normally experienced inthe classroom. Quality control is also needed to assure that the content of the online course issimilar to what is taught in the classroom.References 1. Haugen, Susan; LaBarre, James; Melrose, John, “Online Course Delivery: Issues and Challenges” International Association Computer Information System (2001). 2. Song, Liyan; Singleton, Ernise S.; Hill, Janette R.; Hwa Koh, Myung, “Improving Online Learning: Student Perceptions of Useful and Challenging Characteristics” Internet and Higher Education 7 (2004): 59–70. 3. Kearsley, Greg, "A Guide to Online Education" (1998) Web 1 Jan. 2013. 4. Kearsley, Greg, “Online Education: Learning and Teaching in Cyberspace”, Belmont, CA, Wadsworth
Paper ID #10955Improving the Affective Element in Introductory Programming Courseworkfor the ”Non Programmer” StudentDr. David M Whittinghill, Purdue University, West Lafayette Dr. David Whittinghill is an Assistant Professor of Computer Graphics Technology and Computer and Information Technology. Dr. Whittinghill’ s research focuses on simulation, gaming and computer pro- gramming and how these technologies can more effectively address outstanding issues in health, educa- tion, and society in general. Dr. Whittinghill leads projects in pediatric physical therapy, sustainable energy simulation, phobia treat- ment
conference for the learning sciences- Volume 3 (p. 51–53). International Society of the Learning Sciences. Retrieved from http://portal.acm.org/citation.cfm?id=1599936.1599960.8. Knowles, M. (1996). Adult Learning. In Robert L. Craig (Ed.), The ASTD Training and Development Handbook (pp. 253-264). NY: McGraw-Hill.9. Knowles, Malcolm S., Elwood F. Holton III, and Richard A. Swanson (1998). The Adult Learner. Houston: Gulf Publishing.10. Kobulnicky, P., Ruby, J. A. (2002). EDUCAUSE Quarterly. Third Annual EDUCAUSE Survey identifies Current IT Issues by Paul Kobulnicky, Julia A. Rudy and the EDUCAUSE Current Issues Committee, 252.11. Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. New
22.1704.5Bibliographic Information1 Susi, T., Johannesson, M., Backland, P. 2007. Serious Games – An Overview.2 Heeter, C., Chu, C., Maniar, A., Winn, B., Mishra, P., Egidio, R., Portwood-Stacer, L. 2003. Comparing 14 Plus 2Forms of Fun (and Learning and Gender Issues) In Commercial Versus Educational Space Exploration DigitalGames.3 Siwek, Stephen E. 2007. Video Games in the 21st Century: Economic Contributions of the U.S. EntertainmentSoftware Industry, Entertainment Software Association (2007).4 Read, J.C., MacFarane, S. 2006. Using the Fun Toolkit and Other Survey Methods to Gather Opinions in ChildComputer Interaction. IDC ’06, June 7 – 9, 2006.5 Kahn, K. 1999. A Computer Game to Teach Programming. National Educational Computing Conference 1999.6 El-Nasr
-64.6Barnett, J.E., Di Vesta, F.J., & Rogozinski, J.T. (1981). What is learned in note-taking? Journal of EducationalPsychology, 73, 181-192.7Foos, P.W., Mora, J.J., & Tkacz, S. (1994). Student study techniques and the generation effect. Journal ofEducational Psychology, 86(4), 567-576. Page 15.1249.6
various branch conditions listed in Table 4. The signal name “NATT” is the acronym for“next address if the test result is true” and serves as the target of a branch action, so that a branchis performed by loading the NATT value into the address counter. Address Microstore Test NATT EnA EnD EnL EnN SelMux SelALU KVal Wr 2 4 1 2 1 1 2 2 8 1 Kval Wr ’0’ I0 S ’1’ I1 Data path control signals Cflag I2 Mux Zflag I3
and J. Brooks Zurn, “Evaluation of Tablet PCs for engineering content development and instruction”, Proceedings of the 111th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Salt Lake City, UT, June 20-23, 2004.2. Kuldeep S. Rawat, George B. Riddick, and Lakiesha J. Moore, “Work in Progress – Integrating Mobile Tablet- PC Technology and Classroom Management Software in Undergraduate Electronic Engineering Technology Courses”, 38th ASEE/IEEE Frontiers in Education Conference, 2008.3. Amelito Enriquez, “Developing an Interactive Learning Network Using Tablet PCs in Sophomore-Level Engineering Courses”, Proceedings of the 114th American Society for Engineering Education (ASEE) Annual
Closed-book Exams on Student Achievement in an Introductory Statistics Course. PRIMUS. 2. Dickson, K. L., & Miller, M. D. (2005). Authorized crib cards do not improve exam performance. Teaching of Psychology, 32, 230-233. 3. Erbe, B. (2007). Reducing test anxiety while increasing learning: The cheat sheet. College teaching, 55(3), 96–98. doi:10.3200/CTCH.55.3.96-98 4. Funk, S. C., & Dickson, K. L. (2011). Crib card use during tests: Helpful or a crutch? Teaching of Psychology, 38, 114-117. 5. Gharib, A., Phillips, W., & Mathew, N. (2012). Cheat Sheet or Open-Book? A Comparison of the Effects
Paper ID #9265Technology in classrooms: How familiar are new college students with thepedagogy?Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning outcomes in undergraduate engineering, interdisciplinary teaching and learning, organizational change in colleges and universities, and international issues in higher education.Mr. S. Cory Brozina, Virginia TechMr. Steven Culver, Virginia Tech
involved with developing and teaching laboratory content, leading the maintenance of the in-house robotics controller, and managing the development of the robotics project.Dr. Kathleen A. Harper, Ohio State University Kathleen A. Harper is a senior lecturer in the Department of Engineering Education at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics and engineering education departments. She is currently a member of the ASEE
, “Designing and teaching courses to satisfy the ABET engineering criteria”, Journal of Engineering Education, vol. 92(1), pp. 7-25, 2003.[4] R. M. Felder et al., “The future of engineering education II. Teaching methods that work”. Chemical Engineering Education, vol. 34(1), pp. 26-39, 2000.[5] M. Srinivasan et al., “Comparing problem-based learning with case-based learning: effects of a major curricular shift at two institutions”, Academic Medicine, vol. 82(1), pp. 74-82, 2007.[6] J. E. Mills and D.F. Treagust, “Engineering education—Is problem-based or project-based learning the answer”, Australasian Journal of Engineering Education, vol. 3(2), pp. 2-16, 2003.[7] H. S. Barrows, Simulated (Standardized) Patients and Other
, 316-320.[4] Hu, G. 1994, A Simulated Hardware for an Operating System Course Project. Computer Science Education.5(2), 45-62.[5] Kifer, Michael & Smolka, Scott A. 1991, OSP: An Environment for Operating System Projects. Reading:Addison Wesley.[6] Nutt, Gary. 2001, Kernel Projects For Linux. Boston: Addison Wesley Longman.[7] Nutt, Gary. 2004, Operating Systems, Third Edition. Boston: Pearson Addison Wesley.[8] Stallings, William. 2005, Operating Systems: Internals and Design Principles, Fifth Edition. Upper SaddleRiver: Pearson Prentice Hall.[9] Tanenbaum, Andrew S. & Woodhull, Albert S. 1997, Operating Systems: Design and Implementation, SecondEdition. Upper Saddle River: Prentice Hall
mathematical problems are now includingsymbolic capabilities, transforming them into symbolic-assisted numeric computational tools. Inthe area of power systems, pioneer work was performed in the late 80’s at the University ofWisconsin-Madison in the application and use of symbolic computing or symbolic-assistednumeric computational tools in power engineering education 3-7. There are four CAS featureswith potential for changing and improving engineering education1-9:1. Active student learning involvement;2. Experimentation and simulation as a means of understanding concepts;3. Solution visualization; and4. Solving real-world problems.These themes have continued as the principle set of arguments for CAS using, in the teachingengineering disciplines
://abs.sagepub.com/cgi/doi/10.1177/0002764204271505.[23] F. J. Zimmerman, J. Gilkerson, J. A. Richards, D. A. Christakis, D. Xu, S. Gray, and U. Yapanel. Teaching by Listening: The Importance of Adult-Child Conversations to Language Development. PEDIATRICS, 124(1): 342–349, jul 2009. ISSN 0031-4005. doi: 10.1542/peds.2008-2267. URL http://pediatrics.aappublications.org/cgi/doi/10.1542/peds.2008-2267.[24] Daphne Bavelier, C Shawn Green, and Matthew W G Dye. Children, wired – for better and for worse. doi: 10.1016/j.neuron.2010.08.035.[25] F. J. Zimmerman and D. A. Christakis. Associations Between Content Types of Early Media Exposure and Subsequent Attentional Problems. PEDIATRICS, 120(5):986–992, nov 2007. ISSN 0031-4005. doi
varunagrawal@gatech.edu College of Computing Georgia Institute of Technology Amit S. Jariwala amit.jariwala@gatech.edu G. W. W. School of Mechanical Engineering Georgia Institute of TechnologyAbstractTeam formation for Capstone Design projects is a complex challenge due to the many parametersinvolved, many of which are intangible. Of all the challenges in organizing a Capstone Designcourse, team formation is considered the primary one due to its importance in facilitatingsynergistic partnerships for successful completion of the Capstone project. The
need to connect classroom or lab learning tothe actual ability needed in the professional world. In Marlor’s [1] project-based course in amechanics & statics curriculum, attention was paid to the necessity of hands-on and intuitivedesign experiences in the early phase of students’ learning development [7]. In Ulseth et al.’s [2]engineering design course, emphasis was given to the creation of student experiences aiming atthe development of skills for effective teamwork. Thomas et al. [3] developed a project-basedundergraduate Computer Engineering curriculum, with an embedded systems concentration.There are other innovations along the line of research on project-based teaching and learning inengineering education, e.g. in Parten’s research
visible.AcknowledgementsThis work was supported by the STEM Small Grants Program 2014-2015 from the UGA Officeof STEM Education.References[1] Bransford, J. D., Brown, A. L., & Cocking, R. R. (1999). How people learn: Brain, mind, experience, and school. National Academy Press.[2] Prince, M. J., & Felder, R. M. (2006). Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of Engineering Education, 95(2), 123-138.[3] Heradio, R., de la Torre L., Galan D., Cabrerizo F. J., Herrera-Viedma E., & Dormido S.. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14-38.[4] Smetana L. K., & Bell R. L. (2012) Computer Simulations to support science instruction
, the value of the1st and 3rd quartiles, and the standard deviation. Finally, we computed an average across allweeks to determine the average times students pivot each week. Only nine weeks were includedin our calculations since week 10 has no programming assignments. Students who did notattempt any of the assigned programs for a given week were excluded from weekly calculations.4.2 ResultsFigure 1's box-and-whisker plot summarizes the number of pivots students did each week.Above each whisker are the average number of pivots and the standard deviation. The averagenumber of pivots across all weeks is shown in the top-right corner. The x-axis is the weeknumber and the y-axis is the average number of pivots. Fig. 1. Box-and-whisker plot to show
of major difference all together. Figure 4(b) is a bad question, rated at 1 out of5, and is conceptually confused about the relationship between a loop and a statemachine. Also, Figure 4(b)’s usage of “must” leads to a wrong meaning. Page 26.561.8Figure 4. Participant-made practice questions. (a) Professor rated 4 out of 5, and (b)professor rated 1 out of 5. Both practice questions have the correct answer selected, withthe explanation shown in green. (a) (b)Animation crowdsourcingAn animation is intended to visually describe a particular concept with animated shapesand text. The animation
. Computers in Education Journal, 2015. 6(2): p. 92-105.4. Taylor, F.W., The Principles of Scientific Management. 1913, New York: Harper & Brothers.5. Bond, M.J. and N.T. Feather, Some correlates of structure and purpose in the use of time. Journal of Personality and Social Psychology, 1988. 55(2): p. 321-329.6. Burt, C.D.B. and S. Kemp, Construction of Activity Duration and Time Management Potential. Applied Cognitive Psychology, 1994. 8(2): p. 155-168.7. Chang, A. and L.T. Nguyen, The mediating effects of time structure on the relationships between time management behaviour, job satisfaction, and psychological well-being. Australian Journal of Psychology, 2011. 63(4): p. 187-197.8. Barnard, L., V. Paton, and W
. Which room(s) on campus should we upgrade first?All participants were given free range to elaborate on these questions or make other commentsand suggestions they felt was essential to the conversation. Rather than concentrating on newcutting-edge technologies and modernistic concepts, participants overwhelming felt fixingsimple issues in currently existing classrooms would make a huge difference in their teachingand learning and was a crucial first step in the classroom of the future design moving forward.ResultsThere were a total of 51 participants, including instructors and students, that provided feedbackeither in person or via one of the online methods. All comments and suggestions were sorted andgrouped to a matching category, which
. Morrow, “Real-time DSP using “See-Through.”, Computers in Education Journal, Vol 6, No. 2, April – June 2015, pp 31-39. 2. Aditya Johri and Barbara M. Olds, “Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences”, Journal of Engineering Education 100.1 (2011): 151-185. 3. Jennifer Round and Barbara Lom, “In Situ Teaching: Fusing Labs & Lectures in Undergraduate Science Courses to Enhance Immersion in Scientific Research”, Journal of Undergrad Neuroscience Education, 2015, Summer, 13(3): A206 – A214. 4. Donald S. Reay, “Digital Signal Processing Using the ARM Cortex-M4”, John Wiley & Sons, 2016. 5. Todd Morton and Ying Lin, “Work-in-Progress: An Integrated DSP and
analysis software for K-college" proceedings of the ASEE Annual conference and exhibition, session 2320, 2000.6. Rogers, C. and Portsmore, M., "Data acquisition in the dorm room: teaching experimentation techniques using LEGO materials" proceedings of the ASEE Annual conference and exhibition, session 2366, 2001.7. Brockman, J., Batill, S., Renaud, J., Kantor, J., Kirkner, D., Kogge, P., and Stevenson, R., "Development of a multidisciplinary engineering design laboratory at the University of Notre Dame" proceedings of the ASEE Annual conference and exhibition, 1996.8. Levien, K.L. and Rochefort, W.E. "Lessons with LEGO - engaging students in chemical engineering course" proceedings of the ASEE Annual conference and
to learning, as well asreinforcing computational knowledge using Matlab, it is not as efficient as using the HSVcolor space. Matlab functions rgb2hsv ( ) and hsv2rgb ( ) can transform images back andforth between RGB and HSV domains. In the RGB domain, a particular displayed coloris a combination of ranges of pixel intensities in the first (red), second (green), and third(blue) layer matrices of the corresponding digital image. Hence, to search the pixels thatare in a particular color range, a three-level nested for loop is necessary. However, oncean image is transformed to the HSV space, all the color information is in the “hue” layermatrix. The pixel intensities in the ‘s’ or “saturation” layer matrix indicate the richnesslevel or vibrancy
. Balderrama, A. Should your boss be your Facebook friend? - CNN.com. CNN at 11. Krippendorf, K. Content analysis: An introduction to its methodology. (Sage, 2003).12. Neuendorf, K. The content analysis guidebook. (Sage Publications, 2002).13. Hatmaker, T. 3 easy tools for crafting a great-looking personal webpage. Read/Write Web at 14. Henry, A. How can I sell my skills beyond a boring resume? Lifehacker at 15. Stemler, S. An overview of content analysis. Practical Assessment, Research & Evaluation 7, http:––PAREonline.net–getvn.asp?v=7&n=1716. cross-tab Online Reputation in a Connected World. microsoft.com (2009).at 17. Enge, E., Spencer, S., Fishkin, R. & Stricchiola, J. The art of SEO: Mastering search engine
. Page 25.669.12References1. National Survey of Student Engagement (NSSE), Annual Results, 2011.2. S. Wilson, D. George, J. Bruni, and M. Cambron, “Algorithm for Defining Student Engagement,” Proceedings of the ASEE Annual Conference and Exposition, June 2008, Pittsburg, PA.3. K. A. Rocca, “Student Participation in the College Classroom: An Extended Multidisciplinary Literature Review,” Communication Education, 59, 2010.4. K. McDonald, “Increasing the Class Participation Experience for Engineers,” Proceedings of the ASEE Annual Conference and Exposition, June 2006, Chicago, IL.5. J. Hartman, “Does Class Size Matter? Reflections on Teaching Engineering Economy to Small and Large Classes,” Proceedings of the ASEE Annual
virtual laboratory reduces with the increase in the total number of virtual labsdeveloped.Table 2: Budget for virtual labs. S/N Item Cost 1. Construct-2 $119 2. Microsoft Visual Studio $1,199.00 3. The GIMP (Graphics Editing Tool) FreewareThe developed virtual labs are currently being hosted on Google's free app platform, theGoogle App Engine (http://appengine.google.com). While this is presently free, it presentslimitations which could prove vital for virtual labs. For example, the Google App Engine Page 24.419.14would make it difficult
procedure for Instrument Control Settings on this application andthe experimental results from Evoked potentials in Neuro physiology experiment using theBiomedical instrumentation setup described above. This experiment detect s the electricalsignals of the brain in response to light stimulation of the eyes.Advantages of using the Biomedical WorkbenchThe illustration above shows how simple the Biomedical Workbench software together with theElvis-II plus hardware platform is to acquire real time biomedical signal. One advantage of usingthe software is to be able to create multiple virtual channels simultaneously with individualfiltering parameters from one acquired real time signal. This feature is especially important foranalyzing EEG signal because
Assessment”, Proceedings of the 41st ASEE/IEEE Frontiers in Education Conference,October 12-15, 2011, Rapid City, SD.[6] Peat, M., Taylor, C. E., and Franklin, S., “Re-engineering of Undergraduate Science Curricula toEmphasize Development of Lifelong Learning Skills”, Innovations in Education and TeachingInternational, Vol.42, No.2, May 2005, pp: 135-146[7] Richards, L. G., and Ribando, R. J., “Work in Progress – Distance Learning: The Path To LifelongEducation”, 34th ASEE/IEEE Frontiers in Education Conference, October 20-23, 2004, Savannah, GA[8] Lenschow, R. H., “From Teaching to Learning: A Paradigm Shift in Engineering Education andLifelong Learning”, European Journal of Engineering Education, Vol.23, No. 2, 1998 [9] www.Facebook.com January
, it should bepossible to study the patterns among the participating instructors and identify the compatiblecourses. To address this issue, we need to obtain instructor data over several semesters tounderstand which courses and projects were successfully executed.6. AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.0705638. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. We also wish to thank the students who participated in the study, and the manycolleagues (in all four countries who helped make this research possible.7. References[1] P