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Systems 2015, 3(4), 237-263; doi:10.3390/systems3040237

Supporting Student Learning in Computer Science Education via the Adaptive Learning Environment ALMA

Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, Ilissia, Athens 15784, Greece
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Academic Editors: Nguyen-Thinh Le, Jon Mason, Christian Gütl and Kiyoshi Nakabayashi
Received: 9 June 2015 / Revised: 26 September 2015 / Accepted: 30 September 2015 / Published: 12 October 2015
(This article belongs to the Special Issue Adaptive Educational Technology Systems)
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Abstract

This study presents the ALMA environment (Adaptive Learning Models from texts and Activities). ALMA supports the processes of learning and assessment via: (1) texts differing in local and global cohesion for students with low, medium, and high background knowledge; (2) activities corresponding to different levels of comprehension which prompt the student to practically implement different text-reading strategies, with the recommended activity sequence adapted to the student’s learning style; (3) an overall framework for informing, guiding, and supporting students in performing the activities; and; (4) individualized support and guidance according to student specific characteristics. ALMA also, supports students in distance learning or in blended learning in which students are submitted to face-to-face learning supported by computer technology. The adaptive techniques provided via ALMA are: (a) adaptive presentation and (b) adaptive navigation. Digital learning material, in accordance with the text comprehension model described by Kintsch, was introduced into the ALMA environment. This material can be exploited in either distance or blended learning. View Full-Text
Keywords: adaptive learning environment; background-knowledge; blended learning; distance learning; learning style; text comprehension adaptive learning environment; background-knowledge; blended learning; distance learning; learning style; text comprehension
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gasparinatou, A.; Grigoriadou, M. Supporting Student Learning in Computer Science Education via the Adaptive Learning Environment ALMA. Systems 2015, 3, 237-263.

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