Recent research on the learning process has shown that students tend to learn in different ways and manners, and that they prefer to use different teaching resources. Researchers in the education field agree on the fact that learning materials shouldn't just reflect the teacher's teaching style, but should be designed and adapted to all kind of personalities and psychological profiles. The availability of information technology and multiple forms of electronic media open new perspectives for adapting and personalizing the learning process. In this research, we are interested in adaptive pedagogy and personalized teaching methods. Our goal is combining electronic media and teaching strategies according to student profiles. The underlying problems are: How to take into account the student personality and psychological profile to develop an adapted pedagogy? How to use and take advantage of new available emedia and IT based tools? How to combine in a course or in a learning system adapted pedagogy with adequate e-media? We have based our work on the Felder and Soloman's learning styles instrument. First, we explore some basic ideas concerning the matching of e-media and learning styles in the context of an experimental e-learning system. Second, we present a general framework for combining and adapting teaching strategies, learning styles and electronic media. This framework has been constructed with the help of an expert panel and using the Delphi approach. Finally, two case studies including surveys and statistical analysis have been conducted to validate the framework and generalize its applicability. This works contributes to a better understanding of e-media usage in education, and increases our knowledge concerning the interaction between students psychological profile and learning systems.
| Identifer | oai:union.ndltd.org:CCSD/oai:tel.archives-ouvertes.fr:tel-01048664 |
| Date | 10 December 2009 |
| Creators | Franzoni Velázquez, Ana Lidia |
| Publisher | Institut National des Télécommunications |
| Source Sets | CCSD theses-EN-ligne, France |
| Language | English |
| Detected Language | English |
| Type | PhD thesis |
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