. (1994). Supplemental instruction: From small beginnings to a national program. New Directions for Teaching and Learning, 60(4), 3 - 10.ROSE M. MARRA is the Director of Instructional Services for the College of Engineering at the Pennsylvania StateUniversity. Dr. Marra’s responsibilities include faculty development, teacher training for the college’s TA’s, co-directorship of the teaching intern program and assessment and evaluation of educational changes in the college.Before coming to Penn State, Dr. Marra worked for AT&T Bell Laboratories in Denver, CO. as a software engineer.THOMAS A. LITZINGER is a Professor of Mechanical Engineering and Director of ECSEL at Penn State. In thiscapacity he leads efforts in Faculty and Student
aim at helping students figure out how and where tolocate engineering problem solving in their lives while also holding onto their dreams. In otherwords, it takes as its core mission helping students figure out what they are going through as theylearn engineering problem solving and then to step back and analyze their experiences from adistance.The course works to achieve this goal by improving students' abilities to understand and assessengineering problem solving in historical and global perspectives. An approach to achievingflexibility in engineering graduates that goes beyond simply producing flexible bodies (Martin1994) may be to enable engineers to assess critically their current positions in relation to othersand then to devise new
also its right to use these assets, including also the right to invest capital with the view to obtain resources from outside the State budget (including credit) which could be used to boost the institution’s development potential;• granting public institutions of higher education the right to implement their own systems of assessing the teaching and the right to implement their own remuneration systems;• strengthening the position of institutions of higher education as “direct employer” by granting school organs a free hand in shaping criteria and legal forms of employment, mutual obligations and defining responsibility for neglect of employee duties; extending the freedom of contract-based employment in higher education
involvesphysical structure, an estimate of the loads (forces) that it will be subjected to should be made.The systems group should begin to estimate the life-cycle cost, assess possible safety concernsand risks, and establish a detailed time schedule. Students might find it difficult to begin any Page 3.385.12kind of design without knowing what the other groups are doing. For our house example, thismight mean that the structures group cannot build the walls until it knows how many outlets perroom to leave holes for, yet the power and electricity group might not know how many outletsthey will use until the computer control and integration group tells them
current school year leads to thesequalitative observations: The Web-Lab students appear to understand the principles of theexperiments as well as the hands-on students. The Web-Lab students seem to perform as well inthe corequisite lecture course as hands-on students. The Web-Lab students appear to be able todesign controllers with as much ability as the hands-on students. Further assessments of therelative performance of the web-using students is going to be done. Faculty Workload Equivalent Page 3.486.15The amount of work that went into putting this (existing) laboratory on the web was about halfthe amount of work of
technology. The first lecture isdedicated to providing a broad set of definitions for the terms “disability” and “assistivetechnology.” * The goal is to introduce students to definitions they have not yet considered. Weintroduce the idea that disability is defined relative to the norms of society – introducing the term“normative”† as an alternative to “healthy” or “able-bodied,” etc.– and the idea that assistivetechnology can be any intervention that enables someone to achieve their potential – i.e., not justfor people who self-identify as disabled. Thus, everyone can benefit from assistive devices, andanyone could be a need-knower for this class. To critically assess how perception of theseconcepts change, we use self-reflections at the middle and
ensure that wound pH is between 7.3 - 8.3 and has not become alkaline (which is indicative of a chronic, infected wound) • Incorporate O2 sensors to monitor O2 levels at the wound site (if wound O2 levels fall below 90% saturation, remove bandage to allow for increased O2 flow) • Monitoring wound pH and O2 in addition to wound impedance and temperature will allow for increased validity/reliability in assessing the state of the wound healing processThe variables to be measured, numerical values, operating ranges, and specificity in thecharacteristics of the sensors to be used are included.Tools and design evolutionAn important aspect of the iterative design methodology is the evolution of solution prototypes. Inthe initial
possibilities. The two-point grading methodseems to exist for efficiency. If a computer is doing the grading, the computer can look at morethan just those two points without making more work for the teacher. Alternative systems, suchas linear regression, may reduce teacher workload while emphasizing all points equally. Such achange in grading method would not improve instruction by itself, but rather reduce theworkload on teachers and change the method of assessment in such a way as to open the door toteaching and learning superior conceptions of line and slope a little wider.References1. Ye, Xiaojin, (2011). Grading criteria of college algebra teachers. Unpublished master’s thesis, Kansas State University, Manhattan, KS.2. Castillo-Garsow, C. (2010
educational assessment best practices. She focuses on building and evaluating academic programs that promote inclusive excellence for all learners. Currently, Dr. Cullington serves as the Associate Provost of Academic Programs at Sacred Heart University. Previously, she was the Founding Co-Chair of the Honors Program at SUNY Farmingdale and Associate Director of the Research Aligned Mentorship (RAM) Program where she designed, implemented, and evaluated academic programs to engage students from historically minoritized communities in undergraduate research opportunities. She has served as a principal investigator and educational researcher on number grant initiatives, including grants from the National Science Foundation
the industry the author worked.As an instructor, the author has been teaching ME 367 - Machine Design since spring 2014(offered once in the academic year) and started by using only the textbook and data provided inthe book by Shigley [12] for the first two years and afterwards Norton [14]. Grading usedquizzes and exams for assessing the course outcome. The author who also teaches the twosemester Capstone design course ME 448/449 noticed that students struggled selectingcomponents from vendor catalog. They could design components and size them based on theirsixth semester ME 367 - machine design course but demonstrated struggle in selecting andspecifying components from catalogs which was required for their design and build in capstoneprojects
) Facilitate & support Influence & support Create policy & Dimensions of Teaching the learning of their others to innovate or conditions to students improve improve learningDeliver Engaging, challenging,Facilitate & scaffolding, supporting,support learning & providing feedback to studentsDesign Designing, developingCourse / & deploying resources,Program Design learning activities,/ Development assessments, etc.Develop Collection &Reflective interpretation ofPractive evidence to inform
engineering students with respect to campus-wide students. Prior research is limited in comparative assessment, the insights from which can help inform intervention strategies aimed at improving the credit efficiency of STEM students (at institutional and/or government levels). • A data-driven way to approximate and remove surplus credits (explained in Section 3.2) - credits that are not expected to contribute towards the student’s degree program and thus can potentially bias the analysis, e.g., Transfer students starting out with more credits than required by their intended degree program contribute to surplus.This work is currently limited to graduated students. Our initial findings, using actual data from alarge
from Gen AI Engineering UG programs should prepare students to address ethical 2 6.50 0.53 6, 7 considerations about applying Gen AITable 2. Industry Likert-scale questions on responsibilities of engineering undergraduate programs.DiscussionRecall the Gen AI application that recommends actions to managers based on levels of employeeengagement from surveys. In lecture, we adapt and bring such an application into the classroom fordiscussion. What if the instructor has a dashboard that provides real-time assessments of studentengagement, and recommended next-step actions to the instructor to adapt? Even when presented asa benefit for the
contribute to students viewing themselves asengineers prior to graduating and entering the workforce. At the same time, several factors havebeen known to discourage students from pursuing or continuing to study engineering. Thesefactors, which include cultural and socioeconomic background, race, gender, and sexualorientation, can affect a student’s sense of community and belonging in engineering and otherSTEM fields. In this paper, we discuss the pivotal moments, significant relationships, and socialinteractions that participants used to anchor their engineering identities. These anchors serve asfoundational reference points on which engineering identity is iteratively built and assessed. Ourfindings offer valuable insights into the commencement of
, information issent out to the students upon selection. A total of 30 students, representing schools from acrossQatar, across multiple age range were selected to participate in each program which was held atTexas A&M University at Qatar’s STEM Hub.As for the programs’ structure, each course consisted of daily sessions from 9:00 a.m. until 1:00p.m. that ran over the course of five days. Lessons were then organized into daily modules,incorporating mini projects to reinforce learning and assess comprehension of the theoreticallessons. By the end of the program, a final project is announced that has students combine all thecovered material throughout the week into a tangible product with a specified competition thatserves as a motivator. Moreover, the
M. Kordaki, "Essential factors that affect students’ choices to study computer science: Gender differences," Testing/Assessment, 2005.[23] C. de Lira, R. Wong, O. Oje, G. Nketah, O. Adesope, and A. Ghods, "Summer Programming Camps–Exploring Project-Based Informal CS Education in a Rural Community," International Journal of Computer Science Education in Schools, vol. 5, no. 4, pp. 20-37, 2022.[24] P. T. Mitchell, "Undergraduate motivations for choosing a science, technology, engineering, or mathematics (STEM) major," 2016.[25] T. Urness and E. D. Manley, "Generating interest in computer science through middle- school android summer camps," Journal of Computing Sciences in Colleges, vol. 28, no
need and educational outcomes [23]. To provide this motivational context, theinstitution where the intervention was implemented has the following student demographicswithin its College of Engineering: 77% male, 23% female; 61% White, 15.7% Hispanic/Latinx,5.9% Asian and 3.9% Black.This research is closely related to ongoing work with critical narrative for teaching ethics andprofessional responsibility in engineering by colleagues at the same university. The focus hasbeen entirely on senior engineering students to examine how critical narratives impact students’abilities to assess the broader impacts (social, economic, and environmental) of engineeringwork. Results from this work suggest that students respond well to narratives that engage
, decrease energyburden in DACs). Post-program assessments of the value of the theme and equity workshopwere well-received by the REM students.NSBE SEEK. The initial training process for SEEK mentors introduces staff to the goals andmission of NSBE while establishing their place as problem-solvers within the NSBE ecosystem.The NSBE SEEK mentors, including our REM students, are educated by the SEEK staff aboutthe importance of racial identity and the disparities and prejudice that exist in the engineeringspace. Next, we stress the importance of having a strong STEM background from a young ageand how the SEEK program enables young SEEK students to see themselves as future engineers(https://gems.education.purdue.edu/wp-content/uploads/2019/02
, administrators, andmilitary and non-military students. Concurrent with the research plan, the education plan worksto build and connect local theory to practice by characterizing the current support structuresavailable for SVSM in engineering in our region, and develop, implement, and assess newsupports and interventions based on SVSM identities and knowledge about their required andpreferred resources.2. Major Activities and OutcomesTo begin, we provide a brief summary of project work completed in prior project Years 1 and 2,which was previously detailed by [17]. Next, we describe in detail the project activities andoutcomes accomplished during the current project Year 3.2.1 Year 1 Brief SummaryDuring Year 1 (Jul 2021-Jul 2022), the Principal
computer science track in the interdisciplinary curriculum, wherethe goal is to provide a foundational presentation of computer science principles within thecontext of an interdisciplinary graduate program. The courses are designed to support learners inidentifying common data structures and sources, using information technology and relevantprogramming environments to convey and retrieve information, and identifying processes andmechanisms commonly used to retrieve, assess, re-engineer, manipulate, and visualize data. Thediverse backgrounds of the learners make this an interesting challenge for curriculum designers.How can a professional master’s degree successfully introduce foundational computer scienceconcepts for adult learners from diverse
of experiment for safety and effectiveness, he or she allows thestudents to begin conducting the laboratory exercise.This pedagogy was designed to satisfy ABET Student Outcome 6, specifically, the “ability todevelop and conduct appropriate experimentation.” [8] Other laboratory exercises include two-week investigations into the performance of centrifugal pumps, measurements of the velocity fieldof a free jet, and investigations into the wake flow behind a cylinder, and the semester ends withtopics related to measuring friction losses in pipes, including both major and minor losses. Aftereach two-week exercise, students prepare individually-written lab reports that are graded on acombination of writing quality and assessment of the technical
Paper ID #43750A Reflexive Thematic Analysis of the Experience of a High School Junior inthe STEMcx Environmental Justice InternshipDr. Royce A Francis, The George Washington University Dr. Royce Francis is an Associate Professor in the Department of Engineering Management and Systems Engineering [EMSE] at the George Washington University. At George Washington, Dr. Francis’s engineering education research explores the relationships between professional identity formation and engineering judgment. His other research interests include infrastructure resilience and risk assessment, and safer chemicals decision making
underscores a significant gap in the understanding and addressing of disabled students’needs within postsecondary engineering programs. Without such demographic information, itbecomes challenging to accurately assess the representation of disabled students withinpostsecondary engineering programs, as well as these program’s accessibility, inclusiveness, orlack thereof. The exclusion of disability-related data diminishes the visibility of disabled studentsin engineering. This exclusion from data sources explicitly focused on increasing diversityrepresentation within STEM programs (e.g., [1]) emphasizes this disregard. Addressing thisomission is essential for fostering a more diverse and equitable academic environment thatsupports the needs of disabled
instructors. We conducted an analysis of thewritten reflections from students in the 2023/24 cohort regarding their understanding of thestrengths and weaknesses of generative AI technologies. Furthermore, we assessed howstudents' awareness of generative AI ethics, responsibility, and legal considerations evolvedthroughout their reflections. By identifying common blind spots, we gained valuable insightsto continually enhance guidance for students at various stages of their learning progress.KeywordsGenerative AI, AI competency, AI ethicsBackgroundIn the rapidly advancing field of artificial intelligence technology, there is a pressing need tobridge the gap between theoretical knowledge and practical skills, especially in the realm ofgenerative AI
and sense of belonging tofacilitate academic success. In this project, the UofM has supported more than 50 engineeringstudents since the academic year 2019-2020. Several components have been developed andimplemented to provide students with academic and community support. This paper presentsparticipation data, outcomes, and impacts of this five-year experience for UofM scholars.2. Overview of the ProgramThe overall theme of the program is to support scholars to develop a STEM identity and sense ofbelonging so that they are retained and graduate from their engineering major. A main goal of theproject is to apply, research, assess, refine, and improve a sustainable and flexible model to recruitand retain academically talented STEM students with
demographics, Likert scale, select all that apply, and multiple-choice items. The survey aimed to gauge participants' engagement with PQI activities; theirknowledge, perceptions of, and comfort with qualitative and mixed methods; assessment oftraining outcomes and curriculum; the influence of PQI training on research dissemination; andself-reported behavioral changes before and after training. Questions were also designed toconsider the mission, vision, and goals of the PQI.The recruitment process involved reaching out to all participants from the PQI, emphasizingvoluntary participation without any incentives. The evaluation team administered the surveythrough a secure online platform (Qualtrics) to safeguard participant confidentiality. Beforetaking
variousoutcomes of the program including engagement with the field of engineering, timely progressiontowards degree, access to internships, and gain intrapreneurial skills. Overall, engagement andconnection was deemed the most important. Timely completion of degree varied in importance.intrapreneurship tendenciesEach semester, students were asked to fill out the “Intrapreneurial Competencies MeasurementScale” (ICMS) survey by Vargas-Halabi et al.11 at the beginning and at the end. The survey wasused to measure and evaluate the development of intrapreneurial competencies, which include:(1) Opportunity promoter, (2) Proactivity, (3) Flexibility, (4) Drive, and (5) Risk-taking. Each ofthe categories of the ICMS is divided into 3-9 sub-categories to assess
persistence among low socioeconomic status students," Journal of Experiemntal Social Psychology, vol. 72, pp. 45-52, 2017.[22] R. M. Stwalley III, "Assessing improvement and professional career skill in senior capstone design through course data," International Journal of Engineering Pedagogy 7, no. 3, pp. 130-146, 2017.[23] R. M. Stwalley III, "Professional career skills in senior capstone design," in ASEE Capstone Conference - Columbus, Washington, DC, 2016.[24] J. McCarthy, "Reflective writing, higher education, and professional practice," Journal for Education in the Built Environment, vol. 6, no. 1, pp. 29-43, 2011.[25] G. Bolton, "Narrative writing: reflective enquiry into professional practice," Educational Action
networking, and the System UsabilityScore (SUS).The majority of the participants are male students (17 out of 20). The racial composition ispredominantly White (15 out of 20), followed by Hispanic (2), with students identifying asBlack/African American, Other, and Asian. Students come from a mix of software and computerengineering majors, primarily in their third or fourth semester. Academically, the participants havea good standing, with an average GPA of around 2.98.Interest in robotics and networking is high, with an average interest level of 7.25 out of 10, despitevaried self-assessed knowledge levels. The results of the SUS survey showed high scores,averaging 86.63 (A+ grade), indicating that the module is engaging and accessible to students