LeadFlow4LD: Learning and Data Flow Composition-Based Solution for Learning Design in CSCL

Authors:
Luis Palomino-Ramírez;Miguel L. Bote-Lorenzo;Juan I. Asensio-Pérez;Yannis A. Dimitriadis
Affiliations:
School of Telecommunication Engineering, University of Valladolid, Valladolid, Spain 47011;School of Telecommunication Engineering, University of Valladolid, Valladolid, Spain 47011;School of Telecommunication Engineering, University of Valladolid, Valladolid, Spain 47011;School of Telecommunication Engineering, University of Valladolid, Valladolid, Spain 47011
Venue:
Groupware: Design, Implementation, and Use
Year:
2009

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Abstract

IMS-LD is the de facto standard for learning design (LD) specification which typically comprises an activity flow and a data flow. Nevertheless, the specification of the data flow between tools is an open issue in IMS-LD, especially in collaborative learning. In such case, handling shared data derived from individual and collaborative tools is error-prone for learners who suffer an extra cognitive load. Additionally, problems in the collaborative data flow specification affect the reusability of the whole learning design. In this paper, we present LeadFlow4LD, a solution of specification and enactment for LD in CSCL in order to address the aforementioned issues in an interoperable and standard way. Such a solution is based on approaches for the composition of the activity flow specified in IMS-LD and the data flow specified in a standard workflow language, such as BPEL. An architecture and a prototype for validating the propose solution through a case study based on a significant CSCL situation are also presented.