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What to Do When 3D Printers Go Wrong: Laboratory Experiences

Conference Session: Division Experimentation & Lab-Oriented Studies: Pedagogy of Lab-Oriented Courses
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Nebojsa I Jaksic P.E., Colorado State University, Pueblo
Tagged Divisions: Division Experimentation & Lab-Oriented Studies

(3D-printing failures)due to errors in design, operation, part placement, material selection, etc. and the failures due to3D printers’ malfunctions (3D printer failures).3D-Printing Failures 3D-printing failures can be classified into three types based on their severity: (a)catastrophic 3D-printing failures where the 3D printers are damaged; (b) complete 3D-printingfailures where the failed objects cannot be repaired, and (c) partial 3D-printing failures where theobjects can be repaired by using some post-printing processes.Sometimes, early during printing, a corner of the printed part warps up and separates from theprinting platform. Since this corner is now higher than the tip of the extruder nozzle, the nozzlecan push all the built

Relevance Score: 0.03321693

MAKER: Candy Crane Robot

Conference Session: Make It!
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Andy Zhang, New York City College of Technology; Angran Xiao, New York City College of Technology, City University of New York; Bijan Bayat Mokhtari, Aalto University, New York City College of Technology; Ali Harb
Tagged Topics: Diversity
Tagged Divisions: Manufacturing

A CAD Rendering of the Tower (Mast) of Candy Crane Page 26.1114.4 Figure 3.3 A CAD model of the Jib (Horizontal Beam)a) A CAD Model of the Candy Crane Assembly b) A Candy Crane Prototype Page 26.1114.5 Figure 3.4 Candy Crane a) A CAD Model b) A Physical Prototype with its Control unit Figure 3.4 Emulator4. Electrical/Electronic DesignThe electrical and electronics design includes circuit design that includes the use of candy cranecontroller, emulator controller, touch sensors (limit switches), and wireless communicationsystem. Figure 4.1 is the circuit

Relevance Score: 0.03319699

Experience-based Approach for Teaching and Learning Concepts in Digital Signal Processing

Conference Session: Computer Science, Computer Engineering, and Digital Systems Education 2
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Daniel Raviv, Florida Atlantic University; Juan D. Ramirez, Florida Atlantic University
Tagged Divisions: Electrical and Computer

higherrotation speeds, it will seem as if the wheels are moving forwards but slowly. This phenomenoncan be seen in the following YouTube video. In this case we are under-sampling, or sampling ata too low rate relative to the frequency of the wheel’s rotation, and the wheels spinningbackwards is our vision experiencing aliasing.http://www.youtube.com/watch?v=jHS9JGkEOmA Page 26.717.10 In the image below, we see two cases (case A and case B). Remember our brain samplesfor image processing. Imagine you’re looking at the wheel in case A, the first time you saw thewheel it was at position f1 and the next time you were able to make out the position of

Relevance Score: 0.033190895

Leadership Characteristics within the Making Community

Conference Session: Innovation in Engineering Leadership Education
Collection: 2015 ASEE Annual Conference & Exposition
Authors: James Logan Oplinger, Arizona State University; Micah Lande, Arizona State University, Polytechnic campus; Shawn S. Jordan, Arizona State University, Polytechnic campus
Tagged Divisions: Engineering Leadership Development Division

“because you don’t have the resources or the equipment or the knowledgethat is available out in the world”13. These Makers collaborate together to share information andexperiences within the community14. This community populates maker spaces and hackerspaces15 and gather with Makers in commercial spaces like Tech Shop16 and Maker Bench17.This study works alongside a larger project to explore if Makers can be considered engineers andvice versa2.B. LeadershipLeadership can be defined as having the knowledge and skills to lead a team in achieving goals3.Engineering leadership is often determined by an analysis of what leaders in engineering do18.Leaders should be lifelong learners, be service-oriented, express a positive attitude, balance theirlives

Relevance Score: 0.033186127

Surveying Industry Needs for Leadership in Entry-level Engineering Positions

Conference Session: Assessment of Engineering Leadership Skills
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Beth Lin Hartmann P.E., Iowa State University; Clinton Stephens, Iowa State University; Charles T. Jahren P.E., Iowa State University
Tagged Divisions: Engineering Leadership Development Division

. Page 26.1447.6Table 4.Question MatrixCategories/Dimension A. Knowledge B. Abilities Behaviors1. Initiative/Confidence 1A 1B 1C2. Communication 2A 2B 2C3. Interpersonal Interaction 3A 3B 3C4. Teamwork 4A 4B 4C5. Engagement 5A 5B 5CCognitive interviewsAfter developing 60 possible survey questions regarding competencies and 4 user questions, twocollege recruiters were identified to assist with improving the survey instrument

Relevance Score: 0.033181287

Workshop: Using Inquiry-Based Learning Activities in Engineering Courses to Promote Conceptual Understanding

Collection: 2015 Pacific Southwest Section Meeting
Authors: Brian P. Self; Jim Widmann; Alexa Coburn; Baheej Saoud; Lindsey Chase

principles.Although the exact definition of inquiry-based instruction varies somewhat between differentinvestigators, we will use the defining features offered by Laws et al.1 and highlighted by Princeand Vigeant2 (see Table 1). Proceedings of the 2015 American Society for Engineering Education/Pacific South West Conference Copyright © 2015, American Society for Engineering Education 592 Table 1. Elements of Inquiry-Based Learning Activities. (a) Use peer instruction and collaborative work (b) Use activity-based guided-inquiry curricular materials (c) Use a learning cycle

Relevance Score: 0.03312125

Improving Student Ratings through Lecture Based Tutoring

Collection: 2015 ASEE Zone 3 Conference
Authors: Todd Easton

. Proceedings (p. 1). Institute of Industrial Engineers-Publisher.3 Silberman, M. (1996). Active Learning: 101 Strategies To Teach Any Subject. Prentice-Hall, PO Box 11071, Des Moines, IA 50336-1071.4 Meyers, Chet, and Thomas B. Jones. Promoting Active Learning. Strategies for the College Classroom. Jossey-Bass Inc., Publishers, 350 Sansome Street, San Francisco, CA 94104, 1993.5 Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education-Washington, 93, 223-232.6 Smith, K. A. (1995, November). Cooperative learning: Effective teamwork for engineering classrooms. In fie (pp. 2b5-13). IEEE.7 Faust, J. L., and Paulson, D. R. (1998). Active learning in the college classroom. Journal

Relevance Score: 0.03303665

The Choice Opportunity Disparity: Exploring Curricular Choice Opportunities for Engineering vs. Non-Engineering Majors

Conference Session: Multidisciplinary Approaches for Enhancing Non-technical Skills
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Marissa H. Forbes, University of Colorado, Boulder; Angela R. Bielefeldt, University of Colorado, Boulder; Jacquelyn F. Sullivan, University of Colorado, Boulder
Tagged Topics: Diversity
Tagged Divisions: Multidisciplinary Engineering

all non-engineering degree programs. At University B, however,the engineering physics degree program had a Choice Value just above the physics and appliedmathematics and statistics degree program Choice Values. Table 2: Total choice values by degree program at five diverse institutions. Choice Values Engineering Degree Program (all B.S.) CU Boulder Univ. B Univ. C Univ. D Univ. E RU/VH# RU/H Mast. L Mast. M Bacc/Div Aerospace Engineering Sciences 185.8 8.5

Relevance Score: 0.033035263

Consumer Reports Inspired Introduction to Engineering Project

Conference Session: Best Paper Presentations
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Smitesh Bakrania, Rowan University; Kaitlin Engle Mallouk, Rowan University; Krishan Kumar Bhatia, Rowan University
Tagged Divisions: Division Experimentation & Lab-Oriented Studies

measurements, and do so in teams. Previous projects developed for the freshmanclinic sequence have been described extensively and include topics ranging from flashlightfabrication and design and reverse engineering a coffee machine4,5 to detailed exploration of thehuman body6. Many of the projects conducted in FECI satisfy ABET student outcomerequirements. In particular, the course overall aims to meet objectives a, b, d, g, k of the ABETCriteria for Accrediting Engineering Programs7.To meet both the course and ABET objectives, a project inspired by the Consumer Reportsorganization was developed and implemented for the first time in Fall 2011. It has subsequentlybeen used in FECI in the Fall 2011, 2013, and 2014 semesters. The project was designed to

Relevance Score: 0.033030704

The Myth of the Six-Minute Rule: Student Engagement with Online Videos

Conference Session: Online Teaching
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Larry Lagerstrom, Stanford University; Petr Johanes, Stanford University; Umnouy Ponsukcharoen, Stanford University
Tagged Divisions: Computers in Education

.) Page 26.1558.6Figure 1(b). Visualization of a single user’s behavior during a video watching session, showingcases of speed changing (vertical blue lines mark the time of each speed change). The passing ofeach minute marker as the student watches the video is represented by a black dot. (VideoLocation on the vertical axis represents the user’s location within the video in seconds, whileStudent Timeline on the horizontal axis represents real time in hours:minutes:seconds.)Figure 1(c). Visualization of a single user’s behavior during a video watching session, showingmultiple cases of jumping. Note that the black “watching” lines seem horizontal due to therelatively short timescale on the horizontal axis in this example (the whole horizontal

Relevance Score: 0.032980144

Assessing the “Wicked Sustainability Problem” – Literacy in Engineering Education

Conference Session: Environmental Engineering Pedagogy and Innovation
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Johanna Lönngren, Chalmers University of Technology; Magdalena Svanström, Chalmers University of Technology
Tagged Divisions: Environmental Engineering

engineering students’ approaches to WSPsThe current study builds on previous empirical research about engineering students’ approachesto a specific WSP: water shortage in Jordan. In a phenomenographic study, we previouslyidentified four distinct approaches towards the problem1,2. In an order of increasing complexity,these approaches are called (A.) simplify and avoid, (B.) divide and control, (C.) isolate andsuccumb, and (D.) integrate and balance. Approach A is characterized by a general lack ofsincere engagement with the problem. Approach B represents an instrumental approach todealing with the problem. The problem is assumed to be divisible into independent parts that canbe solved in isolation from each other. Approach C differs from approach B in

Relevance Score: 0.032900646

An Information Taxonomy for Remotely-Accessible Engineering Instructional Laboratories

Conference Session: Emerging Computing and Information Technologies I
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Steven Walter Tuttle, University of Technology Sydney; Bruce Moulton, University of Technology Sydney; David Lowe, The University of Sydney
Tagged Divisions: Computing & Information Technology

comparative literature review.,” ACM Comput. Surv., vol. 38, no. 3 Article 7, 2006. [2] E. Lindsay and M. C. Good, “Effects of laboratory access modes upon learning outcomes,” Educ. IEEE Trans., vol. 48, no. 4, pp. 619–631, 2005.[3] J. E. Corter, J. V Nickerson, S. K. Esche, C. Chassapis, S. Im, and J. Ma, “Constructing reality: A study of remote, hands-on, and simulated laboratories,” ACM Trans. Comput. Interact., vol. 14, no. 2, p. 7, 2007.[4] B. Aktan, C. A. Bohus, L. A. Crowl, and M. H. Shor, “Distance learning applied to control engineering laboratories,” Educ. IEEE Trans., vol. 39, no. 3, pp. 320–326, 1996.[5] Labshare, “The

Relevance Score: 0.03289457

Presenting Test Benches and Device Characteristics of Programmable Logic in an Introductory Logic Circuits Course

Conference Session: Software and Programming
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Krista M. Hill, University of Hartford; Ying Yu, University of Hartford
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

an opportunity for our students to reflect on their experience with test benches in lab.CPLD Design ProcedureThe following outlines how our students use ISE with a CPLD. Students first produce adescription of the desired logic circuit, our emphasis is on using schematics like that in Figure 1.The inputs A and B are to the left and the output F is to the right. Figure 1: Example circuit schematicNext, produce a test bench file that describes a sequence of input signals. While a test bench canbe made to evaluate the resulting outputs, our emphasis is on visual inspection of the simulationresults. In Figure 2 we can see that the circuit behaves like an exclusive-OR gate. Figure 2

Relevance Score: 0.03289457

The Role of ‘Togethering’ in Developing Teamwork Relationships and Shared Meaning

Conference Session: Examining Social Ties and Networks
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Patricia Kristine Sheridan, University of Toronto; Penny Kinnear, University of Toronto; Greg Evans, University of Toronto; Doug Reeve, University of Toronto
Tagged Divisions: Educational Research and Methods

for Team 1 and Appendix C for Team 2. Images of the team’s configuration, gestures, andvisual elements at specific intervals during the analyzed interactions are presentedchronologically in Appendix B for Team 1, and Appendix D for Team 2. Select sections of thetranscripts and select figures are repeated in the analysis below; figures whose captions beginwith the letters C or D can be found in Appendix C or Appendix D respectively.5.1.1. Team 1 - an example of not togetheringOur analysis of Team 1 left us with the image of multiple solitudes. Although the team membersfreely raised issues, stated ideas and opinions, and individually seemed to try to be productive,their discussions rarely produced a decision or created any kind of shared

Relevance Score: 0.03288445

Recent Progress in Step-Based Tutoring for Linear Circuit Analysis Courses

Conference Session: NSF Grantees’ Poster Session
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Brian J Skromme, Arizona State University; Paul Rayes, Arizona State University; Brian McNamara, Arizona State University; Xiaoxuan Wang, Arizona State University; Yih-Fang Huang, University of Notre Dame; Daniel H. Robinson, Colorado State University; Xiang Gao, Arizona State University; Theodore Thompson
Tagged Topics: NSF Grantees Poster Session

the mesh equation game.7. AcknowledgmentsThis work was supported by the National Science Foundation through the TransformingUndergraduate Education in Science, Technology, Engineering and Mathematics Program underGrant Nos. DUE-1044497 and DUE-1323773. We thank Drs. J. Aberle, M. Ardakani, R. Ferzli,S. Goodnick, R. Gorur, G. Karady, Hongwei Mao, B. Matar, L. Sankar, Donghoon Shin, MengTao, C. Tepedelenlioglu, T. Thornton, D. Vasileska, Chao Wang, Hongbin Yu, and Hongyu Yufor using our software in their sections of EEE 202 at ASU; A. Holmes for using it in his courseECE 2630 at the University of Virginia; and Y. Astatke for using it in his course EEGR 202 atMorgan State University. We thank Daniel Sayre of John Wiley & Sons, Inc. for

Relevance Score: 0.032808654

I Like Therefore I Learn! Engineering Student Motivation to Learn in Their Least and Most Favorite Courses

Conference Session: Faculty Development II
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Louis Nadelson, Utah State University; Kimberly Kristine Hardy, Boise State University; Dazhi Yang, Boise State University
Tagged Divisions: Educational Research and Methods

' regulation of motivation. Journal of Educational Psychology, 90(2), 224-235.[10] Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183.[11] Zumbrunn, S., Tadlock, J., & Roberts, E. D. (2011). Encouraging self-regulated learning in the classroom: A review of the literature. Metropolitan Educational Research Consortium (MERC).[12] Wolters, C. A., Yu, S. L., & Pintrich, P. R. (1996). The relation between goal orientation and students' motivational beliefs and self-regulated learning. Learning and Individual Differences, 8(3), 211-238.[13] Pintrich, P. R. (2000). An achievement goal

Relevance Score: 0.032781463

WIMP51 Processor: Envisioning and Recreating the Platform for Implementing Student Design Projects

Conference Session: Microprocessor, Microcontrollers, and Embedded Systems Education
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Mason Marshall, Missouri University of Science and Technology; Ariel Moss, Missouri S&T; Larry Gene Garringer, Missouri S&T; Rohit Dua, Missouri University of Science & Technology
Tagged Divisions: Electrical and Computer

Description DE2 Board A 8-bit instruction/data (in HEX) on SSD 4 and 5. This instruction is entered using switches (C) B 8-bit memory location in on-board RAM displayed on SSD 0 and 1. This address is entered using switches (D) C Switches used to enter 8-bit instruction. Switch 15 (left) is the MSB and switch 8 (right) is the LSB. D Switches used to enter 8-bit memory address. Switch 7 (left) is the MSB and switch 0 (right) is the LSB E Push button 0 used to write the instruction

Relevance Score: 0.032751344

Analysis And Simulation of Hybrid Electric Energy Storage (HEES) Systems for High Power Applications

Conference Session: ECCD Applications
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Hassan Moghbelli, Arak University of Technology, Arak, Iran; Shahab Sabzi, Arak University of Technology, Arak, Iran
Tagged Divisions: Energy Conversion and Conservation

convertercontrols the output power [2]. This kind of converters is designed in order to operate in maximum powerranges. This method decreases the costs of the system. Figure 1. An example of hybrid electric energy systemA. Economic Aspect of Hybrid Electric Energy SystemsUsing a hybrid electric energy system can lower the costs of consumed energy; also increase the reliabilityand control of the system. A wind/photovoltaic hybrid energy system can be the best option for isolatedplaces [4]. Sometimes due to high costs of required equipment or administrative costs, supplying the powerfrom main network is more economic [5].B. Application of Hybrid Energy in Power SystemsHere are some main advantages of using hybrid electric energy

Relevance Score: 0.032729648

An Advanced Streaming Internet Radio Player with Raspberry Pi

Conference Session: General Technical Session
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Jeremy Wayne Gilreath, Guilford College; Chafic Bou-Saba, Guilford College
Tagged Divisions: Computers in Education

. Page 26.170.2All important files created or modified during this project can be found at a stable locationonline4 for users to review at any point in time, and will provide the proper configuration orsource code for the project step in question. Also included is a detailed 145-step guide for thecompletion of all steps in this project, and is more lengthy and explicit than what is covered here. Figure 1: Diagram of Raspberry Pi Model BBeing slightly larger than a credit card and armed with an array of ports for input and output, theRaspberry Pi comes in two models: Revision 1.0 boards (Model A) and Revision 2.0 boards(Model B). Shared features include a Broadcom BCM2835 system on a chip [a 700MHz ARM11family central processing

Relevance Score: 0.032716304

Brain Signals Analysis during Meditation and Problem Solving

Collection: 2015 Northeast Section Meeting
Authors: Hussain AlHassan; Navarun Gupta

and see if it will increase the awareness of the brain. It will give us moreclues regarding brain functions. The result will lead to better control of productivity. These resultsare necessary to figuring out how to stimulate relaxation without external influences such as place,material, and moment. © American Society for Engineering Education 2015 2015 ASEE Northeast Section ConferenceReferences1 S. Phongsuphap and Y. Pongsupap, “ Analysis of heart rate variability during meditation by a pattern recognition method,” Computing in Cardiology, vol. 38, pp. 197-200, 2011.2 M. A. Vazquez, J. Jin, J. Dauwels, and F. B. Vialatte, “ Automated detection of paroxysmal gamma waves

Relevance Score: 0.032709967

Psychometric Analysis of Residence and MOOC Assessments

Conference Session: Examining "Big" Data
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Eric Loken, Pennsylvania State University; Zita Oravecz, Pennsylvania State University; Conrad Tucker, Pennsylvania State University, University Park; Fridolin Jakob Linder, Pennsylvania State University
Tagged Divisions: Educational Research and Methods

-dimensionalconstruct of interest, and the parameters aj, bj, and cj, for the jth item. a j ( i b j ) e (1) P ( X ij |  i ; a j , b j , c j )  c j  (1  c j ) a ( b ) 1 e j i jThe difficulty (or threshold) parameter bj is understood to be “on the same scale” as θ, allowingfor the matching of items and examinees. The discrimination (or slope) parameter aj determinesthe rate of ascent from the lower asymptote to 1. Finally, cj

Relevance Score: 0.03268505

Design and Implementation of an Inexpensive Laboratory for Providing Hands-on Design Prototyping and Manufacturing Experiences to Engineering Students

Conference Session: Innovations in Manufacturing Laboratories
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Jeremy John Vaillant, University of Massachusetts, Lowell ; Christopher J. Hansen, University of Massachusetts, Lowell; Stephen Johnston, University of Massachusetts, Lowell; Sammy G. Shina, University of Massachusetts, Lowell; David Willis, University of Massachusetts, Lowell
Tagged Divisions: Manufacturing

components: (1) mechanical hardware; (2) electronics hardware; and (3)control software. The integration of these components yields varying levels of manufacturingtool cost, reliability and accuracy.2.1.1 Mechanical HardwareMulti-axis CNC motion can be generated using one of four methods: (1) moving gan-try/stationary bed Figure 2-1 (A & B); (2) moving gantry/moving bed Figure 2-1 (C & D); (3)stationary tool/moving bed Figure 2-2 (E & F); and (4) delta machine Figure 2-2 (G & H). Thecharacteristics and benefits of each are listed in Figure 2-1.The strategy differences in generating linear motion can be neglected in larger commercial CNCmachinery as they have been developed to compensate for loses. For example, a moving bed sys-tem

Relevance Score: 0.032647695

The Effectiveness of an Adaptive Serious Game for Digital Logic Design

Conference Session: NSF Grantees’ Poster Session
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Ying Tang, Rowan University; Kauser Jahan, Rowan University; Talbot Bielefeldt, Clearwater Program Evaluation
Tagged Topics: NSF Grantees Poster Session

character, Jack, witnesses a traffic accident at the major intersectionof a town and then invites a player to help him fix the faulty traffic light system with the rightlogic specified in Fig. 1 (b). Rather than rely on dry instructional prompts, the game introduces Page 26.1523.3the player to an artificial intelligence (AI) that guides him/her through the actions necessary torepair the logic circuit. Meantime, the AI presents learning roadmap to the player, one of themetacognitive interventions in the game to show the key milestones and actions that might betaken in the design process as seen in Fig. 2 (a). While the player walks through the map

Relevance Score: 0.032620966

Factors of Group Design Decision Making

Conference Session: Working in Teams: ERM Roundtable
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Andrew Jackson, Purdue University, West Lafayette; Nathan Mentzer, Purdue University, West Lafayette; Angelika N Zissimopoulos, Purdue University, West Lafayette
Tagged Divisions: Educational Research and Methods

, the factorial validity of the decision-makingquestionnaire was tested. The researchers predicted that: (a) indicators related to group decision-making processes would load appropriately on three factors (Processing Information,Understanding Decisions, and Processing Alternatives), (b) error terms would be uncorrelated,and (c) no items would cross-load. The factors were permitted to covary based on the hypothesisthat they are related facets that constitute the overall decision process. The hypothesized modelfor the factorial structure of effective group design decision making is in Figure 1. Figure 1. Hypothesized CFA Model for effective design decision making.* An error during creation of the revised survey led to the

Relevance Score: 0.032587174

RFID Signal Penetration Through Particulate Solids

Conference Session: Instrumentation Division Technical Session 2
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Lash Mapa, Purdue University Calumet (College of Technology)
Tagged Divisions: Instrumentation

2.057 1.530 2.211 1.600 Table 2: Input factor and levels investigated Name Low High Factor A Type Rice Salt Factor B Density Free Tap Factor C Tag Position Front Back Free = Free flow density Tap = Tap density (after vibration) Page 26.1347.7 Table 3. Design matrix for the factor investigation. Std Runs A

Relevance Score: 0.032580495

Application of Web-Published Virtual Instruments in Delivering Engineering Instructions and Performing Experimental Research

Conference Session: Virtual Instruction and Collaboration
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Shahnam Navaee, Georgia Southern University
Tagged Divisions: Computers in Education

Figures 2 and 4 are performed by calling a number of other subVIs designed by theauthor. In the development of several of these subVIs, various computing and programming featuresof MATLAB were utilized. The block diagram of the two main VIs presented in Figures 2 and 4are provided in Figures 5(A) and 5(B). The specific details involved in the actual programming ofthese VIs are not the main focus of this paper and therefore are not included here.Creation of Web Published LabVIEW Virtual InstrumentsPrior to the utilization of the VIs described in the previous section, these VIs were converted intoHTLM files so that they can be accessed and ran by the author in various classroom locations oncampus. The four stages involved in the conversion of a

Relevance Score: 0.03255201

Investigating the Synergies of Sustainability and BIM through Collaborative Project-based Learning

Conference Session: Design Pedagogy
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Wei Wu, California State University, Fresno; Yupeng Luo, California State University, Fresno
Tagged Divisions: Design in Engineering Education

. Page 26.1043.7 Figure 2. Project manual specifications: (a) contents; and (b) formatting. Figure 3. Exhibits of student works of the joint course project.Assessment results and discussionThrough the joint course project, instructors collected the assessment data following theassessment plan specified in the preceding Table 1. Each SLO was assessed through multiple Page 26.1043.8measures. For each direct measure, instructors developed certain metrics and grading rubrics toassess relevant student assignments and activities. For instance, Model & Design Documentationis a direct measure utilized to assess SLO 1