<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="article">
<front>
    <journal-meta>
        <journal-id journal-id-type="publisher-id">INFEDU</journal-id>
        <journal-title-group>
            <journal-title>Informatics in Education</journal-title>
        </journal-title-group>
        <issn pub-type="epub">1648-5831</issn>
        <issn pub-type="ppub">1648-5831</issn>
        <publisher>
            <publisher-name>VU</publisher-name>
        </publisher>
    </journal-meta>
    <article-meta>
                <article-id pub-id-type="publisher-id">INFE135</article-id>
                        <article-id pub-id-type="doi">10.15388/infedu.2008.17</article-id>
                        <article-categories>
            <subj-group subj-group-type="heading">
                <subject>Article</subject>
            </subj-group>
        </article-categories>
                        <title-group>
            <article-title>Development of Generative Learning Objects Using Feature Diagrams and Generative Techniques</article-title>
        </title-group>
                        <contrib-group>
                                        <contrib contrib-type="author">
                                                <name>
                    <surname>STUIKYS</surname>
                    <given-names>Vytautas</given-names>
                </name>
                                <email xlink:href="mailto:vystu@if.ktu.lt">vystu@if.ktu.lt</email>
                                                <xref ref-type="aff" rid="j_INFEDU_aff_000"/>
                                            </contrib>
                        <aff id="j_INFEDU_aff_000">Software Engineering Department, Kaunas University of Technology Student 50, LT-51368, Kaunas, Lithuania</aff>
                                                    <contrib contrib-type="author">
                                                <name>
                    <surname>DAMASEVICIUS</surname>
                    <given-names>Robertas</given-names>
                </name>
                                <email xlink:href="mailto:damarobe@soften.ktu.lt">damarobe@soften.ktu.lt</email>
                                                <xref ref-type="aff" rid="j_INFEDU_aff_001"/>
                                            </contrib>
                        <aff id="j_INFEDU_aff_001">Software Engineering Department, Kaunas University of Technology Student 50, LT-51368, Kaunas, Lithuania</aff>
                                </contrib-group>
                                                                                                        <volume>7</volume>
                                <issue>2</issue>
                                    <fpage>277</fpage>
                        <lpage>288</lpage>
						<pub-date pub-type="epub">
                        <day>15</day>
                                    <month>10</month>
                        <year>2008</year>
        </pub-date>
                                                        <abstract>
                        <p>Learning Objects (LOs) play a key role for supporting eLearning. In general, however, the development of LOs remains a vague issue, because there is still no clearly defined and widely adopted LO specification and development methodology. We combined two technological paradigms (feature diagrams (FDs) and generative techniques) into a coherent methodology to enhance reusability and productivity in the development of LOs. FDs are used for knowledge representation, modelling variability of the LO content and relationships between its features, and as a high-level specification for generative reuse. The paper describes the specification of LOs using FDs and some design principles to design generative LOs.</p>
                    </abstract>
                <kwd-group>
            <label>Keywords</label>
                        <kwd>generative learning object</kwd>
                        <kwd>feature diagram</kwd>
                        <kwd>variability</kwd>
                        <kwd>learning object design</kwd>
                    </kwd-group>
    </article-meta>
</front>
</article>
