. Ohland is an ABET Program Evaluator for ASEE and represents ASEE on the Engineering Accreditation Commission. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS. He was inducted into the ASEE Hall of Fame in 2023.Dr. Kenneth Reid, University of Indianapolis Kenneth Reid is the Associate Dean and Director of Engineering at the R. B. Annis School of Engineering at the University of Indianapolis. He and his coauthors were awarded the Wickenden award (Journal of Engineering Education, 2014) and Best Paper award, Educational Research and Methods Division (ASEE, 2014). He was awarded an IEEE-USA Professional Achievement Award (2013) for designing the B.S. degree in Engineering
these three individuals, as appropriate, to reach saturation of our themes.Analysis Procedures. Coding of data was conducted in a first round of open coding, usinggerund codes to describe mechanisms of identity development and contextual codes to describeelements of faculty development environments. Author B and Author C coded the data in thisphase with peer debriefing after each code was applied to build strong consensus on which codeswere emerging from the data and to ensure interrater reliability moving forward. A second roundof coding was then conducted with the final set of codes to apply them to the full dataset.Axial coding was begun in a third round to form an initial framework for this paper. We plan tore-examine the framework and
. Category Score on Reflective Memo 3 for Groups A-G A B C D E F G Leveraging Mentors 1 0 5 0 4 4 3 Project Limitation: Class Time 3 2 4 0 0 0 0 Conducting a Feasibility Study 3 5 5 2 3 1 4 Stakeholder-centered Design - Audience 4 0 5 0 1 2 0 Purpose Oriented Experimentation 4 3 2 3 5 1 3 Total 15 10 21 5
. Duke Energy operates different types of power generationfacilities, consisting of 27 hydroelectric plants, 11 coal-fired plants, 6 nuclear power plants, 32natural gas facilities, 31 solar farms, 2 pumped storage facilities, 8 battery sites, 1 microgrid, and2 fuel oil facilities [5], as shown in Figure 1a,b [6]. Each generation facility plays a vital role inDuke Energy's objectives and goals to deliver environmentally friendly, dependable, and cost-effective energy within its’ designated service area. (a) (b) Figure 1 (a) Illustration of Duke Energy's electricity generation methods
students’ equity orientations throughcourse experiences that affirm learners’ identities and lived experiences; center thesociotechnical nature of engineering; and prioritize equitable teaching and assessment practices.Our ultimate goal is for students to develop engineering equity-mindedness, involving thefollowing learning objectives: (a) Obj. 1: awareness and recognition of engineering as a sociotechnical field and occupation that requires understanding of micro-, meso-, and macro-level social contexts; (b)Obj. 2: capacity to identify and reflect on one’s positionality and the ways one’s engineering practice can affect societal (in)equity; (c) Obj. 3: capacity to consider, individually and with others, how societal (in
use in EngineeringStatics courses. This study focuses on concept inventories with a majority content coveringtopics directly related to Statics – while other concept inventories have been used in suchresearch, or have historical relevance for Statics education, they were not reviewed as deeply.The research questions guiding this study were: (a) What concept inventories have beendeveloped for Engineering Statics education?; (b) What content/topics in Engineering Statics areaddressed in those concept inventories?; (c) What are the psychometric characteristics of eachconcept inventory?; and (d) To what extent did those concept inventories contribute to researchon Statics education?II. Literature ReviewA. The Role of ReviewsSystematic reviews, as
intelligence (AI) powered conversational educational agents: The inevitable paradigm shift,” Asian Journal of Distance Education, vol. 18, no. 1, Art. no. 1, Mar. 2023, Accessed: Jan. 15, 2025. [Online]. Available: https://www.asianjde.com/ojs/index.php/AsianJDE/article/view/718[2] B. Khosrawi-Rad et al., “Conversational agents in education–a systematic literature review,” 2022.[3] M. D. Koretsky and A. J. Magana, “Using Technology to Enhance Learning and Engagement in Engineering,” Advances in Engineering Education, 2019, Accessed: Jan. 15, 2025. [Online]. Available: https://eric.ed.gov/?id=EJ1220296[4] S. H. Tanvir and G. J. Kim, “WIP: Generative and Custom Chatbots in Computer Programming Education and their Effectiveness A
investigation of world-class universities,” J. Acad. Libr., vol. 47, no. 5, p. 102397, Sep. 2021, doi: 10.1016/j.acalib.2021.102397.[5] F. W. Z. LaPolla and D. Rubin, “The ‘Data Visualization Clinic’: A library-led critique workshop for data visualization,” J. Med. Lib. Assn., vol. 106, no. 4, Oct. 2018, doi: 10.5195/jmla.2018.333.[6] J. C. Oliver, C. Kollen, B. Hickson, and F. Rios, “Data Science Support at the Academic Library,” J. Libr. Admin., vol. 59, no. 3, pp. 241–257, Apr. 2019, doi: 10.1080/01930826.2019.1583015.[7] ASU Library, “Data Science and Analytics,” ASU Library. [Online]. Available: https://lib.asu.edu/data[8] M. H. Bakermans and R. Ziino Plotke, “Assessing information literacy instruction in
professional training(e.g. [22], for a recent example). Strategically assessing and incorporating student perspectives inthe development of graduate instructor training remains an open area for both research and increating inclusive, effective, and adaptable teaching environments.References 1. National Research Council (NRC). (1998). Trends in the early careers of life scientists. Washington, DC: National Academies Press.2. National Research Council (NRC). (2010). A data-based assessment of research-doctorate programs in the United States. Washington, DC: National Academies Press.3. Connolly, M. R., Savoy, J. N., Lee, Y. G., & Hill, L. B. (2016). Building a better future STEM faculty: How doctoral teaching programs can improve
BIM capabilities," Renewable and Sustainable Energy Reviews, vol. 67, pp. 811-825, 2017.[3] A. Schlueter and F. Thesseling, "Building information model based energy/exergy performance assessment in early design stages," Automation in construction, vol. 18, no. 2, pp. 153-163, 2009.[4] D. Jones, C. Snider, A. Nassehi, J. Yon, and B. Hicks, "Characterising the Digital Twin: A systematic literature review," CIRP journal of manufacturing science and technology, vol. 29, pp. 36-52, 2020.[5] Y. Peng, A. Rysanek, Z. Nagy, and A. Schlüter, "Using machine learning techniques for occupancy-prediction-based cooling control in office buildings," Applied energy, vol. 211, pp. 1343-1358, 2018.[6] R
Proceedings, Fairfield, Connecticut: ASEE Conferences, Apr. 2024, p. 45761. doi: 10.18260/1-2--45761.[2] T. L. Strayhorn, College Students’ Sense of Belonging, 2nd ed. Routledge, 2018. doi: 10.4324/9781315297293.[3] S. H. Russell, M. P. Hancock, and J. McCullough, “Benefits of Undergraduate Research Experiences,” Science, vol. 316, no. 5824, pp. 548–549, Apr. 2007, doi: 10.1126/science.1140384.[4] B. A. Nagda, S. R. Gregerman, J. Jonides, W. von Hippel, and J. S. Lerner, “Undergraduate student-faculty research partnerships affect student retention,” Rev. High. Educ., vol. 22, no. 1, pp. 55–72, 1998, doi: 10.1353/rhe.1998.0016.[5] A. Carpi, D. M. Ronan, H. M. Falconer, and N. H. Lents, “Cultivating minority
of a single point rubric utilizing some of the South CarolinaGrade 2 Mathematics Standards is shown in Table 1. There have been other researchpublications documenting the use of single point rubrics, or similar rubric models, in college orprofessional training settings. [13]–[17]In its purest form, the rubrics are used for formative assessment, either by the instructor or apeer, rather than summative assessment, however some online discussions revolve around settinga “meets expectations” or “standards met” grade at a 3 of 4 allowing work that “exceedsstandards” to earn a 4/4. In this way, a single point rubric can be adapted to a traditional gradingschema (awarding A, B, C, etc.) without requiring the instructor to document each
studentsused the prescribed sequence below:1. Build a cube using BBs a. Students are asked to build a specified cube structure using solid materials (BBs) that lack an adhesive property or binding agent, within a given time constraint. b. The immediate learning outcome from this activity is that BBs, which will later be identified as a proxy for neutrons, lack sufficient force properties to create nuclear structures alone.2. Build a cube using bar magnets a. Students are asked to build a specified cube structure using bar magnets, as shown in Figure 3, within a given time constraint. The assignment is possible, but difficult, and a spectrum of student outcomes is to be expected. b
: Knowledge, Consciousness, and the Politics of Empowerment, 2nd ed. New York: Routledge, 2000.[5] T. Nelson, E. V. Cardemil, and C. T. Adeoye, “Rethinking Strength,” Psychology of Women Quarterly, vol. 40, no. 4, pp. 551–563, Jul. 2016, doi: https://doi.org/10.1177/0361684316646716.[6] S. Mahaley, M. Quick, H. Janet, and W. Brown, “The Double Bind: The Price of Being a Minority Woman in Science,” 1976. Available: https://web.mit.edu/cortiz/www/Diversity/1975-DoubleBind.pdf[7] Combahee River Collective, “A Black Feminist Statement,” in But Some of Us Are Brave, G. T. Hull, P. B. Scott, and B. Smith, Eds., The Feminist Press, 1986, pp. 13–22.[8] b. hooks, Feminist Theory: From Margin to Center, 2nd ed
psychometric characteristics, such as their validity and reliabilityevidence and their item characteristics. Finally, we explored the application of conceptinventories by introducing three different application indexes (Alpha, Beta, and Gamma), whichwere used to quantify the degree to which each inventory has been used in the current literature.Therefore, the following research questions guided this study: (a) What concept inventories havebeen developed for circuits education?; (b) What content/topics in circuits were addressed in theconcept inventories?; (c) What were the psychometric characteristics of each concept inventory?;and (d) To what extent did concept inventories contribute to circuits education and research?II. Background LiteratureA
and classroom teacher.Figure 1. Study Timeline. The first six labs occurred within the fall semester, followed by the final lab in the spring. Weeks correlate with the school’s weeks of instruction (i.e., school breaks are removed from the timeline).Workshop DesignDuring the preceding summer, each workshop’s content and completion date were determined incollaboration with the classroom science teacher. Labs were scheduled approximately biweeklyin the fall and once in the spring semester, working around occasional scheduling conflicts.Throughout the school year, student volunteers met a few weeks before the workshops toperform a practice demonstration of the lab (Fig. 2A-B) and develop a slideshow
between research universities andHBCUs at the state level could be highly beneficial. In line with this belief, we developed anintensive summer QISE laboratory course at SCHOOL #A that: (1) invited minority studentsfrom both SCHOOL #A, a Research 1 university and a Predominantly White Institute (PWI), andSCHOOL #B, an HBCU, and (2) implemented an experiential learning theory-based approach(Kolb et al., 2014) that combined lectures with hands-on laboratory. Students that are enrolled inthis course are all with minority backgrounds. The course provided students with weekly lecturesand lab sessions covering a range of foundational and advanced topics in quantum mechanicsand engineering, such as wave-particle duality, quantum entanglement
(gray) was asssessed in academic year 2023. Arrows show the flow of students from the first year courses into the second-year BME design course. The revised curriculum (green) was assessed in academic year 2024. Assessments (triangles) were conducted at the beginning (A and C) and the end (B and D) of the 2 nd year BME design course. Pre- and post-change comparisons of A and C reflect changes in outcome from the first year curriculum. Pre- and post-BME course comparisons (B-A and D-C) reflect changes in the BME design course. After curriculum changesBeginning in Fall 2023, the two separate first-year courses were combined into a single two-course sequence taught
., Costelloe, S., Freeman, B., Lemire, S., Linderman, D., McFarlane, B., Moulton, S., O’Shea, J., Porowski, A., & Richburg- Hayes, L. (2021). Effective advising for postsecondary students: A practice guide for educators (WWC 2022003). Washington, DC: National Center for Education Evaluation and Regional Assistance (NCEE), Institute of Education Sciences, U.S. Department of Education. https://whatworks.ed.gov.[8] M. Goemans and B. Kapinos, “A Quantitative Study of Community College Student-Advisor Appointments and Student Success Metrics,” NACADA Journal, vol. 44, no. 1, pp. 38–54, Jun. 2024, doi: 10.12930/NACADA-23-31.[9] Woltmann, Tanya, "The Relationship Between Academic Coaching and Student Retention For
throughout the game (Figure 1a).The user may also select different game “levels” that will depend on their mastery of the topic (Figure 1b).To start a higher level, the user will be prompted to complete a short quiz to demonstrate that they havethe basic knowledge required to “skip” the current level and move to a higher one.Figure 1 (a) left – An screenshot showing the Welcome screen on the VR game, (b) right – An screenshot of the different gamelevels that the users may interact withFigure 2 (a) left – A screenshot of the VR game guiding the user through the method of joints, (b) right – A screenshot of the gameguiding the user through the method of sections for truss analysisFigure 2 shows preliminary environment and asset creation of the two
standards; the TAs similarly acknowledged that the narrativeneeded elaboration, though their feedback was usually confined to a sentence or two. Despitethese stylistic differences, both sets of feedback converged on the same determination about thecredit’s validity.References:[1] G. Castelblanco, L. Cruz-Castro, and Z. Yang, “Performance of a Large-Language Modelin scoring construction management capstone design projects,” Computer Applications inEngineering Education, vol. n/a, no. n/a, p. e22796, doi: 10.1002/cae.22796.[2] L. Debs, B. Benhart, and F. R. Moraes, “A Review and Comparison of AssociatedSchools of Construction (ASC) Capstone Course Content,” presented at the ASC2022. 58thAnnual Associated Schools of Construction International
. However, the relatively lower recallfor "Correct" responses suggests some limitations, likely due to imbalances in the dataset or thesimplicity of the mode. Figure 1. (a): Training and Validation Accuracy over Epochs (b) Training and Validation Loss over Epochs Metric Incorrect Correct Macro Avg Weighted Avg Precision 0.86 0.69 0.78 0.81 Recall 0.89 0.62 0.76 0.82 F1-Score 0.88 0.65 0.77 0.82 Table 1: Classification Metrics for Feedforward Neural Network on EdNet Dataset 3.2. Deep Knowledge Tracing (DKT) on EdNet DatasetThe DKT model
member through these tutorials is a hands-on process and requires attention to maintain student interest and engagement. (b) Documentation Documentation is rarely a sought-after task in any coursework or co-curricular; it takes dedication and a concern for the future to encourage students to keep documentation updated. Several students exhibited this leadership by submitting updates to the documentation. (c) Common Resources The focused effort on keeping resources in common locations has allowed at least one student to explore the backing infrastructure on their own to make improvements to the Python Unified CLI. They were able to find the source code to
recent article about an application of the nanoimprint lithography (NIL) technique. List: a. type of NIL technique used b. what materials are used c. resolution/measured properties d. specific application Hand in a maximum one-page typed summary and a copy of the article. You are expected to present your finding to the class.h) Classroom presentation and discussion includes the results in the lab portion of the NILmodule and the literature search for the NIL application. Students share their findings with therest of the class. This type of activity enhances both writing and oral technical communication.The course activities are well aligned with the ABET general criteria for engineering
up the number of simulated users and capturehow response times, error rates, and system stability deteriorate at various load thresholds.Figures 1b and Figure 1c, shared with students, provide an example analysis. (a) Game Overview (b) Load Time (c) Errors Figure 1: C300 Module4 C400: Cultivating Performance Awareness in Software Metrics and EstimationAt the core of the new module are two related concepts: performance issue reports and return oninvestment (ROI) analysis. Performance issue reports document system inefficiencies such asslow response times, excessive resource consumption, or poor scalability. Zhao et al. proposedthe use of heuristic
smart pantry for Salvation Army. Quantitative data from the curriculum redesign measures the EOP framework's effect on students' engineering identity, persistence, and sense of belonging, underscoring the importance of sustainable and inclusive engineering education. The presurvey and postsurvey for each of the course module included (a) General understanding of the course such as ethics, engineering design and programming, (b) specific knowledge of topics covered in the course, such as handling ethical dilemma, stakeholder consideration, understanding social justice, renewable resources, life-cycle assessment, energy efficient methods, e- waste management, virtualization and cloud computing (c) application relevance to the course topic such as
) VIN GND GND 5V D9 D10(b)Figure 5: The electrical wiring, shown via (a) the connectivity diagram and (b) a photograph of theunderside of the robot.3 GaitsThe robot moves by simultaneously oscillating the angle of each servomotor in offset waves.Specifically, the servo angles θ1 , θ2 are functions of time as 2π θ1 (t) = a cos t + c1 (1) d
, as they progressed through their engineering degrees, and overallspecialization interests.First-Year Engineering PerformanceThe mean GPAs of BSI students in first-year physics and physics-intensive engineering courseswere compared with the average GPAs of their respective general engineering cohorts from 2019to 2023. Figure 1 presents the mean GPAs for first-year physics, physics-related engineeringfirst-year courses, and the mean GPAs across all investigated courses (physics, circuits, statics,programming, and fluids).Figure 1: GPAs for BSI students (blue) compared with general engineering students (grey) from2019-2023 for physics and physics-heavy engineering courses. GPAs for the following first-yearcourses are shown: a) physics, b
as the possible field trips offered by the program. b) Design of curriculum. Since the NSTI program has 4 weeks, three curriculum components were designed. The PD was responsible for designing the first component whereas the second and the third components were designed by a faculty member and a Ph.D. graduate student, respectively. c) NSTI Personnel. In addition to the two faculty members and the Ph.D. student, two undergraduate Mechatronics Engineering students were selected and hired to facilitate the NSTI activities. d) Preparation for STEM activities. We reserved a senior design lab for the program and set up 8 PCs/laptops with the needed software in that lab. Various parts and supplies were
either use a browser on their mobile devices to enter menti.com and the use code orscan the QR code to access the interactive presentation for participation. Students are required touse their real names to participate in the competitive polling since the classwork points will beassigned based on the students’ responses. Students must complete answering each questionwithin a designated duration. Then, the answers are displayed with a column chart illustrating thedistribution of participants’ choices for each multiple-choice question, as shown in Figure 1(a).This is immediately followed by a leaderboard, Figure 1(b), showing the scores, rankings, andnames of the top 10 participants. The scores and rankings are cumulative for all the