. Other suggestions included adding hover information for each button and providinghints for the current operation. Both suggestions have been incorporated into the latest version ofour tool. Some students also wished us to provide a detailed user guide.Among the 12 students who used our tool before the user study, 10 of them ran the tool onWindows machines and 2 on Linux machines. None of the students reported system problems,crashes, or any installation issues.4.6 Auto-grading TestThe auto-grading test assessed student learning and automatically provided timing andcorrectness of their work. For each student, his/her aggregated test score was rescaled to a 0-to-100 scale: if there are N questions and a student answers M of them correctly, then
participants wanted more programming instruction, assistance in preparing for theAP CS exam, and an opportunity to continue working on their projects. 72.7% of surveyed student (16out of 22) reported being able to connect what they have learned from the program to what they are taughtin school. Such connections include: math, programming courses and languages, research, presentation,public speaking, AP Biology and AP Statistics, debugging IT problems, assessment of peers, projectprototyping, group collaboration, and increased initiative in group projects. Page 23.677.139 Summary of Program Impact AreasThere were several areas where we noticed
demonstrated the importance of real projects for real clients courses (RPRCCs) incomputing curricula. They provided advice on setting up an effective support infrastructure for suchcourses, discussed where and how to find clients, and addressed issues related to assessment andevaluation. In addition, benefits of an RPRCC-centric approach to computing curricula were presented.Christensen, Rundus, and Prodanoff1 argued for the importance of students learning both hard and softskills in order to become productive software engineers – abilities such as working well with others andmanaging uncertainty should particularly be cultivated. Outside the classroom, projects will beencountered with missing or poorly defined requirements and dependencies, and
Development, 49(4), 153-224.38. Hall, S.P. & Brassard, M.R. (2008). Relational Support as a Predictor of Identity Status in an Ethnically Diverse Early Adolescent Sample. Journal of Early Adolescence, 29(1), 92-114.39. Jacob, D. J. (1999). Simple Models. In Introduction to Atmospheric Chemistry. Princeton, NJ: Princeton University Press. Retrieved from http://acmg.seas.harvard.edu/people/faculty/djj/book/bookchap3.html.40. Diamond, J. (1986). The behavior of family groups in science museums. Curator, 29(2), 139-154.41. Randol, S.M. (2005). The nature of inquiry in science centers: Describing and assessing inquiry at exhibits. Unpublished doctoral dissertation, University of California, Berkeley.42. Barron, B., Martin, C. K., Takeuchi, L
Ländern. (Hochschul-Informations- System GmbH, 2009).6. European Commission. The Bologna Process 2020 - The European Higher Education Area in the new decade. Communiqué of the Conference of European Ministers Responsible for Higher Education, Leuven and Louvain-la-Neuve, 28-29 April 2009. (2009). at 7. European Commission. The European Higher Education Area in 2012: Bologna Process Implementation Report. (European Commission, Education, Audiovisual and Culture Executive Agency, 2012).8. Westerheijden, D. F. et al. The Bologna Process Independent Assessment. The first decade of working on the European Higher Education Area. Executive summary, overview and conclusions. (2010). at 9. Grigat, F. Bologna
Engineering Education Annual Conference and Exposition, Conference Proceedings.[22] Kaput, J. & Roschelle, J. (1996). SimCalc: MathWorlds. [Computer software].[23] Watson, A., & Mason, J. (2006). Seeing an exercise as a single mathematical object: Using variation to structure sense-making. Mathematical Thinking and Learning, 8(2), 91–111.[24] Thornton, R. K. (1987). Tools for scientific thinking - microcomputer-based laboratories for teaching physics. Physics Education, 22, 230-238.[25] Thornton, R. K., & Sokoloff, D. R. (1998). Assessing student learning of Newton’s laws: The Force and Motion Conceptual Evaluation and the evaluation of active learning laboratory and lecture curricula. American Journal
wanted me to learn in the class! I like the new approach and I hope you can find ways to apply it to more courses here at the U(university)…. (The) instructor can and did seem to gauge progress and shorten up problem solving time when students did not appear to be making progress. It is great and new way of learning style.Our next task is to establish methods to assess student learning outcomes. We will developmodels that can be combined with student self-reports so that we are able to measure if studentslearn better under this new approach. We will continue to provide students with a learningenvironment where they can explore and express new ideas openly
Paper ID #7714Key Aspects of Cyberlearning Resources with Compelling ResultsMrs. Jeremi S London, Purdue University, West Lafayette Jeremi S. London is a graduate student at Purdue University. She is pursing a Ph.D. in Engineering Edu- cation. In 2008, she earned a Bachelor of Science in Industrial Engineering from Purdue, and a Master of Science in Industrial Engineering from Purdue in 2013. Her research interests include: the use of cyber- learning in science, technology, engineering, and mathematics (STEM) education; assessing the impact of cyberlearning; and exploring ways computer simulations can be used to
) research laboratories at CMU for high school STEM teachers; providing an opportunity for high school STEM teachers to design research-based curriculum projects that are aligned with topics they teach at their respective local schools; developing skills, abilities, and attitudes of teachers related to their roles as teacher leaders, curriculum developers, and assessment designers as they plan High School Content Expectations (HSCEs)-aligned experiences for their students; coaching by CEIE staff for participating teachers throughout the academic year as they implement the curricula they have planned; disseminating the results from both research and curriculum development activities to
gettingmore and more organized. Gradually, you will see a difference. Remember that developing anew habit requires time, practice, and patience.DISCUSSIONThis project was done in a Parker Hannifin manufacturing facility in Houston where the firstauthor is an employee. He was a project team member during the 6S implementation. He is alsoa student in the department of the second author who was his supervisor in an independent studycourse (MFG 433: Manufacturing Technology Problems). The 6S project was used as a casestudy in the course in the 2013 spring semester. In the independent study course, a student isrequired to submit a project proposal to the supervisor for approval at the beginning of asemester. A project proposal is assessed on its potential
offerings. The paper also discusses the degree to whichcourse project success was achieved based on assessments including successful project milestonedemonstrations and student surveys, several problems that were encountered, and the actions thatwere taken to address the problems.IntroductionAt Milwaukee School of Engineering (MSOE), the ABET-accredited computer engineeringcurriculum includes two required three-credit courses on the topic of computer networks. Thefirst course concentrates on the physical and data link layers of networks and the second coursehas more emphasis on higher layer protocols common in Internet applications. Each of these twocourses includes a laboratory. The focus of this paper is on the course project within thelaboratory
and if adopted, everyone should be clear of all risks involved. 3. Discriminating: 10 Options for adopting the MME might be considered on a case-by- case basis. The MME might not be a universal formula for every university or might not be dismissed completely. Each state or university might self-assess the need to implement it. 4. Prudent: We have to “embodying an attitude toward safety that, as long as credible jury is still out or if it has returned hopelessly deadlocked, is as conservative as the magnitude of the possible disaster is large”10. The call to prudence should be present when implementing any new educational model. Ultimately the “rightness or wrongness” of
through multiple choice and open ended questions and (6) Needs assessment * Grouping principle - Randomization Figure 5: A methodology of learning effectiveness evaluation for the RM related coursesIllustrative Case Study: Comparison of Learning Effectiveness between the TraditionalTeaching Approach and the Cyber Facility with Online Testing System ApproachUTEP has offered a course related to Rapid Manufacturing called Rapid Manufacturing Systems(RMS) in Fall, 2012. This course is an introduction to Rapid Manufacturing (RM); as statedbefore RM is part of additive manufacturing which in turn involves using layer by layermanufacturing of products and different possible additive
‘GEMS hasopened doors to engineering and an opportunity to participate in engineering’.The GEMS camp execution experience also resulted in valuable conclusions. A partial overlap ofthe camp award notification and subsequent recruitment efforts with the Texas Assessment ofKnowledge and Skills (TAKS) middle and high school exam period proved to be verychallenging to reach out local school officials, teachers, counselors and students, mainly due tothe middle and high school officials focusing on their own evaluations and delaying the GEMScamp submissions after the TAKS period, instead of guiding students for STEM summerprograms. Moreover, many potentially eligible students were observed to have completed theirsummer plans before the GEMS
the International Workshop on Information Systems for Crisis Response and Management 2004.4 Bayarri, S., Fernandez, M. & Perez, M. (1996). Virtual reality for driving simulation. Communications of the ACM, 39(5), 72-76.5 O’Neil, H. F., Mayer, R. E., Herl, H. E., Niemi, C., Olin, K. & Thurman, R. A. (2000). Instructional strategies for virtual aviation training environments. Aircrew Training and Assessment, 105-130.6 Lee, C. H., Liu, A., Del Castillo, S., Bowyer, M., Alverson, D., Muniz, G. & Caudell, T. P. (2006). Towards an immersive virtual environment for medical team training. Studies in Health Technology and Informatics, 125
. Page 23.82.16Overall Results and Impressions about the Project (Students)Despite the difficulty in starting up both the processes, the level of detail and enthusiasm fromboth groups was impressive. Groups realized the need to assess their instructions in a blind testand split each group in two with one portion of the group starting up the process and providingfeedback to the other half of the group. In retrospect, it would have been better to have the eachgroup try to start up the other group’s process using their set of instructions and providingfeedback prior to submitting the report to the instructor. This would have eliminated many of theproblems found by the instructor.Feedback from the students (both through informal discussions and the
Society for EngineeringEducation, AC 2012-4565.[7] Kanu, Rex C.; Betz, Pamela Elizabeth; and Cotton, Samuel (2012). An Approach to Incorporating Sustainabilityin a Manufacturing Engineering Technology Program, American Society for Engineering Education, AC 2012-4677.[8] Darwish, Muge Mukaddes; and Agnello, Mary Frances (2009). Sustainability or Green: Challenges and Changesfor Educators and the Engineering Curriculum, American Society for Engineering Education, AC 2009-1794.[9] Gregg, Michael H. (2002). Environmental Life Cycle Analysis for Engineers, Proceedings of the 2002 ASEEAnnual Conference & Exposition, Session 3251.[10] Richter, David; McGinnis, Sean; and Borrego, Maura (2007). Assessing and Improving a MultidisciplinaryEnvironmental
., Kampmeier, J.A., and Roth, V. Peer-Led Team: A Guidebook Prentice-Hall, Inc., Upper Saddle River, NJ, 20018. Roth, V., Goldstein, E., and Mancus, G. Peer-Led Team Learning: A Handbook for Team Leaders.Prentice-Hall, Inc. Upper Saddle River, NJ, 2001.9. Reisel, J.R., Jablonski, M., Munson, E.V, and Hosseini, H.,“Analysis of the Impact of Formatl Peer-ledStudy Groups on First-year Student Math Performance,” Proceedings of the 2012 ASEE AnnualConference, Paper AC2012-2983, 2012.10. Loui, M.C., Robbins, B.A., Johnson, E.C., and Venkatesan, N. (2009) “Assessment of peer-led teamlearning in an engineering course for freshmen”, https://netfiles.uiuc.edu/loui/www/PLTLQuant.pdf .Accessed 24 September 2012
current curriculum began with a study of t activities within our program,the communication needs of our students, the resources available to us, and the dictates of theABET criteria implemented almost 15 years ago. The need to assess current engineeringpractices became clearly evident. Studies focusing on communication needs, suddenly took on amuch greater importance when placed in juxtaposition with the other ABET requirements.Communication skill in engineering was addressed in a survey that looked at the perceptions offaculty and students to needed communication skill acquisition in mechanical engineering. Basicinformation regarding the perceived inadequacies of students’ communication skills from boththe students and the faculty perspectives
classes, a student survey instrumentcombined with direct assessments will be used to quantify whether this bio-renewable energyEELM merits investment of valuable class time that might otherwise be used to teach othermaterial.AcknowledgementsThis work was funded by the Sigma Xi Grants-in-Aid of Research (GIAR) program, andEASENET, Inc., a student-founded bio-renewable energy start-up company commercializingresidential biomass combined-heat-and-power systems. Undergraduate co-authors working onthis project are members of the Milwaukee Undergraduate Researcher Incubator (MURI) atMSOE, an organization which fast-tracks undergraduates into meaningful early researchexperiences.Bibliography[1] J. DeWaters, S. Powers, “Work in progress - energy education
. Francis Dam so aptly illustrates. “In fact,” he states, “designing in a climate of success canbe dangerous for an engineer,” resulting in a loss of sensitivity to the demands of a new project.Failures cause engineers to view new projects with a “renewed respect for the laws and forces ofnature” and with less arrogance.62While the use of cases for teaching engineering ethics is, by now, fairly standard, using historicalcases to shed light on the present adds a different element to ethical analysis, the moral being thatinstead of learning from our mistakes, as we naively assume, we do not. Lessons learned by onegeneration tend to be forgotten by the next, especially in regards to tragedies. “The greatesttemptation when assessing a tragedy,” writes
college ‘preeduated’ [sic]” (p. 3)2. The model was initiated at Indiana University after arealization that the mental operations required of undergraduates differ enormously fromdiscipline to discipline. The Decoding process is based on the premise that these ways ofthinking are rarely presented to students explicitly, that students generally lack an opportunity topractice and receive feedback on particular skills in isolation from others, and that there is rarelya systematic assessment of the extent to which students have mastered each of the ways ofthinking that are essential to particular disciplines 2.At least seventeen studies using the Decoding process in various disciplines have been published,including the fields of humanities13
in the laboratory exercises atUSAFA are virtually identical to those at UW. However, the concepts are taught using amotivational, robot platform. Rather than unrelated laboratory exercises, all exercises providerelated functional capabilities for the robot system. At the completion of the course, the robotsare placed in an unknown maze. The robots start at the same location within the maze and thenproceed through the maze and out an exit door. The robot must sense, navigate, and propel itsway through the maze. The winning robot is the one that proceeds through the maze in theshortest amount of time. A penalty is assessed every time the robot bumps into maze walls. Thestudent who wins the competition has their name put on a permanent plaque
recall, in 1986, a launch by NASA of the Space Shuttle Challenger exploded soon after take-off. A large investigation of the failure by a “blue-ribbon” committee named the Rogers Commission after its chairman, took place [25]. This committee found that in essence, the engineers assigned to the project recommended that the flight be scrubbed. This advice was not followed by management. One engineer was told to “take off your hat as an engineer and put on your management hat” before you give your answer. As events unfolded, the engineers were right in their technical assessment and the flight failed. What are the ethical issues that warrant the retelling of this story, and who is qualified to
., Crooks, D., Ellis, P. J., Ofosu, C., O’Mara, L., & Rideout, E. (2001). Self-directed learning:Faculty and student perceptions. Journal of Nursing Education, 40(3), 116 – 123.2. Johnson, Spencer. (1998). Who Moved My Cheese. New York: G.P Putnam’s Sons.THERESA L. JONESTheresa L. Jones is a doctoral candidate in Mathematics Education at The University of Texas at Austin, currentlyworking for Project PROCEED addressing assessment issues with projects in the ME classroom. She received herBS in Mechanical Engineering from the University of Alabama at Tuscaloosa, her MS in Mechanical Engineeringfrom The University of Texas at Austin, and her MA in Developmental and Adult Education from SouthwestTexas State University. She is also a licensed
State University; 2003 January 10. Report No.: TR-2003-01.11. Ferzli M, Wiebe EN, Williams L. Paired Programming Project: Focus Groups with Teaching Assistants and Students. Technical Report: Dept. of Computer Science, North Carolina State University; 2002 November 25. Report No.: TR-2002-16.12. Webb NM, Nemer KM, Chizhik AW. Equity issues in collaborative group assessment: Group composition and performance. American Educational Research Journal 1998;35(4):607-651.13. Bishop-Clark C, Wheeler DD. The Myers-Briggs personality type and its relationship to computer programming. Journal of Research on Computing in Education 1994;26:358-70.14. Collings P, Walker D. Equity issues in computer-based collaboration: Looking
scientific and technical way in theclassroom. Many educational institutions have come to the realization that advancements intechnology should be reflected in newly structured civil engineering courses, and introducedchanges in their offerings. This paper attempts to offer a global view of steps implemented bylarge and small institutions to modernize their engineering curricula. Changes made by institutionswill be classified as light, moderate, or dramatic. The self-assessed degree of success of thesechanges, and the level of acceptance these newly revamped programs received will be discussed.I. Perception and RealityThe period of the mid to late nineties showed astronomical growth in some sectors of theeconomy. A close look at the areas that
individual student in the project. The structure of the ECE Capstone Design Experience presented here has evolved over thelast 12 to 14 years through a process of assessment, reflection and continuous improvement.During this period we have constantly sought input from and listened to our critics (primarily ourstudents) as well as the occasional admirer. Whenever problems have arisen, we've evaluatedthem and made changes to reduce or eliminate them in the next cycle or cycles of the courses.While the current state of the two courses is generally given good marks by our students, otherdepartments in the colleges and by our accreditors, we continue to remain vigilant for newproblems and to the principle of effecting continuous course
2002 American Societyfor Engineering Education Annual Conference & Exposition.[5] Taraban, R., Hayes, M. W., Sharma, M. P., & Anderson, E. E. Proceedings of the 2003 AmericanSociety for Engineering Education Annual Conference & Exposition.[6] Graesser, A. C., Langston, M. C., & Baggett, W. B. In G. V. Nakamura, R. Taraban, & D. L., Medin(eds.), Categorization by Humans and Machines, pp. 411-436; Academic Press: San Diego, CA, 1993.[7] Mayer, R. E. Multi-Media Learning. Cambridge University Press: New York, NY, 2001.[8] Schoemaker, M. J. N., & Mulder, L. J. M. In B. P. L. M. Den Brinker, P. J. Beek, A. N. Brand, F. J.Maarse, & L. J. M. Mulder (eds.), Cognitive Ergonomics, Clinical Assessment and Computer
participation.Ongoing efforts to assess student perceptions and outcomes in the SLICE program will bedescribed in a future report.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber 0935185. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily