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40 | Integration of external tools with GLUE! in LAMS Integration of external tools with GLUE! in LAMS: requirements, implementation and a case study.
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@MISC{Alario-hoyos_40|,
author = {Carlos Alario-hoyos and Miguel L. Bote-lorenzo and Eduardo Gómez-sánchez and David A. Velasco and Juan I. Asensio-pérez and Guillermo Vega-gorgojo and Adolfo Ruiz-calleja},
title = {40 | Integration of external tools with GLUE! in LAMS Integration of external tools with GLUE! in LAMS: requirements, implementation and a case study.},
year = {}
}
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Abstract
LAMS is a well-known learning platform that enables the design, enactment and realization of sequenced collaborative learning activities. However, LAMS lessons are limited by a small set of built-in tools. Few works have so far tried to add new tools to LAMS, mainly due to the high development effort required. GLUE! (Group Learning Uniform Environment) is an architecture that could overcome this limitation, since it enables the integration of multiple existing external tools in multiple existing learning platforms with a low development effort. This paper discusses the requirements and decisions taken in the design and development of a GLUE! adapter for LAMS. This adapter enables a seamless integration of third-party tools, supporting also the main LAMS distinctive features, namely: the monitoring of students ’ performance, the creation of learning pathways and the sharing of learning designs. Evidences of the appropriateness of the approach have been gathered by means of a case study that includes the design and enactment of a lesson that requires third-party tools. This lesson has already been tested by the authors and will be realized by real students during this semester. Keywords: LAMS, GLUE!, integration, collaboration.
Keyphrases
external tool case study lam integration third-party tool group learning uniform environment main lam distinctive feature sequenced collaborative learning activity glue adapter lam lesson real student small set learning platform well-known learning platform seamless integration new tool built-in tool student performance low development effort high development effort
