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The Future of Student Self-Assessment: a Review of Known Unknowns and Potential Directions

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Abstract

This paper reviews current known issues in student self-assessment (SSA) and identifies five topics that need further research: (1) SSA typologies, (2) accuracy, (3) role of expertise, (4) SSA and teacher/curricular expectations, and (5) effects of SSA for different students. Five SSA typologies were identified showing that there are different conceptions on the SSA components but the field still uses SSA quite uniformly. A significant amount of research has been devoted to SSA accuracy, and there is a great deal we know about it. Factors that influence accuracy and implications for teaching are examined, with consideration that students’ expertise on the task at hand might be an important prerequisite for accurate self-assessment. Additionally, the idea that SSA should also consider the students’ expectations about their learning is reflected upon. Finally, we explored how SSA works for different types of students and the challenges of helping lower performers. This paper sheds light on SSA research needs to address the known unknowns in this field.

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References

  • Alonso-Tapia, J., & Panadero, E. (2010). Effect of self-assessment scripts on self-regulation and learning. Infancia y Aprendizaje: Journal for the Study of Education and Development, 33(3), 385–397. doi:10.1174/021037010792215145.

    Article  Google Scholar 

  • Alonso-Tapia, J., & Pardo, A. (2006). Assessment of learning environment motivational quality from the point of view of secondary and high school learners. Learning and Instruction, 16(4), 295–309. doi:10.1016/j.learninstruc.2006.07.002.

    Article  Google Scholar 

  • American Educational Research Association (AERA), American Psychological Association (APA), & National Council for Measurement in Education (NCME). (1999). Standards for educational & psychological testing. Washington: American Educational Research Association.

    Google Scholar 

  • Andrade, H. L. (2010). Students as the definitive source of formative assessment: academic self-assessment and the self-regulation of learning. In H. L. Andrade & G. J. Cizek (Eds.), Handbook of formative assessment (pp. 90–105). New York: Routledge.

    Google Scholar 

  • Andrade, H., & Du, Y. (2005). Student perspectives on rubric-referenced assessment. Practical Assessment, Research & Evaluation, 10(3), 1-11. Retrieved from http://pareonline.net/getvn.asp?v=10&n=3

  • Andrade, H., & Valtcheva, A. (2009). Promoting learning and achievement through self-assessment. Theory Into Practice, 48(1), 12–19. doi:10.1080/00405840802577544.

    Article  Google Scholar 

  • Andrade, H., Wang, X. L., Du, Y., & Akawi, R. L. (2009). Rubric-referenced self-assessment and self-efficacy for writing. Journal of Educational Research, 102(4), 287–301.

    Article  Google Scholar 

  • Andrade, H., Du, Y., & Mycek, K. (2010). Rubric-referenced self-assessment and middle school students’ writing. Assessment in Education: Principles, Policy & Practice, 17(2), 199–214. doi:10.1080/09695941003696172.

    Article  Google Scholar 

  • Baars, M., Vink, S., van Gog, T., de Bruin, A., & Paas, F. (2014). Effects of training self-assessment and using assessment standards on retrospective and prospective monitoring of problem solving. Learning & Instruction, 33, 92–107. doi:10.1016/j.learninstruc.2014.04.004.

    Article  Google Scholar 

  • Baumeister, R. F., Alquist, J. L., & Vohs, K. D. (2015). Illusions of learning: irrelevant emotions inflate judgments of learning. Journal of Behavioral Decision Making, 28(2), 149–158. doi:10.1002/bdm.1836.

    Article  Google Scholar 

  • Berry, R. (2011). Assessment reforms around the world. In R. Berry & B. Adamson (Eds.), Assessment reform in education: policy and practice (pp. 89–102). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy and Practice, 5(1), 7–73. doi:10.1080/0969595980050102.

    Article  Google Scholar 

  • Boekaerts, M. (2011). Emotions, emotion regulation, and self-regulation of learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 408–425). New York: Routledge.

    Google Scholar 

  • Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: a perspective on assessment and intervention. Applied Psychology, 54(2), 199–231. doi:10.1111/j.1464-0597.2005.00205.x.

    Article  Google Scholar 

  • Boud, D., & Brew, A. (1995). Developing a typology for learner self-assessment practices. Research and Development in Higher Education, 18, 130–135.

    Google Scholar 

  • 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. doi:10.1007/BF00138746.

    Article  Google Scholar 

  • Boud, D., Lawson, R., & Thompson, D. G. (2013). Does student engagement in self-assessment calibrate their judgement over time? Assessment & Evaluation In Higher Education, 38(8), 941–956. doi:10.1080/02602938.2013.769198.

    Article  Google Scholar 

  • Boud, D., Lawson, R., & Thompson, D. G. (2015). The calibration of student judgment through self-assessment: disruptive effects of assessment patterns. Higher Education Research & Development, 34(1), 45–59. doi:10.1080/07294360.2014.934328.

    Article  Google Scholar 

  • Bourke, R. (2014). Self-assessment in professional programmes within tertiary institutions. Teaching in Higher Education, 19(8), 908–918. doi:10.1080/13562517.2014.934353.

    Article  Google Scholar 

  • Brennan, R. L. (Ed.). (2006). Educational measurement. Westport: Praeger.

    Google Scholar 

  • 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). Thousand Oaks: Sage.

    Chapter  Google Scholar 

  • 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. doi:10.14786/flr.v2i1.24.

    Google Scholar 

  • Brown, G. T. L., Irving, S. E., Peterson, E. R., & Hirschfeld, G. H. F. (2009a). Use of interactive–informal assessment practices: New Zealand secondary students’ conceptions of assessment. Learning and Instruction, 19(2), 97–111. doi:10.1016/j.learninstruc.2008.02.003.

    Article  Google Scholar 

  • Brown, G. T. L., Peterson, E. R., & Irving, S. E. (2009b). Beliefs that make a difference: adaptive and maladaptive self-regulation in students’ conceptions of assessment. In D. M. McInerney, G. T. L. Brown, & G. A. D. Liem (Eds.), Student perspectives on assessment: what students can tell us about assessment for learning (pp. 159–186). Charlotte: Information Age Publishing.

    Google Scholar 

  • Brown, G. T. L., Andrade, H. L., & Chen, F. (2015). Accuracy in student self-assessment: directions and cautions for research. Assessment in Education: Principles, Policy and Practice. doi:10.1080/0969594X.2014.996523.

    Google Scholar 

  • Butler, R. (2011). Are positive illusions about academic competence always adaptive, under all circumstances: new results and future directions. International Journal of Educational Research, 50(4), 251–256. doi:10.1016/j.ijer.2011.08.006.

    Article  Google Scholar 

  • Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: a theoretical synthesis. Review of Educational Research, 65(3), 245–281. doi:10.3102/00346543065003245.

    Article  Google Scholar 

  • Cao, L., & Nietfeld, L. J. (2005). Judgment of learning, monitoring accuracy, and student performance in the classroom context. Current Issues in Education, 8(4). Retrieved from http://cie.ed.asu.edu/volume8/number4/

  • Connell, J. P., & Ilardi, B. C. (1987). Self-system concomitants of discrepancies between children’s and teachers’ evaluations of academic competence. Child Development, 58(5), 1297–1307. doi:10.2307/1130622.

    Article  Google Scholar 

  • Cowie, B. (2009). My teacher and my friends helped me learn: student perceptions and experiences of classroom assessment. In D. M. McInerney, G. T. L. Brown, & G. A. D. Liem (Eds.), Student perspectives on assessment: What students can tell us about assessment for learning (pp. 85–105). Charlotte: Information Age Publishing.

    Google Scholar 

  • Dinsmore, D. L., & Wilson, H. E. (2015). Student participation in assessment: does it influence self-regulation? In G. T. L. Brown & L. R. Harris (Eds.), Handbook of human and social factors in assessment (pp. 1–43). New York: Routledge.

    Google Scholar 

  • Dochy, F., Segers, M., & Sluijsmans, D. (1999). The use of self-, peer- and co-assessment in higher education. A review. Studies in Higher Education, 24(3), 331–350. doi:10.1080/03075079912331379935.

    Article  Google Scholar 

  • Dunlosky, J., & Nelson, T. O. (1994). Does the sensitivity of Judgments of Learning (JOL) to the effects of various study activities depend on when the JOLs occur? Journal of Memory and Language, 33, 545–565. doi:10.1006/jmla.1994.1026.

    Article  Google Scholar 

  • Dunning, D., Johnson, K., Ehrlinger, J., & Kruger, J. (2003). Why people fail to recognize their own incompetence. Current Directions in Psychological Science, 12(3), 83–87. doi:10.1111/1467-8721.01235.

    Article  Google Scholar 

  • Dunning, D., Heath, C., & Suls, J. M. (2004). Flawed self-assessment: implications for health, education, and the workplace. Psychological Science in the Public Interest, 5(3), 69–106. doi:10.1111/j.1529-1006.2004.00018.x.

    Article  Google Scholar 

  • Fabriz, S., Dignath-van Ewijk, C., Poarch, G., & Büttner, G. (2013). Fostering self-monitoring of university students by means of a standardized learning journal—a longitudinal study with process analyses. European Journal of Psychology of Education, 1-17. doi:10.1007/s10212-013-0196-z.

  • Falchikov, N., & Boud, D. (1989). Student self-assessment in higher education: a meta-analysis. Review of Educational Research, 59(4), 395–430. doi:10.3102/00346543059004395.

    Article  Google Scholar 

  • Finn, B., & Metcalfe, J. (2014). Overconfidence in children’s multi-trial judgments of learning. Learning & Instruction, 32, 1–9. doi:10.1016/j.learninstruc.2014.01.001.

    Article  Google Scholar 

  • Gao, M. (2009). Students’ voices in school-based assessment of Hong Kong: a case study. In D. M. McInerney, G. T. L. Brown, & G. A. D. Liem (Eds.), Student perspectives on assessment: What students can tell us about assessment for learning (pp. 107–130). Charlotte: Information Age Publishing.

    Google Scholar 

  • Geisinger, K. F. (Ed.). (2010). APA handbook of testing and assessment in psychology. Washington: APA.

    Google Scholar 

  • Glaser, C., Kessler, C., Palm, D., & Brunstein, J. C. (2010). Improving fourth graders’ self-regulated writing skills: specialized and shared effects of process-oriented and outcome-related self-regulation procedures on students’ task performance, strategy use, and self-evaluation. Zeitschrift Fur Padagogische Psychologie, 24(3-4), 177–190.

    Article  Google Scholar 

  • Goodrich, H. W. (1996). Student self-assessment: at the intersection of metacognition and authentic assessment. (57). USA: ProQuest Information & Learning.

    Google Scholar 

  • Goodrich Andrade, H., & Boulay, B. A. (2003). Role of rubric-referenced self-assessment in learning to write. The Journal of Educational Research, 97(1), 21–34. doi:10.1080/00220670309596625.

    Article  Google Scholar 

  • Griffiths, M., & Davies, C. (1993). Learning to learn: action research from an equal opportunities perspective in a junior school. British Educational Research Journal, 19(1), 43–58. doi:10.1080/0141192930190104.

    Article  Google Scholar 

  • Hadwin, A. F., & Webster, E. A. (2013). Calibration in goal setting: examining the nature of judgments of confidence. Learning & Instruction, 24, 37–47. doi:10.1016/j.learninstruc.2012.10.001.

    Article  Google Scholar 

  • Harris, L. R., & Brown, G. T. L. (2013). Opportunities and obstacles to consider when using peer- and self-assessment to improve student learning: Case studies into teachers' implementation. Teaching and Teacher Education, 36, 101–111. doi:10.1016/j.tate.2013.07.008.

  • Hattie, J. (2009). Visible learning: a synthesis of meta-analyses in education. London: Routledge.

    Google Scholar 

  • Hattie, J. (2013). Calibration and confidence: where to next? Learning & Instruction, 24, 62–66. doi:10.1016/j.learninstruc.2012.05.009.

    Article  Google Scholar 

  • Hattie, J. A., & Brown, G. T. L. (2010). Assessment and evaluation. In C. Rubie-Davies (Ed.), Educational psychology: concepts, research and challenges (pp. 102–117). Abingdon: Routledge.

    Google Scholar 

  • Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. doi:10.3102/003465430298487.

    Article  Google Scholar 

  • Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2-3), 61–83. doi:10.1017/S0140525X0999152X.

    Article  Google Scholar 

  • Joint Committee on Standards for Educational Evaluation. (2003). The student evaluation standards: how to improve evaluations of students. Thousand Oaks: Corwin Press.

    Google Scholar 

  • Kahneman, D. (2011). Thinking, fast and slow. London: Penguin Books.

    Google Scholar 

  • Kane, M. T. (2006). Validation. In R. L. Brennan (Ed.), Educational measurement (4th ed., pp. 17–64). Westport: Praeger.

    Google Scholar 

  • Kirby, N. F., & Downs, C. T. (2007). Self-assessment and the disadvantaged student: Potential for encouraging self-regulated learning? Assessment & Evaluation in Higher Education, 32(4), 475–494. doi:10.1080/02602930600896464.

    Article  Google Scholar 

  • Koriat, A., Sheffer, L., & Ma’ayan, H. (2002). Comparing objective and subjective learning curves: judgments of learning exhibit increased underconfidence with practice. Journal of Experimental Psychology. General, 131(2), 147–162. doi:10.1037//0096-3445.131.2.147.

    Article  Google Scholar 

  • Kostons, D. (2010). On the role of self‐assessment and task‐selection skills in self‐regulated learning. Open University.

  • 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, 23(9), 1256–1265. doi:10.1002/acp.1528.

    Article  Google Scholar 

  • Kostons, D., van Gog, T., & Paas, F. (2012). Training self-assessment and task-selection skills: a cognitive approach to improving self-regulated learning. Learning and Instruction, 22(2), 121–132. doi:10.1016/j.learninstruc.2011.08.004.

    Article  Google Scholar 

  • Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121–1134. doi:10.1037/0022-3514.77.6.1121.

    Article  Google Scholar 

  • Lan, W. Y. (1998). Teaching self-monitoring skills in statistics. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-regulated learning: from teaching to self-reflective practice (pp. 86–105). New York: Guilford Press.

    Google Scholar 

  • Leach, L. (2012). Optional self-assessment: some tensions and dilemmas. Assessment & Evaluation in Higher Education, 37(2), 137–147. doi:10.1080/02602938.2010.515013.

    Article  Google Scholar 

  • Ley, K., & Young, D. (2001). Instructional principles for self-regulation. Educational Technology Research and Development, 49(2), 93–103. doi:10.1007/BF02504930.

    Article  Google Scholar 

  • Lindblom-Ylänne, S., Pihlajamäki, H., & Kotkas, T. (2006). Self-, peer- and teacher-assessment of student essays. Active Learning in Higher Education, 7(1), 51–62. doi:10.1177/1469787406061148.

    Article  Google Scholar 

  • Maul, A., Torres Irribarra, D., & Wilson, M. (2015). On the philosophical foundations of psychological measurement. Measurement. doi:10.1016/j.measurement.2015.11.001.

    Google Scholar 

  • McMillan, J. H., & Hearn, J. (2008). Student self-assessment: the key to stronger student motivation and higher achievement. Educational Horizons, 87, 40–49.

    Google Scholar 

  • Meeter, M., & Nelson, T. O. (2003). Multiple study trials and judgments of learning. Acta Psychologica, 113, 123–132. doi:10.1016/S0001-6918(03)00023-4.

    Article  Google Scholar 

  • Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational measurement (Vol 3) (pp. 13–103). Old Tappan: MacMillan.

    Google Scholar 

  • Munns, G., & Woodward, H. (2006). Student engagement and student self-assessment: the REAL Framework. Assessment in Education: Principles, Policy and Practice, 13(2), 193–213. doi:10.1080/09695940600703969.

    Article  Google Scholar 

  • Narciss, S. (2008). Feedback strategies for interactive learning tasks. In J. M. Spector, M. D. Merrill, J. J. G. van Merriënboer, & M. P. Driscoll (Eds.), Handbook of research on educational communications and technology (3rd ed., pp. 125–143). Mahwah: Erlbaum.

    Google Scholar 

  • Nelson, T. O., & Dunlosky, J. (1991). When people’s judgments of learning (JOLs) are extremely accurate at predicting subsequent recall: the “delayed-JOL effect”. Psychological Science, 2(4), 267–270. doi:10.1111/j.1467-9280.1991.tb00147.x.

    Article  Google Scholar 

  • Nicol, D., & McFarlane-Dick, D. (2006). Formative assessment and self-regulated learning, a model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199–218. doi:10.1080/03075070600572090.

    Article  Google Scholar 

  • Olina, Z., & Sullivan, H. J. (2002). Effects of classroom evaluation strategies on student achievement and attitudes. Educational Technology Research and Development, 50(3), 61–75. doi:10.1007/BF02505025.

    Article  Google Scholar 

  • Olina, Z., & Sullivan, H. J. (2004). Student self-evaluation, teacher evaluation, and learner performance. Educational Technology Research and Development, 52(3), 5–22. doi:10.1007/BF02504672.

    Article  Google Scholar 

  • Orsmond, P., Merry, S., & Reiling, K. (2000). The use of student derived marking criteria in peer and self-assessment. Assessment & Evaluation in Higher Education, 25(1), 23–38. doi:10.1080/02602930050025006.

    Article  Google Scholar 

  • Otunuku, M., & Brown, G. T. L. (2007). Tongan students’ attitudes towards their subjects in New Zealand relative to their academic achievement. Asia Pacific Education Review, 8(1), 117–128. doi:10.1007/BF03025838.

    Article  Google Scholar 

  • Panadero, E. (2011). Instructional help for self-assessment and self-regulation: evaluation of the efficacy of self-assessment scripts vs. rubrics. (Ph.D.), Universidad Autónoma de Madrid, Spain.

  • Panadero, E., & Alonso-Tapia, J. (2013). Self-assessment: Theoretical and practical connotations. When it happens, how is it acquired and what to do to develop it in our students. Electronic Journal of Research in Educational Psychology, 11(2), 551–576. doi:10.14204/ejrep.30.12200.

    Article  Google Scholar 

  • Panadero, E., & Jonsson, A. (2013). The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129–144. doi:10.1016/j.edurev.2013.01.002.

  • Panadero, E., & Alonso-Tapia, J. (2014). How do students self-regulate? Review of Zimmerman’s cyclical model of self-regulated learning. Anales De Psicologia, 30(2), 450–462. doi:10.6018/analesps.30.2.167221.

    Google Scholar 

  • Panadero, E., & Romero, M. (2014). To rubric or not to rubric? The effects of self-assessment on self-regulation, performance and self-efficacy. Assessment in Education: Principles, Policy & Practice, 21(2), 133–148. doi:10.1080/0969594X.2013.877872.

    Article  Google Scholar 

  • Panadero, E., Alonso-Tapia, J., & 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. doi:10.1016/j.lindif.2012.04.007.

    Article  Google Scholar 

  • Panadero, E., Alonso-Tapia, J., & Reche, E. (2013a). Rubrics vs. self-assessment scripts effect on self-regulation, performance and self-efficacy in pre-service teachers. Studies in Educational Evaluation, 39(3), 125–132. doi:10.1016/j.stueduc.2013.04.001.

    Article  Google Scholar 

  • Panadero, E., Romero, M., & Strijbos, J. W. (2013b). The impact of a rubric and friendship on construct validity of peer assessment, perceived fairness and comfort, and performance. Studies in Educational Evaluation, 39(4), 195–203. doi:10.1016/j.stueduc.2013.10.005.

    Article  Google Scholar 

  • Panadero, E., Alonso-Tapia, J., & Huertas, J. A. (2014a). Rubrics vs. self-assessment scripts: effects on first year university students’ self-regulation and performance. Infancia y Aprendizaje: Journal for the Study of Education and Development, 37(1), 149–183. doi:10.1080/02103702.2014.881655.

    Article  Google Scholar 

  • Panadero, E., Brown, G. T. L., & Courtney, M. G. R. (2014b). Teachers’ reasons for using self-assessment: a survey self-report of Spanish teachers. Assessment in Education: Principles, Policy & Practice, 21(3), 365–383. doi:10.1080/0969594X.2014.919247.

    Article  Google Scholar 

  • Panadero, E., Jonsson, A., & Strijbos, J. W. (2016). Scaffolding self-regulated learning through self-assessment and peer assessment: guidelines for classroom implementation. In D. Laveault & L. Allal (Eds.), Assessment for learning: Meeting the challenge of implementation (pages to be assigned). Boston: Springer.

    Google Scholar 

  • Panadero, E., Klug, J., & Järvelä, S. (2015). Third wave of measurement in the self-regulated learning field: When measurement and intervention come hand in hand. Scandinavian Journal of Educational Research. doi:10.1080/00313831.2015.1066436.

  • Paris, S. G., & Newman, R. S. (1990). Developmental aspects of self-regulated learning. Educational Psychologist, 25(1), 87–102. doi:10.1207/s15326985ep2501_7.

    Article  Google Scholar 

  • Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89–101. doi:10.1207/S15326985EP3602_4.

    Article  Google Scholar 

  • Peterson, E. R., & Irving, S. E. (2008). Secondary school students’ conceptions of assessment and feedback. Learning and Instruction, 18(3), 238–250. doi:10.1016/j.learninstruc.2007.05.001.

    Article  Google Scholar 

  • Plass, J. L., Moreno, R., & Brünken, R. (2010). Cognitive load theory. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Raider-Roth, M. B. (2005). Trusting what you know: negotiating the relational context of classroom life. Teachers College Record, 107(4), 587–628.

    Google Scholar 

  • Ramdass, D., & Zimmerman, B. J. (2008). Effects of self-correction strategy training on middle school students’ self-efficacy, self-evaluation, and mathematics division learning. Journal of Advanced Academics, 20(1), 18–41. doi:10.4219/jaa-2008-869.

    Google Scholar 

  • Reitmeier, C. A., & Vrchota, D. A. (2009). Self-assessment of oral communication presentations in food science and nutrition. Journal of Food Science Education, 8(4), 88–92. doi:10.1111/j.1541-4329.2009.00080.x.

    Article  Google Scholar 

  • Roeser, R. W., Peck, S. C., & Nasir, N. S. (2006). Self and identity processes in school motivation, learning, and achievement. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (pp. 391–424). New York: Lawrence Erlbaum Associates.

    Google Scholar 

  • Ross, J. A. (2006). The reliability, validity, and utility of self-assessment. Practical Assessment Research & Evaluation, 11. Retrieved from http://pareonline.net/getvn.asp?v=11&n=10

  • Ross, J. A., Rolheiser, C., & Hogaboam-Gray, A. (1999). Effects of self-evaluation training on narrative writing. Assessing Writing, 6(1), 107–132. doi:10.1016/S1075-2935(99)00003-3.

    Article  Google Scholar 

  • Sadler, D. R. (1989). Formative assessment and the design of instructional systems. Instructional Science, 18(2), 119–144. doi:10.1007/bf00117714.

    Article  Google Scholar 

  • Sadler, P. M., & Good, E. (2006). The impact of self- and peer-grading on student learning. Educational Assessment, 11(1), 1–31. doi:10.1207/s15326977ea1101_1.

    Article  Google Scholar 

  • Schunk, D. H. (1996). Goal and self-evaluative influences during children’s cognitive skill learning. American Educational Research Journal, 33(2), 359–382. doi:10.2307/1163289.

    Article  Google Scholar 

  • Scriven, M. (1991). Beyond formative and summative evaluation. In M. W. McLaughlin & D. C. Phillips (Eds.), Evaluation & education: at quarter century (Vol. 90, Part II) (pp. 19–64). Chicago: NSSE.

    Google Scholar 

  • Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. New York: Houghton Mifflin Company.

    Google Scholar 

  • Sitzmann, T., & Ely, K. (2011). A meta-analysis of self-regulated learning in work-related training and educational attainment: what we know and where we need to go. Psychological Bulletin, 137(3), 421–442. doi:10.1037/a0022777.

    Article  Google Scholar 

  • Sitzmann, T., & Johnson, S. K. (2012). When is ignorance bliss? The effects of inaccurate self-assessments of knowledge on learning and attrition. Organizational Behavior and Human Decision Processes, 117(1), 192–207. doi:10.1016/j.obhdp.2011.11.004.

    Article  Google Scholar 

  • Sitzmann, T., Ely, K., Brown, K. G., & Bauer, K. N. (2010). Self-assessment of knowledge: a cognitive learning or affective measure? Academy of Management Learning & Education, 9(2), 169–191.

    Article  Google Scholar 

  • Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.

    Book  Google Scholar 

  • Tan, K. H. K. (2001). Conceptions of student self-assessment. Unpublished PhD Thesis Confirmation Paper. University of Technology, Sydney.

  • Tan, K. H. K. (2012a). Student self-assessment. Assessment, learning and empowerment. Singapore: Research Publishing.

    Google Scholar 

  • Tan, K. H. K. (2012b). Student self-assessment in terms of assessment. Student self-assessment. Assessment, learning and empowerment (pp. 15–28). Singapore: Research Publishing.

  • Taras, M. (2003). To feedback or not to feedback in student self-assessment. Assessment & Higher Education, 28(5), 549–565. doi:10.1080/02602930301678.

    Article  Google Scholar 

  • Taras, M. (2010). Student self-assessment: processes and consequences. Teaching in Higher Education, 15(2), 199–209. doi:10.1080/13562511003620027.

    Article  Google Scholar 

  • Taras, M. (2015). Situating power potentials and dynamics of learners and tutors within self-assessment models. Journal of Further and Higher Education, 1-18. doi:10.1080/0309877X.2014.1000283

  • Thiede, K. W., & Dunlosky, J. (1999). Toward a general model of self-regulated study: an analysis of selection of items for study and self-paced study time. Journal of Experimental Psychology. Learning, Memory, and Cognition, 25(4), 1024–1037. doi:10.1037/0278-7393.25.4.1024.

    Article  Google Scholar 

  • Topping, K. J. (2003). Self and peer assessment in school and university: reliability, validity and utility. In M. Segers, F. Dochy, & E. Cascallar (Eds.), Optimising new modes of assessment: in search of qualities and standards Vol. 1 (pp. 55–87). Netherlands: Springer.

    Chapter  Google Scholar 

  • Van Loon, M. H., De Bruin, A. B. H., Van Gog, T., & Van Merriënboer, J. J. G. (2013). Activation of inaccurate prior knowledge affects primary-school students’ metacognitive judgments and calibration. Learning & Instruction, 24, 15–25. doi:10.1016/j.learninstruc.2012.08.005.

    Article  Google Scholar 

  • Vancouver, J. B., & Day, D. V. (2005). Industrial and organisation research on self-regulation: from constructs to applications. Applied Psychology-an International Review-Psychologie Appliquee-Revue Internationale, 54(2), 155–185. doi:10.1111/j.1464-0597.2005.00202.x.

    Article  Google Scholar 

  • Ward, M., Gruppen, L., & Regehr, G. (2002). Measuring self-assessment: current state of the art. Advances in Health Sciences Education, 7(1), 63–81. doi:10.1023/A:1014585522084.

    Article  Google Scholar 

  • Wells, L., & Sweeney, P. D. (1986). A test of three models of bias in self-assessment. Social Psychology Quarterly, 49(1), 1–10. doi:10.2307/2786852.

    Article  Google Scholar 

  • Winne, P. H. (2011). A cognitive and metacognitive analysis of self-regulated learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 15–32). New York: Routledge.

    Google Scholar 

  • Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329–339. doi:10.1037/0022-0663.81.3.329.

    Article  Google Scholar 

  • Zimmerman, B. J. (2000). Attaining self-regulation: a social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–40). San Diego: Academic Press.

    Chapter  Google Scholar 

  • Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 299–315). New York: Routledge.

    Google Scholar 

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Acknowledgments

This position paper/ reflection would not have been possible without the ideas we exchanged with some of our colleagues (especially in a symposium on self-assessment at the EARLI 2013 conference). We would like to thank David Boud, David Carless, Filip Dochy, Kelvin Tan, and Maddalena Taras for their participation and contribution to the symposium on self-assessment that lead to this article. First author would like to also thank to Liria Fernandez for helping him to self-assess in the most important subject: life.

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Correspondence to Ernesto Panadero.

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First author funding via Ramón y Cajal program by the Spanish Ministerio de Economía y Competitividad (Referencia: RYC-2013-13469) is acknowledged.

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Panadero, E., Brown, G.T. & Strijbos, JW. The Future of Student Self-Assessment: a Review of Known Unknowns and Potential Directions. Educ Psychol Rev 28, 803–830 (2016). https://doi.org/10.1007/s10648-015-9350-2

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