A multicase study for the evaluation of a pattern-based visual design process for collaborative learning

Collage is a pattern-based visual design authoring tool for the creation of collaborative learning scripts computationally modelled with IMS Learning Design (LD). The pattern-based visual approach aims to provide teachers with design ideas that are based on broadly accepted practices. Besides, it seeks hiding the LD notation so that teachers can easily create their own designs. The use of visual representations supports both the understanding of the design ideas and the usability of the authoring tool. This paper presents a multicase study comprising three different cases that evaluate the approach from different perspectives. The first case includes workshops where teachers use Collage. A second case implies the design of a scenario proposed by a third-party using related approaches. The third case analyzes a situation where students follow a design created with Collage. The cross-case analysis provides a global understanding of the possibilities and limitations of the pattern-based visual design approach.

Free-and open source software for a course on network management: authoring and enactment of scripts based on collaborative learning strategies

This paper describes a Computer-Supported Collaborative Learning (CSCL) case study in engineering education carried out within the context of a network management course. The case study shows that the use of two computing tools developed by the authors and based on Free- and Open-Source Software (FOSS) provide significant educational benefits over traditional engineering pedagogical approaches in terms of both concepts and engineering competencies acquisition. First, the Collage authoring tool guides and supports the course teacher in the process of authoring computer-interpretable representations (using the IMS Learning Design standard notation) of effective collaborative pedagogical designs. Besides, the Gridcole system supports the enactment of that design by guiding the students throughout the prescribed sequence of learning activities. The paper introduces the goals and context of the case study, elaborates onhow Collage and Gridcole were employed, describes the applied evaluation methodology, anddiscusses the most significant findings derived from the case study.

LdShake: learning design solutions sharing and co-edition

Two important challenges that teachers are currently facing are the sharing and the collaborative authoring of their learning design solutions, such as didactical units and learning materials. On the one hand, there are tools that can be used for the creation of design solutions and only some of them facilitate the co-edition. However, they do not incorporate mechanisms that support the sharing of the designs between teachers. On the other hand, there are tools that serve as repositories of educational resources but they do not enable the authoring of the designs. In this paper we present LdShake, a web tool whose novelty is focused on the combined support for the social sharing and co-edition of learning design solutions within communities of teachers. Teachers can create and share learning designs with other teachers using different access rights so that they can read, comment or co-edit the designs. Therefore, each design solution is associated to a group of teachers able to work on its definition, and another group that can only see the design. The tool is generic in that it allows the creation of designs based on any pedagogical approach. However, it can be particularized in instances providing pre-formatted designs structured according to a specific didactic method (such as Problem-Based Learning, PBL). A particularized LdShake instance has been used in the context of Human Biology studies where teams of teachers are required to work together in the design of PBL solutions. A controlled user study, that compares the use of a generic LdShake and a Moodle system, configured to enable the creation and sharing of designs, has been also carried out. The combined results of the real and controlled studies show that the social structure, and the commenting, co-edition and publishing features of LdShake provide a useful, effective and usable approach for facilitating teachers' teamwork.

Learning design twofold strategies for teacher-led inquiry andstudent active learning

This workshop paper states that fostering active student participation both in face-to-face lectures / seminars and outside the classroom (personal and group study at home, the library, etc.) requires a certain level of teacher-led inquiry. The paper presents a set of strategies drawn from real practice in higher education with teacher-led inquiry ingredients that promote active learning. Thesepractices highlight the role of the syllabus, the importance of iterative learning designs, explicit teacher-led inquiry, and the implications of the context, sustainability and practitioners’ creativity. The strategies discussed in this paper can serve as input to the workshop as real cases that need to be represented in design and supported in enactment (with and without technologies).

CLFP intrinsic constraints-based group management of blended learning situations

When applying a Collaborative Learning Flow Pattern (CLFP) to structure sequences of activities in real contexts, one of the tasks is to organize groups of students according to the constraints imposed by the pattern. Sometimes,unexpected events occurring at runtime force this pre-defined distribution to be changed. In such situations, an adjustment of the group structures to be adapted to the new context is needed. If the collaborative pattern is complex, this group redefinitionmight be difficult and time consuming to be carried out in real time. In this context, technology can help on notifying the teacher which incompatibilitiesbetween the actual context and the constraints imposed by the pattern. This chapter presents a flexible solution for supporting teachers in the group organization profiting from the intrinsic constraints defined by a CLFPs codified in IMS Learning Design. A prototype of a web-based tool for the TAPPS and Jigsaw CLFPs and the preliminary results of a controlled user study are alsopresented as a first step towards flexible technological systems to support grouping tasks in this context.

Diseño, implementación y evaluación de un juego pervasivo basado en puzles dentro del edificio Tànger (UPF)

Las nuevas generaciones de estudiantes se caracterizan en que han crecido inmersas en la tecnología digital, hecho que ha cambiado sus costumbres y preferencias en la forma de estudiar. Así que es necesario ingeniar nuevas técnicas de aprendizaje y buscar un complemento al poco atractivo y desmotivador material físico tradicional. Una de las alternativas que se plantean es utilizar juegos educativos como herramienta de aprendizaje, aportándonos innovación, motivación y un aprendizaje activo que no nos aportan técnicas más tradicionales.Esta metodología basada en el uso de juegos educativos puede afectar positivamente en un campo de educación perjudicado como es el área de las ingenierías del área de Tecnologías de la Información y la Comunicación (TIC), donde cada vez son más los jóvenes que deciden no estudiar carreras técnicas. Ante esta situación, aplicar juegos educativos puede ser una buena solución. Este proyecto consistirá en diseñar e implementar un juego educativo enfocado a aprender sobre algunos conceptos que se tratan en los grados de ingeniería informática, telemática y sistemas audiovisuales de la Universidad Pompeu Fabra (UPF). En concreto, el juego que se ha diseñado e implementado se caracteriza por seguir un modelo conceptual que define qué elementos han de contener un tipo concreto de juegos basados en puzles. Además, aprovechando las ventajas que aportan los estándares educativos, utilizaremos la especificación de IMS Learning Design, como parte de la implementación del juego. Por otro lado, nuestro juego será diseñado para dispositivos móviles y, por consiguiente, consistirá en un juego pervasivo en el que los estudiantes se tendrán que mover por el edificio Tànger de la UPF para poder resolver los diferentes problemas planteados. Finalmente, el juego será evaluado con diferentes estudiantes y serán analizados sus resultados para extraer las conclusiones oportunas.

Diseño, implementación y evaluación de un juego basado en puzzles para el aprendizaje de redes de ordenadores

El aprendizaje basado en juegos proporciona a los alumnos una forma de aprender más motivadora y gratificante al estudiante. Los juegos educativos permiten a los estudiantes centrarse completamente en un contenido concreto, resultándoles beneficioso a la hora de profundizar su conocimiento en esa materia. Esta forma de educar puede ayudar a revertir la situación actual de desinterés de los alumnos por las asignaturas del área de las ingenierías de las Tecnologías de la Información y la Comunicación (TIC). En este sentido, estudios realizados y estadísticas demuestran que las matriculaciones en este sector han disminuido en los últimos años. Teniendo en cuenta estos factores, en este PFC se ha diseñado un juego educativo, basado en puzzles, para aprender conceptos relacionados con las redes de ordenadores, una de las temáticas principales en el campo de las ingenierías TIC. El diseño del juego está fundamentado en un modelo conceptual que define los elementos necesarios para crear juegos basados en puzzles. Por otra parte, en este PFC se hace uso de estándares educativos (en concreto, de la especificación de IMS Learning Design), para la implementación del juego. De este modo, el juego se beneficia de las ventajas derivadas del uso de estándares educativos: definición, compartición y reutilización de objetos de aprendizaje para el diseño, intercambio y la reutilización de estrategias pedagógicas, facilitando la interoperabilidad de los diseños pedagógicos complejos. Además, el juego se ha implementado con tecnología para Android,pudiendo de esta manera ser utilizado en dispositivos móviles que utilicen esta tecnología. Por último, nuestro juego ha sido evaluado por estudiantes de un centro escolar con el fin de analizar los resultados obtenidos a partir de sus opiniones y valoraciones.

Herramienta de autoría para la creación de juegos basados en puzles

L'aprenentatge basat en jocs facilita el millor enteniment de conceptes, aportant entorns estimulants on poder aprendre d'una manera diferent a l'actual. Alguns dels avantatges més destacables són, per exemple, que els jocs fomenten la capacitat dels jugadors per comunicar-se i interactuar entre si. D'altra banda també poden ajudar a pensar de manera critica quan tenenque establir vincles entre la vida virtual i la real, estimulant-los a intentar trobar la solució diferents maneres. Malgrat això, hi ha una escassetat d'eines que permetin als professors poder crear els seus propis jocs educatius.Per donar solució a aquest problema s'ha dissenyat un model conceptual que defineix els elements necessaris perquè professors puguin dissenyar els seus propis jocs educatius basats en puzles. En aquest PFC ens centrarem en el disseny i implementació d'una eina d'autoria que generi els documents d'acord amb aquest model conceptual. En concret, aquesta eina d'autorias'encarregarà de demanar la informació necessària per poder realitzar la creació del joc, de manera que qualsevol persona que tingui o no habilitats de programació, tingui una petita eina que li guiï pas a pas i li generi els arxius necessaris per a la creació d'aquests jocs. D'altra banda, donada els avantatges de l'ús d'estàndards educatius en sistemes d'e-learning, destacar queaquesta eina d'autoria és conforme a l'especificació d'IMS Learning Design (IMS LD). És per això que, com a resultat, l'eina s'encarrega d'emmagatzemar la informació necessària per després processar-la i generar els arxius corresponents a IMS LD per definir el flux d'activitats dels jocs, i els arxius corresponents al model conceptual que defineix els mecanismes de comportamentdels puzles associats a les activitats.

Does Reasoning Enhance Learning?

Utilizing the well-known Ultimatum Game, this note presents the following phenomenon. If we start with simple stimulus-response agents, learning through naive reinforcement, and then grant them some introspective capabilities, we get outcomes that are not closer but farther away from the fully introspective game-theoretic approach. The cause of this is the following: there is an asymmetry in the information that agents can deduce from their experience, and this leads to a bias in their learning process.

Strong minimax lower bounds for learning

Minimax lower bounds for concept learning state, for example, thatfor each sample size $n$ and learning rule $g_n$, there exists a distributionof the observation $X$ and a concept $C$ to be learnt such that the expectederror of $g_n$ is at least a constant times $V/n$, where $V$ is the VC dimensionof the concept class. However, these bounds do not tell anything about therate of decrease of the error for a {\sl fixed} distribution--concept pair.\\In this paper we investigate minimax lower bounds in such a--stronger--sense.We show that for several natural $k$--parameter concept classes, includingthe class of linear halfspaces, the class of balls, the class of polyhedrawith a certain number of faces, and a class of neural networks, for any{\sl sequence} of learning rules $\{g_n\}$, there exists a fixed distributionof $X$ and a fixed concept $C$ such that the expected error is larger thana constant times $k/n$ for {\sl infinitely many n}. We also obtain suchstrong minimax lower bounds for the tail distribution of the probabilityof error, which extend the corresponding minimax lower bounds.

Two-sided learning in New Keynesian models: Dynamics, (lack of) convergence and the value of information

This paper investigates the role of learning by private agents and the central bank(two-sided learning) in a New Keynesian framework in which both sides of the economyhave asymmetric and imperfect knowledge about the true data generating process. Weassume that all agents employ the data that they observe (which may be distinct fordifferent sets of agents) to form beliefs about unknown aspects of the true model ofthe economy, use their beliefs to decide on actions, and revise these beliefs througha statistical learning algorithm as new information becomes available. We study theshort-run dynamics of our model and derive its policy recommendations, particularlywith respect to central bank communications. We demonstrate that two-sided learningcan generate substantial increases in volatility and persistence, and alter the behaviorof the variables in the model in a significant way. Our simulations do not convergeto a symmetric rational expectations equilibrium and we highlight one source thatinvalidates the convergence results of Marcet and Sargent (1989). Finally, we identifya novel aspect of central bank communication in models of learning: communicationcan be harmful if the central bank's model is substantially mis-specified.

Speed of convergence of recursive least squares learning with ARMA perceptions

This paper fills a gap in the existing literature on least squareslearning in linear rational expectations models by studying a setup inwhich agents learn by fitting ARMA models to a subset of the statevariables. This is a natural specification in models with privateinformation because in the presence of hidden state variables, agentshave an incentive to condition forecasts on the infinite past recordsof observables. We study a particular setting in which it sufficesfor agents to fit a first order ARMA process, which preserves thetractability of a finite dimensional parameterization, while permittingconditioning on the infinite past record. We describe how previousresults (Marcet and Sargent [1989a, 1989b] can be adapted to handlethe convergence of estimators of an ARMA process in our self--referentialenvironment. We also study ``rates'' of convergence analytically and viacomputer simulation.