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Evaluation of Quality of Learning Scenarios and Their<br />

Suitability to Particular Learners’ Profiles<br />

Eugenijus Kurilovas 1, 2, 3 , Inga Zilinskiene 2 and Natalija Ignatova 4<br />

1<br />

Centre of Information Technologies in Education, Vilnius, Lithuania<br />

2<br />

Vilnius University Institute of Mathematics and Informatics, Lithuania<br />

3<br />

Vilnius Gediminas Technical University, Lithuania<br />

4<br />

Vilnius Pedagogical University, Lithuania<br />

eugenijus.kurilovas@itc.smm.lt<br />

inga.zilinskiene@gmail.com<br />

natalija.ignatova@itc.smm.lt<br />

Abstract: The aim of the paper is to investigate and present a comprehensive scientific model and several<br />

methods suitable for the expert evaluation of quality of <strong>learning</strong> scenarios. A special attention is paid to their<br />

suitability to particular learner groups (i.e., profiles). The solution of <strong>learning</strong> scenarios quality evaluation and<br />

optimisation problems could help educational institutions to select suitable <strong>learning</strong> scenarios for the particular<br />

learner profiles. The research results will be implemented in iTEC – a four-year, pan-European research and<br />

development project focused on the design of the future classroom funded by EC 7th Framework Programme.<br />

The main objectives of iTEC are to develop and refine a range of teaching and <strong>learning</strong> scenarios for the future<br />

classroom, to develop decision support criteria that facilitate the selection of scenarios that can be mainstreamed<br />

and taken to scale; and to carry out large-scale pilots in up to 1,000 classrooms in at least 12 European countries<br />

exploring both the integration of technologies and how these impact on teaching and <strong>learning</strong> practices.<br />

Suitability of several iTEC scenarios to particular learner groups is analysed in the paper. A number of multiple<br />

criteria decision analysis principles are applied to create a comprehensive quality model (criteria tree) for<br />

evaluating <strong>learning</strong> scenarios. Several optimisation methods are explored to optimise <strong>learning</strong> scenarios in<br />

conformity with particular learner’s profile. Several practical examples of iTEC <strong>learning</strong> scenarios have been<br />

evaluated against the proposed model and methods. The research results have shown that both Analytic<br />

Hierarchy Process (AHP) method to establish the weights of quality criteria and several fuzzy optimisation<br />

methods are suitable to solve <strong>learning</strong> scenarios’ multiple criteria evaluation and optimisation tasks for particular<br />

learner profiles.<br />

Keywords: <strong>learning</strong> scenarios, evaluation of quality, multiple criteria decision analysis, learner profile,<br />

optimisation methods, Analytic Hierarchy Process (AHP)<br />

1. Introduction: Evaluation of <strong>learning</strong> scenarios in iTEC project<br />

The aim of the paper is to investigate, propose, and demonstrate examples of practical application of<br />

a model and methods suitable for the expert evaluation of quality of <strong>learning</strong> scenarios (LS). A special<br />

attention is paid to LS suitability to particular learner groups (i.e., profiles).<br />

1.1 What is <strong>learning</strong> scenario?<br />

Unit of Learning (also known as ‘Learning Scenario’ (LS) – this term is commonly used in European e-<br />

Learning community, e.g., in iTEC project) is referred here as an aggregation of <strong>learning</strong> activities that<br />

take place in particular virtual <strong>learning</strong> environments (VLEs) using particular <strong>learning</strong> objects (LOs).<br />

This notion is based on Koper and Tattersall (2005) work and IMS Learning Design (IMS LD, 2003)<br />

specification. Quoting Koper and Tattersall (2005), “a 'Unit of Learning' refers to a complete, selfcontained<br />

unit of education or training, such as a course, a module, a lesson, etc”. IMS LD (2003)<br />

specification’s conceptual vocabulary clarifies that a 'unit of <strong>learning</strong>' is an abstract term used to refer<br />

to any delimited piece of education or training. It is noted that a 'unit of <strong>learning</strong>' represents more than<br />

just a collection of ordered resources to learn, it includes a variety of prescribed activities (problem<br />

solving activities, search activities, discussion activities, peer assessment activities, etc.),<br />

assessments, services and support facilities provided by teachers, trainers and other staff members.<br />

A <strong>learning</strong> design as an integral part of any unit of <strong>learning</strong> is a description of a method enabling<br />

learners to attain certain <strong>learning</strong> objectives by performing certain <strong>learning</strong> activities (LA) in a certain<br />

order in the context of a certain <strong>learning</strong> environment. According to IMS LD (2003), activities are one<br />

of the core structural elements of the '<strong>learning</strong> workflow' model for <strong>learning</strong> design. They form the link<br />

between the roles and the <strong>learning</strong> objects and services in the <strong>learning</strong> environment. The activities<br />

describe a role they have to undertake within a specified environment composed of <strong>learning</strong> objects<br />

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