. Zachary Rubel developed theMSCAN laboratory as an additional senior level project. References1. Criteria for Accrediting Engineering Programs, Effective for Evaluations During the 2007-2008 Accreditation Cycle, ABET Engineering Accreditation Commission, Baltimore, Maryland, March 18, 2007.2. S. F. Barrett, A. Wells, C. Hernandez, T. Dibble, Y. Shi, T. Schei, J. Werbelow, J. Cupal, L. Sircin, G. Janack, “Undergraduate Engineers for Curriculum and Laboratory Equipment Development,” American Society for Engineering Educators 2003 Annual Conference, Nashville, TN, June 2003.3. A. Griffith, S. F. Barrett, D. Pack, “Verilog HDL Controlled Robot For Teaching Complex Systems Design,” Computers in Education
of the evaluation is incorporated within the facility as web applications.While the second approach, involves formative and summative evaluation using a control groupand test group.5. References1. A. P. Boyle, D. N. Bryon, & C. R. C. Paul, Computer-based learning and assessment: A palaeontological case study with outcomes and implications, Computers and Geosciences, 23 (5), 573-580 (1997).2. T. K. Grose, Can distance education be unlocked, PRISM, April, 19-23 (2003).3. L. S. Chumbley, C. P. Hargrave, K. Constant, B. Hand, T. Andre, and E. A. Thompson, Project ExCEL: Web-based scanning electron microscopy for K -12 education, Journal of Engineering Education, April, 203-210 (2002).4. A. K. Kamrani and
students download the laboratory environment and interact with the virtual experiments independently.In multiplayer mode, the individual students – with the assistance of Half-Life 2’s networkinginterface that acts as a relay (see Figure 2) – connect to either a university server or anotheruser’s computer that is hosting a virtual laboratory environment. With multiple students loggedon at the same time, collaborative sessions are then possible where the laboratory experiment iscarried out by students as a group. This is of particular interest as it has been shown in thecontext of Asynchronous Learning Networks (ALN) that it provides for more effective learningwhen students can participate and interact as a group.8 Verbal and text
B are constantsFor our experimental run, the cold water temperature T∞ was 57 F. The response of the cylinderwas as follows: Time t (s) Temperature T (F) T - T∞ (F) 0 92.8 35.8 5 82.8 25.8 10 80.0 23.0 15 75.2 18.2 20 70.8 13.8 25 67.0 10.0 30 65.5 8.5 The students plotted T - T∞ versus time on various types of graph axes and found that
positive vertical direction is 5 points. If you pass one line more than once, no additional points are givenIdentify Ball If your robot can identify one blue ball to pass through 10 points. If your robot can identify 2 consecutive blue balls to pass through 20 points.Navigate Maze If your robot successfully navigates the maze – 20 pointsStop at Edge The style in which you robot stops at the edge is between 0-20 points. If your robot falls over the edge – s=0; if your robot stops “short” or has an appendage over the edge – s=0.5; if your robot stops at the edge – s=1 Style*s is the “stop at the edge” scoreTime You will be assigned a t value, based on the relative speed of
OK, but problems with phase angles on plots in Case 5. D OK OK OK E OK, but natural frequencies Results calculated over a freq. OK listed in rad/s instead of Hz. range that differs from user input. Also, node numbering problem in the printed mode shapes. F Program is actually a separate Program is actually a separate OK script for each test case; user script for each test case; user input input is ignored
experience (Doctoral dissertation, Drexel University).3. Minocha, S., & Sharp, H. (2004). Learner-Centered and Evaluation of Web-Based E-Learning Environments. The 7th HCI Educators Workshop: Effective Teaching and Training in HCI. Preston, United Kingdom.4. Ssemugabi, S., de Villiers, M.R. (2010). Effectiveness of heuristic evaluation in usability evaluation of e- learning applications in higher education. South African Computer Journal, 45, 26-39.5. Cook, D.A., & Dupras, D.M. (2004). A practical guide to developing effective web-based learning. JGIM, 19, 698-707.6. Hoyle, S., Bruton, K., Peres, S.C., & Gutierrez, T. (2012). Usability of an Interactive Educational Website for Statistics. Proceddings of the Human Factors and
. His team deployed a bomb finding robot named the LynchBot to Iraq late in 2004 and then again in 2006 deployed about a dozen more improved LynchBots to Iraq. His team also assisted in the deployment of 84 TACMAV systems in 2005. Around that time he volunteered as a science advisor and worked at the Rapid Equipping Force during the summer of 2005 where he was exposed to a number of unmanned systems technologies. His initial group composed of about 6 S&T grew to nearly 30 between 2003 and 2010 as he transitioned from a Branch head to an acting Division Chief. In 2010-2012 he again was selected to teach Mathematics at the United States Military Academy West Point. Upon returning to ARL’s Vehicle Technology
Computer Simulations of Conceptual Domains. Review of Edu. Research, 68(2), 179-201.[5] Donovan, S. & Bransford, J. D. (2005). How Students Learn. Washington, D.C.: The National Academies Press.[6] Dunbar, K. N., & Klahr, D. (2012). Scientific Thinking and Reasoning. In K. J. Holyoak and R. G. Morrison (Eds.), The Oxford Handbook of Thinking and Reasoning (pp. 701- 718). London: Oxford University Press.[7] Goleman, D. (2006). Emotional Intelligence. New York: Bantam Dell.[8] Grover, S. & Pea, R. (2013). Computational Thinking: A Review of the State of the Field. Educational Researcher, 42 (1), 38-43.[9] Hawkins, J. (2004). On Intelligence. New York: Times Books.[10] Hebb, D. (1949). The Organization of Behavior. New
skills to problem solving ina generative fashion beyond just answering multiple-choice questions.Keywords: Memory retrieval, interleaved practice, computational thinking, teachertraining, professional development,1. IntroductionThere are yet to be any content standards for teacher professional development and studentlearning outcomes in engineering, however, recent national efforts11-12 have helped build somemomentum for standardization in engineering education. While a few states have taken bold stepsto make engineering education accessible to all K-12 students, others are also using currentcontent standards to promote science and engineering (S&E) practices such as: 12 1. Asking questions (for science) and defining problems (for
://www.marxentlabs.com/what-is-virtual-reality-definition-and-examples/[3] S. Ren et al., "Design and Comparison of Immersive Interactive Learning and Instructional Techniques for 3D Virtual Laboratories," Presence: Teleoperators and Virtual Environments, vol. 24, no. 2, pp. 93-112, 2015/05/01 2015.[4] M. Limniou, D. Roberts, and N. Papadopoulos, "Full immersive virtual environment CAVE in chemistry education," Comput. Educ., vol. 51, no. 2, pp. 584-593, 2008.[5] N. Shanku, G. Sharko, and E. Prifti, "Toward Virtual – Real Laboratory on Electric Power System Engineering Courses A Successful Experience," International Journal of Pure and Applied Sciences and Technology, vol. 4, no. 2, pp. 85-97, 2011.[6] S. Amirkhani and
should befocused on the specific subjects instead of providing too much computational support. Thus,further research is necessary to identify what are the differences between different type ofchallenges and the level of scaffolding in student understanding and student performance intransfer tasks.AcknowledgementsThis research was supported in part by the U.S. National Science Foundation under the awards#EEC1329262 and #EEC1449238. Page 26.744.10References1 Turner, P., Petzold, L., Shiflet, A., Vakalis, I., Jordan, K., & St. John, S. Undergraduate computational science and engineering education. Society for Industrial and Applied
. Page 12.840.104.2.4 Determining Shift Points Given the discussion above, one can, in principle, use the nakedeye to read the shift points off the acceleration vs. speed curves shown in Figure 5. However, first gear (a) (b) acceleration (m/s 2 ) acceleration (m/s 2 ) second gear 6 6 third gear 4 fourth gear
, and Kyle Weingartner.References [1] The 2015 Gordon Research Conference on Visualization in Science and Education. https://www.grc.org/ visualization-in-science-and-education-conference/2015/. Accessed: 2019-10-16. [2] J. Barnes and P. Hut. A hierarchical O(n log n) force-calculation algorithm. Nature, 324(6096):446, 1986. [3] M. Bastian, S. Heymann, and M. Jacomy. Gephi: An open source software for exploring and manipulating networks. In Proceedings of International AAAI Conference on Weblogs and Social Media, 2009. [4] F. Beck, M. Burch, S. Diehl, and D. Weiskopf. A taxonomy and survey of dynamic graph visualization. Computer Graphics Forum, 36(1):133–159, 2017. [5] J. Berry. Improving discrete mathematics and algorithms
topicabout internal combustion engine dynamics, the system can take the student to prerequisite topicsfrom courses in algebra and physics. In this case the curriculum is not delivered as successivecourses; rather topics from different courses can be seamlessly woven together during curriculumdelivery. This ensures the shortest time span between the time at which the student takes a giventopic and the time at which he/she covers its prerequisite topic(s). Figure 5. Knowledge object from an online centrifugal pump maintenance course. Thehierarchical list on the left has the headings of other knowledge objects that constitute the course.3) Setting Learning GoalsA common problem with traditional learning is that it tends to teach all students the
systems.acknowledgementThis work has been funded by the Global Laboratory for Energy Asset Management andManufacturing (GLEAMM) and Texas Instruments.references[1] A. Ramsetty and C. Adams, "Impact of the digital divide in the age of COVID-19," Journal of the American Medical Informatics Association, vol. 27, no. 7, pp. 1147-1148, 2020.[2] H. Greenhalgh-Spencer and M. Jerbi, "Technography and design–actuality gap-analysis of internet computer technologies-assisted education: Western expectations and global education," Policy Futures in Education, vol. 15, no. 3, pp. 275-294, 2017.[3] A. Banerjee, P. Glewwe, S. Powers, and M. Wasserman, Expanding access and increasing student learning in post-primary education in
discussionboards at the same time.From Figure 4, there is an indication that students were somewhat satisfied with thetechnologies/platforms and methods used by instructors/TAs during the online session. Filteringthe data by type of methods and satisfaction indicates that students showed the greatestsatisfaction when live lecturing methods were supplemented by students being able to askquestions from the instructor during the session, at the end of the session, during office hours, orby email after the session. Method(s) used for interaction during the online session N/A 5 Participant Response
S 13 V0 Z7 Z8 V2 + S7 S8 S9 Z9 Legends S10 Z 10 S5 S 11 S6 S 12 S = Switch
AC 2008-1458: USER ADAPTIVE INTERACTIVE COURSES IN SCORMCOMPLIANT LEARNING MANAGEMENT SYSTEMSSabina Jeschke, University of Stuttgart After receiving her M.Sc. in Physics at the Berlin University of Technology in 1997, graduating with distinction, Sabina Jeschke worked as an assistant teacher at the department for mathematics and natural sciences and earned her doctorate in 2004. Holding a scholarship from the German National Academic Foundation, she spent several months of research at the NASA in Moffet Field, CA. In 2000 and 2001, S. Jeschke worked as an instructor at the GaTech (Georgia Institute of Technology, Atlanta). Since 2005, Sabina Jeschke has been associate professor for "New
some of our real-time DSP- based community outreach efforts, and more traditional engineering courses, that have been facilitated by tools such as winDSK6 and the DTMF decoder/power switch box.1 INTRODUCTIONDigital signal processing (DSP) is a topic that is covered in some way in nearly every undergraduateECE program. While there are many fine texts available,1–4 many educators and authors haverecognized the need for more interactive learning and the use of demonstrations for this importantsubject.5–8 Since the late 1990’s, the authors have been suggesting and providing proven DSPteaching methodologies, hardware and software solutions, and DSP tools that have helped motivatestudents and faculty to implement real-time DSP-based
Limited, 06 2015, pp. 243–250. [3] C. Zilles, R. T. Deloatch, J. Bailey, B. B. Khattar, W. Fagen, C. Heeren, D. Mussulman, and M. West, “Computerized testing: A vision and initial experiences,” in 2015 ASEE Annual Conference & Exposition, no. 10.18260/p.23726. Seattle, Washington: ASEE Conferences, June 2015, https://peer.asee.org/23726. [4] R. F. DeMara, N. Khoshavi, S. D. Pyle, J. Edison, R. Hartshorne, B. Chen, and M. Georgiopoulos, “Redesigning computer engineering gateway courses using a novel remediation hierarchy,” in 2016 ASEE Annual Conference & Exposition, no. 10.18260/p.26063. New Orleans, Louisiana: ASEE Conferences, June 2016, https://peer.asee.org/26063. [5] B. Chen, M. West, and C. Zilles, “How much
Society of Engineering Education (ASEE 2018), 2018. [5] Cynthia Bolt-Lee and Sheila D Foster. Examination retakes in accounting: increasing learning by writing after the exam. Language and Learning Across the Disciplines, 4(2): 40–46, 2000. [6] S. K. Carpenter, N. J. Cepeda, D. Rohrer, S. H. K. Kang, and H. Pashler. Using spacing to enhance diverse forms of learning: Review of recent research and implications for instruction. Educational Psychology Review, 24:369–378, 2012. [7] I. Clark. Formative assessment: Assessment is for self-regulated learning. Educational Psychology Review, 24:205–249, 2012. doi: 10.1007/s10648-011-9191-6. [8] J. C. F. de Winter and D. Dodou. Five-point Likert items: t test versus Mann-Whitney
Hall, Englewood Cliffs, N.J., 1984.[5] J. N. Harb, S. O. Durrant, and R. E. Terry, ”Use of the Kolb Learning Cycle and the 4MAT System in Engineering in Education,” Journal of Engineering Education, Vol. 82, April 1993, pp. 70-77.[6] J. N.Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through the Cycle: Application of Learning Style Theory to Engineering Education at Brigham Young University, 2nd Edition, Brigham Young University Press, 1995.[7] L. E. Ortiz and E. M. Bachofen, “An Experience in Teaching Structures in Aeronautical, Mechanical and Civil Engineering, Applying the Experimental Methodology,” 2001 American Society for Engineering Education Annual Conference & Exposition
iteration, but we hope to start converging towards a new instructional modelthat better serves and retains a more diverse group of students, especially students fromunderprepared backgrounds.Traditionally, the first day of classes was spent attending to typical first-day-of-classhousekeeping business as well as speaking about hardware and software and introducing thebinary number system. Next came an introduction to Linux (since in order to minimizeinstallation issues and related troubleshooting, we have students program on our remote servers),more on binary numbers, including the 2’s complement representation, the hexadecimal numbersystem, etc. By the end of the first week of classes, the first program involving simple user input,a computation and
. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a member of the IEEE Computer Society. Contact him at gursimran.walia@ndsu.edu c American Society for Engineering Education, 2019 Experiences Using a Cyber Learning Environment in CS1 ClassroomsAbstractThe Software Engineering and Programming Cyber Learning Environment (SEP-CyLE) is aweb-based platform to supplement standard course materials in CS1, CS2, software engineering,and
and D. Muller, "The MARVEL EU project: A social constructivist approach to remote experimentation," Proc. of 1st Remote Engineering and Virtual Instrumentation International Symposium (REV'04), pp. 28-29, 2004.[3] E. Scanlon, E. Morris, T. Di Paolo and Cooper, "Contemporary approaches to learning science:Technologically-mediated practical work," Studies in Sci. Education, vol. 38, p. 73–114, 2002.[4] M. Casini, D. Prattichizzo and A. Vicino, "The Automatic Control Telelab: a web-based technology for distance learning," IEEE Control Systems Magazine, vol. 24, no. 3, pp. 36-44, 2004.[5] S. Poindexte and B. Heck, "“Using the Web in your Courses: the How-To's and the Why's”," Proc. of American Control Conference, pp. 1304
correlation coeff. rQQ s 9 8 0 7 6 −0.1 5 −0.2 4 3 −0.3 2 1 −0.4 1 2 3 4 5 6 7 8 9 10 11
the feedback they received; the intent was to discern if therewas a difference between the Tegrity and Standard written feedback sections in this respect. Thisquestion was utilized in the Fall, 2013, Spring 2014 and Fall 2014 semesters. Forty four studentsin the Tegrity feedback sections and 66 students in the Standard Written feedback sectionsanswered this particular question. It was phrased as follows: Page 26.279.8Answer the following question(s) about feedback and circle all that apply: a. I understood the feedback my instructor gave me. b. The feedback I received conveyed enthusiasm and helpfulness on the part
according to theteaching procedure. The system interface is shown in Figure 2. The basic functions in mostlearning platforms were also included in the system, such as: schedule reminder, discussionforums (asynchronous), video conferencing (synchronous), assignment submission, feedbackevaluation and so on. Particularly, the project based learning which consists of five stageswas implemented in the learning system: Preparation (P) - Implementation (I) - Presentation(P) - Evaluation (E) - Revision (R), and SCAMPER teaching strategy which includes seventhinking-based dimensions: Substitute (S), Combine (C), Adapt (A), Modify (M), Put to otheruses (P), Eliminate (E) and Rearrange (R). At each stage, students were able to use theactivity module provided
Paper ID #22813Using Gamification and Cyber Learning Environment to Improve Students’Learning in an Introductory Computer Programming Course: An EmpiricalCase StudyMrs. Mourya Reddy Narasareddy Gari, North Dakota State University I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human