Examinando por Autor "Pinedo Castillo, Leire"

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    How dominant language influences rubric reading and task performance: insights from eye-tracking research
    (Springer Science and Business Media B.V., 2025-06) Panadero, Ernesto; Delgado, Pablo; Barrenetxea Mínguez, Lucía; Zamorano Sande, David; Pinedo Castillo, Leire; Fernández Ortube, Alazne
    The students’ dominant language might influence how they use and process a rubric and its subsequent effect on task performance. However, our knowledge about these effects is limited. This study investigates how the dominant language of students is associated with their rubric reading patterns and their task performance in a written landscape analysis in Spanish. Participants were 80 higher education students with different dominant language (Spanish-dominant speakers, SDS; Basque-Spanish speakers, BSS) from six undergraduate programmes. We employed a randomized controlled trial in which participants used a rubric to guide their performance in a written analysis of a landscape. Participants were randomly assigned to two conditions based on the rubric order: (1) lowest to highest performance level vs (2) highest to lowest performance level. We analyzed eye-tracking data to explore reading patterns (i.e., fixation times on the rubric cells and gaze transitions between the rubric and the picture of the landscape), task performance (i.e., written landscape analysis), and self-reported cognitive load. Spanish-dominant speakers exhibited more adaptive reading patterns and performed better in the written landscape analysis with the highest-lowest performance level (PL) order rubric, compared to Basque-Spanish speakers. Additionally, fixation time on highest PL and gaze transitions between highest PL and the landscape picture were positively correlated with task performance. Our research highlights the importance of considering dominant language in rubric design and implementation, showing that strategic rubric design can enhance student performance, particularly in linguistically diverse educational settings
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    A self-feedback model (SEFEMO): secondary and higher education students’ self-assessment profiles
    (Routledge, 2024) Panadero, Ernesto; Fernández Ruiz, Javier; Pinedo Castillo, Leire; Sánchez Iglesias, Iván; García-Pérez, Daniel
    While self-assessment is a widely explored area in educational research, our understanding of how students assess themselves, or in other words, generate self-feedback, is quite limited. Self-assessment process has been a black box that recent research is trying to open. This study explored and integrated two data collections (secondary and higher education) that investigated students’ real actions while self-assessing, aiming to disentangle self-assessment into more precise actions. Our goal was to identify self-assessment processes and profiles to better understand what happens when students self-assess and to design and implement better interventions. By combining such data, we were able to explore the differences between secondary and higher education students, the effects of external feedback on self-assessment, and to propose a model of ideal self-assessment (SEFEMO). Using think-aloud protocols, direct observation and self-reported data, we identified six main actions (read, recall, compare, rate, assess, and redo) and four self-assessment profiles. In general, secondary and higher education students showed the same actions and very similar profiles. External feedback had a negative effect on the self-assessment actions except for the less advanced self-assessors. Based on data from more than 500 self-assessment performances, we propose a model of self-feedback.