International
Journal of Computing
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List
of Accepted Papers
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1. Detecting Differences in "Meaningful
Learning" Behaviours and Their Evolution: A Data Driven Approach Silvia Rita Viola, Alberto Giretti and Tommaso Leo
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Abstract In this paper we investigate two different ways in which
learners construct personal semantic maps, expressed by navigational
behaviours. The first of them concerns the usage of hypermedia structures
non-sequentially, i.e. without following a strict order within two nodes; the
second one concerns the usage of glossaries and concepts maps. A data driven
approach, described in the paper, is used. The dataset is made by 254
sessions realized by learners interacting with the WINDS Advanced Learning
Environment. The results show that the differences in two behaviours are statistically significant ;that the
usage of maps and glossaries is less frequent than the usage of hypertextual
structure; that the usage of maps and
glossaries is clustered above all around a single course; that when different from zero, the two
behaviours have statistically significant opposite trends. We can conclude
that the presence of two different behaviours of non sequential navigation in
Electronic Learning Environments is likely, and that the corresponding
strategies are likely to be learned. The results and the implications are
analysed and discussed. |
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[Download Full Version: PDF – (Size 339 KB)] |
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2. Web Services Based Authentication System for
e-Learning Akram Alkouz and Samir A. El-Seoud –
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Abstract In Distance Learning end users need to access different
e-learning platforms daily to gain the knowledge. E-learning platforms
implement authentication system to handle the authentication and authorization
processes. As the number of directory stores grows the development overhead
of user’s authentication process in e-learning platforms against those
directories increases. Also as the number of e-learning platforms grows, the
number of user’s IDs and passwords users have to memorize grows as
well. So users make passwords not strong enough to ease memorization, and
write passwords in clear text in insecure places, which compromise the
security. An outline of various aspects of design and implementation of web
services based authentication system for e-learning platforms (WSAS) is
presented in this paper. The architecture provides e-learning platforms users
with a single sign-on solution for the problem of memorizing many user IDs
and passwords, provides organizations with a centralized, simple, and
efficient directory stores access mechanism to simplify the process of
integrating multiple directory stores, and provides the e-learning platforms
developers with a standard solution to minimize the development overhead of the authentication process against
multiple directory stores, the presented prototype architecture designed based on the existing web services
technology, so that clients need not be modified, and servers may have a
little modifications. |
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[Download Full Version:
PDF – (Size 201 KB)] |
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3.
An Inflected –Sensitive Letter and Word Prediction System Carlo
Aliprandi, Nicola Carmignani and Paolo Mancarella –
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Abstract We present FastType, an innovative system for word and
letter prediction for an inflected language, namely the Italian language. The
system is based on combined statistical and lexical methods and it uses robust
language resources. Word prediction is particularly useful to minimise
keystrokes for users with special needs, and to reduce misspellings for users
having limited Italian proficiency. Word prediction can be effectively used
in language learning, by suggesting correct and well-formed words to
non-native users. This is significant, and particularly difficult to cope
with, for inflected languages such as Italian, where the correct word form
depends on the context. After describing the system, we evaluate its
performances and, besides the high
Keystrokes Saving, we show that FastType outclasses typical word prediction
limitations getting outstanding results even over a very large dictionary of
words. |
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[Download Full Version:
PDF – (Size – 543 KB)] |
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4. A DOM-Based Approach of Storage and Retrieval of XML
Documents Using Relational Database Hossam S. El-Sofany, Samir A. El-Seoud, F.F.M. Ghaleb, S.
S. Daoud, Jihad
M. Al Ja'am and Ahamad M. Hasnah – |
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Abstract This paper describes a novel approach of storage and
retrieval of XML documents using relational databases. In this approach, an
XML document is decomposed into nodes based on its tree structure, and stored
into relational tables according to the nodes types. Our approach enables us
to store XML documents using a fixed relational schema without any
information about XML schema, and DTD. For the processing of XML documents,
we propose two algorithms denoted by XR and RX, where the first one is for
converting XML data to relational data, and the second one for extracting
data from a database and insert it into XML document. The application does
not impose any extension of relational databases for storage and retrieval of
XML documents. We show the effectiveness of this approach through several
experiments using different XML documents. |
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[Download Full Version: PDF – (Size
– 328 KB)] |
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5. Mobile eLearning Content on Demand Michael
Engelhardt, Arne Hildebrand, Dagmar Lange, Thomas
Schmidt and Mathias Werlitz –
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Abstract Advanced mobile devices suitable for rich media content
reception escort a strong majority of the people. Mobile information
technologies today are pervasive and prevalent across most generations and
countries and augur well for knowledge reception and learning processes
within everyday life. In ubiquitously advising life long learning
opportunities the paradigm of mobile users questions our common approaches of
implementing teaching and learning: Mobile use patterns are short and fast,
they frequently interrupt established contexts while nomadic users commonly are
on edge with multiple activities taking place in parallel. Handheld devices
in addition admit specific, non standard designs and are considered personal
companions. In this paper we present an approach to dynamic, "on
demand" production of content, which is personalized and specifically
adapted to dedicated mobile devices. Starting from IEEE LOM eLearning
Objects, i.e., small standardized self consistent knowledge entities; we
process formats, appearance and contextual structures to transform re-usable content
objects into the desired target context. Beside Web data for mobile browsers
we will detail out an example of feeding the specific iPod potentials,
i.e., its navigation, and a handheld Sony gaming station. All implementations
are based on the educational content management system hylOs, which we
will briefly introduce. Enabled through an advanced authoring toolset, hylOs
allows defining contextual hyperlink overlays, as well as instructional
overlays of a given eLearning object mesh. Based on a powerful Ontological
Evaluation Layer, additional meaningful overlay relations between knowledge
objects are derived autonomously within hylOs. These resulting
semantic nets form a basis for perpetuating contexts, when mobile users
re–access interrupted learning sessions. |
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[Download Full Version: PDF – (Size
– 656 KB)] |
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Last
updated: December 18 2007 Copyright ©: The IJCIS Editors |
