interdisciplinary student projectdesign.AcknowledgementThe authors would like to thank Dr. Charles Perry, Professor and Russell Chair of Manufacturingat MTSU, for supporting the robotic competition.References1 Mehrubeoglu, Mehrube. "A Lego Robot Project Using Concept Maps and Peer-LedTeams for a Freshman Course in Engineering and Engineering Technology." American Societyfor Engineering Education Annual Conference & Exposition, 2009.2 Rex H. Wong and Sheng-Jen “Tony” Hsieh. “MAKER: An Entry-Level Robotic SystemDesign Project for Undergraduates and K12.” American Society for Engineering Educationannual conference & Exposition. New Orleans, LA, June 26-29, 20163 Korpela, C. M., and W. J. Adams. "Robotics in multidiscipline
: Brain Dump/Free write 1% T: Cooperative cases 2% R: Concept maps 2% K: Self/ peer formative assessment 2% C: Think/Pair/Share 2% J: Computer based interaction… 3% I: Formative quizzes / surveys 3% S: Cases 7% A: Student orally respond to a… 7% P: Debates 8% L: Small group presentations /… 8% M: Role playing/simulations… 13% V: Cooperative learning/problem… 15% G: Application activity
cognitive and pedagogical underpinnings of learning with computer-based multimedia re- sources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of instructional principles and assessments in STEM. He is currently a Senior Associate Editor of the Journal of Engineering Education.Dr. Prashanta Dutta, Washington State University Prof. Prashanta Dutta has received his PhD degree in Mechanical Engineering from the Texas A&M University in 2001. Since then he has been working as an Assistant Professor at the School of Mechanical and Materials Engineering at Washington State University. He was promoted to the rank of Associate and Full Professor in 2007 and
, and, if necessary, (iv)determine a quantitative response given a system input. At each step along this process, studentswill develop and implement a variety of analytical tools. This concept map is arrangedgraphically in Figure 2. Figure 1: Prerequisite knowledge and outcomes for BMED 310 Figure 2: Graphical map of concepts taught in BMED 310 in the framework of a problem- solving process.Developing these skills independently is possible but does not achieve the goal of connected theseparate “tools” across disciplines. One of the best ways to develop cross-disciplinary bridgesbetween disparate knowledge fields is through a multidisciplinary project.BackgroundThe backdrop for this
and results section of this report.CE 340 is only offered in the fall semester, at which time both sustainability and resiliency wascovered. For each ALM, the lecture was a standalone lecture with a PowerPoint presentation andan instructor guided group discussion. The sustainability ALM was considered by the instructoreasier to implement as the material cost and environmental impact are already covered in theregular course content. Resilience concepts were covered by relating mitigation methods for civilinfrastructure during a disaster event. Methods of assessment included the use of concept maps.Students were given concept maps as a take home activity, and offered extra credit uponcompletion of the activity.CE 360 is a spring only class, and
touch fasteners. c American Society for Engineering Education, 2020 Replacing Graded Homework Assignments in StaticsAbstractInnovation in Statics instruction is an important area of research with new approaches including:flipped classroom, concept mapping, on-line homework, and others. Most traditional teaching ofStatics has involved a homework assignment where the students solve problems similar to thosefrom lecture. The homework problems serve to reinforce the new concepts and to develop thestudents’ ability to solve math and physics based problems. These homework assignments havealso typically been graded student assessments.The challenge with using these homework problem sets for student
associated with taking charge of the discourseassociated with one’s own professional identity. Page 12.1608.6The issue of agency and the discomfort it can create is latent in the above passage, in that thestudent is finding she needs to make a choice about how to best represent the strength of heraffiliation with engineering. The passage below suggests a different type of discomfort, adiscomfort that stems from asking a difficult question.Q. Just generally how did you make your portfolio? I meanyou've got a concept map there about processes, what was theprocess that you went through in making your portfolio?A. Uh, I I started with, um, what
software and hardware that person used, or she mightsketch out a concept map of the book to make sure she has a solid understanding of the contentshe will need to include. The higher her expectation that she can successfully write the book, thehigher her motivation will be. According to VIE Theory, all three elements must be present for motivation to exist. Fora person to want to perform a behavior, the behavior must be associated with one or more goals,and there must be some expected valance (value coming from the behavior itself and/or one ormore of the goals), and there must be instrumentality (belief that the behavior does contribute tothe progress toward the goals), and there must be expectancy (belief that the behavior is withinthe
choice (3-5 students)Activity Type: groups-teamwork, competition Page 11.663.10Standards Addressed: Science Earth and Space Science Scientific Ways of Knowing Technology Technology and Society Interaction Design The Bengal’s Oily Mess lesson was presented to three 11th grade Environmental Scienceclasses in October 2005. The activity was introduced through the use of the “Water PollutionMap,” a concept map that focused on water pollution and its relationship to the Ohio River.Following the conclusion of this teacher-led class discussion, The Bengal’s Oily Mess scenariowas
to be taken by all the graduating students of ECET at theassociate level. This examination will comprise of: “the concept mapping“of all the corecourses of ECET curriculum (Circuit theory, Digital Electronics, Analog Electronics andComputer Programming).Constituency: StudentsMethodology of Data Gathering: A computational examination.Data collection frequency: Each Semester.Data collection responsibility: Department Assessment CommitteeStatistical Analysis: Descriptive and/or InferentialFrequency of Analysis and Interpretation: Every two years.Responsibility for Analysis, Interpretation and Implementation resulting inContinuous Improvement: Department FacultyFaculty Responsible: Professor XAssessment Goal: Each semester 55% of the ECET
Mechanical Design Process, First Edition, McGraw-Hill, New York (1992). 16. Ulrich, Karl T., and Steven D. Eppinger, Product Design and Development, 4th Edition, McGraw-Hill, New York, (2008). 17. Otto, Kevin N., and Wood, Kristin L., Product Design: Techniques in Reverse Engineering and New Product Development, Prentice Hall, Upper Saddle River, New Jersey (2001). 18. Krupczak J.J, L. Aprill, and M. Mina, “Adaptations Of Concept Mapping For Technological Literacy Courses,” Proceedings of the American Society for Engineering Education 2011 Annual Conference, June 26 - 29, 2011 Vancouver, BC, Canada. Page
a comparison withprevious laboratory courses in materials, a noticeable improvement in the achievement of thelearning outcomes by the students was observed. In general, the students’ performance wasnoticeably superior, the student evaluations were extraordinary, and the grades assessed by theprofessor were above average. Page 23.845.12References1. Borrego, M., Newswander, C. B., McNair, L. D., McGinnis, S., and Paretti, M. C., “Using Concept Maps to Assess Interdisciplinary Integration of Green Engineering Knowledge”, ASEE Journal of Advances in Engineering Education, 1, No. 3, 2009, pp. 5 – 31.2. Arnold, D. P., Cros, F., Zana
, J.P., Johri, A., Pierce, R. S., North, C., 2012, “Advancing Personalized EngineeringLearning Via an Adaptive Concept Map,” AC2012-4792, Proceedings of the ASEE Annual Conference &Exposition, San Antonio, TX. Page 23.356.10
1 depicts two concept maps that summaries these notions in the context of RAL. The rightmap provides a broader view; the left map shows a learning episode in detail. RAL is made up ofexperiments which provide the space (conceptual or physical) for learning episodes to take place.RAL is therefore the enabler for these learning episodes. Learning outcomes define the nature of Page 25.605.4the learning episodes. Context and social environment impact on how these episodes areexperienced by the learner. Details of learning episodes are shown on the right. Activities allowthe application of knowledge and ideas to develop and practice skills; and
notes (derivations 5 8 17 11 9 3.22 etc.) Administrative information 4 13 17 6 10 3.10 (syllabus, etc.) Working Model simulations 6 13 15 10 6 2.94 Video of lecture 19 11 7 6 6 2.37 Concept maps 17 9 17 6 1 2.30II. Interactive Example ProblemsTo develop example problems for the web that have some degree of user interaction, the authorchose to use the e-learning authoring tool DazzlerMax™. DazzlerMax™ is a software productfor producing e
Principles of Product Development Flow. Redondo Beach, CA: Celeritas Publishing.12. Dow, S. P., Heddleston, K. and S. R. Klemmer. 2009. The efficacy of prototyping under time constraints. Source, Proc. C&C-09, Berkeley, CA, 165-174, ACM 978-1-60558-403-4/09/10.13. Jablokow, K. W. and M. J. Kirton. 2009. Problem solving, creativity, and the level-style distinction. Perspectives on the Nature of Intellectual Styles (L.-F. Zhang and R. J. Sternberg, Eds.), New York: Springer, 137–168.14. DeFranco, J.F., Jablokow, K.W., Bilen, S.G., and A. Gordon. 2012. The Impact of Cognitive Style on Concept Mapping: Visualizing Variations in the Structure of Ideas. Proc. of the ASEE 2012 Annual Conference & Exposition, San Antonio, TX.15
behaviourally accurate sub-system assemblies. A key learning outcome was to make explicit the extent to which virtualmodels can be relied upon to accurately predict the performance of physical models. Inaddition, the course learning goals were to include engineering materials science and problemsolving and modelling. Concept maps around these goals were developed with relevantexperts and the online FC content was based on these maps. Lectures were to be replacedwith large (600 students) active learning workshops facilitating the development of design Page 24.618.5process knowledge through collaborative learning. Technical learning outcomes
aloudprotocols, concept maps, exams and written reports, as well as the evaluation of students’ finaldesign prototypes.12-17 Each of these methods also has well documented limitations. Combiningseveral methods to cross-validate results compensates for these limitations; however,triangulating and analyzing multiple sources of data require considerable time and resources.Most methods use open-ended questioning strategies about how to attack a new design problem.For example, in the study by Kilgore et al., first-year students were asked to perform engineeringtasks during timed sessions.17 One prompt was “Over the summer the Midwest experiencedmassive flooding of the Mississippi River. What factors would you take into account indesigning a retaining wall
. Page 24.241.10Table A1Instruments within the Knowledge Domain Knowledge ABET Civil Engineering Program Criteria Survey Binghamton University Circuits Concept Inventory Chemistry Concept Inventory Computer-Assisted Performance Assessments Concept Maps for Engineering Education Conceptual Survey of Electricity and Magnetism Control Systems Concept Inventory Creative Engineering Design Assessment - Revised Critical Engineering Literacy Test - Revised Critical Thinking Assessment Test Design Process Knowledge Instruments Determining and Interpreting Resistive Electric Circuit Concepts Test (DIRECT) Diffusion of Engineering Education Innovations Survey Digital Logic Concept Inventory Draw an Engineer Test Dynamics
Education at Washington State University-Pullman. His research is positioned at the intersection of educational psy- chology, learning sciences, and instructional design and technology. Olusola’s current research focuses on the use of systematic reviews and meta-analyses for evidence-based practice, cognitive and pedagogical underpinnings of learning with computer-based multimedia resources including animated concept maps and diagrams; and investigation of instructional principles and assessments in STEM education. Page 24.296.1 c American Society for Engineering Education, 2014
year to support the knowledge-building themes of thiscourse. However, all exams and supporting materials for the class (such as concept maps andexample problems) maintained the same topics and depth of mechanics content.Knowledge Forum WorkspaceKnowledge Forum is an online asynchronous environment where users can contribute theories,working models, plans, evidence, data and resources by posting notes to views that are accessibleto all community members. Both notes and views are multimedia spaces, supporting text,graphics, and videos. Supportive features of Knowledge Forum allow users to build-on, co-author, and annotate notes of community members and to create reference links with citations toother notes. The build-on notes generate arrows
, teams develop concepts but do not build any prototypes or do any more detaileddesign work). This tool is similar to concept mapping in that students must graphically representall the steps they use to take a project from needs to a final product. The open-endedness of thistool has proven to generate a wide range of responses from students – which certainly will be achallenge to reliably score. Rubric development for this tool will take place in Spring 2005.CLOSUREBecause design process knowledge is less concrete than most of engineering, assessing ifstudents are learning it is very difficult. The first round of development of an assessmentstrategy has been completed and statistical analysis indicates that changes are necessary toincrease the
will be clustered into focus blocks.For example, one focus block might be operations research, another manufacturing systems, andstill another human factors. Once consensus has been reached on the blocks and the assignmentof courses, curriculum design teams will be formed for each block. A design team will consist ofno fewer than two and no more than three members and will include the lead faculty for eachcourse in the block. The curriculum design teams will be asked, for each course in its respectiveblock, to develop a list of outcome-related learning objectives, consistent with Felder and Brent(2003). Then, using the learning objectives as a guide, the team will construct a concept map foreach course, illustrating semantic relationships, and
ethicsneeds to be part of every course 24. While this may be very difficult to achieve in actuality, itcould be accomplished in many engineering course through the integration of social andhistorical aspects of the technology under study, use of concepts maps to place the technologyinto social and historical context, the use one-page essays on related topics, searching for relatednews items and assigning decision making and ethics problems related to the technical domain.Mikic and Grasso at Smith College have used design projects that challenges students to designtoys that introduce children to the principles that underlie technology 25. This design approachforces student to consider extrinsic design elements related to age and gender
disseminating information. • Learning through practice in the classroom rather than outside of it. • Learning by relating concepts together as in concept maps. • Learning by doing projects—team or individual. • Learning through hands-on activities.Teaching and learning today involves some combination from these lists (which are not intendedto be complete). On the one hand, it is similar to the curriculum of post World War II whichincluded both theoretical and practical aspects of engineering, however it did so through separateand unequal courses and the delivery was authoritarian. During the 1970's and 80's, thiscurriculum evolved into one with little practicum due primarily to growth in class size. On theother hand, today's
©2001, American Society for Engineering EducationAcknowledgementThis work was conducted with support from NSF through the Action Agenda Initiative underGrant No. EEC-9973002 and from the Leonhard Center for the Enhancement of EngineeringEducation.References1. National Science Foundation, Shaping the Future: New Expectations for Undergraduate Education in Science, Mathematics, Engineering, and Technology, Advisory to Committee to the National Science Foundation, Directorate for Education and Human Resources, 1996.2. Engineering Education: Designing an Adaptive System, National Research Council, National Academy Press, Washington, DC, 19953. Novak, J., Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools
creation of assessments for teamwork, professional development, and design skills learned in the context of team projects. He is also a Fellow of the American Society for Engineering Education.Olusola O. Adesope, Washington State University-Pullman Olusola O. Adesope is an Assistant Professor of Educational Psychology at Washington State Univer- sity, Pullman. His research interests center on the cognitive and pedagogical underpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of pedagogical practices for developing science
, (October, 2011) http://techpack.acm.org/Cloud/Cloud_computing.pdf 10. Dong, B., Zheng, Q., Yang, J., Li, H. & Qiao, M. (2009) “An eLearning Ecosystem Based on Cloud Computing Infrastructure”, Ninth IEEE International Conference on Advanced Learning Technologies, 11. Microsoft (2011), Windows Azure Platform, http://www.microsoft.com/azure/default.mspx 12. Amazon (2011) Amazon Elastic Compute Cloud (EC2). http://aws.amazon.com/ec2/ Page 25.318.1413. Google (2011b), Google Apps, http://code.google.com/appengine/ 14. Chen, R. & Liu, S. (2009) “Applying Concept Mapping on the Influent Learning in Virtual Classroom
each teammember’s mental model of the project using concept maps. In the fourth experiment both theindividual course assessments as well as the team’s project artifacts were evaluated to addressH3.In this fifth experiment, we tested a fourth hypothesis: H4.Use of the CCM in teams will improve individual learning.Specifically, the goal of this experiment was to determine if individual learning would beenhanced by teams utilizing the CCM. The subjects participating in the study were 39 graduatesoftware engineering students in two sections of the same course, taught from the samematerials. One section was provided the CCM guidelines for their team projects at their firstteam meeting as a paper handout. The students were assigned to random
, 1999, pp. 20-31.[8] R. R. Hake, Interactive-engagement vs. traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses, American Journal of Physics, 66(1), 1998, pp. 64-74.[9] C. J. Egelhoff, N. Podoll, and K. Tarhini, Work in progress- A concept map for mechanics of materials, Proceedings of the 40th ASEE/IEEE Frontiers in Education Conference, Washington, DC, October 27-30, 2010.[10] Hibbeler, R.C., Engineering Mechanics: Dynamics, 10th edition, Prentice Hall, 2001, 233-236.[11] Joseph Morgan, Introduction to University Physics, Volume One, Second Edition, Allyn Bacon, Boston, MA,1969, 239-240.[12] Bela I. Sandor, Engineering Mechanics Statics and