Skip to main content
Log in

Assessment of learning strategies: self-report questionnaire or learning task

  • Published:
European Journal of Psychology of Education Aims and scope Submit manuscript

Abstract

Two types of assessment instruments were developed to assess middle school students’ learning strategies, and their effectiveness in predicting various learning outcomes was examined. The participants were 565 middle school students. Three subscales (rehearsal, organization, elaboration) from the Motivated Strategies for Learning Questionnaire (Pintrich et al. 1991) formed a unique Learning Strategy scale. Memorization strategies (rehearsal and organization) were assessed with a specific learning task (memorizing word list). Math and language skills, assessed in Grade 7 and Grade 8, were used as outcome measures. The reported use of learning strategies, measured by Learning Strategy scale, was not related to any learning outcomes. In contrast, students who used memorization or organization during learning task differed in all outcomes. Results indicate a serious need to consider which assessment methods will be used in middle school. In the future, self-report questionnaires could benefit from subject-specific and more concrete descriptions of tasks. Meanwhile, we advise using questionnaire and cognitive behavioral learning task methods concurrently to assess learning strategies of middle school students.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alexander, J., & Schwanenflugel, P. (1994). Strategy regulation: the role of intelligence, metacognitive attributions, and knowledge base. Developmental Psychology, 30, 709–723.

    Article  Google Scholar 

  • Alexander, P., Sperl, C., Buehl, M., Fives, H., & Chiu, S. (2004). Modeling domain learning: profiles from the field of special education. Journal of Educational Psychology, 96, 545–557.

    Article  Google Scholar 

  • Berger, J.-L., & Karabenick, S. (2011). Motivation and students’ use of learning strategies: evidence of unidirectional effects in mathematics classrooms. Learning and Instruction, 21, 416–428.

    Article  Google Scholar 

  • Bjorklund, D. F., Ornstein, P. A., & Haig, J. R. (1977). Developmental differences in organization and recall: training in the use of organizational techniques. Developmental Psychology, 13, 175–183.

    Article  Google Scholar 

  • Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: a perspective on assessment and intervention. Applied Psychology: An International Review, 54, 199–231.

    Article  Google Scholar 

  • Bråten, I., & Samuelstuen, M. (2004). Does the influence of reading purpose on reports of strategic text processing depend on students’ topic knowledge? Journal of Educational Psychology, 96, 324–336.

    Article  Google Scholar 

  • Bråten, I., & Strømsø, H. (2011). Measuring strategic processing when students read multiple texts. Metacognition and Learning, 6, 111–130.

    Article  Google Scholar 

  • Broekkamp, H., & Van Hout-Wolters, B. (2007). Students’ adaptation of study strategies when preparing for classroom tests. Educational Psychology Review, 19, 401–428.

    Article  Google Scholar 

  • Credé, M., & Phillips, L. (2011). A metaanalytic review of the Motivated Strategies for Learning Questionnaire. Learning and Individual Differences, 21, 337–346.

    Article  Google Scholar 

  • Dinsmore, D., Alexander, P., & Loughlin, S. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20, 391–409.

    Article  Google Scholar 

  • Duncan, T., & McKeachie, W. (2005). The making of the Motivated Strategies for Learning Questionnaire. Educational Psychologist, 40, 117–128.

    Article  Google Scholar 

  • Eshel, Y., & Kohavi, R. (2003). Perceived classroom control, self-regulated learning strategies, and academic achievement. Educational Psychology, 23, 49–260.

    Article  Google Scholar 

  • European Parliament and the Council (2006). Recommendation of the European Parliament and of the Council of 18 December 2006 on key competences for lifelong learning. Retrieved June 18, 2015, from http://www.atee1.org/uploads/EUpolicies/key_competences_for_lll_final_dec2006.pdf

  • Gaskill, P., & Murphy, P. (2004). Effects of a memory strategy on second-graders’ performance and self-efficacy. Contemporary Educational Psychology, 29, 27–49.

    Article  Google Scholar 

  • Hadwin, A., Winne, P., Stockley, D., Nesbit, J., & Woszczyna, C. (2001). Context moderates students’ self-reports about how they study. Journal of Educational Psychology, 93, 477–487.

    Article  Google Scholar 

  • Hamman, D., Berthelot, J., Saia, J., & Crowley, E. (2000). Teachers’ coaching of learning and its relation to students’ strategic learning. Journal of Educational Psychology, 92, 342–348.

    Article  Google Scholar 

  • Hattie, J., Biggs, J., & Purdie, N. (1996). Effects of learning skills interventions on student learning: a meta-analysis. Review of Educational Research, 66, 99–136.

    Article  Google Scholar 

  • Hong, E., Sas, M., & Sas, J. C. (2006). Test-taking strategies of high and low mathematics achievers. Journal of Educational Research, 99, 144–155.

    Article  Google Scholar 

  • Kikas, E. (2006). School Psychology in Estonia. In S. Jimerson, T. Oakland, & P. Farrell (Eds.), The handbook of international school psychology (pp. 91–102). Thousand Oaks, CA: SAGE Publications.

    Google Scholar 

  • Kikas, E., Männamaa, M., Kumari, V., & Ulst, T. (2008). The relationships among verbal skills of primary school students with specific learning disabilities and a normal comparison group. International Journal of Disability, Development and Education, 55, 315–329.

    Article  Google Scholar 

  • Lei, P.-W., Wu, Q. (2007). Structural equation modeling: issues and practical considerations. Educational Measurement: Issues and Practice, 26, 33-43-

  • Liu, O. (2009). Evaluation of a learning strategies scale for middle school students. Journal of Psychoeducational Assessment, 27, 312–322.

    Article  Google Scholar 

  • Murayama, K., Pekrun, R., Lichtenfeld, S., & vom Hofe, R. (2013). Predicting long‐term growth in students’ mathematics achievement: the unique contributions of motivation and cognitive strategies. Child Development, 84, 1475–1490.

    Article  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (1998–2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.

  • Neber, H., & Heller, K. (2002). Evaluation of a summer-school program for highly gifted secondary-school students: the German Pupils Academy. European Journal of Psychological Assessment, 18, 214–228.

    Article  Google Scholar 

  • Nisbett, R., & Wilson, T. (1977). Telling more than we can know: verbal reports on mental processes. Psychological Review, 84, 231–259.

    Article  Google Scholar 

  • Ornstein, P., Coffman, J., Grammer, J., San Souci, P., & McCall, L. (2010). Linking the classroom context and the development of children’s memory skills. In J. Meece & J. Eccles (Eds.), Handbook of research, schooling, and human development (pp. 42–59). New York, NY: Routledge.

    Google Scholar 

  • Pintrich, P. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16, 385–408.

    Article  Google Scholar 

  • Pintrich, P., & De Groot, E. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33–40.

    Article  Google Scholar 

  • Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor, MI: National Centre for Research to Improve Postsecondary Teaching and Learning.

    Google Scholar 

  • Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801–813.

    Article  Google Scholar 

  • Rao, N., & Sachs, J. (1999). Confirmatory factor analysis of the Chinese version of the Motivated Strategies for Learning Questionnaire. Educational and Psychological Measurement, 59, 1016–1029.

    Article  Google Scholar 

  • Richardson, J. (2004). Methodological issues in questionnaire-based research on student learning in higher education. Educational Psychology Review, 16, 347–358.

    Article  Google Scholar 

  • Samuelstuen, M., & Bråten, I. (2007). Examining the validity of self-reports on scales measuring students’ strategic processing. British Journal of Educational Psychology, 77, 351–378.

    Article  Google Scholar 

  • Schellings, G., & Van Hout-Wolters, B. (2011). Measuring strategy use with self-report instruments: theoretical and empirical considerations. Metacognition and Learning, 6, 83–90.

    Article  Google Scholar 

  • Schneider, W., & Sodian, B. (1997). Memory strategy development: lessons from longitudinal research. Developmental Review, 17, 442–461.

    Article  Google Scholar 

  • Tulving, E. (1962). Subjective organization in free recall of “unrelated” words. Psychological Review, 69, 344–354.

    Article  Google Scholar 

  • Vabariigi Valitsus (2011/2014). Põhikooli riiklik õppekava. [National curriculum for basic schools], Riigi Teataja I 2014, I, 20. Retrieved June 18, 2015, from https://www.riigiteataja.ee/akt/129082014020

  • Veenman, M. (2011). Learning to self-monitor and self-regulate. In R. Mayer & P. Alexander (Eds.), Handbook of research on learning and instruction (pp. 197–218). New York: Routledge.

    Google Scholar 

  • Weinstein, C., & Mayer, R. (1986). The teaching of learning strategies. In M. Wittrock (Ed.), Handbook of research on teaching (pp. 315–327). New York: Macmillan.

    Google Scholar 

  • Wolters, C. (2004). Advancing achievement goal theory: using goal structures and goal orientations to predict students’ motivation, cognition, and achievement. Journal of Educational Psychology, 96, 236–250.

    Article  Google Scholar 

Download references

Acknowledgments

The study was supported by the Estonian Ministry of Education and Research (institutional research grant IUT 3-3 and special grant no. 10.1-8.1/933) and European Social Fund Program Eduko (via Archimedes Foundation, grant 30.2-4/549). We would like to thank Anu Palu, Krista Uibu, and Piret Soodla for developing the math and language tests and Teri Talpsep for valuable comments on an earlier version of this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eve Kikas.

Additional information

Eve Kikas, School of Natural Sciences and Health, Tallinn University, Narva mnt. 25, 10120 Tallinn, Estonia; E-mail: eve.kikas@tlu.ee.

Current themes of research:

Children’s development and learning in kindergarten and school. The role of individual characteristics and contextual factors (e.g., teaching practices, parental support) in students’ learning, considering varying skill levels and ages.

Most relevant publications in the field of Psychology of Education

Kikas, E., Silinskas, G., and Soodla, P. (2015). The Effects of Children’s Reading Skills and Interest on Teacher Perceptions of Children’s Skills and Individualized Support. International Journal of Behavioral Development, 39, 402–412. DOI: 10.1177/0165025415573641.

Kikas, E., Peets, K., and Hodges, E. (2014). Collective Student Characteristics Alter the Effects of Teaching Practices on Academic Outcomes. Journal of Applied Developmental Psychology, 35, 273–283.

Kikas, E., Lerkkanen, M.-K., Pakarinen, E., Poikonen, P.-L (2014). Family- and Classroom-Related Factors and Mother-Kindergarten Teacher Trust in Estonia and Finland. Educational Psychology.

Kikas, E., Peets, K., Palu, A., and Afanasjev, J. (2009). The role of individual and contextual factors in the development of maths Skills. Educational Psychology, 29, 541–560.

Kikas, E.; Peets, K.; Tropp, K.; Hinn, M. (2009). Associations between Verbal Reasoning, Normative Beliefs about Aggression, and Aggression. Journal of Research on Adolescence, 19, 137–149.

Kikas, E. (2004). Teachers’ conceptions and misconceptions concerning three natural phenomena. Journal of Research in Science Teaching, 41, 432448.

Anna-Liisa Jõgi, School of Natural Sciences and Health, Tallinn University, Narva mnt. 25, 10120 Tallinn, Estonia; E-mail: annaliisa.jogi@tlu.ee.

Current themes of research:

Motivational and cognitive factors influencing math performance. The role of learning skills in learning.

Most relevant publications in the field of Psychology of Education

Jõgi, A.-L, Kikas, E., Lerkkanen, M.-K., and Mägi, K. (2015). Cross-lagged relations betweenmath-related interest, performance goals and skills in groups of children with different general abilities. Learning and Individual Differences, 39, 105–113.

Jõgi, A-L., Mägi, K., and Kikas, E. (2011). Maths-specific performance goals, interest and self-concept, and their relationship to previous task-avoidant behaviour. Mikk, Jaan; Veisson, Marika; Luik, Piret (Toim.). Preschool and primary education (106–120).Peter Lang Verlag.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kikas, E., Jõgi, AL. Assessment of learning strategies: self-report questionnaire or learning task. Eur J Psychol Educ 31, 579–593 (2016). https://doi.org/10.1007/s10212-015-0276-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10212-015-0276-3

Keywords

Navigation