Electronic Issue "Scientific Research"

ISSN: 1312-7535
Title One Approach for Modeling of Adaptive Scenarios in E-learning Environments
Authors Georgi Tuparov, PhD Daniela Tuparova, PhD

Abstract

The e-learning technologies are in the process of continued development. Now day the strong expectations that high level technological tools will increase the quality of any e-learning course often follow to an underestimation of the educational objectives being set. According to our experience the crucial question is not "What technological tools are to be used during the development process of e-learning courses?" The core problem is "How to design and plan an e-learning course that ensures the achievement of the educational objectives?" In this way the modern e-learning environment has to pass several requirements: • to offer the most recent technologies • to ensure interoperability and reusability of learning materials • to offer adequate tools to measure the achievement of educational objectives by the learner. • to offer different leaning paths through the learning materials, depending of student's learning style and progress in achievement of the learning objectives, • to possess high level of usability The last two requirements in fact are basic characteristics of the adaptive hypermedia educational systems described in [1] The focus of this paper is a conceptual model for development of adaptive learning scenarios in e-learning environment. Section one deals with relevant studies in area of adaptive systems and with the overview of the possibilities for design of adaptive learning scenarios in some popular open source Learning Content Management Systems (LCMS). The pedagogical theories relevant to the development of e-learning adaptive scenarios are presented in section 2. Section three stresses on the modeling of the adaptive learning scenarios, with strong respect of the achieved learning objectives by the student.


References

1. Brusilowski P., Adaptive hypermedia, User Modeling and User- Adapted Interaction 11, Kluver Academic Publishers, 87-110, 2001 2. Crowder N. A, Intrinsic vs Extrinsic Programming, In Coulson, J. E. (Ed.), Programmed Learning and Computer-Based Instruction, John Wiley, N. Y., 1962. 3. Moreno F., M., Moreno, Using Bayesian Networks in the Global E-larning process, EUNIS 2005 Manchester http://www.mc.manchester.ac.uk/eunis2005/medialibrary/papers/paper_130.pdf 4. Scinner, B., The Science of learning and the art of teaching, Harward Educational Review, 1954, vol 24, pp 86-97 5. Vassileva J., P Brusilovsky, Course sequencing techniques for large-scale web-based education, International Journal of Continuing Engineering Education, 13, Nos.1/2, 2003 6. moodle.org 7. www.atutor.ca 8. www.ilias.de 9. Андреев М,. Дидактика, Народна просвета, София, 1981 10. Петров П., М. Атанасова, Образователни технологии и стратегии на учене, Веда Словена, София, 2001


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