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|
Identifier |
000361631 |
Title |
Classmate : classroom multifunction augmented technology environment |
Alternative Title |
Πλατφόρμα ενσωμάτωσης και υποστήριξης μαθητο-κεντρικών εφαρμογών σε περιβάλλοντα διάχυτης νοημοσύνης |
Author
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Λεωνίδης, Αστέριος Δ
|
Thesis advisor
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Στεφανίδης, Κωνσταντίνος
|
Abstract |
The evolution of Information Technology (IT) for more than three decades has drastically
affected the way users interact with personal computers and increased their expectations
from technology. Towards this objective, researchers developed novel concepts to provide
content-rich invisible computing applications, eventually leading to the emergence of the
Ambient Intelligence paradigm. Ambient Intelligence is a vision of the future which offers
great opportunities to enrich everyday activities (e.g., on the road, at home, at work, etc.).
Considering that ICT (Information and Communication Technologies) has been proven to
play an important role in education, this thesis investigates the promising potentials of AmI
in the education domain.
The notion of Smart Classroom has been around already for a few years. In a Smart
Classroom, conventional classroom activities are enhanced with the use of pervasive and
mobile computing. However, the majority of the current approaches towards the realization
of the Smart Classroom addresses various issues unilaterally either from the technological or
the educational perspective, neglecting the main objective of supporting the student during
the learning process. The ClassMATE system reported in this thesis aims to provide
numerous essential educational-related facilities both for the student and for the teacher.
ClassMATE, in collaboration with the PUPIL system, incarnates a functional prototype of the
envisioned Ambient Intelligence Classroom (in the context of ICS-FORTH AmI Programme).
ClassMATE constitutes the backbone infrastructure of the Ambient Intelligence Classroom
system, aiming to provide “intelligent” facilities to enhance the educational process. These
facilities include: (i) a context-aware classroom orchestration process based on information
gathered through ambient environment monitoring, (ii) a mechanism to address
heterogeneous interoperability of AmI services and devices, (iii) a synchronous and
asynchronous communication scheme, (iv) a user profiling and (v) a content classification
mechanism in order to deliver personalized content based on the context of use and the
actual needs of every individual learner.
The thesis discusses the overall ClassMATE architecture and presents in details the
implementation of the above mentioned mechanisms.
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Language |
English |
Subject |
Ambient intelligence |
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Smart classroom |
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Student help personalisation |
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Διάχυτη νοημοσύνη |
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Εξυπνη τάξη |
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Προσωποποίηση βοήθειας μαθητή |
Issue date |
2010-11-19 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
|
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Type of Work--Post-graduate theses
|
Permanent Link |
https://elocus.lib.uoc.gr//dlib/d/3/6/metadata-dlib-d19ded9b6c0938f4723672b56b78ebe2_1288598057.tkl
|
Views |
642 |