episodes (Figure 7). Figure 7 – Inputting the verbal dataCoding the Verbal DataOnce all of the verbal data was inputted, Middleton’s (2008) categorisation of procedures wasutilised to code the cognitive actions of each student. Each cognitive action was coded intoone of ten proceduress and was then located within one of three major categories ofprocedures as shown in Table 1. Table 1 – Middleton’s categorisation of cognitive proceduresCategory of Procedure Generation Exploration Executive ControlProcedure Retrieval (R) Exploring Constraints Goal Setting (GSet) Synthesis (S) (EC
using an automated system to grade AutoCAD files that focusedon 2D drawings [7]. In this method, students email homework solutions to a dedicated emailaddress. The automated system then reads the emails and evaluates the 2D drawing(s) submitted.The advantage of this system is that students could receive quick feedback, although the gradingmethod’s generalization to 3D CAD is not apparent.Ingale et al. developed a tool in Matlab which would evaluate section views submitted as picturefiles by the students. Their tool had the advantage of being CAD software independent since itonly used image files and image recognition techniques. However, the submitted picture fileshad no dimensions shown, and the tool could not process other common views like
/4. Campbell, C., Senior Mechanical Engineer, iRobot, Email Correspondence, 20165. Chester, I. (2007). Teaching for CAD expertise, International Journal of Technology and Design Education, Volume 17, Issue 1, pp 23-356. Devine, K PhD., Illinois State University, Telephone Interview, 20167. Gaughran, W. F. (2002). Cognitive modeling for engineers, Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition.8. Harris, S., Co-Founder and VP of OnShape, Telephone Interview, 20169. Hinkle, K., Senior Designer, Senior Aerospace, Email Correspondence, 201610. Krish, S. (2011). A practical generative design method, Computer-Aided Design, Volume 43, Issue 1, pp 88- 10011. PTC. (2011
discrete plurality of cycles within a given greater cyclic increment. Angle means a fraction of once cycle. Angle is therefore sub-cyclic- unity, while frequency plural unity. Angle is less than finite cyclic unity. Frequency is greater than finite cyclic unity.” 2Webster’s Greek term monad, stems Greek Ionian System: Alphabetical Enumerationfrom roots μένειν (menein), “to be μ ο ν ά ςstable”, from μονάς (monas), "unit" [m] [o] [n] [a] [s]from μόνος (monos), "alone".6 Mu Omicron Nu Alpha Sigma 40 70 50 1 200 ∑361Schneider (1994) writes: “In the
remediation in spatial visualization by PSVT:R Pre-Test for all engineering and sciencefreshman students. Based on the Pre-Test results, all students who scored lower than 60% will berequired to take a spatial visualization course. After the training course, all those students whofailed the Pre-Test have passed the Post-Test. It is recommended that even earlier detection andremediation would be more helpful. Testing incoming engineering students and offeringintervention before they arrive on campus and begin their foundational first year course wouldfurther increase student success.8. References[1] Sorby, S., "Educational research in developing 3-D spatial skills for engineering students”, International Journal of Science Education, Vol. 31
, R. V. Kenyon, and J. C. Hart, “The CAVE: audio visual experience automatic virtual environment,” Commun. ACM, vol. 35, no. 6, pp. 64–73, 1992.[6] H. Ohtani and R. Horiuchi, “Scientific visualization of magnetic reconnection simulation data by the CAVE virtual reality system,” Plasma Fusion Res., vol. 3, pp. 054–054, 2008.[7] S. K. Tang et al., “How to Simulate and Realise a Disappeared City and City Life?-A VR Cave Simulation,” 2002.[8] D. A. Bowman, D. Koller, and L. F. Hodges, “Travel in immersive virtual environments: An evaluation of viewpoint motion control techniques,” in Virtual Reality Annual International Symposium, 1997., IEEE 1997, 1997, pp. 45–52.[9] G. Robertson, M. Czerwinski, and M. Van Dantzich
find the motivation in order to get certification.References[1] Seetha, S. (2012). Communication Skills for Engineers in Global Arena. International Journal on Arts, Management and Humanities, 1(1), 1-6.[2] Dukhan N, Rayess N. On teaching non-technical skills for the engineers of 2020, QScience Proceedings (World Congress on Engineering Education 2013) 2014:9 http://dx.doi.org/10.5339/qproc.2014.wcee2013.[3] Gell-Mann, M. (1996). A commentary to R Schank. In J.Brockman (Ed.), The third culture: beyond the scientific revolution. New York: Touchtone Books, 167–180.[4] Bloom, B. S. (1956). Taxonomy of educational objectives, book 1, cognitive domain. New York: Longman.[5] Good, T. L. & Brophy, J. E. (1990
. ReferenceLoyalka, P., Carnoy, M., Froumin, I., Dossani, R., Tilak, J. B., & Yang, P. (2014). Factors affecting the quality of engineering education in the four largest emerging economies. Higher Education, 68(6), 977-1004Lubinski, D. (2010). Spatial ability and STEM: A sleeping giant for talent identification and development. Personality and Individual Differences, 49(4), 344-351.Maeda, Y. & Yoon, S. (2011). Scaling the Revised PSVT-R: Characteristics of the First-Year Engineering Students' Spatial Ability. Proceedings of the 2011 ASEE Annual Conference &Exposition, Vancouver, BC, 2011.Maeda, Y., & Yoon, S. Y. (2013). A meta-analysis on gender differences in mental rotation ability measured by the
@tech.edu: A study of comfort and the use of technology. Journal of College Student Development, 42(6), 625–31.9. Bonwell, C. C., & Eison, J. A (1991). Active learning: Creating excitement in the classroom. ASHEERIC Higher Education Report No. 1, George Washington University, Washington, DC.10. Taylor, M. M., Lederman, S. J., & Gibson, R. H. (1974). Tactual perception of texture. In E. C. Carterette & M. P. Friedman (Eds.), Handbook of perception, Vol. 3: Biology of perceptual systems. New York: Academic.11. Druyan, S. (1997). Effect of the kinesthetic conflict on promoting scientific reasoning. Journal of Research in Science Teaching, 34, 1083-1099.12. Sathian, K. (1998). Perceptual learning. Current
the use of information visualization tools to provide new methods of learning. Their interest is the develop- ment of teaching applications based on emerging technologies as well as motivation and usability studies focusing his work on developing computer applications.Mrs. Cristina Roca, University of Las Plamas de Gran Canaria Page 23.1253.1 c American Society for Engineering Education, 2013 Tools, methodologies and motivation to improve spatial skill on engineering studentsIntroductionFerguson1 in “Engineering and the Mind´s Eye” points out that an
score: 147.00 / 205 (71.71%) 139.00 / 195 (71.28%) Mode score: occurred 22 time(s) occurred 20 time(s) Standard deviation: 23.15 25.48 Reliability coefficient (KR21): 0.9264 0.9428 Range: 205 193 Interquartile range: 29 33Table 2. Descriptive/demographic data for the ADDA AAD certification exam.The exam is a criterion referenced exam in that the exam taker must respond correctly to 300 ofthe 400 items (75%) to be certified. Achieving the 75% threshold is not require for each of the 20competencies, however. For program assessment, the exam can be used as a
they generallycompleted two items at the same time, they were asked to give them the same rank number.There were 19 different strategies used to complete the textbook material. Analyzing the order inwhich students completed the activities, the top three strategies were:1. Watched the voiced-over PowerPoint(s), read and reviewed the chapter(s), and then completed the WebCT Vista assessment (30%).2. Read and reviewed the chapter(s) and then completed the WebCT Vista assessment (11%).3. Read the chapter(s), watched the voiced-over PowerPoints, and then completed the WebCT Vista assessment (7%). Page 13.602.8Students completed the solid modeling
, fuel cells, plastics, and engineering education. c American Society for Engineering Education, 2016 A New Way to Help Students Improve 3-D VisualizationAbstractThere is ample evidence that instruction in spatial visualization skills is effective in improvingoutcomes for engineering students. Research conducted since the early 1990’s has proven thatspatial visualization practice and training leads to better grades in engineering graphics and inmost other engineering coursework. Other studies demonstrate that improved 3D visualizationskills improve retention and graduation rates in general and, in particular, the retention andgraduation rates of underrepresented groups in the field of engineering.The
Figure 7 – Selection from a student’s digital media portfolio for PN4011Not only was it observed that students with below average spatial skills benefited Page 26.286.9significantly from this extra class time, we also found that those students with high spatialskills also valued the activities. This is supported in some of the comments extracted fromstudents’ reflective diaries:“My strengths are the lab 1’s, I enjoy these and have no issues as I work through theworkbook. I also find my sketching a strong point as I am confident enough to try anythingeven if I make a mess of it ill still try again and give it another go.” Student 8 (Male) – Pre-Test
standard isometric axesof the paper, while the objects in Figs. 5 and 6 were not. Finally, Objects A and B in Figs. 3 and4 respectively were in the same initial orientation before rotation. Alternatively, Object B in Fig.5 was not in the same initial orientation as Object A in Fig. 3 before rotation. Table 1 shows the different categories of object shape and nature of rotation that wereinvestigated. Page 13.1200.4 I S R O T A T E D T O A S I S R O T A T E D T O A B
facilitate the transferability of successfulpractices to other institutions that want to increase student’s spatial visualization skills.1. Carter, C.S., Larussa, M.A., and Bodner, G.M. (1987). A Study of Two Measures of SpatialAbility as Predictors of Success in Different Levels of General Chemistry. Journal of Researchin Science Teaching, 24(7), 645-657.2. Maloney, E.A., Waechter, S., Risko, E.F., and Fugelsand, J.A. (2012). Reducing the SexDifference in Math Anxiety: The Role of Spatial Processing Ability. Learning and IndividualDifferences. 22, 380-384.3. Sorby, S., Casey, B., Veurink, N., and Dulaney, A. (2012). The Role of Spatial Training inImproving Spatial and Calculus Performance in Engineering Students. Learning and IndividualDifferences
Page 25.29.10question the construct of contemporary graphical education and consider the impact andpotential of current practices.Reference 1. Fish, J., Scrivener, S. (1990). Amplifying the Mind's Eye: Sketching and Visual Cognition. Leonardo, 23, 117-126. 2. Norman, E. and Seery, N. (Eds) (2010) IDATER Graphicacy and Modelling, Loughborough 3. Ritz, J. (2009). "A New Generation of Goals for Technology Education." Journal of Technology Education 20(2), 50 - 64. 4. Rasinen, A. (2003). "An Analysis of the Technology Education Curriculum of Six Countries." Journal of Technology Education 15(1): 31 - 47. 5. Dunbar, R., (2010) Informing Technology Teacher Education; Exploring the Effects of
particularly those deemed at-risk.Research QuestionsThis study consisted of two overarching research questions related to learner preferences in apost-secondary classroom. The primary research question was: What are the learningpreferences for college students taking a fundamental engineering design graphics courses? As afollow-up question to the primary question the investigators explored: Do students taking acollege engineering design course and categorized as “at-risk” have different learningpreferences than students categorized as “not at-risk?” The primary research question wasinvestigated and analyzed through frequency-based ordinal data pertaining to student learnerpreference(s). The second research question was evaluated through data analyzed
engineering colleges. Engineering Design Graphics Journal, 64(2), 23-28.4. Strong, S., & Smith, R. (2001). Spatial visualization: Fundamentals and trends in engineering graphics. Journal of Industrial Technology, 18(1), 1-6.5. Adanez, G. P, & Velasco, A. D. (2002). Predicting academic success of engineering students in technical drawing from visualization test scores. Journal for Geometry and Graphics, 6(1), 99-109.6. Leopold, C., Gorska, R. A., & Sorby, S. A. (2001). International experiences in developing the spatial visualization abilities of engineering students. Journal for Geometry and Graphics, 5(1), 81-91.7. Guay, R. (1977). Purdue Spatial Visualization Test – Visualization of Rotations. W. Lafayette
, author(s), sponsor(s), measurement scale(s), and citation(s)[3]. The first model, the Advanced Manufacturing Competency Model does not have anydocumentation in its graphic representation. It does not have a detailed title, author, sponsor,measurement scale, and citation. The second model, the Four Pillars of ManufacturingKnowledge has a detailed title at the top. However, it does not have any other documentation.Lastly, the visual display of the NAM-endorsed Manufacturing Skills Certification System showsa sponsor in the bottom-right corner but does not have any other documentation.Tufte Principle 6: Content Counts Most of AllTufte’s last principle of analytical design is “Content Counts Most of All”. It asserts that allanalytical presentations
ability tasks that involve complicated, multi-stepmanipulations of spatially presented information. These tasks may involve the processes required for spatial perceptionand mental rotations but are distinguished by the possibility of multiple solution strategies. Spatial visualization tasksinclude EFT (Embedded Figure Test), Hidden Figures, Paper Folding, Paper Form Board, Surface Development,Differential Aptitude Test, Block Design, and Guilford-Zimmerman spatial visualization (Linn & Petersen, 1985).FIGURE 1THE FLAGS TEST: Spatial Relations test; the subject must indicate whether the two flags are the same: (S) if one can be slid around so that it is identicalto the other or (D) for different flagsVARIOUS TESTING INSTRUMENTS USED FOR
or both) field(s) at the sametime. Serial presentation of information that needs to be integrated means that either thechunks of information need to be rehearsed and held in short term memory until the otherinformation is available or integrated and then retrieved from long term memory.However, this information may not be readily accessible from long term memory if the Page 11.1369.5learner cannot relate it back to the concept being learned. Similar to serial presentation ofinformation, if the material is spread out in the visual field, effort is needed to search outand fixate on the different pieces of information sequentially.3. Coordinate
audiobook archive LibriVox.Dr. David M. Whittinghill, Purdue University, West Lafayette (College of Engineering) Dr. David Whittinghill is an Assistant Professor of Computer Graphics Technology and Computer and Information Technology. Dr. Whittinghill’ s research focuses on gaming, simulation and computer pro- gramming education and how these technologies can more effectively address outstanding issues in health, education, and society. Dr. Whittinghill leads projects in virtual reality, pediatric physical therapy, sus- tainable energy simulation, Chinese language learning, and games as a tool for improving educational out- comes. Dr. Whittinghill is the director of the Games Innovation Laboratory (www.gamesinnovation.org
doingspatial reasoning tasks, so it is possible that this extra time is a contributing factor in the reportedgains. On the other hand, students gained substantially simply by taking the class, so the benefitsof the app on its own are not clear.Another direction for further research should focus on additional development of the app.Possibilities include adaptive presentation of lessons based on student progress, further use ofgamification to enhance motivation and engagement, and building assessment into the app itself.References[1] S. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of spatial training in improvingspatial and calculus performance in engineering students,” Learning and Individual Differences,vol. 26, pp. 20–29, 2013.[2] O. Ha
like to thank Prof. Ken Youssefi, instructor for ME 20course, for his support in conducting the study at San Jose State University.References[1] J. V. Ernst, D. Lane, and A. C. Clark, "Pictorial Visual Rotation Ability of Engineering Design Graphics Students," presented at the ASEE Annual Conference, Indianapolis, IN, 2014.[2] R. P. Springer, C. H. Dobrovolny, and J. S. Hoelscher, Graphics for Engineers, Visualization, Communication and Design: John Wiley & Sons, 1968.[3] S. A. Scribner and M. A. Anderson, "Novice drafters' spatial visualization development: Influence of instructional methods and individual learning styles," 2005.[4] G. R. Bertoline, E. N. Wiebe, C. L. Miller, and J. L. Mohler, Technical
predictors of success in an engineering design course. Proceedings of the National Conference on Women in Mathematics and the Sciences, St. Cloud, MN, 133-136.4. Blasko, D. G., Holliday-Darr, K, Mace, D., & Blasko-Drabik, H. (2004). VIZ: The visualization assessment and training website Behavior Research Methods Instruments & Computers. 36:25. Sorby, S. A. (2009). Educational Research in Developing 3-D Spatial Skills for Engineering Students. International Journal of Science Education, 31:3, 459-480.6. Blasko, D.G. & Holliday-Darr, K. (2010). Longitudinal Analysis of Spatial Skills Training in Engineering Graphics. Proceedings of the Engineering Design Graphics Division of ASEE 65th Mid-year
ith sketched feature FE = number of edge features S = number of edge feature sets Nij = number of selected edges for the jth edge feature set within the ith edge feature FH = number of (individual) hole features Ci = hole complexity factor for ith hole (simple holes = 1, countersunk or counterbored = 2) FM = number of mirror features -1 FP = number of pattern features -1 CIi = Complexity index of features patterned or mirrored in the ith pattern or mirror featureThe proposed algorithm has been applied to parts utilized by various researchers in their studiesthat have been modeled using alternative modeling strategies. Kirstukas25 uses a simple platewith hole features and standoffs, shown in Figure 1. Johnson17 uses a
, 12 (4), 363-374.2. Harnisch, D. L., Polzin, J. R., Brunsting, J., Camasta, S., Pfister, H., Mueller, B., Frees, K., Gabric, K., Shope, R. J. (2002). Using visualization to make connections between math and science in high school classrooms. A Page 13.1233.6 paper presented at the Society for Information Technology and Teacher Education international conference, Nashville, TN.3. Fritz, J. P., Way, T. P., Barner, K. E. (1996). Haptic representation of scientific data for visually impaired or blind persons. Proceedings of the Eleventh Annual Technology and Persons with Disabilities Conference
and symbols of engineering graphics to communicate with industry experts.Bibliography1. Bigge, M., & Shermis, S. (1999). Learning theories for teachers (6th ed.). Longman, New York.2. Branoff, T. J. (2015). The role of the image in engineering and technical graphics education: Through a lens of cultural-historical learning theory. In L. Cocchiarella (Ed.), The Visual Language of Technique: Volume 3 – Heritage and Expectations in Education. Springer.3. Branoff, T. J., Hartman, N. W., & Wiebe, E. N. (2003). Constraint-based, solid modeling: What do employers want our students to know? The Engineering Design Graphics Journal, 67 (1), 6-11.4. Engeström, Y. (2001). Expansive learning at work: Toward an activity
Experiential Learning: A Handbook of Best Practice for Educators andTrainers: This type of learning occurs when students participate in some activity, reflect upon the activity, use their analytical skills to derive some useful insight from the experience, and then incorporate their new understanding(s) into their daily lives. What experiential learning does best is capture the interest and involvement of the participants, but most importantly it contributes significantly to the transfer of learning.Instructional InterventionTo implement EL learning in a degree program, faculty need to be made aware of theexperiential criteria so they can design an appropriate and effective EL course. Faculty at ourinstitution gain