print some of the slides larger than the rest. 2. Line thicknesses appropriate for a projection screen were too thick on the printed page, so graphs and engineering diagrams looked like cartoons. These lines should be thinner because 1200 dpi laser printing can resolve much finer detail than a standard LCD projector. Slides are designed to be legible from the back of a lecture hall, whereas handouts are designed to be legible from half an arm’s length. 3. Colors did not always translate well into contrasting gray levels. A case in point: the center left slide in Figure 1. In the original slide, yellow “Oil” and “Screen” labels contrast well with the red oil in the tank; in the black-and-white laserprinted handout
) Advanced Manufacturing ProgramGeneral Education Requirements 22 credit hrsSupporting Fields for Machining Technology Print Reading Sketching 3 hours Basic Metallurgy 3 hours Math for Manufacturing 3 hours Advanced Manufacturing Project 3 hours 12 credit hrsManual Machining requirements Machining I 3 hours Machining II 3 hours 6 credit hrs2D and
aredeveloped for various types of springs. There may be a rudimentary exposure to physical springsin a mechanical engineering laboratory; more often, springs are passed around in class and usedas part of demonstrations.Discovery Learning The term "discovery learning" covers a variety of instructional techniques, such as active,cooperative, collaborative, project-based, and inductive learning. In these student-centered peda-gogical methods, the focus of activity is shifted from the teacher to the learner. The student is notprovided with an exact answer or a specified approach but with the materials and resources thatcan be used to find the answer independently. In the context of a laboratory setting, discoverylearning takes place when a challenge is
Assistant Professor, Department of Industrial En- gineering Sept 2010 - present Center Associate Director of Operations, Engineering Education Research Center Jan 2011- Sept 2013 Visiting Assistant Professor Sept 2008 – Sept 2011 Graduate Research Assis- tant Sept 2002 – Sept 2008 Port Authority of Allegheny County, Pittsburgh, PA Project Manager/Planning Department Aug 1992- Oct 1994 University of Delaware, Delaware Transportation Center, Newark, DE Graduate Research Assistant Aug 1990 - May 1992 University of Novi Sad, Institute for Traffic and Transportation Eng., Serbia Research Associate /Lecturer Aug 1987 – Aug 1990 Selected Publications • Bursic K., Vidic N., Yildrim T. P., Besterfield-Sacre M., Shuman L., (2013
(exchange student from Mexico). Unfortunately, a pre-test at the beginning ofthe semester was not taken, so it is a little hard to make a comparison. However, this survey wasdone in the 2009 and 2011, and the class average post-test scores were 15.1 and 21.1,respectively. The average in 2013 is much higher than the result in 2009, but a little lower thanthe result in 2011. The pre-test average scores in 2009 and 2011 are 10.6 and 12.7, respectively.Even if the higher score is used as the projected pre-test score, there is a significant increase inthe average, which indicates that students did make substantial progress in conceptualunderstanding. As this course is offered every other year, the survey results in even years are notavailable
Page 24.1292.2University [5], over a span of fifteen years (1978-1993) approximately 36% of the enteringengineering students failed to complete the freshman requirements and thus did not transfer intoone of the professional schools of engineering. Interviews with these students indicated that themain reason for leaving engineering was difficulty with calculus, chemistry, or physics. Detailsare not discussed as to why students found these topics difficult.Traditional assessment tools, such as homework, projects, and exams have been developed to teststudents’ grasp of and ability to apply new concepts [6]. However, they do not always reveal theviewing strategies used by students during problem solving. It is difficult for teachers andevaluators
patterns would be appropriate for a senior design course. Page 24.1299.5AssessmentWe have only started testing the idea of digital design patterns in our courses, and any results arepreliminary. We have two assessment measures at this point. One is indirect, and is the difficultyof the capstone project in a course on hardware description languages. Most students were ableto design and test a craps game simulator on an FPGA-based educational development board.The design included the user interface, the rules implementation and the random numbergenerators. Students implemented a small package of their own with some design patterns, andwere asked
courses with asignificant amount of design and team project work include subsections of the course shell thatprovide access-controlled, group project collaboration and presentation functions.Study DesignIn this study three face-to-face courses in the Department of Mechanical and AerospaceEngineering with varying levels of additional online content were assessed over a three yearperiod beginning in the winter quarter of 2011 and ending in the winter of 2013. Each course is10 weeks in length and each carries 4 units or credit. The courses meet from between 3-4 hoursof lecture per week and each requires students to attend at least one 1-hour discussion per weekusually taught by graduate student teaching assistants. The courses varied in size between
authentic engineering projects. Engineering curricula andteaching methods are often not well aligned with these goals”. Also, in a recent article thataddresses the challenges of diffusing engineering education innovations, Borrego3 states that“despite decades of effort focused on improvement of engineering education, many recentadvances have not resulted in systemic change”. In addition, the Research Council of theNational Academies’ report on transforming STEM education4 states that support is required toimplement “innovative SME&T course development that exceeds substantially the normalcourse preparation commitment“. It also states: “The authoring committee recognizes thatimplementing the visions of this report could require new funds or
example, identifies theimportance of ensuring that the context in which knowledge is gained matches the context inwhich the knowledge will be applied. Problem-based learning19 promotes the adoption of large-scale, open-ended problems, which is of particular importance in the context of softwareengineering education14, as it has helped give rise to the increasingly ubiquitous adoption of real-world, long-term projects in computer science and software engineering curricular programs andmotivates the importance of architectural-style learning as a pathway to better prepare studentsfor the design problems these projects entail.The idea of increasing learner engagement with the material, which our approach pursues, is alsoimportant in the context of
) 1. Lift on a Quonset Hut Design Aerodynamic Design 2. Drag effect on Shotgun BB shot Boundary Layer Flow (Handout) 3. Final Project: Bicycle Potential Flow (Handout) Aerohelmet Design/Construction Flow over a Flat Plate Bicycle Aerodynamics (Handout) IV: External Forced Convection: Flat Plate Design of a Heat Sink Convection Natural Convection V: Internal Flow Laminar/Turbulent Pipe Flow 1. Drain Cleaning Robot Flow and Heat Transfer Pipe Networks and Pumps Analysis Thermal Pipe Flow 2
800,000 new engineers will be needed by 2018; however, the U.S.currently graduates only one-fourth of that number. Women and minorities are potentialprospects for meeting this need because they are projected to fill approximately 70 percent of thejob market at that time. However, they currently compose only 20 percent of the existing STEMrelated job market. Consequently, it is critical for the American higher education system to Page 23.1206.3provide sufficient training to fill technical skills gaps in all students, particularly those within thegrowing populations of minority and older workers.6Nontraditional students often lack the most
semester, the studentscompleted a 12 day field experience in Guatemala, which allowed them to investigate healthcarein the region through visits to medical facilities. During these visits, the students completed aneeds assessment for the healthcare facilities, with the eventual goal of developing projects to beimplemented through the engineering senior design curriculum. Upon finishing the fieldexperience, the students completed a post-course survey that was designed to measure theirinterests and attitudes regarding global health issues. When compared with responses on a pre-course survey, the findings showed that the course and field experience resulted in increasedstudent knowledge in global health issues, confidence in developing solutions to
examples of LLMs as teaching toolsinclude: • Ask for a lecture session (or semester) plan for a given topic o Topics, assignments, project, exam questions • Let the tool generate explanations of the concepts in varying levels of detail o Ask for examples, formal definition, humorous analogies, references, questions • Ask the tool to generate a quiz o Ask for the types of question you prefer o Evaluate for accuracy; modify to suit your purposeEmpowering Faculty and Students: Key Skills for Harnessing GAIUtilizing LLMs effectively demands a set of key skills that empower both educators andstudents to engage with these tools in meaningful ways. Problem formulation isfoundational, requiring clear
an individual homework assignment after thelaboratory. During the discussion period, the students worked in groups of 5-7 students on threegroup projects. In the course, the first half of the semester is focused on programming Arduinomicrocontrollers in C++ and the second half of the semester is focused on programming in theMatlab programming platform.For the weekly homework assignments, generative AI was identified as a threat to student learning.Using the homework prompts in January 2023, it was found that ChatGPT could generate nearperfect code for many of the homework assignments in both C++ and Matlab. While the solutions © American Society for Engineering Education, 2023 2023 ASEE
to derive a new variable, “Enroll Status.” This new variable represents a student'senrollment status for each semester from the beginning to the end, with the exit status of either“dropout” or “graduate.” In this study, “dropout,” “stop out,” and “graduate” are grouped as“not_enrolled” because the goal of the project is to predict if a student will enroll next semester.This simplifies the problem into binary classification tasks. The texts in the “Semester” columnwere converted to timestamps, and the “Student ID” column is treated as item ID for panel data.To ensure a constant frequency of timestamps, the data were resampled to include all spring andfall semesters from Fall 2002 to Spring 2024 (Figure 1). Figure 1: A sample student
figure out the entire process, setup, and usage bythemselves or through third-party online materials without any proper guidance. Additionally,kits would benefit from added reconfigurability in their design. Such reconfigurability iscurrently absent in many of the designs, meaning the setup can be assembled and used for onlyone type of activity. Having the option for reconfigurability would allow the users or students tobuild different types of robots or robotic systems, think creatively, build a better understanding ofconcepts, work on multiple projects, and retain their interest in the kit and the idea of robotics.Our work focused on developing a cost-effective solution (~$60) that can foster essential skills inSTEM through interaction with
education to the rural schools, which is seen as a persistent CSeducational challenge [18].Access to computer science education is less prevalent in schools in the rural areas comparedto their more urbanized counterparts [19]. Although Broadening Participation in Computing(BPC) education projects have been effectively implemented in some states in the UnitedStates of America, such as Maryland [20], California [21], and Utah [22], rural schools are notstill within sufficient reach largely due to their geographical disadvantages [23]. An attemptto identify the implementation challenges for a new computer science curriculum in ruralwestern regions of the United States also revealed that the concept of computational thinkingand coding were foreign to
[8] within a regular course setting. Noexperimental treatment was applied in the research.Context and ParticipantsParticipants were recruited from two sections of an engineering technology course offered at apublic university in the southern United States. The course focused on computer networking forengineers, and both sections were taught by the same instructor. Experiential learning activities,including problem-solving tasks, group projects, and discussions that required experience andreflection [9], were adopted into the course.ProcedureParticipants reviewed course materials, including content areas and subtopics, to prepare forwriting a selected topic essay (a summary of the topic). The topic selection was coordinated withresearchers
Paper ID #47267Increasing Student Achievement in ECE Fundamentals Through Standards-BasedGradingDr. Barbara E. Marino, Loyola Marymount University Dr. Barbara E. Marino is an Associate Professor in the Department of Electrical and Computer Engineering at Loyola Marymount University. Dr. Marino received the B.S.E.E. degree from Marquette University and the M.S. and Ph.D. degrees in electrical engineering from the University of Notre Dame. Dr. Marino has many years of industry experience including work at the Naval Research Laboratory in Washington, D.C. on projects related to military ID systems and work at the Jet Propulsion
a unit process and materials balance approach.Environmental topics explored include water transport and quality, drinking water treatment,wastewater treatment, and air pollution transport, quality and control. Due to the high studentenrollment, between four and six faculty teach the course each year. There are 40 lessons in thecourse, including 27 substantive lessons, 2 laboratories, 3 exams, 2 field trips, and 2 lessonsdesignated as engineering design project (EDP) work sessions. The two laboratories requiredgroup submissions for a jar test laboratory and a wastewater analysis laboratory. The two fieldtrips incorporated individual reflections based on a trip to the West Point water treatment plantand a trip to the West Point wastewater
the larger project: 1)How do women engineering students describe their experiences of epistemic (in)justice? and 2)How do women engineering students interpret the impact of epistemic (in)justice on their ownpersonal epistemologies in the context of or regarding the engineering field? To answer theresearch questions (RQs), we used a three-interview data collection structure [16], [35], [36]. Tounderstand the requirements for the interview protocol, we review the methodological and datacollection choices for the larger study as the background needed for the piloting phase. Then wediscuss the piloting methodology, including alterations based on time and resource restrictionsand study-specific needs to refine and solidify the data collection
in comparisonto traditional lecture?To address this gap, the teaching team implemented a module using 20 borrowed Quest 1 VRheadsets. During the module, students explored and reflected upon the challenges of VRadoption in education. After students completed an initial onboarding, each week focused on adifferent learning topic. In Week 1, students explored the Iceberg Model, followed by Creativityand Innovation in Immersive Technology in Week 2. In Week 3, the module concluded withGamification for Increased Quality and Productivity. After the three weeks of topics (exploredvia VR and lecture), the final week was a project week. Students received traditional PowerPointlectures and immersive VR experiences for each topic, enabling them to
Neurodivergent and Neurotypical Learners in Higher EducationIntroductionIn this work in progress, we share an analysis of interviews with faculty, staff, and administratorsin STEM-affiliated departments (Science, Technology, Engineering, and Mathematics) andpositions at an R1 institution in the southeastern US related to their knowledge and experiencesof neurodiversity. This study is part of an ongoing look into neurodiversity in STEM majors via acourse-based undergraduate research project with the goal of better understanding the uniquechallenges that neurodivergent learners face in academic institutions.Neurodivergent individuals are classified as people with different strengths and weaknesses based on brain differences that affect the brain's
Paper ID #49614Work In Progress: Gamified Escape Rooms for StaticsDr. Seyed Mohammad Seyed Ardakani P.E., Ohio Northern University Dr. Ardakani is an Associate Professor of Civil Engineering at Ohio Northern University. He has previously served as a Project Engineer at Englekirk Structural Engineers and a Lecturer at South Dakota State University. He obtained his Ph.D. in Civil Engineering from the University of Nevada, Reno. His research interests include engineering education, seismic performance and design of reinforced concrete structures, and computational modeling of structures. He received the 2020-21 Professor Henry
Transfer, Thermal-Stress, and optimization.• All course material including lectures, labs, homework assignment, exams and projects are designed by faculty and are available to students through Blackboard, Wentworth’s online learning platform.IV. Course LayoutThis required (vs. elective) four credit hour course is offered in the last semester of the BMETprogram. Faculty have the option of scheduling two one hour lectures or one two hour lecture perweek. There are also two lab sessions, two hours each per week. Although the lectures and labsare designated as such, the distinction between lecture and lab at times is blurred since allstudents have laptops (Wentworth Laptop Program/Wireless Campus). The authors routinelycover lecture
are provided a more engaging experience. Moreover,practicing engineers interact with large web-accessible databases for an increasingnumber of activities directly related to their engineering projects. Examples includedatabases related to patents, journal articles, genomic sequences, protein structure, ortables of empirically measured values. Leading students through structured experienceswith such databases develops skills essential for productive utilization and work. Wehave selected and utilized web sites to be used as part of assignments for a biomedicalengineering course in physiology. One module for this course utilized a web site thatexplained aspects of neural signaling using animations, artwork and text. Anothermodule utilized web
greateramong which, we are particularly the technique proposed by than 95, and in cloud-shadow area its value of TM band 4Meng et al. [1]. The method is called closest spectral fit, or would be less than 55. Particularly, the ration of band 4 toCSF. band 3 can tell if it is in a water area with a cloud shadow. We devise an algorithm detecting CCS as the following. II. OUR PROJECT Algorithm 1: Detect clouds and cloud shadowsA. Closest Spectral Fit (psudocode) At the same spot yet different times, the
friction factorwith hand valves and now are using digital signal controlled solenoid valves. Dataacquisition includes pressure drop and flow. The design for this project includedselection of the proper devices for the correct range of variables. Our second examplewas a laboratory cooling tower used to cool hot water with ambient air. Similar conceptswere introduced for this experiment. Our intentions are to automate other seniorlaboratory experiments. Each of these labs lasts 4-6 3 hour sessions (up to two weeks).To help prepare the students for these experiments we may give mini-lectures or havediscussions with the teams.In addition to the below listed experiments the students may spend time on a largedistillation column or a dual stage