Aprendizaje INCLUSIVO centrado en las necesidades de las personas. Avances en estándares, plataformas y desarrollo de servicios de aprendizaje personalizados

[Resumen] La mayoría de los informes e iniciativas que promueven el afrontar los retos del aprendizaje centrado en el estudiante insisten en desarrollar escenarios y sistemas educativos con capacidad de adaptación. Sin embargo, dichos desarrollos todavía no cubren las cuestiones más básicas de atención de las necesidades derivadas de la diversidad funcional de los estudiantes. Después de repasar los objetivos destacados por numerosos informes y normativas, en este trabajo presentamos cuestiones tecnológicas relacionadas con los estándares necesarios, la situación de los sistemas de gestión del aprendizaje y el soporte dinámico basado en técnicas de modelado del usuario que afectan al desarrollo de los escenarios requeridos para abordar la autonomía personal en educación. En concreto, se introducen aspectos relacionados de los desarrollos del grupo de investigación aDeNu de la UNED

Involving Users to Improve the Collaborative Logical Framework

In order to support collaboration in web-based learning, there is a need for an intelligent support that facilitates its management during the design, development, and analysis of the collaborative learning experience and supports both students and instructors. At aDeNu research group we have proposed the Collaborative Logical Framework (CLF) to create effective scenarios that support learning through interaction, exploration, discussion, and collaborative knowledge construction. This approach draws on artificial intelligence techniques to support and foster an effective involvement of students to collaborate. At the same time, the instructors’ workload is reduced as some of their tasks—especially those related to the monitoring of the students behavior—are automated. After introducing the CLF approach, in this paper, we present two formative evaluations with users carried out to improve the design of this collaborative tool and thus enrich the personalized support provided. In the first one, we analyze, following the layered evaluation approach, the results of an observational study with 56 participants. In the second one, we tested the infrastructure to gather emotional data when carrying out another observational study with 17 participants

Reducing techno-anxiety in high school teachers by improving their ICT problem-solving skills

Teachers need to continuously update their information and communication technologies (ICT) knowledge, but they are usually not trained to deal with the problems arising from their use. In fact, studies in the literature report techno-anxiety (i.e. unpleasant physiological activation and discomfort due to present or future use of ICT) in teachers. Thus, the goal of this action research is to study if teachers’ techno-anxiety can be reduced by increasing their ability to solve technological problems. An inter-subject experiment has been carried out with 46 teachers. High school teachers were chosen because they are digital immigrants, while at the moment of this research their students are digital natives (born around year 2000). Since we could not find any specific training for teachers to increase their resolution skills of technological problems, in order to apply the treatment for our study, we have designed and deployed an online course about ICT problem-solving skills based on the 70/20/10 model for learning and development. Results show the success of the course when it comes to increasing the ICT problem-solving skills and to reducing techno-anxiety.Preprin

An Evaluation of Mouse and Keyboard Interaction Indicators towards Non-intrusive and Low Cost Affective Modeling in an Educational Context

AbstractIn this paper we propose a series of indicators, which derive from user's interactions with mouse and keyboard. The goal is to evaluate their use in identifying affective states and behavior changes in an e-learning platform by means of non-intrusive and low cost methods. The approach we have followed study user's interactions regardless of the task being performed and its presentation, aiming at finding a solution applicable in any domain. In particular, mouse movements and clicks, as well as keystrokes were recorded during a math problem solving activity where users involved in the experiment had not only to score their degree of valence (i.e., pleasure versus displeasure) and arousal (i.e., high activation versus low activation) of their affective states after each problem by using the Self-Assessment-Manikin scale, but also type a description of their own feelings. By using that affective labeling, we evaluated the information provided by these different indicators processed from the original user's interactions logs. In total, we computed 42 keyboard indicators and 96 mouse indicators

Panorama of Recommender Systems to Support Learning

This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their characteristics and analysed for their contribution to the evolution of the RecSysTEL research field. Current challenges have been identified to lead the work of the forthcoming years.Hendrik Drachsler has been partly supported by the FP7 EU Project LACE (619424). Katrien Verbert is a post-doctoral fellow of the Research Foundation Flanders (FWO). Olga C. Santos would like to acknowledge that her contributions to this work have been carried out within the project Multimodal approaches for Affective Modelling in Inclusive Personalized Educational scenarios in intelligent Contexts (MAMIPEC -TIN2011-29221-C03-01). Nikos Manouselis has been partially supported with funding CIP-PSP Open Discovery Space (297229

Conditional IMS learning design generation using User modeling and planning techniques

Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented. The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling

A General Tracking and Auditing Architecture for the OpenACS framework

The paper describes the Tracking and Auditing Engines (TAE) in process of development for the OpenACS framework through the implementation of a tracking subsystem and an auditing API built upon it. The main theoretical considerations that must fulfill such system are discussed in the paper, specially the differences between the responsibilities and functions for the tracking and auditing processes. The data required and where to get it from the framework, the architecture designed, and the technology to be used in the implementation are also presented. As a practical use of the TAE, the paper presents on-going authors’ research that is based on analyzing dotLRN users’ interactions. These research works will benefit from the audit trails provided by the TAE

Adaptación y accesibilidad de las tecnologías para el aprendizaje

Monográfico de la RIED. Revista Iberoamericana de Educación a Distancia 13.

Aplicación de métodos de diseño centrado en el usuario y minería de datos para definir recomendaciones que promuevan el uso del foro en una experiencia virtual de aprendizaje

The use of recommendation systems in learning virtual environments is increasingly becoming a feasible approach for providing the adaptive support required to attend students’ learning needs. With the interaction data obtained from these virtual environments it is possible to find indicators where data mining and machine learning techniques can be applied to identify relevant information that allows for the definition of recommendations. In this research we have applied unsupervised learning techniques to identify common interaction patterns with available forums in a course on the OpenACS/dotLRN platform. This will allow recommendations to be defined that help improve the students’ learning experience.La adopción de sistemas recomendadores en ambientes virtuales de aprendizaje se está convirtiendo en una alternativa; para lograr la adaptación automática requerida, para atender las necesidades de aprendizaje de los estudiantes. Con los datos de interacción, que proveen estos ambientes es posible encontrar indicadores que con la aplicación de técnicas de minería de datos y aprendizaje automático se pueda identificar información relevante, para la definición de recomendaciones. En esta investigación, hemos aplicado técnicas de aprendizaje no supervisado, para la identificación de patrones comunes de interacción con los foros disponibles en un curso de la plataforma OpenACS/dotLRN. Esto facilitará la definición de recomendaciones que ayuden a mejorar la experiencia de aprendizaje de los estudiantes

Accessible lifelong learning at higher education:outcomes and lessons Learned at two different PilotSites in the EU4ALL Project

[EN] The EU4ALL project (IST-FP6-034778) has developed a general framework to address the needs of accessible lifelong learning at Higher Education level consisting of several standards-based interoperable components integrated into an open web service architecture aimed at supporting adapted interaction to guarantee students' accessibility needs. Its flexibility has supported the project implementation at several sites with different settings and various learning management systems. Large-scale evaluations involving hundreds of users, considering diverse disability types, and key staff roles have allowed obtaining valuable lessons with respect to "how to adopt or enhance eLearning accessibility" at university. The project was evaluated at four higher education institutions, two of the largest in Europe and two mediumsized. In this paper, we focus on describing the implementation and main conclusions at the largest project evaluation site (UNED), which was involved in the project from the beginning, and thus, in the design process, and a medium-sized university that adopted the EU4ALL approach (UPV). This implies dealing with two well-known open source learning environments (i.e. dotLRN and Sakai), and considering a wide variety of stakeholders and requirements. Thus the results of this evaluation serve to illustrate the coverage of both the approach and developments.The authors would like to thank the European Commission for the financial support of the EU4ALL project (IST-2006-034478). The work at aDeNu is also supported by the Spanish Ministry of Science and Innovation (TIN2008-06862-C04-01/TSI “A2UN@”). Authors would also like to thank all the EU4ALL partners for their collaboration.Boticario, JG.; Rodriguez-Ascaso, A.; Santos, OC.; Raffenne, E.; Montandon, L.; Roldán Martínez, D.; Buendía García, F. (2012). Accessible lifelong learning at higher education:outcomes and lessons Learned at two different PilotSites in the EU4ALL Project. Journal of Universal Computer Science. 18(1):62-85. http://hdl.handle.net/10251/37117628518