Catálogo de publicaciones - libros

This study purposes an approach of computer-supported learning by teaching. The learning activities of learning by teaching a virtual character are usually involving demonstrating and tutoring. Here we combine demonstrating and tutoring into a teaching virtual apprentice activity. First, student demonstrates solving problems to the apprentice. Then student will monitor and tutor apprentice when the apprentice solves problems. We will try to explore effects of different teaching activities that are demonstrating, tutoring, and demonstrating combine with tutoring.

With the goal of providing instruction with an optimum method to achieve the target given in the learning process, PID control theory was applied and an assessment was made of the proportion(P), integral(I), and differential(D) of the learner’s level of understanding. Using these parameters, a web server system was constructed as a teaching model adopting learning rules extracted from optimum problems. Using the item response theory, problem characteristics were analyzed by obtaining the discrimination power and difficulty level of each problem, and each learner’s ability was also estimated. Characteristic functions of one set of tests were identified by combining the problem characteristics obtained. These functions were incorporated in the Matlab simulation software, and the relation between the difficulty level of problem determined by manipulation using PID control and the learner’s ability was obtained. With this simulation, a method was constructed to optimally arrange learning materials based on the hierarchical learning theory.

In this paper, a multimedia tool named (SMMP) is proposed. To extract relevant sentences from subtitles of audiovisual, learners input keywords which enable that the sentence containing the target vocabulary repeatedly be exposed. The SMMP employs text retrieval techniques using vocabulary concept similarity measurement and followed by displaying the found sentences in various ways like text, audio and video clips. Since not every single movie covers the proper content for every viewer for the intention of learning. The SMMP also provides the lexical level and category statistical analysis for viewers. These analyses are very useful as the criteria for language learners in selecting appropriate movies as their learning materials.

With recently increased emphasis on learner-centered education, a u-learning system, which can provide learners with a learning at any time in any place, has been becoming the focus of attention. Also, the advance of technology enables learners to have easier access to internet through PDA, thus to acquire information needed to learn on the spot at the moment without time or space constraints. Based on the current trend of the technology, we focus on how learners obtain and access information suitable for them. We shall propose a mobile middleware framework and profiling system, which take into account circumstances of a learner with a mobile device, specifications on a mobile device, and the learner’s level or preferences for individualized u-learning. The middleware system is devised to make use of the information collected from RFID reader for outlining the learning environment of the learner.

We present ERM-Tutor, a constraint-based tutor that teaches logical database design (i.e. mapping conceptual to logical database schemas). Students practice this procedural task in ERM-Tutor by solving each step and receiving feedback on their solutions. We also present a new feature added to the system, which enables students to ask free-form questions. A preliminary evaluation carried out on ERM-Tutor investigated how students use free-form questions, and provided promising results. We plan to perform a bigger study in early 2006.

Teaching by fun is the most ideal teaching strategy in the educational field. In that case we are trying to establish a game-like learning system with Multi-modal interface and mix-initiative dialogue system for pre-school children.

This paper reports the first phase of a project with the goal of developing a general model of self-explanation support, which could be used in both open- and closed-ended domains. We studied how human tutors provide additional support to students learning with an existing intelligent tutoring system designed to help students learn database modelling. We report on the findings from this study, which will serve as the basis for defining the model. We also discuss directions for future work.

As knowledge becomes a crucial asset to organization’s survival, an efficient knowledge management policy should be set up and should result into an organizational memory. Similarly, an effective eLearning program must be implemented in the organization and exploit the organizational memory to manage competence evolution. In this paper, we introduce a framework to manage organizational knowledge through the creation and management of an ontology-based Organizational Memory (OM). We also explain how an Intelligent Tutoring System (ITS) can benefit from this OM in order to provide a just-in time, just enough learning solution to the organization’s members.

A major issue in Intelligent Tutoring Systems is off-task student behavior, especially performance-based gaming, where students systematically exploit tutor behavior in order to advance through a curriculum quickly and easily, with as little active thought directed at the educational content as possible. This research developed both active interventions to combat gaming and passive interventions to prevent gaming. Our passive graphical intervention has been well received by teachers, and our experimental results suggest that using a combination of intervention types is effective at reducing off-task gaming behavior.

T-algebra is an interactive learning environment for step-by-step solving algebra problems, including linear equations. A step in T-algebra combines conversion by rules with entering of the result. The rules, which correspond to the steps of school algorithms, give the program information about the student’s intentions and enable the program to check the knowledge of the student, to understand the mistakes and give feedback. T-algebra is intended to help learning solution algorithms and their steps with designed rules. This article describes the rules designed for linear equation solving in T-algebra.