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Analysis of institutional authors

Gloria Sanchez-Torrubia, M.AuthorTorres-Blanc, CarmenAuthor

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June 9, 2019
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An approach to automatic learning assessment based on the computational theory of perceptions

Publicated to: EXPERT SYSTEMS WITH APPLICATIONS. 39 (15): 12177-12191 - 2012-11-01 39(15), DOI: 10.1016/j.eswa.2012.04.069

Authors:

Sánchez-Torrubia, MG; Torres-Blanc, C; Trivino, G
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Affiliations

European Ctr Soft Comp, Mieres, Asturias, Spain - Author
Univ Politecn Madrid Boadilla del Monte, Dept Appl Math, Madrid, Spain - Author

Abstract

E-learning systems output a huge quantity of data on a learning process. However, it takes a lot of specialist human resources to manually process these data and generate an assessment report. Additionally, for formative assessment, the report should state the attainment level of the learning goals defined by the instructor. This paper describes the use of the granular linguistic model of a phenomenon (GLMP) to model the assessment of the learning process and implement the automated generation of an assessment report. GLMP is based on fuzzy logic and the computational theory of perceptions. This technique is useful for. implementing complex assessment criteria using inference systems based on linguistic rules. Apart from the grade, the model also generates a detailed natural language progress report on the achieved proficiency level, based exclusively on the objective data gathered from correct and incorrect responses. This is illustrated by applying the model to the assessment of Dijkstra's algorithm learning using a visual simulation-based graph algorithm learning environment, called GRAPHs. (C) 2012 Elsevier Ltd. All rights reserved.
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Keywords

AchievementAlgorithm visualizationAutomatic learning assessmentComputing with words and perceptionsFuzzy rulesGranular linguistic model of a phenomenonMembership functionsNumbersOwa operatorsSetsStudents evaluationSummariesSystem

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal EXPERT SYSTEMS WITH APPLICATIONS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position 31/115, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Artificial Intelligence.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • WoS: 12
  • Scopus: 13
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 47 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/15804/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 439
  • Downloads: 538
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SANCHEZ TORRUBIA, MARIA GLORIA) .

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Awards linked to the item

The research reported in this paper was partially supported by the Spanish Government (MICINN) under project TIN2011-29827-C02-01 and by UPM-CAM.
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