Agentes inteligentes para el soporte a la reutilización de software

Versión electrónica de la ponencia presentada en el Workshop de Investigadores en Ciencias de la Computación (WICC 2000), celebrado en 2000 en Buenos Aire

Using adaptive hypermedia to support diversity in secondary schools

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. F. Muñoz, and A. Ortigosa, “Using adaptive hypermedia to support diversity in secondary schools”, in Sixth International Conference on Advanced Learning Technologies, 2006, Kerkrade, 2006, pp. 1055-1059Attention to diversity is growing concern in public secondary schools in Spain. This paper presents an assessment about the use of adaptive hypermedia technology for supporting diversity. Three experiences were carried out with an adaptive course on mathematics to test the effects of this technology on the heterogeneous population of secondary schools. Their results and conclusions are also presentedThis work has been funded by the Spanish Ministry of Science and Education, TIN2004-03140

Detecting symptoms of low performance using production rules

This is an electronic version of the paper presented at the International Conference on Educational Data Mining (EDM'09), held in Cordoba (Spain) on 2009E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning material. Such material can be accessed at any time from anywhere using different devices, and can be personalized according to the individual student’s needs, goals and knowledge. However, authoring and evaluation of this material remains a complex a task. While many researchers focus on the authoring support, not much has been done to facilitate the evaluation of e-Learning applications, which requires processing of the vast quantity of data generated by students. We address this problem by proposing an approach for detecting potential symptoms of low performance in e-Learning courses. It supports two main steps: generating the production rules of C4.5 algorithm and filtering the most representative rules, which could indicate low performance of students. In addition, the approach has been evaluated on the log files of student activity with two versions of a Web-based quiz system.This work has been funded by Spanish Ministry of Science and Education through the HADA project TIN2007-64718

Un método para la aplicación de documentación inteligente en la instanciación de Frameworks orientados a objetos

Tesis inédita de la Universidad Autónoma de Madrid. Escuela Técnica Superior de Informática, Departamento de Ingeniería Informática

Enhancing framework usability through smart documentation

This is an electronic version of the paper presented at the 3rd Argentine Symposium on Object Orientation (ASOO'99), held in Buenos Aires, ArgentinaIn this work we present SmartBooks, a new approach to support framework instantiation based on the active cookbook concept, extended with the combination of the concept of user-tasks modeling and least commitment planning methods. Based on this technique, a tool can present to the developer the different high level activities that can be carried out when creating a new application from a framework, taking as basis the documentation provided by the designer through instantiation rules. For each of these high level activities, there is a list of tasks that the user must carry out in order to complete the activity. When the user selects her next objective, the tool is able to build the sequence of tasks that have to be done to accomplish that objective: the instantiation plan; and the process of plan creation is named planning. In this paper we present the main characteristics of the planning approach and an example of the instantiation tool being developed

Tracking News Stories Using Blockchain to Guarantee their Traceability and Information Analysis

Nowadays, having a mechanism to guarantee the traceability of the information and to monitor the evolution of the news from its origin, and having elements to know the reputation and credibility of the media, analyze the news as well as its evolution and possible manipulation, etc. is becoming increasingly significant. Transparency in journalism is currently a key element in performing serious and rigorous journalism. End-users and fact-checking agencies need to be able to check and verify the information published in different media. This transparency principle enables the tracking of news stories and allows direct access to the source of essential content to contrast the information it contains and to know whether it has been manipulated. Additionally, the traceability of news constitutes another instrument in the fight against the lack of credibility, the manipulation of information, misinformation campaigns and the propagation of fake news. This article aims to show how to use Blockchain to facilitate the tracking and traceability of news so that it can provide support to the automatic indexing and extraction of relevant information from newspaper articles to facilitate the monitoring of the news story and allows users to verify the veracity of what they are reading

Using decision trees for discovering problems on adaptive courses

Copyright by AACE. Reprinted from the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Nov 17, 2008, with permission of AACE (http://www.aace.org).Adaptive Hypermedia Systems personalize the learning experience of each user, by providing learning materials adapted to his/her needs, preferences, personal characteristics, etc. The goal is to make the learning process easier or more efficient. However, on the teacher side the improvement and evaluation of these systems are difficult tasks, especially when there are multiple student profiles or huge amount of interaction data of students. In this work, data mining methods, and specifically decision trees, are used for helping in both improvement and evaluation. Our work consists of analyzing two data sets by using decision trees. The first data set contains the interaction data of 24 real students, and the second data set is composed of synthetic data about 100 students. The results of these analyses demonstrated that 24 students is a small data set when decision trees are used. However, the tree showed information relating to the practical activities in which students had more problems for completing them providing useful feedback to the course designer.This work has been funded by Spanish Ministry of Science and Education through the HADA project TIN2007-64718. Cesar Vialardi is also funded by Fundación Carolina

A problem-oriented method for supporting AEH authors through data mining

Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Proceeding of International Workshop on Applying Data Mining in e-Learning ADML'07. Sissi, Lassithi - Crete Greece, 18 September, 2007.One of the main problems with Adaptive Educational Hypermedia Systems (AEHS) is that is very difficult to test whether adaptation decisions are beneficial for all the students or some of them would benefit from a different adaptation. Data mining techniques can provide support to overcome, to a certain extent, this problem. This paper proposes the use of these techniques for detecting potential problems of adaptation in AEH systems. The proposed method searches for symptoms of these problems (called anomalies) through log analysis and tries to interpret the findings. Currently, a decision tree technique is being used for the task.This work has been partially funded by the Spanish Ministry of Science and Education through project TIN2004-03140 and TSI2006-12085. The author C. Vialardi is also funded by Fundacion Carolina

Improving AEH courses through log analysis

Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need specific methods and tools for supporting their work. In that sense, data mining is a promising technology. In fact, data mining techniques have already been used in E-learning systems, but most of the times their application is oriented to provide better support to students; little work has been done for assisting adaptive hypermedia authors through data mining. In this paper we present a proposal for using data mining for improving an adaptive hypermedia system. A tool implementing the proposed approach is also presented, along with examples of how data mining technology can assist teachers.This work has been partially funded by the Spanish Ministry of Science and Education through project HADA (TIN2007-64716). The first author is also funded by Fundación Carolina

ASquare: A powerful evaluation tool for adaptive hypermedia course system

Currently many methods and tools are being developed to support e-Learning courses. On the one hand, they are used to help students. On the other, a few applications are being developed to help course designers and instructors. In addition, the development of this applications is important for improving the performance of the course. Thus, we proposed in this paper to use data mining methods to aid in the designing of adaptive courses and the evaluation of their effectiveness. Lastly, the results of the implementation of our tool and examples of the utility of Data Mining for teachers is given