1,720,980 research outputs found
Valutazione dell'efficacia di dissanguamento delle carcasse di suini affetti da pericardite : studio preliminare
Supporting Retrieval of Learning Material in a Personalized Context
In traditional e-learning, teachers design sets of Learning Objects (LOs) and sequence them; the material implementing the LOs could be either built anew, or found elsewhere (e.g. from Standard-compliant Repositories) and reused. These tasks widen when it comes to personalized and adaptive web-based education: it could be necessary to specify and organize different versions of the same LOs and different ways to sequence and administer them. In this paper we present a comprehensive framework supporting the tasks of defining/retrieving/importing LOs for personalized courses. It is partially implemented in a Moodle-based personalization system, in which the user is guided through: 1) the theoretical specification of the needed LOs; 2) the retrieval of actual LOs, by automatically querying standard-compliant repositories; 3) the analysis of such items, to import those selected by the user. The system allows scaling towards the organization of a social network of teachers, in which the whole dynamic semantic network representing the knowledge-base of the teachers community can be exploited to strengthen the retrieval power of the LOs search
LS-Lab: a Framework for Comparing Curriculum Sequencing Algorithms
Curriculum sequencing is one of the most appealing challenges in Web-based learning environments: the success of a course mainly depends on the system capability to automatically adapt the learning material to the student's educational needs. Here we address the problem of how to compare and to test different curriculum sequencing algorithms in order to reason about them in a self-contained and homogeneous environment. We propose LS-LAB, a framework especially designed for comparing and testing different curriculum sequencing algorithms. LS-LAB has been designed to run different algorithms, each of them provided with its own student model representation: a super student model is able to incrementally include all of them. In this framework, the learning node has to be compliant to the IEEE LOM specifications, while, through a suitable GUI, one can insert new algorithms or run already available ones. We are carrying out the implementation by using a 3-tier Java application technology, in order to make this environment available on the Internet. Finally we show an application example
The Self-Directed Learning Paradigm for Intelligent Educational Systems.
Computer-based educational systems can teach procedural expertise inexpensively yet effectively if a holistic, self directed instructional paradigm is used. The educational system described here is an example. It teaches users who know at least the basics of a foreign language, to write effective business letters in that language. A case-based search engine proposed to these users passages extracted from correspondence which has been used with success in their business community, and lets them systematically "assemble" the letter needed for the circumstances at hand. Applying Case-Based Reasoning to a database of model letters, the system selects the passages according to the communicative intent which they user defines for each paragraph of the desired letter; the system also takes into account both the user's and the recipient's personality and culture. The most innovative aspect of the system is the underlying non-directive educational philosophy: "teach better'by teaching less." It draws inspiration. from such pedagogical currents as Constructivism and Self-Directed Learning. The system, in fact, does not offer the user a ''best choice" from among the passages it proposes, but rather leaves defining what is "best" to the user/learner. The paper argues at length that by making learoers responsible for formulating what they need to know, the system develops what is distinctively human in the process of coming to know: the volitional substratum
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
An Application of the LS-Plan system to an educational hypermedia
LS-Plan is a system capable to provide educational hypermedia with adaptivity. During the student’s navigation in hyperspace, the system, by means of a suitable interface, receives in input, for each visited learning node, a behavioral pattern, containing the student’s knowledge acquired or not acquired in that node and measured by a post-test questionnaire. Then, by means of the adaptation algorithms, the system returns a Learning Object Sequence to the hypermedia, just to be recommended to the student. In this work we investigate in detail the adaptation algorithms together with the didactic strategies behind them, through an application to a real learning domain, subdivided in five case studies. Moreover, we show in detail how the automated planner, embedded into the system, allows consistency checks during the arrangement of the pool of Learning Nodes, allowing the teacher to define possible didactic strategies during automatic course personalization. Finally, the performance of the system is evaluated by means of an experimental design with positive results
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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