the curriculum.The approach presented herein consists of two parts: tactile and software. In part one, studentsare tasked with sculpting a p-v-T surface using any foodstuffs and bringing the completedsculpture to the following class. In part two, a CAD model is to be created and subsequentlyimported into a freely-available scientific visualization tool, with the best submitted modelselected for 3-D printing. Page 26.938.3Figure 1 below illustrates the process. It begins with adjusting the grading scale to accommodatethe projects. For this project-based approach to succeed, the course syllabus must be modified bythe instructor such that the
attitudes towards independent designs via exposures tomodern technologies like 3D printing and PSoC (Programmable System-on-Chip) programming,was achieved. The following workshop students’ outcomes: (1) an ability to successfully designand 3D-print an object that is a part of an assembly; (2) an ability to successfully wire/solderLEDs and sensors to a PSoC, and (3) an ability to successfully program a PSoC as demonstratedby creating a smart lamp were also met as substantiated by pre- and post-tests, attitudequestionnaires, and informal short interviews with participating students.Introduction Computer and 3D-printing revolutions are in full swing. As a result, the need forengineers educated in both of these technologies is increasing. The
potentialfuture solutions of these problems.If the public has such a limited understanding of bioenergy, we would hope that K12students would be better informed through learning activities in science classes. Thisdoes not appear to be the case. A recent study in New York State found that only 1% ofmiddle school and high school students achieved a reasonable level of competency(correctly answering 80% or more) on a basic energy literacy test (DeWaters & Powers,2011). While high school students did score better than middle school students, onlyone-third (35.5%) were able to correctly identify the definition of the term ‘renewableenergy source’. This poor understanding of basic energy concepts indicates that USstudents may need to learn more about
module presentation and labparticipation.1. IntroductionCyber-security continues to move to the forefront of existing and new technology deployments,as well as the media in general. Recent attacks1,2 by terrorist groups on critical infrastructure arebeginning to exploit the risks and vulnerabilities of Industrial Control Systems (ICS)3,4. APresidential Executive Order has brought priority to the issue5 and Presidential Directive 76defines such critical infrastructure sectors, the vast majority of which are controlled by ICS.Therefore, there remains a critical need to educate students in the concepts of cyber-security withrespect to such systems, and to be inclusive of students not only in disciplines specializing incyber-security, such as
coursecovered essential topics contained in most traditional statics courses, but also includedseveral topics covered in introductory mechanics courses. Table 1 describes weeklytopics, student hands-on activities, as well as learning outcomes.Table 1 – Topics, Student Activities, and Learning Outcomes in Introduction to Solid MechanicsWeek Topics Hands-On Activities Learning Outcomes1 Forces Lab: Card Towers Hands-on design & testing experience with constraints2 Moments Lab: Jenga Analysis Identify moments created by
followed by effective changes of theevaluation process. Page 26.1421.21. IntroductionThe Electrical Engineering Technology Program has adopted the student learning outcomeslisted below. These outcomes were developed in consultation with the faculty and the IndustrialAdvisory Board. Students that graduate from this program will: 1. Apply modern technology tools, such as software and test equipment, to analyze, simulate, design and improve electrical systems. 2. Apply digital and analog electronics to existing and new components, subsystems, and systems. 3. Apply microprocessors/microcontrollers to existing and new components
provided the following definition thatdefines engineering leadership through a list of required capabilities: “the ability to assess risk and take initiative, the willingness to make decisions in the face of uncertainty, a sense of urgency and the will to deliver on time in the face of constraints or obstacles, resourcefulness and flexibility, trust and loyalty in a team setting, and the ability to relate to others”7 (p.1).Lastly, the CDIO Syllabus, an internationally recognized innovative engineering educationframework, recently added an extension to include leadership. Within the extension, it isclearly stated that leadership is not orthogonal to the remainder of the engineering curriculum,but rather there is an extensive amount of
student teams work out theirinterpersonal problems only to then be faced with hours of grading lengthy reports. And,although the students only have to complete the work once, for faculty, the cycle repeatsannually.Two years ago, we attended a presentation on gamification in a laboratory course 1. Although theplan used in that paper did not suit us, the idea of adding an element of fun and competition tothe Unit Ops Lab had a certain appeal. We brainstormed ways to incorporate the game conceptand fix some of the small annoyances of teaching the lab courses. The small gamificationaddition was dubbed “Bragging Points”. The idea would be to recognize the students for doingsomething right (that they probably should have been doing anyway) and let them
to a variety of microethical and macroethicalissues from safety to equality. A previous large quantitative study found that 43% of theengineering students experienced statistically significant changes in their social responsibilityattitudes over 1½ years. Two research questions are being explored in this research: (i) How doengineering students change their understanding of social responsibility from the end of theirfirst year in college to the end of their second year of college? (ii) What experiences seemed tocause these changes? To answer these research questions, a qualitative approach was used.Thirty-four students were interviewed in their second semester of college, and thirty-two of thesestudents were interviewed again one year later
exceptAnxiety have positive relationships with students’ behavior of using smartphones in classrooms.1. IntroductionOne of the main technologies that have dominated the classroom is the smartphones. Page 26.1224.2Smartphones are one of the most popular devices that allow the users to connect to the internet,check emails, connect to social medias, etc.. Due to these functionalities, smartphones have beenwidely used by new generations and college students. Many researchers are debating whetherusing technologies such as laptops help students to learn better. Although several studies havebeen done to show the impact of different technologies on students
alsodiscussed.Program Design This project has been designed to provide a model to help fill the manufacturing relatedknowledge gap by addressing four primary issues. These are 1) the image of manufacturing, 2)consistent curriculum, 3) improved teaching methodologies and 4) leadership in programexpansion.Image of Manufacturing Manufacturing processes, management and facilities have experienced major change overthe last three decades, yet the public image of manufacturing is stuck in the 1940s.i Thisunrealistic image has had a negative effect on attracting students, and the support of theirparents, into manufacturing education and manufacturing careers, despite the rewarding workand compensation in these careers.ii To bring focus to the current
26.1726.3 Figure 1: Example of a shared “wall,” before (L) and after (R)The populations at Maker Faires came from attendees of Maker Faires. In this case, respondentswere self-selected and their responses were anonymous. Due to their attendance of a MakerFaire, respondents likely had some degree of familiarity with making. Attendees of aprofessional meeting of Makers, an event coinciding with Maker Faire, were also asked torespond to these questions. Attendees of this event consisted of thought leaders in the makingmovement and people interested in marketing their product towards makers. Respondents fromthis event were also self-selected and anonymous.Responses were also collected at a workshop put together by a funding agency
Page 26.739.2matrix formulation for frame structures using stability functions (Chen [1]) to account for thereduction of flexural stiffness in the presence of axial compression, i.e. the P-Delta effect.Through the use of homework, quizzes and exams, the students had demonstrated their supposedmastery of the subject material. That is to say they could apply both a differential equationapproach and a matrix-based eigen-analysis approach to solve the given problems. The purposeof the laboratory exercise was to ensure that the students actually understood the P-Delta effecton a conceptual level and not just the mathematics behind it.Pre-test AssessmentTo assess the students’ conceptual understanding of the P-Delta effect, they were given a non
for a greater diversity oftraining setups to be utilized in a smaller area.IntroductionIn order to effectively teach instrumentation, mechatronic and robotic courses in an Engineeringor Engineering Technology curriculum, a variety of electromechanical laboratory setups aredesirable. [1] Exposing students to an assortment of technologies is also desirable, to give themas broad an experience as is reasonable. Thus, setups containing different sensors, effectors andactuators and indicators are needed. Quite often, the cost of such laboratory setups (or trainers) ishigh, thereby challenging the desire to have numerous full setups.To broaden the students’ programming capabilities, many programs teach such courses acrossboth microcontroller and
26.94.5Study ParticipantsThere were two types of participants for this study. Group 1 participants were high schoolgraduates, former ANSEP Precollege component participants, and who were currentlyparticipating in ANSEP’s University Success component at one of the University of Alaska maincampuses: University of Alaska Anchorage (UAA) and University of Alaska Fairbanks (UAF).Group 2 participants were current high school students and current ANSEP Precollegeparticipants.To recruit Group 1 students, I attended Group 1 weekly meetings hosted by ANSEP. I alsoemailed ANSEP Group 1 students information about the study and a flyer. I also posted studyflyers in the ANSEP Building. Students emailed me to let me know they could participate. Ithen verified they
hass basic nodes and composite nodes.. There are four ftypes off basic nodees: processinng, I/O, decision, and fu function noddes. Table 1 summarizess CFLsimple nnode types. Composite nodes are used u to grouup particularr combinatioon of basic nnodes togive strructures, succh as “if-theen-else”, “foor”, “while”, and functioons. Structuured programmming isnaturallly enforced by composiite nodes. CF FL is executaable, and, thherefore, hass features reelated to exeecution. Theese features include:one acccumulator reegister, one floating poiint accumulaator, 12 inteeger variablees that can bbechangedd to float vaariables, twoo arrays, thee input buffeer, the outpuut window, aand two exeecutionbuttons – for singlee stepping and
belongs to the class of foundationalcourses for mechanical, aerospace, and civil engineering students, and their mastery of these coreconcepts is crucial for future success in the curriculum as well as the workplace. Developingmastery often involves a combination of actually solving problems (live, on paper), as well aswatching experts solve problems (via pre-recorded videos). Solving problems is both an intuitiveand well-worn idea whose value is not disputed, and engineering students are constantlysharpening their problem solving skills by actually solving problems on homework assignmentsand exams.The other part of this dyad, watching experts solve problems, leverages the worked exampleeffect[1]–[3] (WE). In brief, WE contends that students can
Social network analysis (SNA) is a type of analysis that enables researchers to examinethe relationships among members of a given system or group.15 The network analysis approachenables researchers to identify, visualize, and analyze the informal communicative patterns andnetworks that underlie the formal organizational structure.16 In contrast to the “organizationalchart” that might show how communication is supposed to flow within the organization, networkanalysis shows the actual communication and relationships that emerge within the organizationor team. In this approach, several key terms must be defined (for the definitions offered here, seeWasserman & Faust, 1994, ch. 1). Actors refer to the social entities, who are the
(laser pointers used by students) that aims to solve the shortcomings of these popularmethods. I have used this method in some of my classes with largely positive results. I willdiscuss how this can been used and how it compliments many of the common methods currentlyin use, while providing superior functionality.Current popular methods for in-class student feedbackThe popular methods commonly used for getting student feedback1,2 are listed in Table 1,alongwith their performance on a set of criteria listed in the first column. The first method(students raising hand) satisfies most of the criteria listed in the table but suffers majorly fromtwo big drawbacks. First, it is not able to involve introverts in an engineering classroom (thatnumber
with some quickmeasurements and notes, Figure 1. If working with students this is an ideal time to take themthrough an overview of the engineering design process (i.e., need, specification, concept,embodiment, detail, testing, debugging.) It can be effective if the students are put in groups andasked to design their own robots. In this case calipers were used to measure components andselect dimensions. The 3D printer (also known as a Rapid Prototyping (RP) machine, Free FormFabricator (FFF), Fused Deposition Modeler (FDM), etc.) makes parts with a maximum materialcondition, typically dimensions grow by 0.2mm. This was subtracted from outside dimensions,and added to inside dimensions. To reduce build time the bottom face of the design was
2012(nUniversity 1 = 81, nUniversity 2 = 64) and spring 2013 (nUniversity 1 = 186, nUniversity 2 = 34). Informedconsent procedures were followed according to guidelines by each university’s institutionalreview board. Table 1 shows the gender and academic level distributions for students whoparticipated in the study.Table 1Participants’ Gender and Undergraduate Level Fall 2012 Spring 2013 n % n % Gender Male 91 62.76 168 76.36 Female 54 37.24 52 23.64 Undergraduate Level Lowerclassmen
, President Obama called for 1 million new STEM graduates within the next decade. Thiscall to action was met with a myriad of local and federal educational initiatives, STEM-specificgrant funding, and an emergence of STEM programming at every level of our education system.This new momentum also focuses on the under-representation of minorities and women pursuingSTEM. As a federally-designated Hispanic-serving community college, our goal of fosteringmore STEM-educated students is embedded within a complex web of obstacles and challenges.In response to these challenges, The STEM Center at Cañada College identified four keyobstacles faced by a majority of our community college students interested in STEM: 1)exponential attrition – the longer the course
industry change moretimely than the fundamental courses.The department’s connection with industry also set up a channel for students to exploreinternship opportunities, which is required for their graduation. The IAB members are invited tovisit our classroom frequently and interact with students directly. Their presentations givestudents an insight to what industry is looking for. It’s worth mentioning that this connection isalso set up at school level [1] and university level [2] collaborated with the department,providing students multiple but consistent channels to industry. In addition, donation from thelocal industry helps upgrade the NIT laboratory with cutting-edge equipment.In summary, the industry has provided the new program with various
, innovation, risk management and other skillsessential for creating and exploiting market opportunities, whether as an individual or as anemployee of a larger organization (“intrapreneur”).The PBL module was co-developed by mechanical engineering faculty at four universities: OhioNorthern University, Lawrence Technological University, Gonzaga University, and St. LouisUniversity. Project sponsorship was provided by the Kern Entrepreneurial Engineering Network(KEEN).1 This module was delivered in two semester courses at each of the four schools,impacting a total of 219 students.Pre- and post-project surveys, using a common instrument at all schools, were given to allstudents to measure students’ confidence in their own abilities concerning fourteen
predecessor BroadReach, were developed at East CarolinaUniversity (ECU), by Mr. Lee Toderick, the co-author of this paper.BroadReach was created to provide automated, secure, remote connectivity between distributednodes (on or off campus) and central server resources located on campus. BroadReach Extended(BRE) was recently added to provide automatic assessment for locally created remote labexperiments to students. This section describes the functions of both.2.1 BroadReachRefer to Figure 1. The purpose of BroadReach is to use IPsec to create a secure connectionbetween two remote locations, regardless of the computer network a packet travels across8.Unlike some tunneling protocols such as SSH, IPSec passes all traffic through the virtual
worker shortage can alsobe reduced.The National Center for Women in Computing (NCWIT) created the Pacesetters program as afast-track approach for addressing the gender gap in computing. The strategy recommendationsfrom the Pacesetters program are8: 1. Improve the first course experience 2. Create community and visibility 3. In reach (recruit women from within your organization) 4. Support and draw on female talent pools 5. Influence the influencers 6. Tap new pools of talentCIO magazine suggests the following six approaches for recruiting and retaining women in IT6: Page 26.1444.2 1. Provide paid parental leave for both men and
, and book chapters. Dr. Hu’s research has been supported by U.S. National Science Foundation (NSF), U.S. Department of Defense (DoD), Cisco, Sprint, and other sources. He has chaired a few international conferences. His research interests are 3S - Security, Signals, Sensors: (1) Security: This is about how to overcome different cyber attacks in a complex wireless or wired network. Recently he focuses on cyber-physical system security and medical security issues. (2) Signals: This mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way in order to extract patterns (i.e., achieve pattern recognition). (3) Sensors: This includes micro-sensor
tested: 1) informal conversations, 2) topical music, and 3) no activity. Theinfluence of other variables such as gender, year, and major are also examined.Recommendations to enhance both are given based on the findings. Given the potentialbenefit, this work also examines some of the practical aspects of pre-class activities,including instructor preferences and the transition to regular class time.Background:The effects of music on cognitive abilities have been a topic of discussion since Rauscher etal.1 published an article detailing the “Mozart Effect”. In their study, a group ofundergraduates were administered a spatial abilities test after listening to a Mozart piece orsitting in silence while listening to relaxation instructions. The
with respect to both temperatures achievable and bio-oil yield .Introduction:Due to stringent emission requirements the increasing amount of CO2 emissions and of othergreenhouse gases from combustion processes, technologies in renewable energies that decreasethese emissions have been streamlined for implementation in industry.1 Pyrolysis is an effectivethermochemical conversion process that helps to cut down emissions while producing a sourceof useable fuel from renewable resources. In the process of pyrolysis, biomass is heated to 400-600°C in the absence of oxygen, to produce bio-oil.2 The products formed in the process arechar, oil, tar, water, and fuel gases. It is known that rapid heating yields higher volatilecomponents and temperatures
, the major hardware components used in these lab modules are data acquisition unitssuch as NI myDAQ and a microphone. II. Summary of Developed Laboratory ModulesIn this work, we have developed two main LabView-based lab modules and each consists of anumber of tasks or a sequence of lab exercises. We have also used a NI myDAQ for real-timedata acquisition and digital output control.The key topics covered in these lab modules are summarized in Table 1.Table 1: Summary of Lab Module Topics Lab Module Topics (Tools used) Real-time input signal generation (LabView/NI DAQ/function generator) Signal time-domain analysis (LabView) Lab Module #1