ANALYSIS OF GRANULARITY WITHIN GENERATIVE LEARNING OBJECTS TO SUPPORT REUSABILITY
Journal Title: VADYBA - Year 2009, Vol 14, Issue 1
Abstract
Reusability of the learning objects (LOs) and its usefulness is the main engine for the LOs theory development in the e-learning domain. We discuss the granularity problems which are directly related with LO reusability in the context of using generative learning objects (GLOs). The main problem is to select an appropriate LO granularity degree without loosing the possibilities of LOs reusability. Naturally, the smaller the LO and the more unrelated it is to a specific context the more reusable it is in various contexts. However, decomposing LO to separate elements and eliminating the context we loose the LO pedagogic value, i.e. such LOs become non-efficient with respect to the learner. Therefore, to solve the problem, we suggest creating GLOs combining two technological paradigms: feature diagrams (FDs) for GLO specification in the early development phase and generative techniques for GLO implementation. The chosen paradigms ensure the evaluation of the possibilities of reusability in the early GLO development phase (it means, we have a possibility to evaluate the efficiency of the composed GLO) and the generative reuse. GLO enables the user to select the requested parameters from the meta-interface on which a specific LO item, meeting the requirements of the user, is generated. By specifying with GLO feature diagrams we may foresee possible GLO contexts, filling GLOs with versatile information of a particular field. Thus the GLO becomes pedagogically efficient, adaptive and its granularity degree does not restrict the possibilities of reusability. Therefore, we may draw a conclusion that composing a GLO we automatically partially solve the existing problem as the GLO granularity does not restrict the possibilities of reusability. However, we must know how to evaluate the GLO granularity degree because while describing the GLO by means of meta-data it is necessary to indicate the aggregation level. To solve the problem we suggest using a formal graph-based model which not only enables the creation of learning scenarios from the generated LO items but also allows the evaluation of the granularity degree.
Authors and Affiliations
Ilona Brauklytė, Vytautas Štuikys, Jurij Tekutov
Keywords
Related Articles
- EP ID EP459268
- DOI -
- Views 59
- Downloads 0
DEVELOPMENT OF AN INTELLIGENT ECO-SOCIAL ENVIRONMENT FOR ASSISTED LIVING
An approach is proposed for development of an intelligent eco-social environment which may be implemented both in a high education institution and in the stationary as well as portable living houses In case of developmen...
EKONOMINIŲ SVYRAVIMŲ LOGISTINĖ ANALIZĖ
Šiandieninė klasikinė ekonominė teorija – tai augimu grįsta teorija, o jos pagrindu veikianti pasaulinė ekonominė sistema – augimo teorijomis remta sistema. Žiūrint iš istorinių perspektyvų, ši sistema yra logiška ir pag...
BŪSIMŲJŲ TEISĖSAUGOS PAREIGŪNŲ MOKOMOJI PRAKTIKA EDUKACINIS ASPEKTAS
Straipsnyje siekiama išryškinti mokomųjų praktikų edukacinį aspektą rengiant policijos pareigūnus Mykolo Romerio universiteto Viešojo saugumo fakultete. Straipsnyje nagrinėjama mokomosios praktikos esmė, siekiai ir verti...
INTERNATIONAL BUSINESS NEGOTIATIONS: INNOVATION, NEGOTIATION TEAM, PREPARATION
Negotiations communication has created new challenges, as business becomes global, and the distance between the two parties do not allow negotiate full-scale - to use all negotiating powers remotely. The Innovation use c...
LIETUVOS KREDITO UNIJŲ VEIKLOS IR MAKROEKONOMINIŲ RODIKLIŲ TARPUSAVIO PRIKLAUSOMYBĖS TYRIMAS
Siekiant identifikuoti kredito unijų veiklos rodiklių ir makroekonominių rodiklių tarpusavio priklausomybę Lietuvoje, atlikta duomenų koreliacinė analizė. Tiriamoji imti - 76 Lietuvoje veikiančių kredito unijų veiklos ro...