. Page 26.456.1 c American Society for Engineering Education, 2015 Design and Implementation of an Inexpensive Laboratory for Providing Hands-on Design Prototyping and Manufacturing Experiences to Engineering StudentsAbstractThe purpose of this paper is to present the machine selection, laboratory design and layout,budget and overall safety considerations when deploying inexpensive hobby level, desktop CNCmachines in an educational setting. Our initial research involved evaluating several (1) inexpen-sive CNC machine hardware kits (ShapeOko I, ShapeOko II, Zen Toolworks and an in-housedesign), (2) CNC machine electronics (parallel and USB) and (3) software packages (for
analysis uncovers whether team memberscorrectly perceive the relationships among their teammates. These initial findings openopportunities for future work on the role social network analysis can play in the analysis ofcollaborative learning.1. IntroductionReal world engineering design problems are frequently solved by teams; therefore, as educators,we are required, both by ABET and common sense, to give students the skills and attitudes thatenable them to work effectively in teams. One of the key skills is the ability to engage incollaborative learning with team members. In the process of acquiring the knowledge necessaryto solve the design problem, collaborative learning gives students the opportunity to both learnfrom and to teach their peers
adapted by other programsas they prepare for accreditation.1. IntroductionThe Gannon University BME program has instituted a common assessment rubric for eachABET, Inc. outcome a-k adding one additional program specific outcome. It is important tonotice that ABET does not mandate a specific assessment methodology. What is presented in thisarticle is what has been effective for the institution in the last accreditation cycle. The rubricswere employed to present student learning outcomes during the Fall 2014 evaluation visit. Thesame rubric is used by each professor to assess the corresponding outcome that is pertinent to Page 26.790.2his/her course
inrelating the coordinate systems between a robot and a machine vision system.While students can utilize math software to compute robot kinematictransformations, they have problems verifying their answers. In this paper, a threedimensional vertically articulated robot is created to help students visualize thelocation and orientation of the end effector. Students can check their robotkinematic answers based on the joint encoder values set up at each joint. Inaddition, a camera is also mounted on the robot for the students to relate an objectlocation from the camera coordinate system to the robot world frame.1. IntroductionA robot is typically connected by a series of links and joints. A robot hand, or endeffector, is attached at the end of the wrist
strong science, technology, engineering, and math (STEM) workforce is essential and critical in advancing the economy and society of the future. But the U.S continues to trail the world in math and science. And also the number of U.S students pursuing a STEM career or educating is decreasing as mentioned in [1] – [3]. A change in the way math is taught and presented in the classroom is urgently needed. Instructors need to be able to engage the students in learning by communicating that the study of mathematics and its objective is not to study math for math sake but to be able to apply it as a tool to solve the world’s complex and essential problems. The topic of sustainable energy is no longer a topic reserved for scientists and
toacquire conceptual understanding of the topics taught. Consequently, a course’s assessmentshould at least in part evaluate this conceptual understanding. 1 To achieve this, there are multipleassessment methods that could be used, as for example essays or oral exams. However, many ofthese methods require a very high time investment on the part of the instructor, which is, in manycases, simply not possible. For large classes, multiple-choice tests are among the most efficienttypes of assessment. Although much care has to be taken in their development, machine-basedscoring of multiple-choice tests can significantly reduce an instructor’s work load, freeing uptime for more face to face interaction with students. However, one main point of criticism
materials under service (andsevere) conditions. The Structures and Materials Laboratory course is a 1-credit writing-intensive laboratory course taught to students pursuing undergraduate degrees in civilengineering technology and construction management. Since students previously completedcoursework in construction materials and construction methods, the purpose of this course is tofacilitate an advanced understanding of construction materials and to reinforce key structuraldesign concepts. Objectives include identifying various modes of failure as well as evaluatingthe role of materials in various modes of structural failure. For several years, a number of failurecase studies have been incorporated into the course to enhance student learning. It
of the design are a subroutine STACK and a higher capacity, 4K word by16-bit, memory (MEM). The complete data path is shown in Figure 1. STACK BUS A BUS B BUS C 12 PC IR A1 A2 1 REGS 2 2 MUX
total student population of 34,000and a Carnegie classification of “Research Universities (high research activity)”. Page 26.389.3One significant motivation for and utility of this project is to explore the utility of a conceptinventory for purposes of outcomes assessment. At Marshall University the outcomes of theengineering hydrology course in which this concept inventory was used are: 1. Application of hydrologic principles such as precipitation, evaporation, and infiltration in solving engineering analyses. 2. Conduct analysis of urban and rural watersheds using hydrographs, land use and soil type abstraction estimations
work explores the impacts the course hadon student understanding of energy issues. Both student work and student surveys wereexamined. Due to small class sizes, a more qualitative and in-depth approach was taken. Fromthis it was found that within the area of terminology, the concepts of power and energy causedsignificant issues for students. Furthermore, quantifying the impacts of technology from asustainability perspective, especially with respect to society and the environment, provedchallenging. With these specific areas identified, it will be up to future work to find mechanismsto address these pitfalls in subsequent offerings of this and other related courses.1. IntroductionEnergy conversion and other resource usage are foundational
communication skills. Future plans to evaluate theeffectiveness of the case studies in terms of learning outcomes, as well as plans to evaluate it inundergraduate architectural engineering training are also presented. 1. Introduction:Teaching a design course is challenging and differentiates from fundamental courses at different level.The fundamental courses are based on specific laws (first law of thermodynamics, heat transfer equation,radiosity technique, and so on). The textbooks usually include a large number of examples for each topic,where students use as a reference to solve their home works and exams, through memorization,understanding and application. Design courses need more analysis and evaluation, since the problems areopen-ended and
and transformations as well as global business pressures.Traditional undergraduate programs are not equipping graduates with the skills needed for thecomplex challenges of the 21st century. 1 These pressures are leading industry to ask thequestions; a) how can we partner with academia and the government to advance personalizedlearning and b) how can we leverage our investment and intellectual capital to increase thequantity/quality and knowledge transfer of the current STEM workforce, education pipeline andlabor supply?Disruptive changes: Ageing: Roughly a quarter of the nation's 637,000 aerospace workers could be eligible for retirement in 2015. 2 Globalization: Engineers work through global multidisciplinary and distributive
accumulation processes. Three categories of conceptualunderstanding are included in the RACI: (1) first order calculus, (2) mass flow, in particularwater flow, and (3) heat transfer.Pilot testing of the RACI took place in a sophomore civil and environmental engineering course.Results from pilot testing indicated the presence of persistent misconceptions among the studentsin all three categories of understanding. Student performance on the RACI went from 56% to59% after instruction. Internal consistency reliability was assessed using Cronbach’s Alpha;values were 0.77 for the entire instrument and ranged from 0.64 to 0.76 for the three conceptcategories of the RACI.Introduction Mass and energy balances are fundamental process models adopted by
Measurement, Simulation Modeling, Case Study, ProModel, Automated Guided Vehicle System, Layout DesignIntroductionA Flexible Manufacturing System (FMS) usually includes (1) workstations (such as CNCmachine centers, industrial robots, washing, and measuring machines), fixtures, tools, and otherrelated hardware, (2) a Material Handling System (MHS), (3) a computer system to control allthe manufacturing activities, and (4) operators and/or management.1 The reason an FMS is calledflexible is that it is a manufacturing system with the ability to efficiently responds to fluctuationin both products it manufactures and the demand levels for the products being produced as wellas other uncertainties such as machine downtimes, repairs, and
enroll in specialized classes of a particularengineering discipline. Further, the mechanized nature of instructional and assessment methodsin large lecture courses can decrease both satisfaction and engagement for students and facultyalike. It is thus no surprise that these fundamental mechanics courses are a major barrier forstudent persistence and success in engineering 1.In considering means of improving teaching and learning in mechanics courses, delivery methodis a common target. Halpern and Hakel 2 claim that lecture-style approaches can be “one of theworst arrangements for in-depth understanding” since “understanding is an interpretive processin which students must be active participants” (p. 40). Interventions such as increased hands
-reporting of future plans, especially as they relate to transferring to a university or to graduate school Overall level of satisfaction with the summer research program Any suggestions that they have for improvementEvaluation ResultsOne of the goals of the REU program is to increase the diversity of the students who are pursuingdegrees in STEM, especially advanced degrees in STEM. Table 1 includes the demographic datafrom the program across the three years of operation under the REU Site funding. Table 1. Demographics of Student Participants 2012 2013 2014 Male 11 12
five years, despite intervention programs that aim tobroaden the participation of minorities in engineering. This three-year study explores the barriersand opportunities facing a cohort of: (1) African American engineering PhD students,candidates, and postdocs pursuing engineering faculty careers; (2) African American engineeringtenure-track and tenured faculty; and (3) Minority/Diversity Engineering Program Directors.This study examines factors that impact the production of African American PhDs inengineering, as well as those factors that affect the pathway to tenured faculty positions inengineering. This research includes an assessment of the current engineering faculty climatethrough surveying and interviewing African Americans in
benefits of hands-on learning, such asincreased student attention, are widely acclaimed [1-5], there are also benefits to more traditionalteaching styles, such as the ability transmit more information [6], and the instructor is left tryingto determine which pedagogy will be best suited for each topic in a course. As part of an effort todevelop and promulgate hands-on, active learning pedagogies, the authors have undertaken astudy to develop guidelines for lecture versus hands-on, active learning in fluid mechanics andheat transfer.Students in a junior level Chemical Engineering Fluid Mechanics and Heat Transfer course weretaught in a split manner with two sections and one instructor. The sections were taught in analternating manner. For any given
Abstract For students learning a new topic, being able to use existing knowledge and mental models in the context of the new topic leads to faster learning and a deeper understanding of the new concepts. This paper describes how teaching a graduate-level course providing an introduction to optical engineering for students from multiple engineering majors can be facilitated by using existing concepts and knowledge of linear systems theory, which are common to them all.1 IntroductionThis paper presents an effective and efficient method of teaching a subject (optical engineering)which is new to students from various engineering disciplines. In particular, this method lever-ages existing student knowledge of linear
overly fashioned examples2, 5, 6. Hands-on laboratories that feature realmeasurements could allow students to probe the dynamics of realistic systems, therebystrengthening their conceptual understanding2, 7, 8. However, the prohibitive cost of equipmentand shortage of laboratory space limits these options.Our project aims to overcome these challenges by utilizing a new, highly portable andinexpensive technology, which we call interactive-Newton (i-Newton). The i-Newton can engagestudents in the experiential learning of dynamics outside the confines of the traditional lecture-based teaching methods.The objectives of the project we describe in this paper are to: 1. Investigate whether i-Newton has an effect on students’ conceptual
connectingconverter topology theory, SPICE simulation, circuit construction, measurement, and verification.3. Laboratory Equipment and Bill of MaterialsTable 1 shows the list of equipment used in the lab. They are all general purpose equipmentreadily available for undergraduate electrical and computer engineering labs. Table 1: Laboratory equipment Description Model Qty. Remark Oscilloscope waveJet 322 1 LeCroy, 200 𝑀𝐻𝑧 Function Generator SFG-2104 1 GW INSTEK, 4 𝑀𝐻𝑧 Synthesized DC Power Supply E3611A 1 HP, for +5 𝑉 input Volt Meter FLUKE 179 2 FLUKE, Digital MultimeterThe lab
on a 2-dimensional, 3-axis diagram: two parallel and oneperpendicular coordinates. The best alternative is selected by the maximum vertical orperpendicular distance from the points to the incline BCR=1. Results and analysis ofexperiments carried out to compare students’ preference and performance using the traditionalverbal approach versus our novel visual algorithm are presented. The proposed algorithm hasbeen preferred by a cohort of engineering economic analysis freshmen students. Furtherexperiments are currently being carried out to assess retention and ratify present results.IntroductionThe impetus of this study is at least two fold: (1) visual pedagogical materials are more effectiveamong engineering students, and (2) the benefit-to
able to determine what type of students we had relative to intelligence belief6,we focused on the results of Kunh and Rundle-Thiel11 to assure our various course sectionsconformed as much as possible to the concept of constructive alignment. Consequently, thecourse material was organized based on identification of a set of common learning objectives Page 26.378.3contained in Table 1 and a common set of test questions, coupled with a shared student survey.A common rubric and project assignment was used to evaluate the first objective. Objectives 2-8had an exam question which was assessed using a common 1-4 point rubric / scoring system
with industry and peers involved with TAMUK’s JavelinaInnovation Laboratory (JIL). Exposure to these curricular design experiences are wrapped in asupportive layer of peer mentoring to promote student success. Cascading vertically, Page 26.331.5undergraduate seniors mentor juniors, juniors mentor sophomores, and sophomores mentorfreshmen. This STEP project is being piloted in four undergraduate engineering programs in theTAMUK Frank H. Dotterweich College of Engineering (i.e., mechanical, civil, chemical, andenvironmental).The CASCADE objectives are:1. Infuse concepts of the design process across all four levels of the engineering
model of AM parts, adopted from a graduate level researchproject, was presented to students. Through experiments, the performance of various AMspecimens was characterized. Students were instructed to summarize their observation. Preand post lab surveys were carried out to investigate students learning experience. In thefollowing sections, the lab activities and assessment methods are described; and theevaluation of student learning, including the lessons learned, are presented.Method and laboratory descriptionIn order to fully assess students’ understanding of the performances of AM specimens underdifferent tests, three labs were designed and integrated into the regular Strength of MaterialsLab. The three labs were tensile test (AM Lab #1
Page 26.886.1 c American Society for Engineering Education, 2015 Impact of reflective learning practices on students' learning of engineering dynamicsIntroductionEngineering is known as a challenging major that many students withdraw because of lowacademic achievement 1. Component Display Theory defines learning in two dimensions:content and performance 2-4. Content includes accepting facts, concepts, procedures, andprinciples; while performance refers to three phases of learning including remember, application,and generalities. Higher levels in both dimensions suggest a higher understanding degree anindividual gains. However, students’ feedback and assessment results suggest
to project handover” 1.However, these increasingly collaborative project delivery systems do not ensure collaboration.Lean Construction has had a positive impact on the construction industry but, success does notalways find its way into every project. In fact, several opponents dubbed Lean Construction as“Mean Construction” as evidenced by the November 21, 2007 cover story of Engineering NewsRecord entitled “Lean Without Mean”13. The reasons for failure are varied and vast but, one ofthe most common reasons cited is that the project managers or superintendents selected for theseprojects had difficulty adjusting their mindsets to operate within a collaborative environment.Many had been very successful on more traditional contracts but, the
to the three groupings found through qualitative analysis. Results of this mixedmethods study indicate that previous qualitative results are generalizable to a differentengineering population. This work brings us a step closer to developing a valid instrument toassess motivation based on FTP for use alongside performance assessments, allowing for betterunderstanding of how the affective domain influences cognitive performance in engineering.Introduction:The study of student motivation in engineering has developed around one of two conceptualizationsof motivation: 1) short-term task-specific motivation and 2) student motivation toward long-termgoals. Task-specific motivation seeks to understand student motivation for performing andcompleting
. Page 26.1038.1 c American Society for Engineering Education, 2015 Investigating Pattern in Design Performance of Interdisciplinary Undergraduate Engineering Student TeamsINTRODUCTIONOver the last 5 decades, the average engineering curriculum has largely been based on an “engineeringscience” model in which the analytical and mathematical elements of engineering are strictly of focus [1].This implies that all challenges faced in engineering can be condensed and modeled as solvable mathequations. This model, however, poses a threat to the current methods of engineering practice by givingthe notion that all serious engineering is done in the language of mathematics [2]. While the
read real-time data toillustrate or explain concepts (or principles) during classroom session.2.2 Systems modeling and designFrom the perspective of engineering education, the current paper is related to systemsengineering as it creates enabling framework for integrating the different entities (or subsystems)involved in teaching and learning. Such integration will produce better learning experience forthe students (Fig. 1). It is expected that the integration framework presented in this paper willfurther narrow the gap between practical and theoretical knowledge acquisition by engineeringstudents. Teaching Professors/ Engineering materials Instructors