Panadero, ErnestoGarcía Pérez, DanielFernández Ruiz, JavierFraile, JavierSánchez Iglesias, IvánBrown, Gavin T. L.2024-02-222024-02-222022-10-24Panadero, E., García-Pérez, D., Fernández-Ruiz, J., Fraile, J., Sánchez-Iglesias, I., & Brown, G. T. (2023). University students’ strategies and criteria during self-assessment: instructor’s feedback, rubrics, and year level effects. European Journal of Psychology of Education, 38(3), 1031-1051. https://doi.org/10.1007/s10212-022-00639-40256-292810.1007/s10212-022-00639-4https://hdl.handle.net/20.500.14352/101649Referencias bibliográficas: • Andrade, H. (2018). Feedback in the context of self-assessment. In A. A. Lipnevich & J. K. Smith (Eds.), The Cambridge handbook of instructional feedback (pp. 376–408). Cambridge University Press. DOI: 10.1017/9781316832134.019 • Azevedo, R., Taub, M., & Mudrick, N. V. (2018). Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-regulation with advanced learning technologies. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (pp. 254–270). Routledge. • Barnett, J. E., & Hixon, J. E. (1997). Effects of grade level and subject on student test score predictions. The Journal of Educational Research, 90(3), 170–174. 10.1080/00220671.1997.10543773 DOI: 10.1080/00220671.1997.10543773 • Boud, D. (1995). Assessment and learning: Contradictory or complementary. In P. Knight (Ed.), Assessment for learning in higher education (pp. 35–48). Kogan. • Boud, D., & Falchikov, N. (1989). Quantitative studies of student self-assessment in higher education: A critical analysis of findings. Higher Education, 18(5), 529–549. 10.1007/BF00138746 DOI: 10.1007/BF00138746 • Brookhart, S. M. (2018). Appropriate criteria: Key to effective rubrics. Frontiers in Education, 3(22), 1–12. 10.3389/feduc.2018.00022 DOI: 10.3389/feduc.2018.00022 • Brookhart, S. M., & Chen, F. (2015). The quality and effectiveness of descriptive rubrics. Educational Review, 67(3), 343–368. 10.1080/00131911.2014.929565 DOI: 10.1080/00131911.2014.929565 • Brown, G. T. L., & Harris, L. R. (2013). Student self-assessment. In J. H. McMillan (Ed.), The SAGE handbook of research on classroom assessment (pp. 367–393). Sage. • Brown, G. T. L., & Harris, L. R. (2014). The future of self-assessment in classroom practice: Reframing self-assessment as a core competency. Frontline Learning Research, 3, 22–30. 10.14786/flr.v2i1.24 DOI: 10.14786/flr.v2i1.24 • Brown, G. T. L., Peterson, E. R., & Yao, E. S. (2016). Student conceptions of feedback: Impact on self-regulation, self-efficacy, and academic achievement. British Journal of Educational Psychology, 86(4), 606–629. DOI: 10.1111/bjep.12126 • Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65(3), 245–281. 10.3102/00346543065003245 DOI: 10.3102/00346543065003245 • Dawson, P. (2017). Assessment rubrics: Towards clearer and more replicable design, research and practice. Assessment & Evaluation in Higher Education, 1–14. 10.1080/02602938.2015.1111294 • Falchikov, N., & Boud, D. (1989). Student self-assessment in higher education: A meta-analysis. Review of Educational Research, 59(4), 395–430. 10.3102/00346543059004395 DOI: 10.3102/00346543059004395 • Faul, F., Erdfelder, E., Lang, A.-G., & y Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. 10.3758/BF03193146 DOI: 10.3758/BF03193146 • Halonen, J. S., Bosack, T., Clay, S., McCarthy, M., Dunn, D. S., Hill Iv, G. W., & Whitlock, K. (2003). A rubric for learning, teaching, and assessing scientific inquiry in psychology. Teaching of Psychology, 30(3), 196–208. 10.1207/s15328023top3003_01 DOI: 10.1207/s15328023top3003_01 • Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. 10.3102/003465430298487 DOI: 10.3102/003465430298487 • Jarodzka, H., Holmqvist, K., & Gruber, H. (2017). Eye tracking in educational science: Theoretical frameworks and research agendas. Journal of Eye Movement Research, 10(1), 1–18. 10.16910/jemr.10.1.3 DOI: 10.16910/jemr.10.1.3 • Kostons, D., Van Gog, T., & Paas, F. (2009). How do I do? Investigating effects of expertise and performance-process records on self-assessment. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 23(9), 1256–1265. 10.1002/acp.1528 DOI: 10.1002/acp.1528 • Kostons, D., van Gog, T., & Paas, F. (2010). Self-assessment and task selection in learner-controlled instruction: Differences between effective and ineffective learners. Computers & Education, 54(4), 932–940. 10.1016/j.compedu.2009.09.025 DOI: 10.1016/j.compedu.2009.09.025 • Lipnevich, A. A., McCallen, L. N., Miles, K. P., & Smith, J. K. (2014). Mind the gap! Students’ use of exemplars and detailed rubrics as formative assessment. Instructional Science, 42(4), 539–559. 10.1007/s11251-013-9299-9 DOI: 10.1007/s11251-013-9299-9 • Lipnevich, A. A., Berg D. A., & Smith J. (2016). Toward a model of student response to feedback. In G. T. L. Brown & L. Harris (Eds.), Handbook of human and social conditions in assessment (pp. 169–185). Routledge. • Nicol, D. (2021). The power of internal feedback: Exploiting natural comparison processes. Assessment & Evaluation in Higher Education, 46(5), 756–778. 10.1080/02602938.2020.1823314 DOI: 10.1080/02602938.2020.1823314 • Panadero, E., Tapia, J. A., & Huertas, J. A. (2012). Rubrics and self-assessment scripts effects on self-regulation, learning and self-efficacy in secondary education. Learning and Individual Differences, 22(6), 806–813. 10.1016/j.lindif.2012.04.007 DOI: 10.1016/j.lindif.2012.04.007 • Panadero, E., Brown, G. T., & Strijbos, J. W. (2016). The future of student self-assessment: A review of known unknowns and potential directions. Educational Psychology Review, 28(4), 803–830. 10.1007/s10648-015-9350-2 DOI: 10.1007/s10648-015-9350-2 • Panadero, E., Fernández-Ruiz, J., & Sánchez-Iglesias, I. (2020). Secondary education students’ self-assessment: the effects of feedback, subject matter, year level, and gender. Assessment in Education: Principles, Policy & Practice, 1–28. 10.1080/0969594X.2020.1835823 • Raaijmakers, S. F., Baars, M., Paas, F., van Merriënboer, J. J., & van Gog, T. (2019). Effects of self-assessment feedback on self-assessment and task-selection accuracy. Metacognition and Learning, 1–22. 10.1007/s11409-019-09189-5 • Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189. 10.3102/0034654307313795 DOI: 10.3102/0034654307313795 • Tai, J., Ajjawi, R., Boud, D., Dawson, P., & Panadero, E. (2017). Developing evaluative judgement: Enabling students to make decisions about the quality of work. Higher Education. 10.1007/s10734-017-0220-3 • To, J., & Panadero, E. (2019). Peer assessment effects on the self-assessment process of firstyear undergraduates. Assessment & Evaluation in Higher Education, 44(6), 920–932. 10.1080/02602938.2018.1548559 DOI: 10.1080/02602938.2018.1548559 • Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research. Frontiers in Psychology, 10(3087). 10.3389/fpsyg.2019.03087 • Wollenschläger, M., Hattie, J., Machts, N., Möller, J., &; Harms, U. (2016). What makes rubrics effective in teacher-feedback? Transparency of learning goals is not enough. Contemporary Educational Psychology. https://doi.org/10.1016/j.cedpsych.2015.11.003 • Yan, Z. (2018). Student self-assessment practices: The role of gender, school level and goal orientation. Assessment in Education: Principles, Policy & Practice, 25(2), 183–199. 10.1080/0969594X.2016.1218324 DOI: 10.1080/0969594X.2016.1218324 • Yan, Z. (2019). Self-assessment in the process of self-regulated learning and its relationship with academic achievement. Assessment & Evaluation In Higher Education, 1–15. 10.1080/02602938.2019.1629390 • Yan, Z., & Brown, G. T. (2017). A cyclical self-assessment process: towards a model of how students engage in self-assessment. Assessment & Evaluation in Higher Education, 42(8), 1247–1262. 10.1080/02602938.2016.1260091 DOI: 10.1080/02602938.2016.1260091This study explores the effects of feedback type, feedback occasion, and year level on student self-assessments in higher education. In total, 126 university students participated in this randomized experiment under three experimental conditions (i.e., rubric feedback, instructor’s written feedback, and rubric feedback plus instructor’s written feedback). Participants, after random assignment to feedback condition, were video-recorded performing a self-assessment on a writing task both before and after receiving feedback. The quality of self-assessment strategies decreased after feedback of all kinds, but the number of strategies increased for the combined feedback condition. The number of self-assessment criteria increased for rubric and combined conditions, while feedback helped shift criteria use from basic to advanced criteria. Student year level was not systematically related to changes in self-assessment after feedback. In general, the combination of rubric and instructor’s feedback produced the best effects.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/University students’ strategies and criteria during self-assessment: instructor’s feedback, rubrics, and year level effectsjournal article1878-5174https://link.springer.com/article/10.1007/s10212-022-00639-4https://produccioncientifica.ucm.es/documentos/636708cb688cd71757e13fa2open access159.953.53783737.015.3Self-assessmentFeedback efectsRubricHigher educationAprendizajeEnseñanza universitariaEducaciónPsicología de la educación (Educación)5801 Teoría y Métodos Educativos6104.02 Métodos Educativos6104.01 Procesos Cognitivos