Percepción del profesorado universitario sobre la calidad de las tareas de evaluación de los resultados de aprendizaje

  1. Lukas Mujika, José-Francisco 1
  2. Ponce-González, Nicolás 2
  3. Rodríguez Gómez, Gregorio 2
  4. María Soledad Ibarra Saiz
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

  2. 2 Cátedra UNESCO en Evaluación, Innovación y Excelencia en Educación. Grupo de investigación EVALfor. Universidad de Cádiz. España
Revista:
Relieve: Revista ELectrónica de Investigación y EValuación Educativa

ISSN: 1134-4032

Any de publicació: 2023

Títol de l'exemplar: Education in Present Age / La educación en la era actual

Volum: 29

Número: 1

Tipus: Article

DOI: 10.30827/RELIEVE.V29I1.27404 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Relieve: Revista ELectrónica de Investigación y EValuación Educativa

Resum

对学习结果的评估需要在教学、评估及学习间实现建设性对齐，因此设计符合质量标准且能推动学生学习的评估任务就变得尤为重要。该研究的主要目的是分析大学教师对评估实践中的评估任务特点有哪些看法。研究遵循混合方法（探索性顺序法），使用RAPEVA问卷，教师对学习成果评估实践的自我反馈报告，得到来自西班牙各自治区6所公立大学共416名教师的意见。其中给学生提供信息的透明度和任务深度是教师观点中最突出的两个方面。相反，学生的反馈和参与是教师评估过程中考虑最少的两项内容。值得强调的还有来自不同大学的教师的态度差异、知识领域、对评估系统的安全感和满意值这几个因素。该研究的成果为未来的研究提供了方向，让我们对高等教育评估实践的理解更进一步。

Referències bibliogràfiques

  • Anderson, M. J. (2017). Permutational Multivariate Analysis of Variance (PERMANOVA). Wiley StatsRef: Statistics Reference Online, 1–15. https://doi.org/10.1002/9781118445112.stat07841
  • Bearman, M., Dawson, P., Boud, D., Bennett, S., Hall, M., & Molloy, E. (2016). Support for assessment practice: developing the Assessment Design Decisions Framework. Teaching in Higher Education, 21(5), 545–556. https://doi.org/10.1080/13562517.2016.1160217
  • Bearman, M., Dawson, P., Boud, D., Hall, M., Bennett, S., Molloy, E., & Joughin, G. (2014). Guide to the assessment design decisions framework. http://www.assessmentdecisions.org/guide/
  • Biggs, J., & Tang, C. (2011). Teaching for quality learning at university. What the students do (4th ed.). McGraw-HillSRHE & Open University Press.
  • Boud, D. (2020). Challenges in reforming higher education assessment: a perspective from afar. RELIEVE, 26(1), art. M3. https://doi.org/10.7203/relieve.26.1.17088
  • Boud, D. (2022). Assessment-as-learning for the development of students’ evaluative judgment. In Z. Yan & L. Yang (Eds.), Assessment as Learning. Maximizing Opportunities for Student Learning and Achievement (pp. 25–37). Routledge. https://doi.org/10.4324/9781003052081-3
  • Boud, D., & Dawson, P. (2021). What feedback literate teachers do: an empirically-derived competency framework. Assessment & Evaluation in Higher Education, April, 1–14. https://doi.org/10.1080/02602938.2021.19 10928
  • Carless, D. (2015). Exploring learning oriented assessment processes. Higher Education, 69(6), 963–976. https://doi.org/10.1007/s10734-014-9816-z
  • Carless, D. (2022). From teacher transmission of information to student feedback literacy: Activating the learner role in feedback processes. Active Learning in Higher Education, 23(2), 143–153. https://doi.org/10.1177/1469787420945845
  • Carless, D., & Boud, D. (2018). The development of student feedback literacy: enabling uptake of feedback. Assessment & Evaluation in Higher Education, 43(8), 1315–1325. https://doi.org/10.1080/02602938.2018.14 63354
  • Carless, D., & Winstone, N. (2020). Teacher feedback literacy and its interplay with student feedback literacy. Teaching in Higher Education, 1–14.https://doi.org/10.1080/13562517.2020.1782372
  • DeLuca, C., & Johnson, S. (2017). Developing assessment of capable teachers in this age of accountability. Assessment in Education: Principles, Policy and Practice, 24(2), 121–126. https://doi.org/10.1080/0969594X.2017.1297010
  • Falchikov, N. (2005). Improving assessment through student involvement. Practical solutions for aiding learning in higher education and further education. RoutledgeFalmer.
  • Falchikov, N., & Goldfinch, J. (2000). Student peer assessment in higher education: A Meta-analysis comparing peer and teacher marks. Review of Educational Research, 70(3), 287-322. https://doi.org/10.3102/00346543070003287
  • Gómez-Ruiz, M. Á., Ibarra-Sáiz, M. S., & Rodríguez-Gómez, G. (2020). Aprender a evaluar mediante juegos de simulación en educación superior: percepciones y posibilidades de transferencia para los estudiantes. Revista Iberoamericana de Evaluación Educativa, 13(1), 157–181. https://doi.org/10.15366/riee2020.13.1.007
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial Least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage. https://doi.org/10.1007/978-3-030-80519-7
  • Henderson, M., Boud, D., Molloy, E., Dawson, P., Phillips, M., Ryan, T., & Mahoney, P. (2018). Feedback for learning: Closing the assessment loop. Department of Education and Training. https://nla.gov.au/nla.obj-719788718/view
  • Henseler, J. (2021). Composite-based structural equation modeling. Analyzing latent and emergent variables. Guilford Press.
  • Hortigüela Alcalá, D., Palacios Picos, D., & López Pastor, V. (2019). The impact of formative and shared or co-assessment on the acquisition of transversal competencies in higher education. Education, 44(6), 933–945. https://doi.org/10.1080/02602938.2018.1530341
  • Ibarra-Sáiz, M. S., & Rodríguez-Gómez, G. (2020). Evaluando la evaluación. Validación mediante PLS-SEM de la escala ATAE para el análisis de las tareas de evaluación. RELIEVE, 26(1), art. M4. https://doi.org/10.7203/relieve.26.1.17403
  • Ibarra-Sáiz, M.S., & Rodríguez-Gómez, G. (2017). EvalCOMIX®: A web-based program to support collaboration in assessment. In T. Issa, P. Kommers, T. Issa, P. Isaías, & T. B. Issa (Eds.), Smart technology applications in business environments (pp. 249–275). IGI Global. https://doi.org/10.4018/978-1-5225-2492-2.ch012
  • Ibarra-Sáiz, M.S., Rodríguez-Gómez, G., & Boud, D. (2021). The quality of assessment tasks as a determinant of learning. Assessment & Evaluation in Higher Education, 46(6), 943–955. https://doi.org/10.1080/02602938.2020.1828268
  • Yuen Yi Lo; Constant Leung (2022). Conceptualizing assessment literacy of teachers in content and language integrated learning programs. International Journal of Bilingual Education and Bilingualism, 1–19. http://doi.org/10.30827/relieve.v29i1.27704
  • Ibarra-Sáiz, M.S., Rodríguez-Gómez, G., Lukas-Mujika, J.F., & Santos-Berrondo, A. (2023). Medios e instrumentos para evaluar los resultados de aprendizaje en másteres universitarios. Análisis de la percepción del profesorado sobre su práctica evaluativa. Educación XX1, 26(1), 21-45. https://doi.org/10.5944/educxx1.33443
  • JASP Team. (2022). JASP (Version 0.16.1). https://jasp-stats.org/
  • Johnson, R. L., & Morgan, G. B. (2016). Survey scales. A guide to development, analysis, and reporting. The Guilford Press.
  • Lipnevich, A. A., & Panadero, E. (2021). A Review of Feedback Models and Theories: Descriptions, Definitions, and Conclusions. Frontiers in Education, 6(December). https://doi.org/10.3389/feduc.2021.720195
  • López Gil, M., Gómez Ruiz, M. Á., Vázquez Recio, R., & Ruiz Romero, A. (2022). La pesadilla de la evaluación: Análisis de los sueños de estudiantes universitarios. Revista Iberoamericana de Evaluación Educativa, 15(1), 139–159. https://doi.org/10.15366/riee2022.15.1.008
  • Mehrabi Boshrabadi, A., & Hosseini, M. R. (2021). Designing collaborative problem-solving assessment tasks in engineering: an evaluative judgment perspective. Education, 46(6), 913–927. https://doi.org/10.1080/02602938.2020.1836122
  • Panadero, E., & Alqassab, M. (2019). An empirical review of anonymity effects in peer assessment, peer feedback, peer review, peer evaluation, and peer grading. Education, 44(8), 1253–1278. https://doi.org/10.1080/02602938.2019.1600186
  • Panadero, E., Fraile, J., & García-Pérez, D. (2022). Transición a educación superior y evaluación: un estudio longitudinal anual. Educación XX1, 25(2), 15–37. https://revistas.uned.es/index.php/educacio nXX1/article/view/29870
  • Panadero, E., Jonsson, A., & Botella, J. (2017). Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses. Educational Research Review, 22, 74–98. https://doi.org/10.1016/j.edurev.2017.08.0 04
  • Quesada-Serra, V., Gómez Ruiz, M. A., Gallego Noche, M. B., & Cubero-Ibáñez, J. (2019). Should I use co-assessment in higher education? Pros and cons from teachers' and students’ perspectives. Education, 44(7), 987-1002. https://doi.org/10.1080/02602938.2018.1531970
  • R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.r-project.org/
  • Rodríguez-Gómez, G., & Ibarra-Sáiz, M. S. (2015). Assessment as learning and empowerment: Toward sustainable learning in higher education. In M. PerisOrtiz & J. M. Merigó Lindahl (Eds.), Sustainable learning in higher education. Developing competencies for the global marketplace (pp. 1–20). Springer International Publishing. https://doi.org/10.1007/978-3-319-10804-9_1
  • Rodríguez-Gómez, G., & Ibarra-Sáiz, M. S. (2016). Towards sustainable assessment: ICT as a facilitator of self and peer assessment. In M. Peris-Ortiz, J. A. Gómez, F. Vélez-Torres, & C. RuedaArmengot (Eds.), Education tools for entrepreneurship (pp. 55–71). Springer International Publishing. https://doi.org/10.1007/978-3-319-24657-4_5
  • Sambell, K., McDowell, L., & Montgomery, C. (2013). Assessment for Learning in Higher Education. Routledge. https://doi.org/10.4324/9780203818268
  • Tai, J., Ajjawi, R., Boud, D., Dawson, P., & Panadero, E. (2018). Developing evaluative judgment: enabling students to make decisions about the quality of work. Higher Education, 76(3), 467–481. https://doi.org/10.1007/s10734-017-0220-3
  • Yan, Z., & Boud, D. (2022). Conceptualizing assessment-as-learning. In Z. Yan & L. Yang (Eds.), Assessment as learning. Maximizing opportunities for student learning and achievement (pp. 11–24). Routledge. https://doi.org/10.4324/9781003052081-2
Fuente de los datos: Dialnet