This article describes the evolution and current state of the domainindependent Siette assessment environment. Siette supports different assessment methods-including classical test theory, item response theory, and computer adaptive testing-and integrates them with multidimensional student models used by intelligent educational systems. Teachers can use an authoring tool to create large item pools of different types of questions, including multiple choice, open answer, generative questions, and complex tasks. Siette can be used for formative and summative assessment and incorporates different learning elements, including scaffolding features, such as hints, feedback, and misconceptions. It includes numerous other features covering different educational needs and techniques, such as spaced repetition, collaborative testing, or pervasive learning. Siette is designed as a web-based assessment component that can be semantically integrated with intelligent systems or with large LMSs, such as Moodle. This article reviews the evolution of the Siette system, presents information on its use, and analyses this information from a broader and critical perspective on the use of intelligent systems in education.
Abstract. Most of the information of the WWW is not adaptive, rather it is dispersed and disorganized. Another difficulty is to find tools that help to create adaptive courses. SIGUE is an author tool that makes it possible to build adaptive courses using web pages that already exist. This means that if there is a lot of information on the web about the same topic the author doesn't have to design the content of a specific course, he can reuse these pages to build his own course, taking the best pages for the concepts he wants to explain. The author can also construct adaptive courses reusing previously non-adaptive ones. SIGUE provides an enhanced interface for the student, controls his interaction, and annotates the visited links in a student model.
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