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Analysis of institutional authors

Ortega-Ruiperez, BeatrizCorresponding Author

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February 10, 2025
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Article

I MPACT OF A D IGITAL T OOL TO I MPROVE M ETACOGNITIVE S TRATEGIES FOR S ELF-R EGULATION D URING T EXT R EADING IN O NLINE T EACHER E DUCATION

Publicated to: Journal Of Information Technology Education: Innovations In Practice. 23 7- - 2024-01-01 23(), DOI: 10.28945/5305

Authors:

Ortega-Ruiperez, Beatriz; Pereles, Ana; Lazaro, Miguel
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Affiliations

Univ Int La Rioja, Logrono, Spain - Author
Univ Rey Juan Carlos, Didact & Sch Org, Madrid, Spain - Author

Abstract

Aim/Purpose The aim of the study is to test whether the perception of self -regulated learning during text reading in online teacher education is improved by using a digital tool for the use of metacognitive strategies for planning, monitoring, and selfassessment. Background The use of self -regulated learning is important in reading skills, and for students to develop self -regulated learning, their teachers must master it. Therefore, teaching strategies for self -regulated learning in teacher education is essential. Methodology The sample size was 252 participants with the tool used by 42% or the participants. A quasi -experimental design was used in a pre -post study. ARATEX -R, a text -based scale, was used to evaluate self -regulated learning. The 5 -point Likert scale includes the evaluation of five dimensions: planning strategies, cognition management, motivation management, comprehension assessment and context management. A Generalized Linear Model was used to analyse the results. Contribution Using the tool to self -regulate learning has led to an improvement during text reading, especially in the dimensions of motivation management, planning management and comprehension assessment, key dimensions for text comprehension and learning. Findings Participants who use the app perceive greater improvement, especially in the di- mensions of motivation management (22,3%), planning management (19.9%) and comprehension assessment (24,6%), which are fundamental dimensions for self -regulation in text reading. Recommendations for Practitioners Recommendations for Researchers This tool should be included in teacher training to enable reflection during the reading of texts, because it helps to improve three key types of strategies in self - regulation: (1) planning through planning management, (2) monitoring through motivation management and comprehension assessment, and (3) self -assess- ment through comprehension assessment. The success of the tool suggests further study for its application in other use cases: other student profiles in higher education, other teaching modalities, and other educational stages. These studies will help to identify adaptations that will extend the tool's use in education. Impact on Society The use of Metadig facilitates reflection during the reading of texts in order to improve comprehension and thus self -regulate the learning of content. This re- flection is crucial for students' knowledge construction. Future Research Future research will focus on enhancing the digital tool by adding features to support the development of cognition and context management. It will also fo- cus on how on adapting the tool to help other types of learners.
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Keywords

Academic-performanceDigital tooEducatioMetacognitionReadingReading-comprehensionSelf-efficacySelf-regulated learningTeacher education

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Information Technology Education: Innovations In Practice 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, 2024 there are still no calculated indicators, but in 2023, it was in position 297/756, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Education & Educational Research. Notably, the journal is positioned en el Cuartil Q3 para la agencia Scopus (SJR) en la categoría Computer Science (Miscellaneous).

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 2025-12-18:

  • WoS: 1
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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 2025-12-18:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 35.
  • 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: 37 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

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:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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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 (Ortega Ruipérez, Beatriz) .

the author responsible for correspondence tasks has been Ortega Ruipérez, Beatriz.

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Awards linked to the item

This work has been financed by the " Mejora del aprendizaje autorregulado al emplear de estrategias metacogniti-vas a traves de una herramienta digital: analisisy comparativa de resultados" [Improving self-regulated learning by employing metacognitive strategies through a digital tool: analysis and comparison of results] Re-search Project with reference JT-2022-03 granted in the UNIR Young Talents R&D Projects 2022 of the International University of La Rioja (UNIR) .
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