Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University

developmentcost, and overhead. Several alternatives may be proposed. Customers may choose an alternativebased on its rate of return, request a hybrid of two or more of the proposed alternatives, or notaccept any proposed design. In the crayon manufacturing case study, two alternatives areproposed (Figure 9). One alternative is to have fewer parallel workstations and parallelproduction lines but work three shifts (Design A) versus more parallel workstations andproduction lines but work two shifts (Design B).Figure 10 shows the molding process from the proposed conceptual design and Figure 11 showsthat conceptual design A was favorable due to its higher rate of return given the same unit profit. Figure 9. Cost comparison of

Conference Session

Computer Education Innovations II

Collection

2010 Annual Conference & Exposition

Authors

Suxia Cui, Prairie View A&M University; Yonghui Wang, Prairie View A&M University; Siew Koay, Prairie View A&M University; Yonggao Yang, Prairie View A&M University

Tagged Divisions

Computers in Education

. dbSetWindowTitle("Basic 2D Shapes"); // Draw a dot. dbDot(w/8, h/8); // Draw a line. dbLine(w/4, h/8, w/2, h/3); // Draw a box. dbBox(w/1.8, h/8, w/1.3, h/3); // Draw a circle. dbCircle(w/3.5, h/1.6, h/4); // Draw a ellipse. dbEllipse(w/1.5, h/1.5, h/3, h/5); // Wait for the user to press a key. dbWaitKey() ; } (a) (b) Fig. 3: An example of Dark GDK Page 15.1039.5 As everyone knows, people like to work on or be attracted by things relevant to them or theyare familiar with 14, 15

Conference Session

Mentoring Graduate Students, Diversity, and Assessment

Collection

2010 Annual Conference & Exposition

Authors

Stephen Thompson, University of South Carolina; Joy Watson, University of South Carolina; Jed Lyons, University of South Carolina

Tagged Divisions

Graduate Studies

collaboratively in partnerships withmiddle school Science teachers. The GK-12 Fellows, from engineering and science disciplines,spent one to two days each week over an entire school year in the middle school classrooms.Their primary objectives in the classrooms were co-developing and co-teaching student lessonsfocused on science and engineering concepts.The Science Teaching Efficacy Belief Instrument (STEBI-B) and supporting focus group datawere used to measure the GK-12 Fellows’ teaching efficacy. The STEBI-B was originallydeveloped by Enochs and Riggs to measure elementary Science teaching efficacy. TheSTEBI-B has been validated and found to be a reliable instrument for measuring Scienceteaching efficacy. Since its development, modified versions have

Conference Session

Assessment & Continuous Improvement in ECET: Part II

Collection

2010 Annual Conference & Exposition

Authors

Jane LeClair, Excelsior College; Li-Fang Shih, Excelsior College

Tagged Divisions

Engineering Technology

495) Metric 2 (Alumni Surveys)Outcomes TAC of ABET Criterion Program Outcomes (CPO) TAC of ABET Program Criteria Outcomes (PC)1 CPO: a, b, f The average score for ELEC The mean of graduates’ PC: AAS-b, BS-a 495 students’ learning perceptions of their statements and supporting achievement of program evidence for program outcome outcome 1 is 5.58 (out of 7.0 1 is 2.5 (out of 3.0 scale). scale).2 CPO: a, c, f The average score for ELEC The mean

Collection

2010 ASEE Midwest Section Conference

Authors

E. Carl Greco; Jim D. Reasoner; Daniel Bullock; Carlos Castillo; Patricia Buford; Gill Richards

knowledge on the lab practicum results, thecontrol and solo groups were sub-divided into two partitions based on the students' grades in thecompanion circuits lecture course (CircuitsII). Students who earned an A or B in CircuitsII weresegregated from those earned a C or less. The A-B partitions included 80% and 60% in thecontrol and solo groups, respectively. A comparison between the lab practicum grades betweenthese two partitions for the control group yielded no significant difference. However, in the sologroup there was a statistical difference between the A-B and C or less partitions (D=0.33 andp<0.05). The cumulative distribution functions for the combined control group and the two sologroup partitions are shown in Figure 3. The A-B solo

Conference Session

Innovative Instructional Strategies and Curricula

Collection

2010 Annual Conference & Exposition

Authors

Murray Teitell, DeVry University, Long Beach; William Sullivan, DeVry University

Tagged Divisions

Mathematics

to the academic and career goals of thestudent. This began the active learning process. An example of “The Frame” is illustrated in Figure 1. The student has an interest in howdiseases spread. The student’s career goal was to go into a biomedical field. The studentresearched the process and found a set of differential equations that model the spread of diseasefor a particular and general case.5,6Figure 1. “The Frame” utilized in the context of the spreading of disease. Susceptible βI Infected g Recoveredβ = transmission rate, B = birth rate, d = death rate, R0 = reproductive rate (rate that infectedpersons cause new infected persons), g = recovery rate, S, I and R are the populations of thethree

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Alisa Gilmore, University of Nebraska, Lincoln; Herbert Detloff, University of Nebraska, Lincoln at Omaha

Tagged Divisions

Computers in Education

in Information Technology (SPIRIT). A final evaluation report for the National Science Foundation Project #0525111, October 31, 2008. Accessed on January 21, 2009 from http://www.ceen.unomaha.edu/TekBots/SPIRIT2/Reports/. 4. Grandgenett, N.F., Chen, B., Ostler, E. (2007). Project Proposal: The Silicon Prairie Initiative for Robotics in Information Technology 2.0 (SPIRIT 2.0). A Discovery K-12 Proposal for the National Science Foundation Project #0733228. 5. Grandgenett, N.F., Chen, B., Ostler, E., Timms, M. (2008). Project Report: The Silicon Prairie Initiative for Robotics in Information Technology 2.0 (SPIRIT 2.0). An evaluation report for the National Science Foundation Project

Conference Session

Curriculum in Mechanical Engineering Technology: Part I

Collection

2010 Annual Conference & Exposition

Authors

Michael Johnson, Texas A&M University; Udaya Bhanu Prakash Sunku, Texas A&M University

Tagged Divisions

Engineering Technology

capabilities(feature-based, parametric, and provides solid models) of CAD programs and can be easilyadapted to most platforms. a. b. Figure 2. a.) Original Part; b.) Altered Part.Exercise 2The goal of the second exercise is to introduce students to relations and reference geometry, andexplain their use in relaying design intent. The students are told to draw a simple extruded boxsection. They are then instructed to put a through slot in the front of the box section; the slot is aspecified vertical distance from the top of the box section and centered horizontally on the frontface. Next, a second through slot is added to the box section. It is specified that

Conference Session

Student Attitudes and Perceptions

Collection

2010 Annual Conference & Exposition

Authors

Justin Micomonaco, Michigan State University; Jon Sticklen, Michigan State University

Tagged Divisions

Educational Research and Methods

, 2010 Toward a Better Understanding of Academic and Social Integration: A Qualitative Study of Factors Related to Persistence in EngineeringAbstract In general, the challenge to produce more engineers in the United States can beunderstood as two-pronged: (a) recruiting students to the field of engineering; and (b) retainingstudents in the discipline. There have been considerable efforts to recruit additional students toengineering which have yielded modest results. However, the increase in enrollment has notcoincided with an increase in engineering graduates. Therefore the departure of students from thediscipline remains an issue. Using a recently proposed model of engineer retention by

Conference Session

Electrical and Computer Engineering Laboratories

Collection

2010 Annual Conference & Exposition

Authors

Esther Ososanya, University of the District of Columbia; Samuel Lakeou, University of the District of Columbia; Wagdy Mahmoud, University of the District of Columbia; Amarachukwu C Ukaegbu, University of the District of Columbia; Lily Kemathe, University of the District of Columbia

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Figure 5(a). Vantage Pro 2 Console Figure5(b). Integrated Sensor Suite (ISS)The Vantage Pro2 can display up to 24 units of data, such as the last 24 minutes, hours, days, andmonths. When it is connected to a PC, using its WeatherLink software package it can log dataevery 10 seconds. The wireless ISS has a range of 400 feet through walls, 1000 feet line of sight.Other modules include a system designed to be run solely or predominantly in the daytime, thatwill not be needed or rarely used in the night, such as, an attic exhaust fan which will be usedmainly during the day to help keep down the temperature in the roof and operate solely onrenewable energy in conjunction with a thermostat. A solar powered led display system to showan

Conference Session

Special Session: Impacts of Service in Engineering

Collection

2010 Annual Conference & Exposition

Authors

Olga Pierrakos, James Madison University; Eric Pappas, James Madison University

Tagged Divisions

Educational Research and Methods

research design approach to bemore relevant given the nature of our research questions as well as our desire to gain in depthinsight into students’ learning. More specifically, we collected data from: (a) a series of open-ended questions that were a part of a project evaluation questionnaire that was administered atthe end of the semester, (b) a couple of Likert-scale items, which were a part of the end ofsemester course evaluation and were designed to measure the value and difficulty of the project,(c) observations made by two assessment specialists, which served as external evaluators to thiseffort. Page 15.1082.4The data analysis of the open

Conference Session

Fulfilling the CE BOK2 - Case Studies

Collection

2010 Annual Conference & Exposition

Authors

Kevin Sutterer, Rose Hulman Institute Of Technology

Tagged Divisions

Civil Engineering

civil engineering curricula. Considering specifically the BOK2, acoordinated list of 24 outcomes is presented within three outcome categories: Foundational,Technical and Professional. The outcomes identify the desired level of achievement definedaccording to Bloom’s Taxonomy for the cognitive domain3,4. Additionally, the BOK2 hasrecommended outcome achievement targets for each portion of the fulfillment pathway: for thebaccalaureate degree (B), post-baccalaureate formal education (M/30), and pre-licensureexperience (E). The emphasis herein is on those outcomes and achievement targets for thebaccalaureate degree.The BOK2 Outcomes Rubric, using Bloom’s Taxonomy, is graphically presented in Figure 1.The reader is cautioned that this is a simple

Conference Session

Mechanical and Architectural Engineering Laboratories

Collection

2010 Annual Conference & Exposition

Authors

Anthony Toyama, Texas A&M University at Qatar; Reza Sadr, Texas A&M University at Qatar

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Arab GulfStates. Proceedings, 2005 Annual Conference of the American Society for Engineering Education.[8] Al-Sammik, A., Al-Shehabi, H. (2006) Special Issue: From Region to Countries: Engineeringeducation in Bahrain. IEEE Technology and Society Magazine 25. 2. Pg. 12-17.[9] Akili, W. (2005). Active Learning: A Range of Options Intended for Engineering Faculty in the Arab GulfStates. Proceedings, 2005 Annual Conference of the American Society for Engineering Education.. Page 15.739.12[10] (2009) Education City Enrollment. TAMUQ Internal Document. 12-9-2009.[11] Oberst, B., Jones, R. (2006) Today and Tomorrow: Engineering Education

Conference Session

Best Practices in Existing College-Industry Partnerships

Collection

2010 Annual Conference & Exposition

Authors

Mamdouh Bakr, University of Arkansas at Little Rock, Dept. Of Engineering Technology

Tagged Divisions

College-Industry Partnerships

the various project factors issummarized in the following tables. Table -1 defines the various project factors and theirassociated levels, and Table -2 shows the various projects, the factors scores and the conceivedsuccess score for each project.3 Page 15.894.5 Table 1: Industry – University Project Characteristic Factors and Factor Level DefinitionFactor Project Characteristic Factors Factor Level Definition1. SIC (Standard Industrial Classification)2. Company Size: (Number of (A) 1-10, (B) 11-49, (C) 50-99, (D) 100-199, (E) 200-299

Conference Session

Curriculum in Mechanical Engineering Technology: Part I

Collection

2010 Annual Conference & Exposition

Authors

N.M. Hossain, Eastern Washington University; Jason Durfee, Eastern Washington University

Tagged Divisions

Engineering Technology

Page 15.1201.2lack of concepts. This phenomenon has already been identified by Benjamin Bloom in hiscognitive Taxonomy1 during 1950. He identified six levels in education that most educatorsconsider during teaching. Later on, a former student of Bloom revised the learning taxonomy bychanging the names in the six categories from noun to verb forms, and slightly rearranging them.As a quick review, the six levels of Bloom’s cognitive domain in the original and revised formsare presented in Figure 1.0 below. Figure 1: Bloom’s taxonomy1 of cognitive learning (a) Original, (b) RevisedEducators are very familiar with the concept presented in Bloom’s Taxonomy. Program classesin the freshman and sophomore levels often emphasize the “Knowledge

Conference Session

New Learning Paradigms I

Collection

2010 Annual Conference & Exposition

Authors

Kendra Seniow, Oregon State University; Eric Nefcy, Oregon State University; Christine Kelly, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

Sample port SiCl2H2 Figure 1. Schematic of the equipment simulated by the two virtual laboratories: (a) bioreactor and (b) chemical vapor deposition reactor. The virtual laboratories provide student teams dynamic access to data as they choose what runs and the measurements to make in a structure that requires iterative convergence on a solution, which specifically promote and develop students’ use of strategic knowledge. Success is intimately coupled not only to the ability to develop models to analyze and interpret this new information, but also to the ability to identify what information will be useful and how to move closer

Conference Session

Mentoring Graduate Students, Diversity, and Assessment

Collection

2010 Annual Conference & Exposition

Authors

Adrienne Minerick, Mississippi State University; Rafael Hernandez, Mississippi State University

Tagged Divisions

Graduate Studies

research (Minerick) a. DUE: Mentoring & education sections of proposal (1.5 pages)19) Intellectual Merit & Broader Impacts (Hernandez) a. DUE: Draft of Project Summary (1 page)20) DUE: Penultimate draft of proposal a. Discussions with Instructors: Feedback on draft proposal21) Oral Presentations tips a. Style and substance (Hernandez) b. Speaker, slides, audience (Minerick) c. DUE: Outline of presentation22) DUE: Final Proposal distributed to committees (24 July) a. Review of document using rubric provided23) Prepare slides for presentation a. DUE: Presentation slides b. Practice with Instructors: Feedback on presentation slides (30 & 31 July)24) Topic oral presentations in

Conference Session

Computers in Education Poster Session

Collection

2010 Annual Conference & Exposition

Authors

J. Wey Chen, Southern Taiwan University

Tagged Divisions

Computers in Education

Model for Computer Science TeachingThe modified van Hiele model of computer programming thinking still consisted of three majorelements: (a) the nature of insight, (b) the levels of thought, and (c) the phases of learning. Thefive-levels of thought of learning computer programming were dubbed: "visual", "descriptive","theoretical", "form logic modification and analogy", and "abstraction and modeling". In addition,the five sequential instructional steps, which they assert will take students through a reasoninglevel, will be integrated into the model to help students progress from one level to the next higherlevel. The sequence is shown in outline form below.1. Information: New topics are introduced through guided dialog. A. Teacher assesses

Conference Session

Focus on Faculty

Collection

2010 Annual Conference & Exposition

Authors

Keisha Walters, Mississippi State University; Soumya Srivastava, Mississippi State University; Adrienne Minerick, Mississippi State University; Jacqueline Hall, Mississippi State University; Kaela Leonard, Michigan Technological University; Amy Parker, Mississippi State University; Heather Thomas, Mississippi State University

Tagged Divisions

Women in Engineering

AC 2010-467: INSTRUCTOR AND STUDENT PERSPECTIVES ON A GRADUATEPROFESSIONAL DEVELOPMENT COURSE: CAREER ISSUES FOR WOMEN INENGINEERINGKeisha Walters, Mississippi State University Dr. Keisha B. Walters is an Assistant Professor of Chemical Engineering at Mississippi State University. She received her B.S. degree in Biological Sciences from Clemson University in 1996 and her M.S. and Ph.D. degrees in Chemical Engineering from Clemson University in 2001 and 2005. Dr. Walters’ research involves the development and surface modification of stimuli- responsive and bio-inspired polymeric materials. She has been a member of ASEE since 2002.Adrienne Minerick, Mississippi State University Dr. Adrienne Minerick

Collection

2010 Fall ASEE Middle Atlantic Section Conference

Authors

Ani Ural; Joseph Yost

Δε Unloading A Unloading P Permanent ε (in./in.) unloaded loaded P ε = δ/L (in./in.) deformation (a) (b) (c) (d)Figure 1: (a) Axial load experiment. (b) Internal material and normal stress. (c) Stress

Conference Session

Outstanding Contributions - Mechanical Engineering Education

Collection

2010 Annual Conference & Exposition

Authors

Matthew Green, LeTourneau University; Carolyn Conner Seepersad, University of Texas, Austin; Katja Holtta-Otto, University of Massachusetts Dartmouth

Tagged Divisions

Mechanical Engineering

unsolicitedcomments from students after class such as “thank you for doing this [assistive] project.” Figure 2: Automated Pill Dispenser Prototype, Accommodating Multiple Disabilities (Functional prototype and photo by “Team #18”: B. Ludwig, N. Bryant, and C. Schults)3.2 Course Background: 3rd Year Design Methods rdThe 3 year Design Methods course strengthens and extends the foundational conceptsintroduced in 1st year Cornerstones Design for all engineering and engineering technologymajors, excluding materials joining and civil engineering (60-90 students per year.) Studentsexplore a variety of engineering design methods through a semester-long reverse-engineering re-design team project. Example topics include: planning the

Collection

2010 ASEE Zone 1 Conference

Authors

Ming Xia; Xingguo Xiong

: , where A, B, C and D are coefficients to be decided. Putting w(x)into above equations, we haveThus the bending shape of the nanotube cantilever can be described as:The maximum bending deflection occurs at the end of the cantilever, which can be calculated asAs a result, the effective spring constant of the carbon nanotube cantilever is found to be (3)2.2 The Equivalent Mass of Carbon Nanotube Resonator Figure 4. Bending shape of carbon nanotube resonator due to attached mass at the end tipIn simplified spring-mass model, the mass of the spring is omitted. However, the above nanotube

Conference Session

Laboratory Development in ECE

Collection

2010 Annual Conference & Exposition

Authors

Kejia Li, Kansas State University; Steve Warren, Kansas State University

Tagged Divisions

Electrical and Computer

Acquisition and Analysis in the ClassroomAbstractPulse oximetry is an essential health-monitoring technique in both clinical and home careenvironments. From an engineering education perspective, pulse oximeter technology offersexcellent study material in areas such as light-based sensor construction, embedded systemdesign, control theory, and digital signal processing. However, off-the-shelf pulse oximeters donot provide suitable educational platforms for several reasons: (a) their design layouts andinternal data flows are inaccessible to the user, (b) units that display photo-plethysmographic/pulse waveforms or make those signals available to the user provide data that have already beenfiltered in an unspecified manner, and (c) sensor sites are

Conference Session

Enhancing K-12 STEM Education with Engineering

Collection

2010 Annual Conference & Exposition

Authors

Tirupalavanam Ganesh, Arizona State University; John Thieken, Arizona State University

Tagged Divisions

K-12 & Pre-College Engineering

to work in the teacher’s regular classroom.Project TeamThe project team included nine university researchers and faculty with expertise in the areas ofengineering (Materials Science and Engineering, Industrial Engineering, Computer Science andEngineering), sustainability, science education, mathematics education, earth and space science,geology, counseling psychology, instructional technology, and education research methods.Project staff included: a) a female science educator with a masters degree in education and 14-years of experience teaching in high school settings and in a community college; b) a malegraduate research associate with a bachelor’s degree in mechanical engineering and a master’sdegree in mathematics education who worked

Conference Session

Student Attitudes and Perceptions

Collection

2010 Annual Conference & Exposition

Authors

Dazhi Yang, Purdue University; Aidsa Santiago Roman, University of Puerto Rico, Mayagüez; Ruth Streveler, Purdue Universtiy; Ronald Miller, Colorado School of Mines; James Slotta, University of Toronto; Michelene Chi

Tagged Divisions

Educational Research and Methods

the training modules were designed forfacilitating students’ conceptual change by helping them develop appropriate schemas orconceptual frameworks for learning difficult engineering concepts specific research questionswere: 1. How effective did the schema training modules help engineering students develop the appropriate schemas for learning difficult key engineering concepts in a. diffusion; b. heat transfer; and c. microfluidics? 2. How effective did the schema training modules facilitate students’ conceptual change in terms of the kind of emergent process language they displaced?Research Design An experimental study with 60 junior or senior engineering students was conducted at alarge Midwestern US research

Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Tirupalavanam Ganesh, Arizona State University; John Thieken, Arizona State University; Dale Baker, Arizona State University; Stephen Krause, Arizona State University; Monica Elser, Arizona State University; Wendy Taylor, Arizona State University; Chell Roberts, Arizona State University; Jay Golden, Ph.D., is a faculty member in ASU’s School of Sustainability and codirector of the; James Middleton, Arizona State University; Sharon Robinson Kurpius

technology centered, discovery-based, extracurricular learning experience for urbanyouth from underserved neighborhoods with a minimum of 120 contact hours per year for twoyears. Researchers envisioned student participants meeting the following short term programgoals: a) gain in-depth knowledge of STEM concepts by working on intellectually engaging andsocially responsible complex problems; b) learn collaboration, teamwork, and workplace skillsmentioned in the SCANS report12 through mentoring experiences that include interactions withadults, peers, and younger peers; c) confront stereotypes about females and minorities in STEMprofessions through cognitive apprenticeship offered by diverse mentors; and d) gain thenecessary knowledge to engage with

Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Nathan Klingbeil, Wright State University; Byron Newberry, Oklahoma Christian University of Science and Arts; Anthony Donaldson, California Baptist University; Joan Ozdogan, Chantilly High School Academy

.5. Brandford, J.D., et al., Eds., “How People Learn: Brain, Mind, Experience and School,” Expanded Edition, National Academy of Sciences, 2000.6. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D. and Mercer, R., 2009, “The Wright State Model for Engineering Mathematics Education: A Nationwide Adoption, Assessment and Evaluation,” Proceedings 2009 ASEE Annual Conference & Exposition, Austin, TX, June, 2009.7. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., Kukreti, A. and Randolph, B., 2008, “The WSU Model for Engineering Mathematics Education: A Multiyear Assessment and Expansion to Collaborating Institutions,” Proceedings 2008 ASEE Annual Conference & Exposition, Pittsburgh, PA, June

Conference Session

Teaching Technological Literacy - Engaging Students

Collection

2010 Annual Conference & Exposition

Authors

Thomas Howell, San Jose State University; Patricia Backer, San Jose State University; Belle Wei, San Jose State University

Tagged Divisions

Technological Literacy Constituent Committee

the GE Goals for its area orother course goals and changes that the department has made to try to improve student successwith respect to the GE Student Learning Objectives (SLOs). Since the Department of GeneralEngineering is the home department for Engr 5, the formal assessment reports for Engr 5 are duein Fall 2012.Figure 2. Goals and Student Learning Objectives for Area B, SJSU General Education18 Core General Education: – SCIENCE (B1, B2, B3) A. Goals Science is a continuous and adaptive process through which we discover and communicate how the natural world works, separate fact from inference, and establish testable hypotheses. All students

Conference Session

Effective Methods for Recruiting Women to Engineering

Collection

2010 Annual Conference & Exposition

Authors

Manjusha Saraswathiamma, North Dakota State University; Kathy Enger, North Dakota State University; Canan Bilen-Green, North Dakota State University; Achinthya Bazebaruah, North Dakota State University; Bruce Schumacher, North Dakota State University

Tagged Divisions

Women in Engineering

AC 2010-1247: DESIGNING MODEL-BASED SOLUTIONS TO LEAKY FEMALEENGINEERING PIPELINE: A QUALITATIVE STUDY OF FEMALE ENGINEERNARRATIVESManjusha Saraswathiamma, North Dakota State University Manjusha T. Saraswathiamma is an ABD doctoral student in the School of Education at North Dakota State University and a Chemistry Instructor at Minnesota State Community and Technical College, Moorhead, Minnesota. She received her Master of Technology degree from Cochin University of Science and Technology, and Master of Science and Bachelor of Science degrees from Mahatma Gandhi University, India.Kathy Enger, North Dakota State University Kathy B. Enger is an Assistant Professor of Education at North Dakota State

Conference Session

Robotics in Education

Collection

2010 Annual Conference & Exposition

Authors

Carlotta Berry, Rose-Hulman Institute of Technology

Tagged Divisions

Computers in Education

studentsstudents 6 15 4 10 2 5 0 0 JR SR GR a. Student Majors b. Student Classifications Figure 1: Course DemographicsLabsIn spring 2007, one of the more successful lab experiments was the implementation of followcenter, follow object and follow robot behaviors on the Traxster I. The robot had 4 infraredsensors mounted on the chassis and 3 mounted on the servo. Reactive control was