in enhancing students’ learning and retention.Interaction with instructors and active discussion among students were shown to improvestudents' learning and satisfaction [1]. Various strategies for achieving student engagement in theclassroom were prescribed over the years. Integrating active learning tasks and fostering apersonal connection with students in addition to facilitating the process of learning [1] wererecommended to enhance student engagement in online environment. However, implementingthese techniques is challenging in an online modality, particularly for a class with highenrollment.Making large class seems small [2] is one of the key concepts of our transition in direction usingeffective classroom skills. Having an interactive
since they help with evaluation and help withstudent learning. Exams allow instructors to gauge whether students understand the material andwhether the learning outcomes of the course are being met. If the exam is earlier in the semester,for example a midterm exam vs. a final exam, the students’ performance on the exam can alsosignal to the instructor any key topics that need more attention before moving on to other topicsin the course. Exams also motivate students to study [1] and to learn. Several studies [2], [3], [4]have shown that when students prepare for, and then take an exam, particularly an in-personexam, their learning can improve. The exam preparation helps students practice skills andknowing that there is an upcoming exam forces
point, and some course tweaks have been instituted.We are sharing with reader what we have been able to do and how our students have reacted.What worked well, what could be improved further, and why, are then discussed in this paper.Introduction: Civil Engineering Materials (C.E.Materials) is a largely content intensive course. Thiscourse involves study of elemental and behavioral properties of iron, steel, aluminum,aggregate, cement, concrete, asphalt, plastics, and polymer composites, and fiber reinforcedconcrete. The primary reference used in this course was by Mamlouk and Zaniewski [1] withsupplements from Domone and Illston [2]and Callister [3] In recognition of the content intensiveness of our C.E.Materials course, the
, students needed to both complete the challenge task and describe the associatedbiomechanics associated with the task. Examples of challenges included hitting targets in 3Dspace, designing a wearable exoskeletal device to add functionality to the robot platform, orparticipating in a limbo contest to demonstrate balance. Student responses to the challengeswere favorable and suggest that the Mini humanoid platform can be used as a relatively low-cost,engaging means of reinforcing key multidisciplinary course concepts.1. IntroductionBiomechatronics is a multidisciplinary field that combines multiple engineering and biologicaldisciplines and plays an integral role of the development of electromechanical devices fortherapeutic, assistive or diagnostic
benefit most fromdirect, hands-on engagement with materials that align with their developmental stage [4].Constructivist theories of learning emphasize that when students manipulate physical objects,they develop meaningful understandings that enable them to construct knowledge throughpractice [7]. While tools such as Snap Circuits [8] and LittleBits [9] have made progress insimplifying circuit education, they often target older students with more developed fine motorskills and abstract reasoning abilities. Paper circuits, which use conductive tape and printedcircuit templates, have been explored as an alternative for younger learners, but issues related tomaterial fragility and precise handling remain prevalent [1].To address these challenges, we
accessible education.BEYOND AFFIRMATIVE ACTION…/ROSE 9 ReferencesBennett, C. T. (2022). Untested Admissions: Examining Changes in Application Behaviors and Student Demographics Under Test-Optional Policies. American Educational Research Journal, 59(1), 180–216. https://doi.org/10.3102/00028312211003526.Cai, Y., & Mehari, Y. (2015). The use of institutional theory in higher education research. Theory and Method in Higher Education Research, 1, 1–25. Retrieved October 31, 2024, from https://doi.org/10.1108/S2-56-3752201150000001001.Ford, J. R., Wallace, J. K., Gillam, D. A., & Matthews, D. Y. (2023). Race based
complex parts very efficiently, and the processhas a high rate of repeatability. This allows industries, specifically aerospace, to produce high-precision components with tight tolerances. The ability to consistently meet these tight tolerancesis essential, as even the smallest deviation can compromise the functionality and safety of criticalparts, such as engine components or structural elements of an aircraft. Processing quality is still the primary concern for both the manufacturer and thecustomer, as a machining center with high process capability can manufacture products of ahigher quality with lower losses [1]. By minimizing defects and maintaining consistency,companies can reduce the need for rework or scrap, which lowers
practice.Theme 1: Training in ethics and equity during school is highly variable and could do moreto prepare students for workEarly career engineers described various ways in which they were introduced to ethics and equityduring their engineering education. Some participants recounted exposure to ethics throughtechnical engineering courses and capstone projects, while others stated that ethics and equitywere largely absent from their formal training.Jade and Bob recalled learning about ethics during their senior-year capstone projects. Jadeshared that. At (university name) …, my teacher for one of our senior year capstone project classes, put a really big emphasis that you as an engineer and especially as you work your way up, have a
this specific course. Note that in this paper, we will sometimes use the term“AI” to refer specifically to more advanced generative chatbot interactions (e.g., ChatGPT),whereas “LLM” denotes more direct interactions with the underlying large language model, suchas through an OpenAI Assistant or OpenWebUI model.Concept inventories (CIs) have been widely used as diagnostic tools to assess studentcomprehension of key topics 1 and evaluate the effectiveness of instructional interventions 2 .These standardized tests consist of carefully designed multiple-choice questions that targetspecific misconceptions, and they have been administered across high schools, colleges, anduniversities 3 . One issue with multiple-choice question based CIs is the
indicate that individualinstructors can significantly impact the teamwork experiences of first-year female engineeringstudents. Instructors should consider these findings and how their practices might be impactful infacilitating teamwork.IntroductionEngineering is still working to achieve increased representation of women. This involvescapturing student interest to enroll in engineering in college and persist to graduation, as well asrecruiting students to switch into engineering majors. It is important for student success, well-being, and retention for engineering students to get off to a strong start in their first semester ofcollege, given that many students switch out of engineering during their first year [1]. Factorsshown to influence the
Remmen, 2022). Using these methods, the researchers soughtto deepen the discussion on implementing real-world problem-solving projects by professorsacross a variety of contexts. Approval of all protocols for human subject research was granted bythe Central Department of Energy Institutional Review Board under application DOE000938.For this study, we collected data in one-on-one open-ended interviews with seven professors.Participants represented a blend of Research 1 or Research 2 institutions, though interviewrequests were sent to professors from all institutional classifications. Over 40% of intervieweeswere in their second or third year of the competition, whereas the remainder were eitherparticipating for the first time or had participated
1 Student Insights on an Interdisciplinary Engineering Capstone Project with a Clear Client-Customer Relationship [Author Names]Abstract: Engineering baccalaureate programs often require a senior project (capstone) courseintended to enable students to apply theoretical knowledge they have gained in their program to arealistic engineering task to prepare them to join the workforce. While this approach is common,organizational and pedagogical details vary significantly between programs and schools. Thispaper discusses an implementation of an interdisciplinary project that was
1 Mixed Methods Assessment of First-Year Bridge Program at “Western Teaching University” Randy Hurd, Sulabh Khadka & Dustin GroteAbstract: A first-year summer bridge program was created at a western teaching university in2024 to improve the transition from high school to university STEM programs for students fromhistorically underrepresented demographics. Several measurable goals were created to guide thedesign and iterative improvement of the program. These goals focused on: completion rates,students’ sense of belonging, confidence, awareness of on-campus resources, and awareness
as entropy. This shows that the majority of the class may be reached using this methodwhile allowing for more specific tools to be used for the rest. 1. Introduction As a disclaimer and assurance of the validity of this study, one must have anunderstanding of Maslow’s Hierarchy of Needs. This theory is a model for the motivators of astudent. The Hierarchy is applied in such a way that if one’s more basic needs are not met, theless basic needs cannot and will not be fulfilled. Education does fit into this model and isrelatively high on Maslow’s Pyramid. Figure 1: Maslow's Hierarchy of Needs1 The pyramid’s foundation is physiological needs. These call for homeostasis and a foodsupply. The next
can be set up to view the eFolios with permission. A Digication template was made for the course as an example scaffold for students. The template included a home section to serve as a welcome page, a biography section for their own biography as well as for team members, a ‘journey’ section for their individual project contributions, a team documentation section for all team related/contributed documentation, a reflections section for assigned reflective pieces, and a final project section to serve as a repository for their final project documentation. A screenshot of the template portfolio is given in Figure 1 where the different sections can be seen at the top menu ribbon. Template text and/or examples were added in all sections to
experience tools and ServQual.The proposed Toolkit is developed through the following five stages: 1) collect voice ofcustomer (VOC) and voice of process (VOP); 2) analyze the information; 3) recommendactions; 4) identify and classify projects; 5) prioritize. The recognition phase is based ontwo dimensions: a) service quality; and c) customer experience.The toolkit developed provides a framework that incorporates customer experience tools towiden the application of six sigma in service industries. The framework and toolkit weretested in the International Lean Six Sigma ITESM-BMGI Certification Program. Theresults of its application are presented and discussed and future work is proposed.Keywords: Six Sigma, ServQual, Customer Experience, VOC
setting of abstract algebra, the theory is presentedhere in a less general but more accessible manner. We also introduce some new concepts andconstructs that increase its utility and pedagogical value. These include relation diagrams (thecounterpart of traditional block diagrams) and impedance relations. Examples illustrateapplications of the theory and its potential benefits for engineering education.1 IntroductionEngineers use problem solving to invent, design, build, and improve structures, machines,devices, systems materials, and processes. Thus, a central goal of engineering education is todevelop the problem solving abilities of students. Since mathematics is the basis for modeling,reasoning, and communicating solutions of technical
either enrolled or recentlycompleted (i.e. 1 week after the course completion) a Numerical Methods or Analysis course at alarge Midwest university during a particular semester in the United States. Each participant wasasked to complete a questionnaire consisting of calculus concept questions and interviewed forfurther investigation of the written responses to the questionnaire. The research question isdesigned to understand students’ ability to apply Riemann’s limit-sum definition to calculate thedefinite integral of a specific function. Qualitative (participants’ interview responses) andquantitative (statistics used after applying APOS theory) results are presented in this work by usingthe written questionnaire and video recorded interview
Paper ID #15725Value of Student Resources in Materials Science and Biomedical EngineeringCoursesMr. Aldin Malkoc, Arizona State University Aldin Malkoc, BSE is a student in the Barrett Honors College and School of Biological and Health Systems Engineering at Arizona State University. Aldin is enrolled in the 4+1 program to receive his Bachelor’s in Engineering Science in Biomedical Engineering from Arizona State University in 2016 and his Master’s Degree in Biomedical Engineering from Arizona State University in 2017. The primary focus in his master’s thesis will pertain to the study of nanoparticles in biosensor
seeks to provide insights into what motivates these individuals to remain employed at asingle workplace for over three years or to leave within the first year. The research utilizedsurvey responses from two cohorts of international graduate students, collected in Fall 2023(referred to as Cohort 1) and Spring 2024 (referred to as Cohort 2). A total of 50 participants (25from each cohort) completed questionnaires addressing two key topics: (a) factors that wouldencourage them to stay with the same organization for more than three years, and (b) factors thatwould lead them to leave within one year of employment. The collected data was categorizedinto different tables by counting the occurrences of each factor. This data was then plotted
Session ETD 421 The IACEE 17th World Conference on Continuing Engineering Education IACEE 2020 26 - 29 May 2020Key DatesAbstract submission: October 1, 2019Conference registration: December 1, 2019Full Paper submission: December 22, 2019 Conference ThemesWelcome to Sustainability Innovation Diversity & InclusionTrondheim
, all engineering programs requesting accreditation for the first time or seeking re-accreditation by Engineering Accreditation Commission (EAC) of ABET must demonstrate thatprogram meets a set of criteria that include both the general criteria for baccalaureate andassociate degree programs and the program criteria required by the program lead society (e.g.,ASCE, IEEE, ASME) [1]. The programs must also meet all the requirements listed in theAccreditation-Policy-and-Procedure-Manual of ABET [2]. The general criteria consists of eight(8) components: (1) students, (2) Program Educational Objectives (PEO), (3) Student Outcomes(SO) (4) Continuous Improvement, (5) Curriculum, (6) Faculty, (7) Facilities, and (8)Institutional Support and Financial
intuitive explanations that can help instructors and students tobetter understand topics in digital control systems. For clarification purposes, some explanationsrefer to existing textbook material.In order to explore the validity and usefulness of the new approach, a 40-minute presentationusing visualization techniques was given to a Control Systems class followed by a questionnaire.Answers are based on a scale of “1” to “5,” “5” being strongly agree, “3” neutral, and “1”strongly disagree. The following is a brief summary of the results based on 20 responses: 50% ofthe students agreed and 30% strongly agreed that they better understand how a controller inhardware translates to software code. 55% strongly agree and 40% agree that
the capability of an existing project selectionalgorithm developed by Kirkwood 1. This framework utilizes a user-defined objective andconstraints that can be solved using mixed-integer linear programming methods, and iscurrently run on a web-based optimization server such that the user does not need their ownoptimization software capability to perform team selection. Future work will include thedevelopment of a local optimization environment, such that the team selection software isstandalone.This work also seeks to expand on the existing Comprehensive Assessment for Team- Page 26.273.2Member Effectiveness (CATME) system 2 – an online tool that
Engineering Students using Purdue University’s New “Bottom-Up” ApproachIntroduction Historically, undergraduate Electrical Engineering (EE) programs have taught electronicconduction phenomena using a “Top-Down” approach. That is, traditional programs start withlarge devices (i.e., “Top”) and teach how interesting electronic conduction phenomena change asthe size of the device decreases towards the nano-scale (i.e., “Down”). So, for example, if oneconsiders a normal three-dimensional (3-D) macroscopic resistor, as shown in Figure 1 on theleft, where diffusive transport due to electron scattering is dominant, students are taught that theresistance is calculated as R=L/(σA), where L, A, and σ are the resistor’s length
survey would have identified the areas where they have hadsubstantial benefits and where improvements could be made. However this has not beendone. This hindsight led to the development of a questionnaire that could be used in thefuture.1.IntroductionWhetton [1] rightly states that most important professing of a professor, involves histhoughtful choice of reading materials, assignments, activities and most of all learningobjectives. This is even more pronounced when the instructor has to choose few experimentsand a project from a wide variety of mechanical engineering applications. The choice has tobe further developed to meet the learning outcomes called the student outcomes defined byABET [2]. Outcomes are descriptions of the end product of
increase students’ success, persistence and engagement wasintroduced into our department with an NSF funded project to adapt and augment the TekBoT®mobile robot platform developed at Oregon State University to the undergraduate curriculumfrom freshman through senior year in a vertically integrated manner. 1 By the end of this verticalarticulation project spanning 2005 – 2008, the TekBot was completely integrated into thefreshman year sequence, in one sophomore lab, and in one junior level experiment. 2 In thisproject, it was discovered that the TekBot was not well suited for the department’s upper levelclasses.2 As a result of this discovery, in 2008, a team of students and faculty came up with anew design for a brand new robot learning platform
accurately and consistently evaluating students’ modelingstrategies. Some of these methods include using concise rubrics for evaluating models 1-6,developing activities where students can evaluate their own models 7, and using automatedelectronic evaluation tools 8-9. One of the main challenges has been developing a method thatclearly informs students about how their models will be evaluated, is a valid and reliable tool forassessing design intent, and allows faculty to evaluate models in a timely and consistent manner.Rubrics have been shown to provide reliable scoring of performance and have the potential topromote learning and/or improve instruction 10. The main purpose of the rubric used forevaluating the models in this study was to create a
using a web-basedcommenting form. The number of views per project page during the review period are shown inFigures 1 and 2 for CEE549 and CEE542 respectively. As shown by this data, there wassignificant web traffic to the class projects during the review period. While only a small fractionof viewers leave review comments, the view counts indicate the sizable interest in student workby professionals. The final reports remain online and can be viewed at:http://www.geoengineer.org/education/web-based-class-projects Page 26.1206.3 1200 1000 800 Views 600 400 200 0
Digital Design and taught up to 2001, till Dr. Terence Kelly (received his doctorate under supervision of Pro- fessor Prasad) took over. From spring 1998, Professor Prasad also developed and taught 16.517, MMIC Design and Fabrication course to meet the growing demand of regional semiconductor industries. He is the recipient of Zone I best paper award by American Society of Engineering Education (ASEE) in 2008. He has been appointed as honorable member of IAAB of the MEGHE group of Institution and Shree Baba Ramdeo College of Engineering and Management (Nagpur) in India. He has also received the Best Teaching award for the New England Region, and the Best Campus award for the Zone 1 from ASEE dur- ing 2012. He is