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July 2006 Volume 9 Number 3 - CiteSeerX

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Suhonen, J., & Sutinen, E. (<strong>2006</strong>). FODEM: developing digital learning environments in widely dispersed learning<br />

communities. Educational Technology & Society, 9 (3), 43-55.<br />

FODEM: developing digital learning environments in widely dispersed<br />

learning communities<br />

Jarkko Suhonen and Erkki Sutinen<br />

Department of Computer Science, University of Joensuu, Finland, P.O.BOX 111, FI-80101 Joensuu, Finland<br />

jarkko.suhonen@cs.joensuu.fi<br />

erkki.sutinen@cs.joensuu.fi<br />

ABSTRACT<br />

FODEM (FOrmative DEvelopment Method) is a design method for developing digital learning<br />

environments for widely dispersed learning communities. These are communities in which the geographical<br />

distribution and density of learners is low when compared to the kind of learning communities in which<br />

there is a high distribution and density of learners (such as those that exist in urban areas where courses are<br />

developed and taken by hundreds or thousands of learners who are simultaneously present in the area).<br />

Since only limited resources can be allocated for the design of a digital learning environment for widely<br />

dispersed learning communities, it is necessary to use what limited funds are available to obtain valid<br />

feedback from stakeholders and to utilize such feedback in an optimal way. In terms of the FODEM model,<br />

the design process consists of asynchronous development threads with three interrelated components: (1)<br />

needs analysis, (2) implementation, and (3) formative evaluation. In needs analysis, both theory and<br />

practice are used to define specifications for the environment. In implementation, fast prototyping in<br />

authentic learning settings is emphasized. Finally, formative evaluation is used to evaluate the use of the<br />

environment within the thread. FODEM has been applied to develop ViSCoS (Virtual Studies of Computer<br />

Science) online studies and LEAP (LEArning Process companion) digital learning too in the rural regions<br />

of Finland where the population is geographically widely dispersedly.<br />

Keywords<br />

Design Methods, Digital Learning Environments, Online Learning, Formative Evaluation<br />

Introduction<br />

Digital learning environments (DLEs) are technical solutions for supporting learning, teaching and studying<br />

activities (Suhonen, 2005). A digital learning environment can be educational software, a digital learning tool, an<br />

online study program or a learning resource. A digital learning environment may thus consist of a combination<br />

of different technical solutions. A DLE may thus be used as the basis for an e-learning program (Anohina, 2005).<br />

The development of effective DLEs is not an easy task. The challenge when developing DLEs for us to use<br />

technology ingeniously and creatively to solve problems and meet the needs that arise in various technological,<br />

educational and cultural contexts (Kähkönen et al., 2003). The best design methods are those that help designers<br />

to develop innovative and effective solutions by clearly depicting the most important procedures and aspects of<br />

the development process (Design-Based Research Collective, 2003).<br />

A widely dispersed learning community refers to a student population that is thinly distributed over a relatively<br />

large geographical region or throughout a long period of time. Since widely dispersed learning communities like<br />

this are restricted by cultural, geographical or temporal factors, they tend to be relatively small in number. A<br />

widely dispersed learning community might, for instance, consist of 30 students who live in an area with a radius<br />

of 200 kilometers and who are learning Java programming. Such characteristics have two consequences: firstly,<br />

a thinly distributed community needs outstandingly accessible DLEs because the students live too far away from<br />

one another to offer or receive assistance, and, secondly, not even the sum of fees collected from such a small<br />

number of students can finance excellent DLEs of the kind we are contemplating. Such difficulties have given<br />

rise to in poorly designed ad hoc DLEs. Table 1 presents typical differences between widely dispersed and dense<br />

learning communities. The United Kingdom Open University (UKOU) is an example of a dense learning<br />

community where the student numbers are reasonably high. For instance, the UKOU offers a full range of<br />

degrees and it has over 200,000 students. According to Castro et al. (2001) and Bork and Gunnarsdottir (2001),<br />

the UKOU has a full-scale preparation system for the courses. Several years and millions of euros are invested to<br />

make high quality learning products to be used over several years. The evaluations and course improvements are<br />

often conducted to the final version of a DLE.<br />

This paper explains how we applied a FODEM (FOrmative DEvelopment Method) to create effective DLEs for<br />

the Finnish context which is well known for its widely dispersed learning communities. Apart from meeting the<br />

needs of a widely dispersed learning community, FODEM has to prove itself as a practicable DLE design<br />

method. Whatever method is used, it has to be responsive to the diversity of learners’ needs and situations, to<br />

ISSN 1436-4522 (online) and 1176-3647 (print). © International Forum of Educational Technology & Society (IFETS). The authors and the forum jointly retain the<br />

copyright of the articles. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies<br />

are not made or distributed for profit or commercial advantage and that copies bear the full citation on the first page. Copyrights for components of this work owned by<br />

others than IFETS must be honoured. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior<br />

specific permission and/or a fee. Request permissions from the editors at kinshuk@ieee.org.<br />

43

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