inexecuting plans in anticipated circumstances [12]. In more straightforward terms, it signifies aperson's assurance in accomplishing a specific task. Albert Bandura's framework underscoresthat self-efficacy beliefs evolve through the interpretation of information from four key sources,shaping one's perception of their capabilities [12]. These beliefs significantly impact motivationand behavior.Seeing value pertains to the perceived significance an individual gives to a specific goal, result,or action. It signifies the personal importance or desirability linked to achieving a particularoutcome. The notion of value is pivotal in driving individuals to pursue objectives andparticipate in behaviors, as people are inclined to dedicate effort and
, their major,figuring out their path to graduation, and emphasizing the importance of ethics and justice,diversity, equity, and inclusion in engineering.Academic Advising General academic advising on courses with a primary focus on the importance of each student planning out their flowcharts for their individual path to graduation given the uniqueness of incoming transfer credit for each student; a discussion on concentrations in the major; senior projects; and how to get involved in researchPeer Review Flowcharts and Career Panel After students completed their flowcharts, they were prepared for more in depth discussion on flowcharts that FTFY students typically learn via word of mouth, including: which classes to avoid
which an individual internally andoutwardly interacts with their own symptoms.To capture neurodivergent narratives, we plan on conducting semi-structured interviews withneurodivergent engineering students three times over the semester (beginning, middle, end).Initial interview protocols for each interview will be developed and adjusted throughout theinterview data collection process. An initial compilation of relevant interview questions wascompiled from previous research and from the objectives of the research study. This initial poolof questions will then be refined based on our thematic findings and using the nuanced languageidentified on the social media platforms TikTok, Reddit, and Twitter. Results of this work will bepresented in this
[7]. • Industry collaborations, facilitated through the Society of Petroleum Engineers' Data Science and Engineering Analytics Technical Section (SPE DSEATS). • Resource planning, addressing funding needs for ICT infrastructure, travel, and conference participation.Additionally, the program sustainability is pre-conditioned on external factors such as institutionalsupport, participant commitment, and availability of funding. An On-going Precursor ImplementationRecognizing that educators require foundational programming skills to effectively integrate dataanalytics and machine learning into petroleum engineering curricula, we initiated a pre-requisiteprofessional development effort: the Python
eventually expected to ‘fly solo’ as they build software solutions with no guidance.4. Our multifaceted assessment plan – elaborating on Learning Engineering’s third elementBecause data-informed, iterative improvement is core to our approach, we consider assessmentan ongoing activity. Given our online certificates are rather new, this work-in-progress paperdescribes our multifaceted assessment plan and presents preliminary assessment results. Theseassessment questions, with corresponding data sources and study designs, summarize our plan:1. What areas or aspects of each course design can be improved to enhance student learning? Data source: Performance data from online students’ coursework, analyzed according to a learning engineering
0.6365 0.9404 0.6801 Intentions & Future Plans 0.9635 0.7280 0.9727 0.9316 Outcome Expectations 0.5980 0.5902 0.9934 0.8975 Support & Barriers 0.0805 0.4568 0.1836 0.5968Note:A P-value less than 0.05 is flagged with 1 stars (*); A P-value less than 0.01 is flagged with 2 stars (**).The ANOVA results showed that in the pre-survey data, male and female students hadstatistically significant differences across most constructs, including engineering curiosity,engineering identity, engineering interest, intentions & future plans, outcome
Engineering and Ph.D. in Engineering Education at Mississippi State University. Her research used Self Determination Theory to analyze Summer Bridge students’ experiences and senior engineering students’ graduation plans. She also researched how different first-year structures affect students’ engineering identities and involvement in communities of practice over time. Shaylin joined the University of Virginia in July 2023 and serves as an assistant professor and academic advisor in the First Year Engineering Center. She maintains interests in learning more about what contributes to engineering students’ success, how they can get the most out of their undergraduate programs, and how programs can be better designed to cater
processes. Students must answer these scientific questions using CO2 and O2 sensors. They also design experimental procedures and analyse the data, with a focus on interpretation through theoretical models and stoichiometric calculations [12]. 2) Project "Working with Electricity": This project focuses on activities related to electricity generation and usage. Some outcomes include: a) Creating a Christmas garland and the electrical installation in a home, and b) Analysis and production of an electrical device. Industrial and artisanal designs are also worked on as part of the learning process [13]. 3) Project "Making our School Green": The aim of this project is for students to plan how to save energy in their
thus far, and we plan to conduct additional interviews in thecoming semesters. Participants’ demographics were as follows: Grace, a graduate student inMechanical Engineering, comes from a rural Midwestern family with deep entrepreneurial roots,including dairy farming and cheese production for global markets. She currently manages aresearch lab. Wes, a first-year mechanical engineering student from an urban background, has nofamily history of entrepreneurship but is exploring his identity within the field. Cortex, a fourth-year mechanical engineering student and Vice President of the Bridger Solar Team, combinestechnical and entrepreneurial skills influenced by his father’s cattle ranching business. Open-ended, semi-structured interviews
learning activities other than mini conferences. However, facultymentors and the administration suggested that we restrict ourselves to mini conferences so thatstudents have enough lab time to complete their projects. We complied with this suggestionbecause students do experience some pressure to finish their projects within the 11-week period. In lieu of additional activities, we plan to incorporate various STEM teaching techniques(Felder, 2016) to improve the mini-conference session. Notably, most mini-conference sessionsin the past had a lecture-based approach. With this redesign, we hope to incorporate more activelearning techniques to engage students. However, we invite some mini-conference speakers sospeakers will use their own styles that
and the college have been interested in expanding access to undergraduatestudents by offering core/foundational undergraduate courses through the hybrid/asynchronousdistance learning modality. The authors of this paper planned to launch the two courses as fullyasynchronous online courses for the first time during the Summer 2024 semester. Offering thesetwo courses over the summer semester could significantly improve students' ability to stay on trackwith their degree plans and improve their ability to complete their degrees within 4 years.During the Summer 2024, the authors of the paper, who taught the same courses as in-personcourses during the Fall 2023 semester, offered these courses over a 10-week period through thefully asynchronous
completed experiments (n=2), orprospectively, planning for upcoming experiments (n=5). The group’s reflections did not seem tobe influenced by whether the students had already conducted their experiment, were still in theplanning phase, or were planning to adjust a previously conducted experiment. There was not anobvious difference in the scores based on this factor, retrospective (10, 13) versus prospective (5to 21, median 10). The memos with the shortest word counts received the lowest score, perhapsbecause it is harder to find evidence of depth of thinking and/or the level of care the teams tookwith the reflection.Table 1. Summary of team scores for groups A to G on categories identified from coding theirexperimentation-related reflective memos
practice” examples we share regularlyfeatures good professional attitudes. We also formally teach professional attitudes in teamworkand leadership lessons. This includes, for example • Ethics thread: Learning in our ethics thread across the curriculum includes lessons in integrity and honesty • Leadership thread: Our teamwork and leadership learning, also a thread across the curriculum, includes dependability, consideration of others, empathy and respect, and flexibility. • Civil engineering case studies: Most of our faculty include case study learning in at least some of their classes. Some have planned learning even in required classes, such as “Professional Issues Friday”Despite faculty-driven
research designhighlight issues of risk and responsibility. In many ways, the IRB application is a mapping ofpotential risks with plans to avoid, mitigate, and accommodate some of these risks (indeed, everyresearch impacting humans has risks, and thus invites ethical response). This myriad of risks cancreate obstacles for researchers who want to go ahead with their research project. This is wherethe regulatory body of the IRB comes to the assistance of researchers to help with the what if'sand support researchers in their plans to mitigate harm to human participants. From a formalistic view, this whole process is ponderous. This is why many of ourstudents tend to approach the IRB process as a matter of a bureaucratic formality that needs to
open to the public. The release of ChatGPT marked adistinct shift in thought about the potential of AI in the hands of the public and an urgency forregulation.In November 2022, Brookings (a left-leaning think tank) published a Global AI ResearchAgenda, later cited in the U.S. Global AI Research Agenda released 3-14-24. At the same time,a U.S. National AI Strategic Plan was under development.Agency Approaches to Responsible AIThe Office of Science and Technology Policy and NSF were addressing the meaning and formthat responsible AI research should take across government agencies. This NAIRR initiative,which began in the Trump administration, released the results of its pilot in January of 2023.Determining NSF would house the interagency AI
overall average score is stable (around 87) when all students areconsidered over the years (2021, 2022 and 2024). In 2022, F2F and DE scores were close (87.6vs. 87.9). In 2024, DE students scored lower (83.5 vs. 88.3). This disparity may stem fromvarying Linux proficiency. Some DE students transferred from community colleges with lessrigorous Linux preparation. To address this, Linux review sessions and greater use of the Canvasdiscussion board are planned. Table 1: Lab Grades Comparison Labs 2021 ALL 2022 F2F 2022 DE 2022 ALL 2024 F2F 2024 DE 2024 ALL Lab 1 92.7 92.1 88.9 90.7 93.6 91.3 92.8 Lab 2 81.4 80.8 87.5
accessibility ofyour lab space. These questions are based on the [institution] Disabilities, Opportunities,Internetworking, and Technology (DO-IT) [18]. QUESTION RESPONSE OPTION(S)/TYPE Please rate to what extent the following Rating scale with options: statements are true about strategy, planning, ● Not at all policies, and evaluation of your physical lab ● Somewhat space. ● Mostly ● People with disabilities were included in ● Completely the planning and selection of lab ● Unknown/Not Sure equipment and services. ● N/A – Not relevant to the lab ● Considering accessibility is a requirement
instructors.Methodology: The overarching goal of the year one intervention is to train students toeffectively self-regulate their learning by guiding them to use the three steps of SRL while doingmajor assignments. The three steps of SRL are: (1) Before beginning a challenging task, setgoals for the task, plan the actions to reach the goal, and self-motivate; (2) Do the task, adheringto the plan and self-monitoring and self-directing actions; and (3) After the task is completed,reflect on performance and experience, and identify adaptations to the plan to improveperformance or experience the next time a similar challenging task is assigned.We began by designing the intervention in Spring 2024, building on educational theory andresearch, and the typical tasks of
address RQ1 with a specific focus on careers, we have designed aninterpretivist protocol based on the Theory of Planned Behavior [12]. This theory hypothesizesthat one’s intentions and behaviors (e.g., students’ career aspirations and intentions) areinfluenced by one’s attitudes (e.g., their attitudes toward the macroethical implications of certaincareers), cultural norms (e.g., their perceptions about the way others value certain careers), andperceived behavioral control (e.g., their beliefs about their ability to obtain a job that aligns withtheir values).We have recruited undergraduate aerospace engineering students at the University of Michigan toparticipate in this research. We first investigate students’ attitudes through individual
students’ participation in a two-week summerworkforce development program focused on microelectronics (Work in Progress)Overview of the project:This study explored the impact of a stipend on high school students’ participation in a two-weeksummer workforce development program focused on microelectronics. The two-week programwas part of a Midwest economic development organization’s multi-tier plan to attract newcompanies to their region focused on the semiconductor and microelectronics industries. As partof this plan to attract this new industry, the regional economic development organization fundeda two-week workforce development program for high school students to learn more aboutsemiconductors and microelectronics and career pathway options
can significantlyimpact one's learning abilities and experiences; Behaviors represent actual actions that can beobserved or measured [13]. This model is commonly applied in psychology, education, andhealthcare to demonstrate how individuals' learning processes relate to their actions. It has provenparticularly effective in increasing positive attitudes towards patients' self-management and infacilitating measurement and intervention in psychological research [14] [15].By introducing the KAB model, we aim to better understand parents across the three dimensions andexplore how the model can support students' engineering education during the pre-college period. Wealso plan to examine the context to build corresponding dimensions within the model
20 years, the UnitedStates has faced a shortage of engineers [11]; part of the reason is exposure in the K-12 Settings [12]. Overthis same time period, a significant number of Pre-college STEM initiatives have been established tostimulate interest in STEM disciplines and improve the coordination of efforts between K-12 and highereducation. Of the many established initiatives, effective recruitment tools for STEM majors include: K-12school outreach, University open house sessions, hands-on workshops, competitions and demonstration,and summer camps [9]. The idea of using summer camps to promote STEM disciplines is not new [12]. A review of theSTEM summer camp literature by Kuyath [13] yielded several themes related to the planning
on theircareer path and how they should pursue fulfillment of the PG, ME, and SD outcomes, includingwhat they should expect from their employer, employers will take notice. But that alone willnot be enough. The CEBOK3 defines the framework for fulfilling PG, ME, and SD outcomes,but itself does not provide employers with the hands-on tools and guidance necessary to fulfillthem in a practical and comprehensive way. ASCE is developing a robust and comprehensiveprogram to fulfill the ME outcomes in the CEBOK3, with plans to add PG and SD outcomeslater. This program will be central to ASCE’s outreach to industry to help them fulfill their roleand will be discussed later in the paper.How academia should introduce the CEBOK3Ideally, the CEBOK3 is
students [35].Contextualized instruction can also improve student engagement in English composition.Students planning to enter STEM fields often find connecting their work in first-yearcomposition to their chosen disciplines challenging. Driscoll [36] found that 45.9% of studentsfeel either “uncertain” or “disconnected” when asked to connect their learning to their plannedfields of study and careers. Further, this disconnect can create a false dichotomy in whichstudents believe themselves to be “bad at writing” because they are “more of a science person.”Contextualized learning, which focuses on authentic contexts, problem solving, and cognitiveapprenticeship, has a strong track record of combatting this disconnect and motivating students
modules, and make faculty-led trainingactivities more scalable and transferable. For this portion of the project, the plan is to develop aseries of self-contained EM training workshops (~1 hour each) for students. These workshopswill be designed for flexible deployment at various universities within their existingundergraduate research programs (e.g., summer research fellowship programs, honors thesiscourses, undergraduate research opportunity programs). In contrast to the activities developed forearly awareness and exposure, these workshops would focus on having students apply EMconcepts directly to their own research projects. Proposed workshop topics (among others)include framing research questions with EM, resilience and thriving in a
] and aims to let informants’ genuine thoughts and emotionsunfold naturally.Interview StoriesThe interview stories were collected during interviews in six studies, where the context for eachstudy was a unique section of the same preservice teacher education course in a large publicuniversity in the Southeast United States. Each section was offered in a unique semester.Informants were recruited under a protocol approved by the IRB of the large public university inthe Southeast United States. To recruit informants, a researcher visited the classes, explained thepurpose of the study – to learn how preservice teachers learn to use robotics technology in K-12classrooms from videos, lesson plans, and discussions. Informants in all six studies
persistence, clear and consistent credittransfer policies, planning and orientation, integrated academic advising, mentoring, and socialnetworks take precedence [7] [8] [9]. A large majority of studies in this area are conducted in thecontext of large research institutions or state university systems [10] [11] [12] [13] [14]. Whilefindings and best practices generated from these studies are nonetheless valuable, a glaring gapremains in the role that the size and nature of receiving institutions play in transfer studentsuccess. This study aims to explore in-depth and rich descriptions of transfer studentexperiences, captured over a period of 10 years at a teaching-focused institution.The Department of Electrical and Computer Engineering at Seattle
1964, theEconomic Opportunity Act of 1964, and the Higher Education Act of 1965 (Loss, 2011). Due tothis legislation, colleges and universities that were exclusive of Black students in the US, beganto enroll Black students for the very first time. Furthermore, higher education implementedaffirmative action plans to expand recruitment efforts of racially minoritized groups, especiallyBlack students, to address demographic shifts and resulting changes to campus climates.However, implementing these initiatives may not have been enough given that few institutionshave taken decisive action toward eliminating academic violence in higher education (Ballard,2004; Bishop, 2017). Bishop (2017) defined academic violence as “ways marginalized peopleboth
started in (another department) and was disappointed by the lack of hands-on and individualized learning opportunities within the department. The teaching style and environment didn’t match with my way of learning or what I value and believe. Once hearing about this program and its structure I realized it was what I had been envisioning and wanting the whole time so I switched. I wish I had learned about it - in an equal emphasis kind of way to the other engineering options - when applying.”Focus group students discussed why they entered or transferred into the IDE program, theirindividual goals and plans, and how their pathways felt different than the traditional engineeringmajors in the college. Their responses
strength of an MS-PS2-3 electromagnet. They identify patterns MS-ETS1-1 in their data and create a poster to MS-ETS1-2 share their experimental results with MS-ETS1-3 the class. MS-ETS1-45 Engineering Plan and Design: In this lesson, each 5-PS1-3 team of students chooses another 3-5-ETS1-3 variable to test. They then collect data MS-ETS1-3 and create visual displays to look for MS-ETS1-4 patterns in their data. Using the information they have learned about electromagnets, students design and