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Issue No.03 - May-June (2013 vol.15)
pp: 96-103
Rubin H. Landau , Oregon State University
Manuel J. Paez , Universidad de Antioquia
Cristian C. Bordeianu , Câmpulung Moldovenesc
A complete eTextBook with multiple executable elements has been created and Web-based versions have been placed in the National Science Digital Library. The book's file formats and executable elements were chosen to be platform-independent, highly useable, and free. Although future technologies and operating systems promise improved executable books, this eTextbook highlights some of the features possible with existing technologies. The prototype eTextBook includes text, computational laboratories, demonstrations, and video-based lecture modules.
Scientific computing, Multimedia communication, Learning systems, Electronic learning, Text processing, Simulation, multimedia, scientific education, scientific computing, eTextBook, simulation
Rubin H. Landau, Manuel J. Paez, Cristian C. Bordeianu, "A Blended, Multimodal Access eTextBook in Computational Physics", Computing in Science & Engineering, vol.15, no. 3, pp. 96-103, May-June 2013, doi:10.1109/MCSE.2013.53
1. R.H. Landau, M.J. Paez, and C.C. Bordeianu, A Survey of Computational Physics: Introductory Computational Science, Princeton Univ. Press, 2008.
2. J.M. Carroll and J.R. Olson, Mental Models in Human-Computer Interaction: Research Issues about What the User of Software Knows, tech. report, 1987; www.nap.eduopenbook.php?isbn=POD266.
3. C. Dede et al., “Multisensory Immersion as a Modeling Environnment for Learning Complex Scienti?c Concepts,” Modeling and Simulation in Science and Mathematics Education, Springer-Verlag, 1999, pp. 282–319.
4. M.J. Farah et al., “Visual and Spatial Mental Imagery: Dissociable Systems of Representation,” Cognitive Psychology, vol. 20, no. 4, 1988, pp. 439–462.
5. M.S. Donovan, J.D. Bransford, and J.W. Pellegrino eds., How People Learn, Nat'l Academy Press, 1991.
6. M.C. Salzman et al., “, A Model for Understanding How Virtual Reality Aids Complex Conceptual Learning,” Presence, vol. 8, no. 3, 1999, pp. 293–316.
7. P. Davis, “How Undergraduates Learn Computer Skills,” THE Journal, vol. 26, no. 69, 1999, pp. 68–71.
8. O. Hazzan and J.E. Tomayko, “Re?ection and Abstraction in Learning Software Engineering's Human Aspects,” Computer, vol. 38, no. 6, 2005, pp. 39–46.
9. Shaping the Future: New Expectations for Undergraduate Education in Science, Math., Engineering, and Technology, tech. report NSF96139, US Nat'l Science Foundation, 3 Oct. 1996; .
10. J. Larkin, “The Role of Problem Representation in Physics,” Mental Models, Lawrence Earlbaum Associates, 1983, pp. 75–98.
11. R.H. Landau, M.J. Paez, and C. Bordeianu,A Survey of Computational Physics: Introductory Computational Science, Python Multimodal eBook beta version 4.3, Princeton Univ. Press, 2012; http://science.oregonstate.edueBookWorking .
12. I.E. Allen and J. Seaman, Learning on Demand: Online Education in the United States, 2009, report, The Sloan Consortium, 2009; surveylearning_on_demand_sr2010.
13. T.R. Ramage, “The 'No Signi?cant Difference' Phenomenon: A Literature Review,” J. Instructional Science and Technology, vol. 5, no. 1, 2002, pp. 1–7.
14. A.G. Picciano, “Beyond Student Perceptions,” J. Asynchronous Learning Networks, vol. 6, no. 1, 2002, pp. 21–40.
15. C.A. Twigg, Improving Learning and Reducing Costs: Redesigning Large-Enrollment Courses, The Pew Learning and Technology Program, 2003;
16. A.G. Picciano, “Blended Learning: Implications for Growth and Access,” J. Asynchronous Learning Networks, vol. 10, no. 3, 2006, pp. 95–102.
17. G. Moses et al., “eTeach: New Technologies for Active Learning,” EnVision, vol. 17, no. 3, 2001; .
18. R. Hudson, “PDFs and Accessibility,” Web Usability, 1 May 2004; .
19. The Nat'l Center on Accessible Information Technology in Education, “Is PDF Accessible?” AccessIT, Univ. of Washington, 2011,
20. T.V. Raman, “AsTeR: Audio System for Technical Readings,” Information Technology and Disabilities J., vol. 1, no. 4, 1994; .
21. S. Ainsworth et al., Cyberinfrastructure for Education and Learning for the Future: A Vision and Research Agenda, tech. report REC-0449247, Computing Research Assoc., Nat'l Science Foundation, 2004.
22. T. Rosenstiel and A. Mitchell, State of the News Media 2011: An Ann. Report on Am. Journalism, report, Pew Research Center's Project for Excellence in Journalism, 2011; http://stateofthemedia.orgoverview-2011.
23. R.H. Landau, “Computational Physics for Undergraduates: The CPUG Degree Program at Oregon State University,” Computing in Science & Eng., vol. 6, no. 2, 2004, pp. 68–75.
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