Abstract
In traditional lecture-driven learning, material to be learned is often transmitted to students by teachers. That is, learning is passive. In active learning, students are much more actively engaged in their own learning while educators take a more guiding role. This approach is thought to promote processing of skills and knowledge to a much deeper level than passive learning. In this paper, a research using supporting materials for active e-learning in computational models and related fields is presented. The contributions of this paper are supporting active tools to improve learning and an evaluation of its use in context.
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References
Bergstrom, H.: Applications, Minimization, and Visualization of Finite State Machines. Master Thesis. Stockholm University (1998), http://www.dsv.su.se/~henrikbe/petc/
Bovet, J.: Visual Automata Simulator, a tool for simulating automata and Turing machines. University of San Francisco (2004), http://www.cs.usfca.edu/~jbovet/vas.html
Christin, N.: DFApplet, a deterministic finite automata simulator (1998), http://www.sims.berkeley.edu/~christin/dfa/
Felder, R., Silverman, L.: Learning and teaching styles in engineering education. Engineering Education 78(7), 674–681 (1988)
Hadjerrouit, S.: Learner-centered Web-based Instruction in Software Engineering. IEEE Transactions on Education 48(1), 99–104 (2005)
Hamada, M.: Web-based Tools for Active Learning in Information Theory. ACM SIGCSE 38 (2007)
Hamada, M.: Visual Tools and Examples to Support Active E-Learning and Motivation with Performance Evaluation. In: Pan, Z., Aylett, R.S., Diener, H., Jin, X., Göbel, S., Li, L. (eds.) Edutainment 2006. LNCS, vol. 3942, pp. 147–155. Springer, Heidelberg (2006)
Head, E.: ASSIST: A Simple Simulator for State Transitions. Master Thesis. State Univesity of New York at Binghamton (1998), http://www.cs.binghamton.edu/~software/
Herrmann, N.: The Creative Brain. Brain Books, Lake Lure (1990)
Java2D of Sun Microsystems, http://www.sun.com
Java Team, Buena Vista University, http://sunsite.utk.edu/winners_circle/education/EDUHM01H/applet.html
Keller, J.: Development and use of the ARCS model of motivational design. Journal of Instructional Development 10(3), 2–10 (1987)
Kolb, D.: Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall, Englewood Cliffs (1984)
Li, S., Challoo, R.: Restructuring an Electric Machinery course with Integrative approach and computer-assisted Teach Methodology. IEEE Transactions on Education 49(1), 16–28 (2006)
Masters, J., Madhyastha, T.: Educational Applets for Active Learning in Properties of Electronic Materials. IEEE Transactions on Education 48(1) (2005)
Mohri, M., Pereria, F., Riley, M.: AT&T FSM Library Software tools (2003), http://www.research.att.com/sw/tools/fsm/
Myers, Gifts Differing. Palo Alto, CA: Consulting Psychologists Press (1980)
Nelson, R., Shariful Islam, A.: Mes- A Web-based design tool for microwave engineering. IEEE Transactions on Education 49(1), 67–73 (2006)
Rodger, S.: Visual and Interactive tools. Automata Theory tools at Duke University (2006), http://www.cs.duke.edu/~rodger/tools/
Rosati, P.: The learning preferences of engineering students from two perspectives. In: Proc. Frontiers in Education, Tempe, AZ, pp. 29–32 (1998)
Soloman, B., Felder, R.: Index of Learning Style Questionnaire, http://www.engr.ncsu.edu/learningstyle/ilsweb.html
Transforming undergraduate education in science, mathematics, engineering, and technology. In: Committee on Undergraduate Science Education, Center for Science, Mathematics, and Engineering Education. National Research Council ed. Washington, DC: National Academy Press (1999)
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Hamada, M. (2008). Supporting Materials for Active e-Learning in Computational Models. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2008. ICCS 2008. Lecture Notes in Computer Science, vol 5102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69387-1_79
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DOI: https://doi.org/10.1007/978-3-540-69387-1_79
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