An Integrated Virtual Environment for Active and Collaborative e-Learning in Theory of Computation

IEEE Transactions on Learning Technologies

Volumn 1, Issue 2, 2008, Pages 117-130

  Hamada, Mohamed ^a  

^a UNIVERSITY OF AIZU   (Japan)

Author keywords

automata; collaborative learning; Computer uses in education; computer assisted instructions; distance learning; theory of computation

Indexed keywords

AUTOMATA; COLLABORATIVE LEARNING; COMPUTER USES IN EDUCATION; COMPUTER-ASSISTED INSTRUCTIONS; DISTANCE LEARNING; THEORY OF COMPUTATION;

AUTOMATA THEORY; COMPUTER AIDED INSTRUCTION; DISTANCE EDUCATION; E-LEARNING; INTERNET; INTEROPERABILITY; MULTIMEDIA SYSTEMS; PROGRAMMING THEORY; SCHOOL BUILDINGS; TRANSLATION (LANGUAGES); VIRTUAL REALITY; WORLD WIDE WEB;

EDUCATION;

EID: 79952971773     PISSN: 19391382     EISSN: None     Source Type: Journal    
DOI: 10.1109/TLT.2008.3     Document Type: Article

References (34)

1. H. Bergstrom, “Applications, Minimization, and Visualization of Finite State Machines,” master thesis, Stockholm Univ., http://www.dsv.su.se/~henrikbe/petc/, 1998
2. J. Bovet, Visual Automata Simulator, a Tool for Simulating Automata and Turing Machines, Univ. of San Francisco, http://www.cs.usfca.edu/~jbovet/vas.html, 2004
3. S. Britain, “A Review of Learning Design: Concepts, Specifications and Tools,” A Report for JISC E-Learning Pedagogy Programme, May 2004
4. N. Christin, DFApplet, a Deterministic Finite Automata Simulator, http://www.sims.berkeley.edu/~christin/dfa/, 1998
5. R. Felder and L. Silverman, “Learning and Teaching Styles in Engineering Education,” Eng. Education, vol. 78, no. 7, pp. 674–681, 1988
6. R. Gagne, The Conditions of Learning and Theory of Instruction, fourth ed. Holt, Rinehart, and Winston, 1985
7. S. Hadjerrouit, “Learner-Centered Web-Based Instruction in Software Engineering,” IEEE Trans. Education, vol. 48, no. 1, pp. 99–104, 2005
8. S. Hadjerrouit, “Toward a Constructivist Approach to E-Learning in Software Engineering,” Proc. World Conf. E-Learning in Corporate, Govt., Healthcare, and Higher Education (E-Learn), pp. 507–514, 2003
9. M. Hamada, “Visual Tools and Examples to Support Active E-Learning and Motivation with Performance Evaluation,” LNCS 3942, pp. 147–155, 2006
10. E. Head, “ASSIST: A Simple Simulator for State Transitions,” master thesis, State Univ. of New York, http://www.cs.binghamton.edu/~software/, 1998
11. N. Herrmann, The Creative Brain. Brain Books, 1990
12. Java2D of Sun Microsystems, http://www.sun.com, 2007
13. Java Team, Buena Vista Univ., http://sunsite.utk.edu/winners_circle/education/EDUHM01H/applet.html, 2008
14. J. Keller, “Development and Use of the ARCS Model of Motivational Design,” J. Instructional Development, vol. 10, no. 3, pp. 2–10, 1987
15. D. Kolb, Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall, 1984
16. S. Li and R. Challoo, “Restructuring an Electric Machinery Course with Integrative Approach and Computer-Assisted Teach Methodology,” IEEE Trans. Education, vol. 49, no. 1, pp. 16–28, 2006
17. J. Masters and T. Madhyastha, “Educational Applets for Active Learning in Properties of Electronic Materials,” IEEE Trans. Education, vol. 48, no. 1, 2005
18. M. Merrill, “Component Display Theory,” Instruction Design Theories and Models: An Overview of Their Current Status, C. M. Reigeluth, ed., pp. 279–334, Lawrence Erlbaum Assoc., 1983
19. M. Mohri, F. Pereria, and M. Riley, Software Tools. AT&T FSM Library, http://www.research.att.com/sw/tools/fsm/, 2003
20. S. Mudur et al., “A Methodical Assessment of Integrative Model-Based E-Course Development,” IEEE Trans. Education, vol. 48, no. 4, pp. 605–611, 2005
21. I. Myers, Gifts Differing. Consulting Psychologists Press, 1980
22. R. Nelson and A. Shariful Islam, “Mes—A Web-Based Design Tool for Microwave Engineering,” IEEE Trans. Education, vol. 49, no. 1, pp. 67–73, 2006
23. C.M. Reigeluth, ed., Instruction Design Theories and Models—A New Paradigm of Instruction Theory, vol. II, Lawrence Erlbaum Assoc., 1999
24. S. Rodger, “Visual and Interactive Tools,” Website of Automata Theory Tools at Duke Univ., http://www.cs.duke.edu/~rodger/tools/, 2006
25. P. Rosati, “The Learning Preferences of Engineering Students from Two Perspectives,” Proc. 28th Ann. Frontiers in Education Conf. (FIE '98), pp. 29–32, 1998
26. B. Soloman and R. Felder, Index of Learning Style Questionnaire, http://www.engr.ncsu.edu/learningstyle/ilsweb.html, 2008
27. G. Wilson, ed., Constructivist Learning Environments: Case Studies in Instructional Design, Educational Technology, 1998
28. The Apache Software Foundation, http://www.apache.org, 2006
29. Apache Tomcat, http://tomcat.apche.org, 2006
30. “Transforming Undergraduate Education in Science, Mathematics, Engineering, and Technology,” Committee on Undergraduate Science Education, Center for Science, Math., and Eng. Education, Nat'l Research Council, ed., Nat'l Academy Press, 1999
31. IMS-LD Learning Design Specifications, http://www.imsglobal.org, 2007
32. The Advanced Distance Learning Group, http://www.adlnet.gov, 2007
33. Modular Object Oriented Dynamic Learning Environment (MOODLE '07), http://moodle.org, 2007
34. J. Hopcroft, R. Motwani, and J. Ullman, Introduction to Automata Theory, Languages, and Computation, second ed. Addison Wesley, 2001