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First-Year Engineering Student Perceptions in Programming Self-Efficacy and the Effectiveness of Associated Pedagogy Delivered via an Introductory, Two-Course Sequence in Engineering

Conference Session: Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: James E. Lewis, University of Louisville; Brian Scott Robinson, University of Louisville; Nicholas Hawkins, University of Louisville
Tagged Divisions: Computers in Education

of 2014, the J. B. Speed School of Engineering (SSoE) at the University of Louisville(UofL) commenced an endeavor to renovate the school’s existing course(s) focused onintroducing first-year students to the profession and fundamentals of engineering, resulting in atwo-course sequence that all first-year SSoE students are required to take. The first component ofthis sequence, Engineering Methods, Tools, & Practice I (ENGR 110), is structurally analogousto the previously existing introductory course and is primarily focused on introduction to andpractice with fundamental engineering skills. The second component, Engineering Methods,Tools, and Practice II (ENGR 111), is a makerspace-based course primarily focused onapplication and

Relevance Score: 0.025916595

Translating the Instructional Processor from VHDL to Verilog

Conference Session: COED: EE Topics
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Ronald J. Hayne, The Citadel
Tagged Divisions: Computers in Education

in Figure 1. BUS A BUS B STACK BUS C 12 PC MEMORY IR 000 I/O A1 A2 007 1 008 REGS 2 2 Data

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Interactive Computer Based Virtual Classroom For Engineering Courses

Conference Session: Web-Based Education
Collection: 2007 Annual Conference & Exposition
Authors: Ahmed Abu-Hajar, San Francisco State University; Michael Holden, San Francisco State University
Tagged Divisions: Computers in Education

; Vagge, S. (1999). Maximizing constructivist learningfrom multimedia communications by minimizing cognitive load. Journal of EducationalPsychology, 91(4), 638–643.4. McCombs, B. L. (2000). Assessing the role of educational technology in the teaching andlearning process: A learner centered perspective. The Secretary Conference on EducationalTechnology 2000.5. http://www.nsf.gov/crssprgm/reu/6. Way Kuo, Assessment for US Engineering Programs, IEEE Transaction on Reliability, vol 55,March 2006, pp 1-67. F. Frankel, “Translating Science into Pictures: A Powerful Learning Tool,” Invention andImpact: Building Excellence in Undergraduate Science, Technology, Engineering, andMathematics (STEM) Education, AAAS Press, 2005, pp. 155-158.8. L. Cochran et al

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Learning Style, Student Motivation, And Active Learning

Conference Session: Programming for Engineering Students II
Collection: 2009 Annual Conference & Exposition
Authors: William Birmingham, Grove City College; Vincent DiStasi, Grove City College; Gary Welton, Grove City College
Tagged Divisions: Computers in Education

Classroom Interaction and Management Software. [Online] www.dyknow.com.3. Anderson, R. Classroom Presenter. [Online] www.cs.washington.edu/education/dl/presenter.4. DiStasi, V.F., W.P. Birmingham, A. Gunawandara, D. Ayers, G. Welton, Evaluating learning software in theclassroom: a preliminary study West Lafayette, IN : Purdue University Press, 2007. The Second Workshop on theImpact of Pen-based Technology of Education (WIPTE).5. Felder, R.M. and B. A. Soloman, Index of Learning Styles. [Online] www.ncsu.edu/felder-public/ILSpage.html.6. DiStasi, V. F. and W. P Birmingham, Chalkboards no more: technology that radically changes the classroomCharleston, WV : s.n., March, 2007. In Proceedings of the ASEE 2007 North Central Section Conference.7. DiStasi

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Embedded Software Design Methodology To Help Students Succeed In The Real World

Conference Session: Embedded Computing
Collection: 2007 Annual Conference & Exposition
Authors: Keith Curtis, Microchip Technology Inc.
Tagged Divisions: Computers in Education

AC 2007-1261: EMBEDDED SOFTWARE DESIGN METHODOLOGY TO HELPSTUDENTS SUCCEED IN THE REAL WORLDKeith Curtis, Microchip Technology Inc. Page 12.595.1© American Society for Engineering Education, 2007 Embedded Software Design Methodology to Help Students Succeed in the Real WorldIntroduction: A Tool for Entering the Workforce with ExperienceIn the good old days, new engineers could look forward to a long and rewarding career,working for a well-established engineering firm. They would typically spend their firstyear of employment “learning the ropes” from older, more-experienced engineers.During this apprenticeship, they would pick up the tips, tricks and

Relevance Score: 0.025833026

Board 22: The Effects of Mobile Circuits on Student Learning Outcomes: Evidence from Real-time Time-stamped Interaction Data

Conference Session: Poster Session
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Kenie R. Moses
Tagged Divisions: Computers in Education

: Effects on Schema Acquisition,” The Journal of the Learning Sciences,vol. 2, no. 3, pp. 307–331, 1992.[8] P. Brusilovsky and C. Peylo, “Adaptive and Intelligent Web-Based Educational Systems,”International Journal of Artificial Intelligence in Education, vol. 13, pp. 156-169, 2003.[9] M. A. Ringenberg and K. VanLehn, “Scaffolding problem solving with annotated, worked-outexamples to promote deep learning,” in Intelligent tutoring systems, pp. 625–634, 2006.[10] B. Deken and C. Cowen, “Development of Computer Aided Learning Software for Use in ElectricCircuit Analysis,” in Proceedings of The 2011 IAJC-ASEE International Conference ISBN 978-1-60643-379, 2011, vol. 9.[11] B. S. Rodanski, “Dynamic Web-Based Tutorial Tool,” in 2006 7th International

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Developing Cyber Warriors from Computer Engineers et al.

Conference Session: Best of Computers in Education Division
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Barry E. Mullins P.E., Air Force Institute of Technology
Tagged Divisions: Computers in Education

, and R. A. Raines The Morphing of a Cyber Operations Curriculum at AFIT IAnewsletter, Vol. 10 No. 1 Spring 2007, pp. 26-30, http://iac.dtic.mil/iatac/IA_newsletter.jsp.15. D. Dombey, Pentagon warns of security threat, http://www.ft.com/cms/s/0/e1a1ce6e-03d7-11e0-8c3f- 00144feabdc0.html#axzz181OoEB4r, last accessed 13 December 2010.16. B. E. Mullins, T. H. Lacey, R. F. Mills, J. M. Trechter and S. D. Bass, “How the Cyber Defense Exercise Shaped an Information-Assurance Curriculum,” IEEE Security and Privacy, Vol. 5, No. 5, September/October 2007, pp. 40-49.17. National Collegiate Cyber Defense Competition, http://www.nationalccdc.org/, last accessed 6 January 2011.18. DC3 Digital Forensics Challenges, http://www.dc3

Relevance Score: 0.025737893

Implementation Of Tablet Pc Technology In Me 2024 Engineering Design And Economics At Virginia Tech

Conference Session: Re-Imagining the Higher Ed Classroom -- Tablet PCs
Collection: 2008 Annual Conference & Exposition
Authors: Dewey Spangler, Virginia Western Community College; Kimberly Filer, Virginia Polytechnic Institute and State University
Tagged Divisions: Computers in Education

, and intake/exhaust valves of thedissected ICE. Figure 7 – Vision© Panel of a Team Sketch of a Briggs and Stratton 5 HP ICEProduct Design ReviewIn the final weeks of the semester teams form pairs to review and critique each other’s productdesign. The exercise simulates real-world industry practice and requires teams to articulate theirdesign to peers and to receive constructive criticism. Appendix B shows an example of theworksheet distributed to students during this in-class activity. Teams are paired randomlyresulting in groups of six students. A single host is designated to establish a OneNote intranet.The reviewed team distributes a CAD drawing to the critiquing team showing orthographicviews of their final product design. Final

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Prism: Teaching Digital Proficiencies For 21 St Century Engineering Education

Conference Session: Computer Education Innovations II
Collection: 2010 Annual Conference & Exposition
Authors: Patricia Carlson, Rose-Hulman Institute of Technology; Ryan Smith, Rose-Hulman Institute of Technology
Tagged Divisions: Computers in Education

, attitudes, and/orbeliefs have been mastered.Step Three: Develop a Pedagogy and Instructional Methods ProfileCreate an instructional design for the unit. This includes (a) identifying a learning theoryframework (such as social constructivism) and (b) tentatively selecting types of activities (suchas teamwork). Determining the mix of technology and non-technology in the learningexperiences is central to this phase of lesson planning.Step Four: Develop Content and Integrating PRISM’s Learning ToolsWith a theory-driven framework in hand, the teacher develops a case or a scenario that containsat least one major research question for students to investigate. Using an active learningparadigm, the inquiry culminates in a product that reifies learning

Relevance Score: 0.02563702

Effects of YouTube Video as Pre-Lecture Preparation

Conference Session: Technical Session 13: Digital Learning
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Sang Myong Yim, United States Military Academy; Christopher J. Lowrance, United States Military Academy; Eric M. Sturzinger, United States Military Academy
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Network Systems Engineer (FA26A) who has served in various positions across multiple combatant commands. He initially served as a Platoon Leader in B Co., 52nd Infantry Regiment (Anti-Tank), 2nd Stryker Brigade Combat Team, 25th Infantry Division from 2009-2010 at Schofield Barracks, HI. MAJ Sturzinger then deployed to Iraq in support of Operation Iraqi Freedom and Operation New Dawn from 2010-2011, serving as Executive Officer of HHC, 2nd SBCT, 25th ID. Upon graduating the Telecommunication System Engineer Course in 2012, he served as Systems Engineer of 7th Theater Tactical Signal Brigade in Schweinfurt, Germany from 2012-2013 and later as Systems Engineer of 44th Expeditionary Signal Battalion from 2013-2015 in

Relevance Score: 0.025619026

Quantitative Correlation between Student Use of Office Hours and Course Performance

Conference Session: Data Analysis and Assessment
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Cinda Heeren, University of Illinois, Urbana-Champaign; Wade Fagen-Ulmschneider, University of Illinois, Urbana-Champaign
Tagged Divisions: Computers in Education

-Person Statistics on Questions Answered Semester Enroll- Receiving In- Questions per Student Receiving In-Person Course Instructor ment Person Help Answered Help # % Total Mean Median Range σ Fall ‘13 A 502 259 51.6% 2,828 10.9 5 1…77 13.6 Data Sp. ‘14 A 586 292 49.8% 2,593 8.9 5 1…100 11.5 Structures Fall ‘14 A 592 309 52.2% 2,813 9.1 4 1…89 12.3 Fall ‘13 B 210 128 61.0% 1,259 11.3 6

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Measuring Awareness of Computational Thinking in Kuwaiti Educational Institutions

Conference Session: Computers in Education 2 - Programming 2
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Safia Malallah, Kansas State University; Khaled Nasser Alsalmi, The Public Authority for Applied Education and Training; Joshua Levi Weese, Kansas State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Paper ID #34235Measuring Awareness of Computational Thinking in Kuwaiti EducationalInstitutionsSafia Malallah, Kansas State University Safia Malallah is a web developer, artist, and Ph.D. candidate at Kansas State University. She obtained her master’s degree in computer science from Montana State University in 2017. Her research is centered around metamorphic testing in scientific software. Safia’s research interests expanded to include com- puter science education after observing the influence computer science has on her children. Her current research project is examining methods of teaching young children computational

Relevance Score: 0.025534406

Evaluation of an Introductory Embedded Systems Programming Tutorial using Hands-on Learning Methods

Conference Session: Computer Programming and Simulation
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Gregorio E. Drayer, Georgia Institute of Technology; Ayanna M. Howard, Georgia Institute of Technology
Tagged Divisions: Computers in Education

with embedded systems before? If, yes, please specify the course(s), projects developed, and devices used. 6. Have you worked with open-source embedded systems? i.e. Arduino, Raspberry Pi, etc. Please specify with which devices you have worked and enumerate the projects developed.For Questions 2-4, students selected their response from a simple choice list of options. Theoptions were: (a) A lot, (b) Some, (c) A little, and (d) None. Questions 5 and 6 included fields thatoffered students the opportunity to elaborate in their responses.3.3 Post-Tutorial Survey QuestionsThe questions of the post-tutorial survey allowed for collecting feedback from the students abouttheir experience conducting the exercises in the tutorial modules

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Utilizing Interactive Web Based Dynamics Animation Software In Order To Obtain Graphs Of Parametric Studies

Conference Session: Computational Tools and Simulation II
Collection: 2010 Annual Conference & Exposition
Authors: Richard Stanley, Kettering University; Timothy Cameron, Kettering University
Tagged Divisions: Computers in Education

parametric study by varying the initial velocity angle(ηV0) from 10° to 80º in steps of 10º. Graph the default values as a function of time (X, Y,VX, VY, AX, AY). Print out each graph and perform the following analyses: a) Analyze and explain the general trends of the series of curves in each graph. b) Explain why the individual curves change as ηV0 changes in each graph.Where:X = Position in X-Direction (meters) Y = Position in Y-Direction (meters) Page 15.1348.4VX = Velocity in X-Direction (m/sec) VY = Velocity in Y-Direction (m/sec)AX = Acceleration in X-Direction (m/s2) AY = Acceleration in Y-Direction (m/s2

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I-3 Experience: Expanding Research and Design Opportunities for Under-represented High School Students

Conference Session: Robots and K-12 Computer Applications
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Christina Gardner-McCune, Human Centered Computing Clemson University; Darrryl Bryant DUPE McCune II, YES Beyond Limits; Chanteal Maria Edwards; Cedric Stallworth, Georgia Institute of Technology, College of Computing
Tagged Divisions: Computers in Education

her master’s and doctorate in Computer Science from Georgia In- stitute of Technology. She is also a board member of Y-STEM (Youth Science, Technology, Engineering, and Mathematics organization), a non-profit foundation focused on enhancing the quality and accessibility of formal and informal STEM learning opportunities to African American and disadvantaged youth.Mr. Darrryl Bryant McCune II, YES Beyond Limits Darryl B. McCune II is a certified IT specialist through Georgia’s Metropolitan Regional Education Ser- vice Agency. For the past two years he has been developing computer science curriculum in collaboration with the office of Outreach, Enrollment, and Community of Georgia Tech. His work has focused on

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Work-in-Progress: Using Modern Mobile Technologies in STEM Education

Conference Session: Computers in Education Division Poster Session
Collection: 2012 ASEE Annual Conference & Exposition
Authors: xue zhang; Debbie Vogel, Sprint; Mahesh K. Banavar, Arizona State University; Shuang Hu; Andreas S. Spanias, Arizona State University; Photini Spanias; Jayaraman J. Thiagarajan, Arizona State University
Tagged Divisions: Computers in Education

remarks are presented. Page 25.1496.4Figure 2. The customized University ID package that can be used to access portals and applications such as (a)Mobile Blackboard, (b) MATLAB, (c) YouTube, and (d) Android-based Java-DSP.The University Portal and its Associated AppsFigure 2 shows a preliminary realization of the University ID smart phone portal. It containsseveral STEM related applications including Blackboard MobileTM Learn, MATLAB®, IEEETMXplore, the J-DSP environment9, YouTubeTM and FacebookTM. In Figure 2, we also illustrate theMobile Blackboard content access environment, the MATLAB® environment, the use ofYouTubeTM to access an educational

Relevance Score: 0.025410952

Using anonymity and rounds-based structure for effective online discussions in STEM courses

Conference Session: Computing Technology Session 3
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Swaroop Joshi, The Ohio State University; Neelam Soundarajan, Ohio State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Collaborative Learning, 1(1):89–115, March 2006. [3] C. Crouch and E. Mazur. Peer Instruction: Ten years of experience and results. American Journal of Physics, 69(9):970–977, September 2001. [4] R. J. Dufresne, W. J. Gerace, W. J. Leonard, J. P. Mestre, and L. Wenk. Classtalk: A classroom communication system for active learning. Journal of Computing in Higher Education, 7(2): 3–47, March 1996. [5] J. Piaget. The early growth of logic in the child. Routledge, London, 1964. [6] W. Doise and G. Mugny. Sociocognitive conflict. In The Social Development of the Intellect, volume 10, pages 77–101. Pergamon, Amsterdam, 1984. [7] S. D’Mello, B. Lehman, R. Pekrun, and A. Graesser. Confusion can be beneficial for learning. Learning and

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Examining the Social Construction of Cross-reality Technologies in Learning

Conference Session: Computers in Education 10 - Technology 2
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Valerie Varney, TH Cologne; Dominik May, University of Georgia
Tagged Divisions: Computers in Education

. Beggs. “Technology for the sake of it, I don’t think so!” In ALTC Association for Learning Technology. 2018. Online: https://altc.alt.ac.uk/2018/sessions/technology-for-the-sake-of-it-i-dont-think-so-18-176/#gref [7] K. Roose. “This Should Be V.R.’s Moment. Why Is It Still So Niche?” The New York Times. 2020. Online Retrieved from https://www.nytimes.com/2020/04/30/technology/virtual-reality.html [8] J. A. Paradiso and J.A. Landay. “Guest editors' introduction: Cross-reality environments.” IEEE Pervasive Computing, 2009, 8(3), 14-15. [9] B. Simões, R. De Amicis, I. Barandiaran and J. Posada. “Cross reality to enhance worker cognition in industrial assembly operations.” The

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Can We Make Students Lifelong Learners Through Social Networks?

Conference Session: Social Media and In-class Technology: Creating Active Learning Environments
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Gonca Altuger-Genc, University of Massachusetts, Lowell; Yegin Genc, Stevens Institute of Technology
Tagged Divisions: Computers in Education

pre-implementation and the post-implementation surveys are aimed to gainknowledge and learn more about the students’ experiences regarding the self-directedlearning process. The initial survey mainly targeted to understand students’ socialnetwork account ownership statistics as well as to learn why they have social networkmemberships and accounts. The question regarding the membership usage is providedas: “I am a part of a social network, because: a. Everybody else is b. It is a way of representing myself c. It is my online identity d. To keep in touch with friends and family e. To make new friends f. To share news, updates, thoughts, pictures with friends and family”The

Relevance Score: 0.025302716

Distance Delivery of Courses: What Components are Important to Students?

Conference Session: Best of Computers in Education Division
Collection: 2011 ASEE Annual Conference & Exposition
Authors: Carole E. Goodson, University of Houston; Susan L. Miertschin, University of Houston; Barbara L. Stewart, University of Houston
Tagged Divisions: Computers in Education

be given careful consideration in designing and assessingonline courses.Bibliography1. Allen IE, Seaman J. Staying the course - online education in the United States, 2008. Needham, MA: Sloan Consortium, 2008.2. Picciano AG, Seaman J. K-12 online learning - a 2008 follow-up of the survey of U.S. school district administrators. Needham, MA: Sloan Consortium, 2009.3. Howell S, Baker K. Good (best) practices for electronically offered degree and certificate programs: A 10- year retrospect. Distance Learning. 2006;3(1):41-7.4. Goodson CE, Stewart B, Miertschin SL, Faulkenberry L. Comprehensive program assessment: the whys and wherefores. Proceedings of the 2004 American Society for Engineering Education

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Work-in-Progress: Videos and Video Podcasts - What Engineering Educators Ought to Know

Conference Session: Computers in Education (CoED) Engineering Poster Session
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Bill M. Diong, Southern Polytechnic State University
Tagged Divisions: Computers in Education

watch the video(s) on a PC, laptop or other portable electronic device ?Did you watch the video(s) at home, school or other location ?Was the length (and detail) of the video clips (a) too short/little, (b) too long/much, (c) just right? Page 23.1397.8

Relevance Score: 0.025297333

Microblogging in the Large Lecture Classroom: Facilitating Participation for Students with High Communication Apprehension

Conference Session: Social Media and In-class Technology: Creating Active Learning Environments
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Mihaela Vorvoreanu, Purdue University, West Lafayette; Erin E. Bowen, Purdue University, West Lafayette; Dawn D. Laux, Purdue University
Tagged Divisions: Computers in Education

study’s limitations, which include arelatively small and homogenous sample, the collection of data in one course and one setting,and the introduction of the microblogging tool very late in the semester. Further research isneeded to explore how educators can optimize the use of microblogging for increasedparticipation in the large lecture setting.References1 Alexander, B. Web 2.0: A new wave of innovation for teaching and learning? Educause Review 41, 32-44 (2006).2 Grosseck, G. & Holotescu, C. Can we use Twitter for educational activities. The 4th International Scientific Conference eLearning and Software for Education (2008).3 Alexander, B. Social networking in higher education. The Tower and the Cloud, 197-201

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Technology Decisions of Engineering Students for Solving Calculus Questions

Conference Session: Computers in Education 9 - Technology 1
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Emre Tokgoz, Quinnipiac University; Samantha Eddi Scarpinella, Quinnipiac University; Michael Giannone, Quinnipiac University
Tagged Divisions: Computers in Education

education. We encourage researchers and educators to further investigate along theline of this research. It is essential to learn and improve engineering students’ technology preferences tosolve calculus questions. 8. ReferencesFelder R. and L. Silverman. "Learning and Teaching Styles in Engineering Education, ASEE journal ofEngineering Education, 78(7), 674-681, 1988.Rosati, P. "The Learning Preferences of Engineering Students From Two Perspectives," Proceedings ofthe 1998 ASEE, Frontiers in Engineering (FlE) conference, November 1998.Tokgöz, E., Tekalp E. N., Tekalp S. B., Tekalp H. A., Undergraduate STEM Students’ Role in MakingTechnology Decisions for Solving Calculus Questions and the Impact of These Decisions on LearningCalculus, 127th Annual

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Teaching Structured Programming Using Lego Programmable Bricks

Conference Session: Mobile Robotics in Education
Collection: 2007 Annual Conference & Exposition
Authors: Eric Wang, University of Nevada-Reno; Jeffrey LaCombe, University of Nevada-Reno; Ann-Marie Vollstedt, University of Nevada-Reno
Tagged Divisions: Computers in Education

Frontiers in Education Conference, Session F1F, Boulder, CO, November 2003. 3. Self, B., Wood, J. and Hansen, D., “Teaching Undergraduate Kinetics Using LEGO Mindstorms Race Car Competition,” proceedings of the ASEE Annual conference and exhibition, session 3668, 2004. Page 12.1370.9 4. Cyr, Martha, Miragila, V., Nocera, Rogers, Chris, "A Low-Cost, Innovative Methodology for Teaching Engineering Through Experimentation," Journal of Engineering Education, 86(2):167-171, 1997.5. Portsmore, M., Cyr. M, and Rogers, C. "Integrating the Internet, LabVIEW, and Lego bricks into modular data acquisition and

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Virtual Peer Teams: Connecting Students with the Online Work Environment

Conference Session: Virtual Instruction and Collaboration
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Thalia Anagnos, San Jose State University; Alicia L. Lyman-Holt, Oregon State University; Sean P. Brophy, Purdue University, West Lafayette
Tagged Divisions: Computers in Education

Paper ID #12344Virtual Peer Teams: Connecting Students with the Online Work Environ-mentDr. Thalia Anagnos, San Jose State University Dr. Thalia Anagnos is a professor in the General Engineering Department at San Jose State University, where she has taught since 1984. From 2009 to 2014 she served as co-Leader of Education, Outreach, and Training (EOT) for the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES), a consortium of 14 large-scale earthquake engineering experimental facilities. As co-Leader of NEES EOT she also served on the leadership team for the NEES REU program.Ms. Alicia L Lyman-Holt

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Relating Continuous Time And Discrete Time In The Classroom

Conference Session: Educational Software
Collection: 2008 Annual Conference & Exposition
Authors: Mark Hopkins, Rochester Institute of Technology
Tagged Divisions: Computers in Education

AC 2008-2741: RELATING CONTINUOUS-TIME AND DISCRETE-TIME IN THECLASSROOMMark Hopkins, Rochester Institute of Technology Mark A. Hopkins is an Associate Professor in the Dept. of Electrical Engineering at Rochester Institute of Technology (RIT), Rochester, NY. He obtained his Ph.D. in Electrical Engineering from Virginia Tech in 1988. His main research interests are in the areas of modeling and controlling large flexible structures, and engineering education. Page 13.1030.1© American Society for Engineering Education, 2008 Relating Continuous-Time and Discrete-Time in the ClassroomAbstractIt never ceases to

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Automatically Understanding Handwritten Self-explanations

Conference Session: CoED General Technical Session II
Collection: 2012 ASEE Annual Conference & Exposition
Authors: James Herold, University of California, Riverside; Thomas Stahovich, University of California, Riverside
Tagged Divisions: Computers in Education

. Michelene; Miriam Bassok; Matthew W. Lewis; Peter Reimann; Robert Glaser Chi. Self-explanations: How students study and use examples in learning to solve problems. In Cognitive Science, pages 145–182, 1989. [2] Richard E. Mayer. Cognitive, metacognitive, and motivational aspects of problem solving. Instructional Science, 26(1-2):49–63, 1998. [3] A.L. Brown and J.D. Day. Macrorules for summarizing texts: The development of expertise. Journal of Verbal Learning and Verbal Behavior, 22:1–14, 1983. [4] P.S. Steif, J. Lobue, A. L. Fay, and L. B. Kara. Improving problem solving performance by Page 25.246.9 inducing talk about salient