The GCM approach is made up of six primary steps: (1) Preparation, (2) Generation, (3)Structuring, (4) Analysis, (5) Interpretation, and (6) Usage (Group Concept Mapping). Morespecifically: • Step 1, Preparation, the group project focus is defined. In our case, our defined focus was identification of documents deemed relevant. We defined ‘relevant’ as documents indicating presence/absence of a co-equitable partnership between institutions