No. 2 (8)/2014
- Słowo wstępne Agnieszka Landowska
- Computerization and automation of the educational systems at the beginning of the XXI century Bogdan Galwas
- Application of databases to knowledge representation and automation of e-learning processes Lech Banachowski, Elżbieta Mrówka-Matejewska, Jerzy Paweł Nowacki
- The emotional assesment of a gamificated text Maciej Słomczyński, Dorota Sidor
- E-technologies in education and therapy of autistic children in Poland Agnieszka Landowska, Agata Kołakowska, Anna Anzulewicz, Paweł Jarmołkowicz, Joanna Rewera
- Analysis of the properties, functionalities and ergonomics of modern tools dedicated to rapid e-learning development Barbara Dębska, Lucjan Dobrowolski, Karol Hęclik
- E-learning in Humanities – Methodology of the Course „The Sixties: The Beatles and Their Time” Dariusz Krawczyk
Reviews and reports
- Jak egzaminować w dobie e-learningu? Ryszard Tadeusiewicz
- Report from the EUNIS 2014 Congress June 11–13, Umeå University (Sweden) Anna Pacholak
- Unlocking the Technology-Mediated Learning Process: Insights and Articulating Actions for an Institutional Approach Rogerio Roth
- I Did This Fiona Leteney
- Stopka redakcyjna Agnieszka Landowska
Application of databases to knowledge representation and automation of e-learning processes
Building intelligent computer programs supporting learning requires selection of an appropriate representation for knowledge and storing it in a database. Similarly, intelligent information retrieval and knowledge presentation systems require use of databases. The paper has twofold aims. The first aim is verify to what degree simple, low-cost methods related to introducing into a database of the whole e-textbook partitioned into fragments can help in building electronic tutors supporting student learning. The second aim is to identify basic data model components enabling extraction of knowledge contained in e-textbooks such as knowledge items, topics and fragments of e-textbook. Division of e-textbook into fragments is to enable automatic generation of:
- Questions and multiple-choice assessments verifying whether students have mastered the course material.
- Materials supporting repetition, refreshing and retention of student knowledge including presentations and summaries of concepts involved such as tables, diagrams, indexes and glossaries.
- Different versions of e-textbooks.
The paper starts with investigation of data models applied in such systems as Wikimedia, Semantic Web and Aura. Next, database representation of the content of one of the e-textbooks used at the Polish-Japanese Academy of Information Technology is investigated and its application to the automation of e-learning processes is considered. A prototype application embodying some features of e-tutor is presented.
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