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Supporting Effective and Useful Web-based Distance Learning
Learners interacting in a Web-based distance learning environment produce a variety of information elements during their participation; these information elements usually have a complex structure and semantics, which makes it rather difficult to find out the behavioral attitudes and profiles of the users involved. User modelling in on-line distance learning is an important research field focusing on two important aspects: describing and predicting students’ actions and intentions as well as ada
Author(s): Caballé Santi,Daradoumis Thanasis,Xhafa Fatos,Est

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Collaboration Activity Function: An interaction analysis’ tool for Computer Supported Collaborative
During the last years, an increased interest has been observed on tools analyzing collaborative interactions that could be useful for researchers, teachers, or even students. The paper presents such a tool, based on the formally defined collaborative activity function (CAF). The empirical evaluation of CAF is also presented. The evaluation is focused on teachers using CAF during and after sessions of synchronous collaborative problem solving among students.
Author(s): Fessakis George,Petrou Argyroula,Dimitracopoulou A

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Usability of virtual learning environment for learning java
It is widely stated that learning to program is very difficult in the traditional manner. To help novices learn object-oriented programming in Java more easily, we have developed the electronic Java virtual learning environment. In this paper, we discuss the usability of the learning environment and principles how to implement a usable learning environment. Considering the usability testing of the environment from the beginning stage of the development process, should improve the qualitative cha
Author(s): Fetaji Majlinda,Loskoska Suzana,Fetaji Bekim,Ebibi

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Scripting argumentation in technology enhanced learning: a proposed system architecture
Argumentative knowledge construction is an important component of critical thinking. Learners who collaboratively argue about a subject can potentially develop domain knowledge and have the opportunity to use evidence critically in order to make sense of the subject under consideration. Moreover learners have to take into account claims and evidence of each other during argumentation and in this way they develop mental models for argument construction and sequence. However, research indicates th
Author(s): Bouyias Yannis,Demetriadis Stavros,Tsoukalas Ioann

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Building re-configurable blendedlearning arrangements
E-learning can be much more than just self-paced learning. To enhance motivation and sustainability of learning, trainers or course providers usually set up target group specific arrangements of various learning conducive elements. They combine self-learning phases with synchronous or asynchronous online collaboration and cooperation, as well as with face-to-face training sessions. This mix of online and offline elements has become famous under the name of "blended learning". To put blended lear
Author(s): Thomas Ludger,Trapp Sonja

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I*teach methodology in school practice
One of the assumptions of secondary education is that students are to acquire numerous ICT-related skills. The computer has become an essential element of live, both at school and outside it. Using ICT tools students can structure their knowledge, prepare images, create banks of data and analyze it, write reports and other text documents. Electronic mail, discussion lists, forums and other online applications facilitate communication and cooperation. World Wide Web gives an easy access to immens
Author(s): Nikolova Nikolina,Miranowicz Malgorzata

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Development of an electronic course based on the i*teach methodology with the use of the ims learnin
The paper is a demonstration of the use of active methods of learning and IMS Learning design (IMS LD) specification for the development of portable and reusable electronic course. It demonstrates how Information and Communication Technologies (ICT) can enhance the process of teacher training, and how this can be used for Lifelong Competence Development of teachers. The paper shows how units of learning developed according to the IMS LD specification can integrate the contemporary active methods
Author(s): Naskinova Irina

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Enabling Students to Construct Theories of Collaborative Inquiry and Reflective Learning: Computer S
To develop lifelong learning skills, we argue that students need to learn how to learn via inquiry and understand the sociocognitive and metacognitive processes that are involved. We illustrate how software could play a central role in enabling students to develop such expertise. Our hypothesis is that sociocognitive systems, such as those needed for collaborative inquiry and reflective learning, can best be understood as a community of interacting agents, who each have expertise in accomplishin
Author(s): White Barbara Y.,Shimoda Todd A.,Frederiksen John

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Authoring Intelligent Tutoring Systems: An analysis of the state of the art
This paper consists of an in-depth summary and analysis of the research and development state of the art for intelligent tutoring system (ITS) authoring systems. A seven-part categorization of two dozen authoring systems is given, followed by a characterization of the authoring tools and the types of ITSs that are built for each category. An overview of the knowledge acquisition and authoring techniques used in these systems is given. A characterization of the design tradeoffs involved in buildi
Author(s): Murray Tom

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The LEAP Authoring Tool: Supporting complex courseware authoring through reuse, rapid prototyping, a
An important goal of current work in computer-based learning environments is to develop systems that combine the richness and effectiveness of an individually crafted intelligent tutoring system (ITS) with the generality and flexibility of a computer-assisted instruction (CAI) authoring tool. Our effort to achieve this goal is demonstrated in the Learn, Explore and Practice (LEAPsm) ITS shell and its courseware development component, The LEAP Authoring Tool (LAT). The LAT was developed for use b
Author(s): Sparks Randall,Dooley Scott,Meiskey Lori,Blumentha

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Using Case-Based Reasoning in Instructional Planning.Towards a Hybrid Self-improving Instructional P
This paper presents a new approach, based on the Case-Based Reasoning technique, which is useful to enhance Intelligent Tutoring Systems with learning abilities. Case-Based Reasoning is a recent paradigm for problem solving that has an inherent learning capability. So we integrate a Case-Based Instructional Planner within existing Intelligent Tutoring Systems (ITS) to enhance the pedagogical component with learning capabilities. In this way, the enhanced tutors combine the Case-Based Instruction
Author(s): Elorriaga Jon A.,Fernández-Castro Isabel

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Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Expl
We present a computational framework designed to improve learning from examples by supporting self-explanation ö the process of clarifying and making more complete to oneself the solution of an example. The framework is innovative in two ways. First, it represents the first attempt to provide computer support to example studying instead of problem solving. Second, it explicitly coaches a domain-general, meta-cognitive skill that many studies in cognitive science have shown to greatly improve le
Author(s): Conati Cristina,VanLehn Kurt

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Verbal Coaching During a Real-time Task
TRANSoM is a collaborative effort among university and industry researchers aimed at producing an intelligent tutoring system for training pilots of remotely operated vehicles (ROVs). ROVs are unmanned, tethered, underwater vehicles used in a range of applications such as inspection, search and salvage, and mine countermeasures. Pilots have to learn to maneuver the ROV, keeping track of its tether and its surroundings, using little more than a video camera and sonar. To minimize workload while a
Author(s): Roberts Bruce,Pioch Nicholas,Ferguson William

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An Approach to Analyzing the Role and Structure of Reflective Dialogue
Several intelligent tutoring systems contain modules that support reflection after practice exercises. However, there is very little research on reflective dialogue and its relation to dialogue during problem solving that can guide this effort. The approach to analyzing educational dialogue described in this paper was developed to address this problem. Using statistical and machine learning methods, we compared the frequency and structure of speech acts by avionics students and experts during pr
Author(s): Katz Sandra,O'Donnell Gabriel,Kay Heather

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Combining Knowledge Awareness and Information Filtering in an Open-ended Collaborative Learning Envi
Knowledge awareness (KA) has been proposed to increase collaboration opportunities in an open ended and collaborative learning environment. To encourage collaboration, an individual userâs agent called KA-Agent autonomously informs the learner about up-to-the-minute activities from other learners. For instance, a message might be ãsomeone is looking at the same knowledge that you are looking at.ä Although this message, called active KA, is very useful to create real-time collaboration, a larg
Author(s): Ogata Hiroaki,Yano Yoneo

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ActiveMath: A Generic and Adaptive Web-Based Learning Environment
ActiveMath is a generic web-based learning system that dynamically generates interactive (mathematical) courses adapted to the student's goals, preferences, capabilities, and knowledge. The content is presented in a semantic XML-based format. For each user, the appropriate content is retrieved from a knowledge base and the course is generated individually according to pedagogical rules. Then the course is presented to the user via a standard web-browser. One of the exceptional features of Active
Author(s): Melis Erica,Andres Eric,Budenbender Jochen,Frischa

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A Generic Platform for the Systematic Construction of Knowledge-based Collaborative Learning Applica
This study aims to explore the importance of efficient management of event information generated from group activity in collaborative learning practices for its further use in extracting and providing knowledge on interaction behavior. The essential issue here is how to design a platform that can be used for real, long-term, complex collaborative problem-solving situations and which enables the instructor to both analyze group interaction effectively and provide an adequate support when needed.
Author(s): Caballé Santi,Daradoumis Thanasis,Xhafa Fatos

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Bridging the Gap Between Empirical Data on Open-Ended Tutorial Interactions and Computational Models
In this paper we present an approach to using empirical data on human teacher-learner interactions to guide the development of a pedagogical agent for supporting musical composition learning. Our approach to bridging the gap between tutorial interaction analysis and computational models, intended for use in learning support systems, is a new one. We support our claim by pointing out that most of the previous work in the area of using human tutors as models has been conducted in domains that are
Author(s): Cook John

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Analysing Educational Dialogue Interaction: Towards Models that Support Learning
The motivation for this special issue on analysing dialogue interaction was provided by the one-day workshop with the same title held at AI-Ed '99 in Le Mans. From this workshop a number of common themes and issues emerged. The call for papers for this special issue was based around these themes: * valid and reliable approaches to identifying dialogue structures and features * the role of dialogue in learning as evidenced by dialogue analysis * computational models of dialogue in Intelligent Edu
Author(s): Pilkington Rachel

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ML Tutor: An Application of Machine Learning Algorithms for an Adaptive Web-based Information System
One problem that commonly faces hypertext users, particularly in educational situations, is the difficulty of identifying pages of information most relevant to their current goals or interests. In this paper, we discuss the technical feasibility and the utility of applying machine learning algorithms to generate personalised adaptation on the basis of a userÕs browsing history in hypertext, without additional input from the user. In order to investigate the viability of this approach, we develo
Author(s): Smith-Atakan A. Serengul,Blandford Ann

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