environment, orceasing to exist in the near future. Significant progress has been made over the last few years inthe research and development of renewable energy systems such as wind, sea-wave andsolar energy systems. Among these resources, solar energy and wind are considered the mostpromising, reliable, abundant, and environment friendly renewable energy source [1, 2]. Most ofthese energies are dependent on parameters such as time of the day, presence of sun or speed ofthe wind. The energy production from these resources will be drastically affected as theseparameters change. Storage systems such as battery banks are utilized to store the surplus of theproduced energy from these renewable sources. Energy storage then becomes an essentialcomponent
initiatives(1) a summer intensive program, (2) a revised gateway course for engineering and CS majors, (3)a peer and faculty mentor/tutoring program, and (4) affinity housing.ApproachThe FS2 program initiatives are aimed at first year students and support students’ adjustment tothe challenges and rigors of a high quality academic program and involve upper-class studentsand faculty from engineering and CS. The program initiatives contribute to students’ academicpreparation and self-efficacy, particularly in first year mathematics courses, sense of belongingto a major and social integration within an academic community, and belief that the targetedmajors contribute to society. These are key factors that have been shown to affect retention inSTEM
-year engineering courses have been added to the engineering curriculumover the past 30 to 40 years in an effort to engage the students in engineering at an earliertime1, improve retention2, provide an introduction to engineering disciplines3, inspire thestudent for the study of engineering, have students recognize the importance ofengineering in our modern way of life, etc. Even though there is general agreement onthe objectives of the course, the course content used for these courses varies widely4.First-year engineering classes take two general forms: classes taught by individualengineering departments and a common engineering class taught at the college level. Thecommon engineering approach is used by less than 1/3 of engineering colleges
methodology – phenomenography. We then discuss our datacollection methods, validity concerns, data analysis procedures, and preliminary findings. Weclose by discussing some implications, limitations, and plans for completing this study.2. Research QuestionsTo better understand the multi-faceted MOOC student experience, we investigate the followingresearch questions: 1. What are student intentions and perceptions of the utility of engagement with online and offline components of this class? 2. How do students describe their learning behaviors while interacting with the online environment, and what reasoning do they give for these behaviors? 3. How are the students using the physical lab-kits, and how can we characterize their
been applied to less structuredenvironments due to advances in technology [1].To introduce industrial robotics we decided to use the Open Source Robotics Operating System (ROS)and Moveit software [2]. In previous work we developed labs using ROS and Moveit to teach basicKinematic concepts in robotics [3]. The previous work only used simulated robot arms to teachconcepts in robotics. The obvious next step for us was to add a real robot arm to the lab configuration.We have worked with well over a hundred students at the high school level and a small number at thecollege level successfully building robot arms similar to the one shown in this paper. The robot armused RC servo motors to drive the robot arm joints. The robot arm was controlled in
components, and discernment of the boundaries of thesystem. The ability to synthesize systems to achieve a particular function in given technologicaldomain is also considered. This work begins an effort to create some assessment tool appropriatefor use with the large number of students who are not majoring in one of the STEM disciplines.Preliminary from using these assessments with undergraduate non-STEM majors are described.BackgroundOur modern economy and way of life depend on the use of technology. In TechnicallySpeaking: Why All Americans Need to Know More about Technology,1 the National Academyof Engineering (NAE) has made an effort to publicize and clarify the importance of technologyin our daily lives. Informed citizens should possess an
projects the model in front of thestudents’ eyes, allowing them to see the three dimensional representation of the objects while alsoallowing them to imagine, analyze, and sketch the necessary views. The stereographic model viewsare displayed in MR by using the Moverio see-through glasses or the Google Cardboard. This MRsupported learning material in an engineering drawing course is reported and student success isstudied by using pre- and post-mental rotation tests.1. IntroductionGeometry visualization is an essential skill for prospective engineers to possess when entering thefield. All engineering technology students are required to take the engineering drawing course intheir freshmen year in order to learn principals of drawing and 2D/3D CAD
characterize the feedback given during meetings between teams of two to threestudents and their coach.1,2 These coaching sessions are used to evaluate a team’s currentunderstanding and to guide their next steps. Interaction between the coach and thestudents was found to be characterized by distinct episodes with up to four stages.1 Coachand student interactions were coded in terms of episode stages and episode themes (e.g.,what coaching or student engineering objectives they addressed). In addition, the talktime of the participants was analyzed.In this paper, we build upon this research by employing Epistemic Network Analysis(ENA) to compare the features of the coaching sessions.4 ENA is an analysis tool that isnew to this context. In general, a
autogenerates successively harder problems for a student to solve. Scores per student are reported to the instructor. Figure 1: Boolean algebra tool. (a) User prompted to select a property. Goal and initial equation shown. (b) User selects terms. (c) Continue applying properties to reach goal. Combinational circuits A student next learns how logic gates that implement Boolean algebra's operations of AND, OR, and NOT can be connected as combinational circuits to implement
rating of user 𝑥 on topic 𝑠 and 𝑟𝑦,𝑠 is the rating of user 𝑦 on topic 𝑠, 𝑠𝑥,𝑦indicates the items that users 𝑥 and 𝑦 co-experienced. Then rating is computed by a weightedaverage of the nearest neighbors using the following formula7,8: ∑𝑦∈𝑆𝑥𝑦 (𝑟𝑦,𝑠 −𝑟̅𝑥 )𝑠𝑖𝑚(𝑥,𝑦)𝑟𝑥,𝑠 = 𝑟̅𝑥 + ∑𝑦∈𝑆𝑥𝑦 𝑠𝑖𝑚(𝑥,𝑦) ,where, 𝑟̅𝑥 is the average rating of user 𝑥. Two assumptions were used in the algorithm: (1) theprofessor was interested in relating the frequency of the topics on the websites to the OPCcourse, and (2) the frequency of the topics on the websites reflected the technological andstakeholders’ need changes and the professor agreed with the existence of the
developed rubric. This paper provides a brief explanation of concept mapsas well as descriptions of the particular course studied, the methodology, the findings, and thelessons learned.BACKGROUNDConcept MapsConcept maps are a visual method of organizing information. They were first developed andused as a pedagogical tool by Stewart et al.3, and researchers have since further developed andrefined the method for use in teaching, learning, research, and assessment e.g., 4. Figure 1 shows aconcept map developed by Novak and Canas5 that defines the structure and characteristics ofconcept maps.Figure 1. Concept Map for Concept MapsThe use of concept maps as an assessment tool has two elements: assigning students thedevelopment of a map to demonstrate
. Visual communicationbecame enhanced by 60%; however, writing skill and technical depth decreased by 24%.According to survey results, students favored web publication over conventional term report by92% and felt that it is an effective way to deliver their projects. The results indicate that webpublication could be an exciting and effective way to develop communication skills for thedigital generation. Students still need training in the art and skill of technical writing.Introduction:As we transition from an industrial to digital age, engineering communication must also face thechallenges due to the proliferating use of the internet [1]. The internet provides many types ofcommunication opportunities. Technical communication is evolving because
system engineering content to make it more easily accessible and understandable byundergraduate students.IntroductionA faculty team (professors of professional communication, mechanical engineering, and physics)at Rose-Hulman Institute of Technology have collaboratively designed and taught an intensivemultidisciplinary design program [1] in which undergraduate engineering and science studentstackled one of the National Academy of Engineering’s Grand Challenges[2] during a 12-credit-hour 10-week summer program. The program is centered around designing a system to use in aless developed country with major components of systems engineering integrated throughout theexperience in the form of practice of model-based systems competencies.[3-4] For
, students were placed in a cohort that was limited to 15 students; in efforts to createa supportive atmosphere, they were enrolled in the same math and English class sections. Inaddition to their regular course time in trigonometry, they were required, as part of their courseschedule, to attend two math recitations per week (led by a full-time faculty member). Toaccommodate this design, the English instructor was tasked with two challenges: 1) acceptstudents into the composition class regardless of English placement (so they could enter thecohort according to their math placement), and 2) create something special for Engineeringstudents (in order that they might begin to identify as engineers). Students who may have placedlower than entry-level
. Thespecific research questions addressed in this study are 1) if the piloted self-reportinstrument can be used to identify discrete constructs, and 2) how these constructs alignwith prior qualitative research findings.The objective of this study was addressed using a quantitative exploratory researchdesign. Items for the self-report Likert-scaled instrument were designed to distinguishstudent experience that either accept or reject the presence of ambiguity and the value ofmultiple perspectives. The instrument was disseminated to a total of 214 first-yearengineering students. Exploratory factor analysis was used to identify the constructs thatemerge from the self-report data, and these constructs were checked for alignment withthe previously
knowledge about how the prototypes worked. His reflections onteaching emphasized classroom management and how to model design process steps.Our findings have implications for incorporating engineering experiences into work with noviceteachers. Teacher educators should consider supporting the framing of design as a knowledgebuilding enterprise through explicit conversations about epistemology, apprenticeship in sense-making strategies, and tasks intentionally designed to encourage “figuring things out.”IntroductionThe inclusion of engineering design at all grade levels in the Next Generation Science Standardsnecessitates efforts to create learning opportunities for teachers to learn to teach engineering 1.The NGSS call for the “integration of
augmentation devices. Methodology The study involves both testing and analyzing the custom designed wind augmentationdevices (Figure 1) to evaluate the efficiency of air flow. Three students from mechanicalengineering, civil engineering and business administration teamed up to develop the specifieddesigns. For the phase one, the designs of three shrouds, 200, 250, and 300, were 3D printed toinvestigate the wind velocity change between inlet and the outlet. All three students developedthe three dimensional models for 3D printing. Mechanical, and the civil engineering studentsconstructed the remaining cylindrical shape from the sheet metal with the assistance of the thirdsstudent with business background. Figure 1: Construction of wind
are madeusing Adobe Flash animations, videos, text, and audio. The software consists of five majormodules, the modules in turn contain sub-modules comprising of ‘slides’ which could beanimations, videos or text with/without audio. Each slide was made with a simplistic and creativeapproach making it easy for the student to understand the concepts, while ensuring scientificaccuracy at the same time.The five major modules are: (i) Introduction, (ii) Applications, (iii) Fuel cell systems, (iv) Celllevel, and (v) Fuel cell science. The design concerning the development of the modules wasdiscussed in depth in the 2015 ASEE paper15. Figure 1 captures the main interface of thesoftware and also stills from some of the animations. The user interface is
of Interactive Virtual Laboratories where students can actively experience multiplerepresentations, and, second, that experience with these virtual laboratories helps students learn.The Interactive Virtual Laboratories are being developed based on best practices in engineeringeducation pedagogy and sound multimedia development principles. Year 3 progress is reported.Beta versions of six laboratories have been completed and are available to the engineeringcommunity through integration into the AIChE Concept Warehouse, another NSF supportedproject.1 Three of the IVLs have been delivered in a thermodynamics with over 1,000 sets ofstudent responses. We are investigating the ways that to use gathered information to understandlearning, supply
problems and showcase competencies to potentialemployers. Fig. 1 Design Thinking JamMethodologyDuring a Design Thinking Jam participants apply a respective problem-solving methodologycalled Design Thinking. Design Thinking is a methodology that aims at creating innovativeideas that solves customer- defined problems, and therefore takes into account the customer’sneeds and expectations throughout the whole product development cycle [6]. Namely, DesignThinking represents means of investigation that heavily relies on understanding how theresult of design exercise will be used. While traditional development approaches such as theWaterfall Model follow a procedural approach of different sequential phases, DesignThinking
most important professional development course for anengineering student which combines project-based learning and the real-world practice of a formalengineering design process. Early efforts in the past as well as currently ongoing have emphasizedon improving the overall capstone experience for students as well as the enhanced engagement bydesign instructors. Banios [1] outlines a capstone design course following closely real-worldengineering practices. The paper summarizes a two semester capstone design curriculum makingstudents work as part of teams to design projects first at a proposals stage and then follow it in thesecond semester with a pilot model realization. An important mention in this work is that the teamstructure applied to
were designed to be used primarily in upper-level courses that werewell-aligned with the student outcomes. Instructors selected student work representative of aparticular SO in their course. The selected work depended on the type of course, and it typicallyincluded items such as oral presentations, written lab reports, or problem solutions from exams,quizzes, or homework assignments. It was most effective to complete rubric scores for studentwork while grading or as soon as possible afterward.Development of Performance IndicatorsMost of the work in this paper builds upon the fundamentals presented at ABET ProgramAssessment Workshops [1][2]. The general concepts presented here are not new; similar workhas been done in multiple programs at other
Version 1.In order to communicate our sustainability plan, we developed an order system was created usingPayPal and Podio, a project management tool, with simple algorithms created to measureoverhead (maintenance of the printers and the filament) and net profit from student payment.Students would be urged to make a request for a print through the order form on Podio, usingtheir own models or those created by the makerspace staff or online artists. The staff memberquickly makes the necessary adjustments for size and print detail, providing the student with aquote that can be confirmed and paid or declined.With the outline for the space and the space’s business plan completed, we created a detailedbudget and with the help of our mentors we secured
or project based capstone design coursework,they are encouraged to take the college-wide Multidisciplinary Capstone Design (ENGR 4890)course. This course is currently taught by a Mechanical & Aerospace Engineering (MAE)faculty member so that the students are learning the Engineering Design Process withMechanical & Aerospace Engineering students in MAE 4980. The basic components in anengineering design process do not have to be discipline specific; they should include: 1. State or justify the need for the design 2. Collect information 3. Quantify the design objectives 4. Generate multiple concepts for comparison and selection 5. Detail the selected design 6. Produce the proof of concept prototype; test and improve
their robot utilizing ultrasonic range finder sensors to enable autonomous mode. Third, theyused an iPhone application to send images to the computer. Finally, they used simple algorithmsto process the images learning how computer vision works. The programming for the robotautonomous mode was done on RobotC. The programming for image Processing was done onXCode using OpenCV libraries.Materials Item Quantity Cost VEX Clawbot Kit 1 $149.00 Ultrasonic Range Finder 4 $29.99 Line Tracker 1 $39.99 iPhone 6 1 $549.00 TOTAL
shown in fig. 1.Fig. 1: Number of feedbacks per labThe first part of the survey required personal information of the student or teacher, like name,age and school. The purpose was to avoid double or fake entries. In respect of theparticipant’s privacy none of this information was shared with others. Second, we asked forthe lab the students tested. Thus, testing multiple labs required the student to fill out multiplefeedback forms. The main part of the survey was oriented on the user’s experience. We splitthe questions into: 1) Grid type questions, where the students could select whether they agree or not to a statement about the lab (see fig. 2) and 2) Paragraph type questions, where students could write open-ended answers. Students
University. Dr. von der Embse utilizes a social justice framework to examine the intersection of education policy and school mental health. His research is focused in three primary areas including: (1) an examination of teacher stress and student test anxiety surrounding high-stakes exams, (2) the creation and validation of internalizing behavior and socio-emotional wellness screening assessments, and (3) the training of teachers and schools in population-based assessment methods (e.g., universal mental health screening, Mental Health First Aid) to inform tiered and targeted intervention.Dr. Zachary J Domire, East Carolina University Zachary Domire completed his B.S. (Honors), M.S., and Ph.D. in Kinesiology at The
is much easier toimplement, manage and assess programs at the collegiate level. Several research studies however havealso suggested that the best predictor of academic success at the college level is the rigor of academicinstruction at the K-12 level [1, 2, 3, 4, 5]. Unfortunately, under-represented minorities in STEM,particularly those from low income households, are more likely to be in programs with insufficientacademic rigor [2, 5, 6, 7].Universities and colleges, partially in response to these studies, have also introduced programs at the pre-college level, designed to enhance STEM success among under-represented minorities and low incomestudents. Hill [8] described a program applied to Detroit area schools in 1976 which included
design and implementation using qualitative methods. She has a Ph.D. in Engineering Education from Virginia Tech, a B.S. in Mechanical Engineering from Syracuse University, and a A.S. in Engineering Science from Onondaga Community College, NY. c American Society for Engineering Education, 2016 Beginning to Understand and Promote Engineering Students’ Metacognitive DevelopmentIntroductionMetacognition, defined as the knowledge and regulation of one’s own cognitive processes [1, 2],is critically important to student learning and particularly instrumental in ill-structured problem-solving [3, 4]. Despite the importance of metacognition, much of the research on metacognitionhas
University of Pittsburgh at JohnstownAbstractThe goal of this paper is to discuss efforts to engage and inspire engineering students by addingentrepreneurial course content and creating relevant extra-programmatic opportunities. Threeprimary mechanisms discussed in this paper include 1) entrepreneurship-specific coursemodifications to both a first-year engineering course and to a second-year engineering designcourse (including collaboration with business faculty and students), 2) creation ofentrepreneurially-relevant extracurricular clubs, activities, and events for students on campus and3) introduction to extra-university interaction opportunities for engineering students interested inentrepreneurship with both the private sector and with students