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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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MetaLinks: Authoring and Affordances for Conceptual and Narrative Flow in Adaptive Hyperbooks
MetaLinks, an authoring tool and web server for adaptive hyperbooks, is described. MetaLinks hyperbooks provide textbook-like content in a flexible manner that supports opportunistic processes of active reading and learning. Through adaptive methods a single on-line artifact can address the diverse needs of a variety of user goals and backgrounds. The system is designed to support inquiry, exploratory, or curiosity-driven learning in richly interconnected material and to ameliorate a number of u
Author(s): Murray Tom

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Adaptive and Intelligent Web-based Educational Systems
daptive and intelligent Web-based educational systems (AIWBES) provide an alternative to the traditional “just-put-it-on-the-Web” approach in the development of Web-based educational courseware (Brusilovsky & Miller, 2001). AIWBES attempt to be more adaptive by building a model of the goals, preferences and knowledge of each individual student and using this model throughout the interaction with the student in order to adapt to the needs of that student. They also attempt to be more intelligen
Author(s): Brusilovsky Peter,Peylo Christoph

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MArCo: Building an Artificial Conflict Mediator to Support Group Planning Interactions
The emphasis on building co-operative/collaborative environments has brought out the matter of group interactions. This, in its turn, has highlighted the issue of conflicts, inherent to group problem solving. If well employed, conflicts can act as triggers of cognitive changes, and thus help to refine the group's solution to the task. In this paper, we present a computational framework for detecting and mediating Meta-Cognitive conflicts. The theoretical framework presented here enables a comput
Author(s): Azevedo Tedesco Patricia

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Going Beyond the Problem Given: How Human Tutors Use Post-Solution Discussions to Support Transfer
Two studies investigated the role and effectiveness of post-solution, reflective dialogues in physics tutorials. The first study investigated the instructional roles of post-solution discussions, their relationship to problem-solving discussions, and features that predict learning. Seven tutors individually guided 15 students as they worked on problems in the Andes physics tutoring system. Tutors adapted the post-solution discussions to students' ability levels and their performance on the curre
Author(s): Katz Sandra,Allbritton David,Connelly John

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Care - Making the Affective Leap: More Than a Concerned Interest in a Learner's Cognitive Abilities
This commentary addresses the issues of 'care' in intelligent learning systems more precisely, elaborating and extending the definition to include recent research from neuroscience and education on the affective aspects of learning. It reflects on the association of profound empathy with care and in what ways the systems described in this issue illustrate features of profound empathy. It concludes that though they all include some features of profound empathy they all lack an elaborate definitio
Author(s): Cooper Bridget

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Confronting ideas in collaborative scientific discovery learning
This study investigated how collaborative knowledge construction within a scientific discovery (or inquiry)learning environment can be assisted with tools that aim to support students’ proposition generation and testing processes. Sixty-six fourth year pre-university education students participated in a kinematics learning task. The instructional goal of the learning activity was to develop students’ understanding of one dimensional kinematics. All students completed a proposition test in whic
Author(s): Gijlers Hannie,de Jong Ton

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A Collaborative Case Study System For Distance Learning
Distance Learning from Case Studies involves enabling collaboration between two or more learners at a distance on a case study activity. In this paper we present an empirical qualitative study that simulates a learning scenario in which a pair of subjects at a distance are provided with a collaborative learning environment and required to collaborate in order to solve a case study. The results of this empirical qualitative study have implications that informed the design of a system: LeCS (Learn
Author(s): Rosatelli Marta C.,Self John

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An Algebra Subsystem for Diagnosing Students' Input in a Physics Tutoring System
To help a student in an introductory physics course do quantitative homework problems, an intelligent tutoring system must determine information of an algebraic nature. This paper describes a subsystem which resolves such questions for Andes2. The capabilities of the subsystem would be useful for any ITS which deals with problems involving complex systems of equations. This subsystem is capable of 1) solving the systems of equations at the level of introductory physics problems, 2) checking the
Author(s): Shapiro Joel A.

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The Logic-ITA in the classroom: a medium scale experiment
This paper presents the experiment and consequent evaluation of introducing the Logic-ITA in a second year tertiary undergraduate class. The Logic-ITA is a web-based Intelligent Teaching Assistant system, aimed at alleviating some of the problems caused by large classes or distance learning. Its domain of application is the construction of formal proofs in logic. The system acts as an intermediary between teacher and students: on one hand, it provides students with an environment to practice for
Author(s): Yacef Kalina

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Minimalist instruction for learning to search the World Wide Web.
This study examined the efficacy of minimalist instruction to develop self-regulatory skills involved in Web searching. Two versions of minimalist self-regulatory skill instruction were compared to a control group that was merely taught procedural skills to operate the search engine. Acquired skills were tested on Web search tasks and search tasks in an online library catalogue. Self-regulatory skill instruction was found to increase practice time by 25%. However, it did not enhance search perfo
Author(s): Lazonder Ard

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Scientific discovery learning with computer simulations of conceptual domains
Scientific discovery learning is a highly self-directed and constructivistic form of learning. A computer simulation is a type of computer-based environment that is very suited for discovery learning, the main task of the learner being to infer, through experimentation, characteristics of the model underlying the simulation. In this article we give a review of the observed effectiveness and efficiency of discovery learning in simulation environments together with problems that learners may encou
Author(s): de Jong Ton,Van Joolingen Wouter

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Analysing experimental design tasks in scientific labwork
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Author(s): Wajeman Claire,Girault Isabelle,d'Ham Cedric,Ney M

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Logiciels de construction de cartes de connaissances: Des outils pour apprendre
This article examines the possible uses of concept mapping software in a university or continuing education context. Concept mapping applications allow the student to graphically represent compiled information as a network of nodes and vectors. The article looks at several applications that may be used to make different kinds of maps, but mainly reviews teaching strategies that incorporate these tools as well as providing a number of planning pointers. It also summarizes the main advantages and
Author(s): Pudelko Béatrice,Basque Josianne

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The influence of representational format on learner-generated domain representations and mathematica
The purpose of this study was (a) to assess the effects of learner-generated domain representations on understanding combinatorics and probability theory and (b) to investigate the effects of the format (graphical, arithmetical, or textual) in which learners create their domain representation. A pretest-posttest design was applied in which four conditions were compared: three experimental conditions in which learners constructed a personal representation of the domain in a graphical, arithmetica
Author(s): Kolloffel Bas,Eysink Tessa,de Jong Ton

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