whole group interventions to ensure allstudents are moving at the same pace.By the end of the modeling instruction session, new representations made by each group areshown to the class by a reasoning explanation and model presentation. Thus, an incrementaldevelopment is achieved and a robust model is build. Modeling instruction used in the classroomis represented in Figure 1 [4].Fig. 1. Sequence for model development embedded in modeling instruction [6].Representations are the media used to reproduce and represent physical phenomena, expressingrelationship between variables, communicating and synthesizing ideas about an event and theircharacteristics, considering that “different media emphasize (and de-emphasize) different aspectsof the systems
Lewisburg, PA, USA kyle.trenshaw@rochester.edu elif.miskioglu@bucknell.edu philip.asare@bucknell.edu Abstract—The Workshop Program at the University of Hispanic, and Native Hawaiian students are less likely toRochester infuses collaborative learning into a variety of attend Workshops than White and Asian students [4]. We seeintroductory STEM and non-STEM courses through small, this trend across disciplines and course levels. The trendweekly, peer-led problem-solving sessions called "Workshops." becomes even more concerning when considering our findingsDecades of data from these Workshops indicate that 1) American that every
"correct."MethodsThe research team invited conversations with professors and graduate students from Women,Gender, and Sexuality Studies (WGSS) who are scholars in the area of oppression and privilege.Through these brainstorming sessions, possible subjects for the vignette were generated, most ofwhich had to do with the treatment of individuals with identities outside of the dominantparadigm (e.g., women’s experiences in engineering, racial or cultural insensitivity in a socialsetting, and gender as a social construct). A vignette format was chosen because it could beeasily constructed to elicit responses around several different underlying concepts believed to beimportant indicators of an understanding of oppression and privilege. The input from
and deployment. While the tenstages are rather intuitive and simple, they still provide a solid base as well as a template for labdevelopment. In addition, the comparison of the ten stages of the lab lifecycle with the introducedgeneric phases of a product lifecycle are intended to help faculty and administrators in justifyingthe timely funding for new or improved labs.The Ten Stages of a Lab LifecycleTable 1 shows the ten lab lifecycle stages and their, somewhat loose, mapping with respect to amore general product lifecycle. The column on the right is based on two concepts described inDieter and Schmidt [10], namely the product development process and the phases of a productlifecycle. While there are many similarities between the two
designed as an upper-level technical electivecourse and added to the Mechanical and Mechatronic Engineering curriculum in Spring 2019. Itwas offered in Fall 2019 semester for the first time and had 22 enrolled students.This course was designed to introduce the interdisciplinary field of nanoscience andnanotechnology, including engineering, materials science, chemistry, and physics, toundergraduate students. The topics covered include advanced materials, synthesis andmodification of nanomaterials, properties of nanomaterials, materials characterization,nanofabrication methods, and applications (Table 1). The objectives of this course were tointroduce the fundamentals of nanoscience and engineering to engineering, physics, andchemistry students and
generalknowledge questions (e.g., which of the following is not a form of energy, which of thefollowing is not an example of a vector, etc.) using a multiple choice or fill in the blank questionformat. The content assessment was treated as a quiz in that students would earn one point forevery question they answered correctly.companies and labs and using materials developed by faculty-presenters as part of the broader impact portion oftheir NSF funded grants. The program provided diversity training for the PREP staff, including the student mentors.The students were required to undertake a research project that culminated in a poster session modeled after aprofessional conferenceTable 1.Constructs assessed during each year of the NM PREP Academy
security issues in their software engineering careers.Students were asked to rank the learning objectives on a Likert scale of 1 to 5 where 1 was theworst ranking and 5 was the best ranking Generally, the results of the survey demonstratedstudents ranked the objectives well, with the lowest score for the objective about developing anaction plan for ethics indicating ways to improve the module in future course offering. Thehighest values were given to considering multiple viewpoints, indicating the mindset aspects ofthe project may have been successful.Based on the outcome and student feedback recommendations for future implementation of themodule in the curriculum is discussed.IntroductionThis paper describes a classroom module designed to develop
Paper ID #29671PLC Training in First Year Electrical Engineering ProgramDr. Cyrus Habibi P.E., University of Wisconsin, Platteville Cyrus Habibi is an Assistant Professor in the department of Electrical Engineering at the University of Wisconsin-Platteville. He earned his Ph.D. degree in Electrical Engineering from the University of Wisconsin-Milwaukee in 2010. His primary research interests are in the field of signal processing, di- electric spectroscopy and sensors. Specifically, he is interested in developing novel medical devices. In addition to his technical research, he is also an active member of American Society of
. In addition to his academic endeavors, Njoroge is deeply interested in the realm of Building Control Systems, showcasing a profound passion for optimizing system performance and functionality. His journey is uniquely characterized by the intricate balance of work and school, a testament to his perseverance and commitment. As a first-generation college student, Njoroge’s path is mapped with resilience and determination, marking him as a trailblazer in his family. Furthermore, Njoroge’s dedication to empowering others is evident in his founding of a mentorship program tailored to guide immigrant students navigating the complexities of engineering education and acclimating to a new academic system. Through this
engineering competencies. Competency-based education (CBE) is an instructional approach that focuses onactionable outcomes rather than traditional knowledge-based outcomes. Competencies arenecessary to effectively perform specific functions and solve contextually-specific problems [4],[5], [6]. Competencies can be described as applying general and occupation-related KSAs tocomplete a task [7]. Specifically, knowledge is the domain-specific knowledge, skills includehigher-order thinking to apply knowledge, and abilities, sometimes conceptualized asdispositions, relate to the attitudes and values of the learner [1]. Additionally, CBE course learning objectives are framed around professional practicesand problem-solving [7]. For
instituted a recitation program, and it included optionalweekly recitation sessions dedicated to statics. Although students were encouraged to attend,attendance remained very low both semesters.The second year went much better. Instead of PowerPoint presentations, class time was spentwriting notes and working problems on the white board, often with some form of a visual aid orprop. The 6+1 test structure was retained but retakes were offered for each of the 6, 10% tests,resulting in an overall increase in final grade [1]. Instead of pencil and paper homework,homework was completed online using Pearson Mastering. The recitation sessions becamemandatory and the peer teachers for statics were directed to help students work homeworkproblems in Pearson
Paper ID #42994WIP: Exploring Strategies that Allow Multiple Attempts on Formative Assessmentsin an Introduction Programming CourseDr. Bob Schaffer, Mission College Dr. Bob Schaffer is a professor and department chair of the Engineering Department and the Mechatronic Technology Department at Mission College (Santa Clara, CA). He is also a lecturer at Santa Clara University and founder/Board Chair at Elevate Tutoring, a non-profit that works to empower low-income and first-generation students. ©American Society for Engineering Education, 2024Title: WIP: Exploring Strategies that Allow Multiple Attempts
, vol. 37, no. 4, pp. 391–400, Jun. 2014, doi: 10.1016/j.adolescence.2014.03.003.[26] Trochim, Donnelly, and A. Kanika, Research Methods: The Essential Knowledge Base, 2nd edition. Boston, MA: Cengage Learning, 2015.[27] S. Zappe, S. Cutler, S. Spiegel, J. Blacklock, and D. Jordan, “Development of Self- Efficacy and Mindset Scales for Advanced Manufacturing and Data Sciences,” In ASEE annual conference exposition, 2022.[28] E. Muraki, “INFORMATION FUNCTIONS OF THE GENERALIZED PARTIAL CREDIT MODEL,” ETS Research Report Series, vol. 1993, no. 1, Jun. 1993, doi: 10.1002/j.2333-8504.1993.tb01538.x.[29] G. N. Masters, “A rasch model for partial credit scoring,” Psychometrika, vol. 47, no. 2, pp. 149–174, Jun. 1982, doi: 10.1007
employees that are not taught in traditional curricula. ● A new employee with skills gained in the academic makerspace setting is generally able to learn and adapt more quickly to the work environment than employees without this experience. ● New employees with makerspace experience will advance more rapidly than equivalent employees without this experience.To explore these hypotheses, we will conduct two major activities to identify and apply relevantmetrics to capture the impact of makerspaces and then convert those learnings into tools thatstakeholders can use for their own benefit.Activity 1:Identify metrics that reflect the career impact of Makerspace experiences.We are applying a qualitative research approach to gather
, Reno. Hank’s research interests include sense of belonging, identity formation, STEM identity, and retention of first-generation college students.Danxu Wang, University of Nevada, Las VegasDr. Emma Regentova, University of Nevada, Las VegasProf. Venkatesan Muthukumar, University of Nevada, Las Vegas Muthukumar is a Professor at University of Nevada Las Vegas, Dept. of Electrical and Computer Engineering, Entertainment Engineering, and Member of Transportation Research Center (TRC). He has over 24 year of teaching and research experience in the field of Embedded Systems. Some of his specific research areas and applications include: Design and Testing of Real-time embedded Systems (RTES), Autonomous navigation and
) CHEM 103 (1 SCH)First Year seminar General chemistry labYear 1 of the SUCCESS Scholars ProgramThe NSF-funded SUCCESS Scholars Program (SSP) was established to provide academicsupport, financial assistance, community-building, and career development to first-yearengineering students from low-income backgrounds. Spanning five years, the initiative offersfour years of support to two cohorts of incoming first-year students, with cohort 1 and cohort 2starting in Fall 2022 and Fall 2023, respectively. This paper focuses on the first year of the firstcohort over the 2022-2023 academic year.The SSP was promoted during the summer orientation sessions in 2022. Students were invited tocomplete an interest survey which granted permission
model generalization using repeated stratified 3-fold cross-validation [19]with 10 repetitions, and report the average generalization accuracy over the folds. For more robustestimates, we required that each fold contained at least 5 examples with each label. Values of Lfor which this was violated were excluded from the analysis, leaving only L ≤ 21, which is whywe limited the timing-based features to 21 also. We calculated raw test accuracy (percentage ofcorrectly predicted labels) as well as balanced test accuracy [20], which accounts for the unequalnumber of 0 and 1 labels in the data. We used default hyperparameter settings for the SVC, exceptthat number of training iterations was increased to 20K for cursor-based features and 100K fortiming
that require interdisciplinaryexpertise in technical disciplines, the social sciences, and art. One frequent example is in theatredesign and production [8], [9], [10], [11]. Technological advances such as 3D printing of materialslike glass or concrete have uses in design, construction, and manufacturing, but can also be utilizedto create beautiful works of art [12], [13]. All of these experiences require artists to work closelywith engineers and technicians. Additionally, new digital technologies such as NFT (nonfungibletokens) art forms and artificial intelligence generators merge technology with art which may haveinteresting, and perhaps concerning, economic and educational consequences [14]. All of theseareas are ripe for exploration in
SketchTivity?A Drawing Self-Efficacy Instrument was used to measure the pre and post self-efficacy of studentswho practiced using SketchTivity[25]. The instrument consisted of 13 items and the average ofdrawing self-efficacy score was calculated for each student.B. ParticipantsThe participants in this study consisted of undergraduate and graduate students enrolled in fourcourses at three different institutions. Out of a total of 138 students enrolled in three courses atthree institutions, 137 students responded to Q1 and Q2; 109, 88, and 65 participants respondedTable 1: Demographics of the participants Participant demographcis Percentage Men 76.09% Women 18.84% First-generation 10.14
various constructs, prior to individual reflections, a studio or cohort-based communityactivity will enable students to be aware of others’ perceptions of professional identity [56],disciplinary expectations [43], and socio-technical skills, for example, empathy in design [57], asthey relate to their profession. The document generated in these studios will be available to theentire class as a resource to make deeper connections to the concepts of concern duringindividual reflection. Figure 1: Conceptual framework for reflective assignments6.0 Conclusion and Next StepsThematic analysis of instructors, alumni interviews and student focus groups revealed complexrelationships between curriculum factors and design course motivations
gelatinbioadhesives over different drying times. Graphs were created live during the activity usingstudent-generated data.Table 1. Pre/post-test questions to assess technical knowledge. Question Question Answer Number TQ1 What is a bioadhesive? Keywords: tissue, sealant, wound healing, glue TQ2 How does a bioadhesive work? A. Mechanical interlocking B. Chemical bonding C. Both A and B D. None of these TQ3 Name a bioadhesive glue
sites. Archivesof General Psychiatry, 41, 949-958.[17] Sapp, M., Durand, H., Farrell, W. Measures of actual test anxiety in educationally andeconomically disadvantaged students. College Student Journal, 29, 65-72. 1995.[18] Sapp, M., Farrell, W., Durand, H. The effect of mathematics, reading, and writing tests inproducing worry and emotionally test anxiety with economically and educationally disadvantagedcollege students. College Student Journal, 29, 122-125.[19] Schneider, L. Perceived stress among engineering students. 2007.[20] Singh, I., Jha, A. Anxiety, Optimism and Academic Achievement among Students of PrivateMedical and Engineering Colleges: A Comparative Study. Journal of Education andDevelopmental Psychology. Vol. 3, No. 1. 2013.[21
solution criteria andconstraints. After this whole-class introduction, students worked in design teams consisting oftwo to four students to create a tangible design solution. In general, students used familiar craftmaterials, small electronics, robotics, or computer-aided design software to envision and buildsolutions to challenges.EOEs participated in training throughout the school year. Training was provided by the outreachprogram manager and director who have backgrounds in engineering, education, engineeringeducation, and engineering education research. Prior to their first classroom visit, EOEsparticipated in 5-10 hours of training, which served to (1) orient EOEs to the goal of the outreachprogram (i.e., engaging students in open-ended
/ Bro Lab Series 1 Introduction to the Capabilities of Zeek 2 An Overview of Zeek Logs 3 Parsing, Reading and Organizing Zeek Files 4 Generating, Capturing and Analyzing Network Scanner Traffic 5 Generation, Capturing and Analyzing DoS and DDoS-centric Network Traffic 6 Introduction to Zeek Scripting 7 Advanced Zeek Scripting for Anomaly and Malicious Event Detection 8 Preprocessing of Zeek Output Logs for Machine Learning 9 Developing Machine Learning Classifiers for Anomaly Inference and Classification 10 Profiling and Performance Metrics of ZeekThe Network Tools and Protocols Lab Series. This lab series was developed using a single
exploited in the design and construction of authentic problem-based projects related to understand. Demonstrations and Evaluations: Under this focus area, performers were asked to develop a demonstration and test plan that allows for the evaluation of the methods, tools and materials being developed in Focus Areas 1, 2, and 3. The demonstrations were to be carried out at a defense training facility and/or a civilian training facility (e.g., vocational technical school) and/or a non-traditional learning environment (e.g., a Makerspace).CurriculumThe curriculum is divided into two main sections: 1) electromechanical systems-specific moduleswhich taught core concepts, and 2) quadcopter kit-specific modules which taught how to use
currentlearning and future application. Introducing children to valuable STEM experiences, startingat a young age, has been shown to improve science literacy, promote critical thinking,develop problem solvers, and empower the next generation of innovators, creating newoutcomes that strengthen the economy [1]. Not all countries, however, acknowledge the need for STEM education. For example,although Kuwait, a small country in western Asia, ranks 57th (of 189 countries) on theHuman Development Index (HDI), with a score of 0.808 (or very high human development),the country ranks among the lowest in human development for Arabic/Persian Gulf countries[2]. CS curriculum in Kuwaiti K–12 public schools fails to prepare students for the 21stcentury
frustrated as they do not intuitively grab some of concepts, and miss the “aha” moment.Therefore, instructors must modify their teaching approach to first introduce the concept in aclear, easy to understand way, and only later delve into the textbook math. Many books have been written on the subject of Probability and Statistics. Mosttextbooks, for example [1], generally jump straight into the mathematics. Other books, thoughusually not textbooks, try to introduce Statistics in a visual way. For example, [2] uses comics asan approach to teaching the subject, which helps visual students understand the basic ideas, and[3] gives several visual examples from real life while clearly explaining mathematics to generalaudiences. [4] and [5] also
engineering programs [1]. While there are several models for thecapstone experience, each tailored to the institutional and program goals of a specific program,most are project-based, and introduce or reinforce the engineering design process and activities[2] - [4]. In general, the capstone engineering design course emphasizes innovation through teamproject-based learning.The capstone design course in the United States Air Force Academy’s (USAFA) Department ofEngineering Mechanics employs a multi-step design process which has been created specificallyto facilitate maximum innovation: 1) Project definition and background research, 2) Customerneeds analysis, 3) Functional description, 4) Ideation, 5) Concept selection, 6) Analysis andmodeling, 7) Risk
their 2005 paper Feisel and Rosa outlined fundamental objectives for engineering laboratories.These objectives include: proficiency in the use of instrumentation, the ability to compare theoryand real world behavior, proficiency in developing experiments, data analysis abilities, designabilities, the ability to learn from failure, creativity in developing solutions, the ability to chooseand use appropriate engineering tools, the ability to consider safety issues in experimentation,proficiency in technical communication, teamwork ability, the ability to perform researchethically, and the ability to gather information and use it to make justified engineeringdecisions.[1] In order for a laboratory experience to satisfy these objectives
project over the past 7years and was used by at least 8 different faculty members.Project DescriptionInitially the project was developed to have students design and build a fully functional small-scale prototype of a renewable energy power plant (producing on the order of 1-100 mW ofelectrical power) for a fictional town. The stated goal was simply to generate as much energy aspossible for as little cost as possible. A platform was built (seen in Figure 1) that contained twolight bulbs that were pointed in different areas to simulate a variable solar intensity, a fan tosimulate wind over the city, and a pump and piping system used to create a waterfall resourcethat could be harnessed. They were given a 1 ft x 1 ft piece of ⅝” thick plywood to