Skip to main content
Log in

Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies

  • Published:
Metacognition and Learning Aims and scope Submit manuscript

Abstract

In three experiments, students were trained to use strategies for learning from scientific texts: text highlighting (Experiment 1), knowledge mapping (Experiment 2), and visualizing (Experiment 3). Each experiment compared a control condition, cognitive strategy training, and a combined cognitive strategy plus metacognitive self-regulation training with a specific focus on the quality of cognitive strategy application. After the training, students applied the learning strategies as they studied scientific texts. Across experiments, the results indicated that the self-regulation component of the training helped the students to overcome the lack of efficacy of the cognitive strategy only training when it was not effective by itself: The highlighting-only group was outperformed by the control group (d = −1.25), but the combined highlighting-plus-self-regulation training reduced this negative effect (d = −0.21). The mapping-only group performed as well as the control group (d = −0.12), but the combined mapping-plus-self-regulation group outperformed the control group (d = 0.76). The visualizing-only group outperformed the control group (d = 0.72) as did the combined visualizing-plus-self-regulation group (d = 0.78). Results suggest that cognitive learning strategies differ in their potential to induce deep versus surface processing of text contents. In addition, the metacognitive self-regulation component of the training enhanced students’ performance when the cognitive strategy training was not effective by itself.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Alesandrini, K. L. (1981). Pictorial-verbal and analytic-holistic learning strategies in science learning. Journal of Educational Psychology, 73, 358–368.

    Article  Google Scholar 

  • Azevedo, R., & Witherspoon, A. M. (2009). Self-regulated learning with hypermedia. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 319–339). Mahwah: Routledge.

    Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Boekaerts, M. (2002). Bringing about change in the classroom: Strengths and weaknesses of the self-regulated learning approach. Learning and Instruction, 12, 589–602.

    Article  Google Scholar 

  • Chang, K., Sung, Y., & Chen, I. (2002). The effect of concept mapping to enhance text comprehension and summarization. The Journal of Experimental Education, 71, 5–23.

    Article  Google Scholar 

  • Chmielewski, T. L., & Dansereau, D. F. (1998). Enhancing the recall of text: Knowledge mapping training promotes implicit transfer. Journal of Educational Psychology, 90, 407–413.

    Article  Google Scholar 

  • Chularut, P., & DeBacker, T. K. (2004). The influence of concept mapping on achievement, self-regulation, and self-efficacy in students of English as a second language. Contemporary Educational Psychology, 29, 248–263.

    Article  Google Scholar 

  • Dansereau, D. F., Collins, K. W., McDonald, B. A., Holley, C. D., Garland, J. C., Diekhoff, G., & Evans, S. H. (1979). Development and evaluation of a learning strategy training program. Journal of Educational Psychology, 71, 64–73.

    Article  Google Scholar 

  • Denis, M. (2008). Assessing the symbolic distance effect in mental images constructed from verbal descriptions: A study of individual differences in the mental comparison of distances. Acta Psychologica, 127, 197–210.

    Article  Google Scholar 

  • Denis, M., & Cocude, M. (1989). Scanning visual images generated from verbal descriptions. European Journal of Cognitive Psychology, 1, 293–307.

    Article  Google Scholar 

  • De Koning, B. B., & van der Schoot, M. (2013). Becoming part of the story! Refueling the interest in visualization strategies for reading comprehension. Educational Psychology Review, 25, 261–287.

    Article  Google Scholar 

  • Dignath, C., & Buettner, G. (2008). Components of fostering self-regulated learning among students. A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3, 231–264.

    Article  Google Scholar 

  • Dumke, D., & Schäfer, G. (1986). Verbesserung des Lernens aus Texten durch trainiertes Unterstreichen [Improving learning from text by trained underlining]. Psychologie in Erziehung und Unterricht, 33, 210–219.

    Google Scholar 

  • Dunlosky, J., Rawson, K. A., Marsh, E., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14, 4–58.

    Article  Google Scholar 

  • Ehrlich, K., & Johnson-Laird, P. N. (1982). Spatial descriptions and referential continuity. Journal of Verbal Learning and Verbal Behavior, 21, 296–306.

    Article  Google Scholar 

  • Ekstrom, R. B., French, J. W., Harman, H. H., & Dermen, D. (1976). Manual for kit of factor-referenced cognitive tests. Princeton: Educational Testing Service.

    Google Scholar 

  • Fowler, R. L., & Barker, A. S. (1974). Effectiveness of highlighting for retention of text material. Journal of Applied Psychology, 59, 358–364.

    Article  Google Scholar 

  • Garner, R. (1981). Monitoring of passage inconsistency among poor comprehenders: a preliminary test of the “piecemeal processing” explanation. Journal of Educational Research, 73, 159–162.

    Article  Google Scholar 

  • Gilbert, J. K. (2008). Visualization: An emergent field of practice and enquiry in science education. In J. K. Gilbert, M. Reiner, & M. Nakhleh (Eds.), Visualization: Theory and practice in science education (pp. 3–24). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Glenberg, A. M., Meyer, M., & Lindem, K. (1987). Mental models contribute to foregrounding during text comprehension. Journal of Memory and Language, 26, 69–83.

    Article  Google Scholar 

  • Glogger, I., Schwonke, R., Holzäpfel, L., Nückles, M., & Renkl, A. (2012). Learning strategies assessed by journal writing: prediction of learning outcomes by quantity, quality, and combinations of learning strategies. Journal of Educational Psychology, 104, 452–468.

    Article  Google Scholar 

  • Griffin, T. D., Wiley, J., & Thiede, K. W. (2008). Individual differences, rereading, and self-explanation: concurrent processing and cue valididty as constraints on metacomprehension accuracy. Memory & Cognition, 36, 93–103.

  • Hall, V. C., Bailey, J., & Tillman, C. (1997). Can student-generated illustrations be worth ten thousand words? Journal of Educational Psychology, 89, 667–681.

    Article  Google Scholar 

  • Hardy, I., & Stadelhofer, B. (2006). Concept Maps wirkungsvoll als Strukturierungshilfen einsetzen. Welche Rolle spielt die Selbstkonstruktion? [Using concept maps effectively for structuring: the role of self-construction]. Zeitschrift für Pädagogische Psychologie, 20, 175–187.

    Article  Google Scholar 

  • Hartley, J., Bartlett, S., & Branthwaite, A. (1980). Underlining can make a difference—sometimes. Journal of Educational Research, 73, 218–224.

    Article  Google Scholar 

  • Heller, K. A., & Perleth, C. (2000). Kognitiver Fähigkeitstest für 4.-12. Klassen, Revision [Cognitive ability test for grades 4-12, revised version]. Göttingen: Hogrefe.

    Google Scholar 

  • Hilbert, T. S., & Renkl, A. (2008). Concept mapping as a follow-up strategy to learning from texts: what characterizes good and poor mappers? Instructional Science, 36, 53–73.

    Article  Google Scholar 

  • Holley, C. D., & Dansereau, D. F. (1984). Networking: The technique and the empirical evidence. In C. D. Holley & D. F. Dansereau (Eds.), Spatial learning strategies. Techniques, applications, and related issues (pp. 81–108). New York: Academic.

    Google Scholar 

  • Jaccard, J. (1998). Interaction effects in factorial analysis of variance. Newbury Park: Sage.

    Google Scholar 

  • Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference and consciousness. Cambridge: Cambridge University Press.

    Google Scholar 

  • Kiewra, K. A., Dubois, N., Christensen, M., Kim, S. I., & Lindberg, N. (1989). A more equitable account of the notetaking functions in learning from lecture and from text. Instructional Science, 18, 217–232.

    Article  Google Scholar 

  • Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge: Cambridge University Press.

    Google Scholar 

  • Kosslyn, S. M., Cave, C. B., Provost, D. A., & von Gierke, S. (1988). Sequential processes in image generation. Cognitive Psychology, 20, 319–343.

    Article  Google Scholar 

  • Kulhavy, R. W., Lee, J. B., & Caterino, L. C. (1985). Conjoint retention of maps and related discourse. Contemporary Educational Psychology, 10, 28–37.

    Article  Google Scholar 

  • Leopold, C., & Leutner, D. (2002). Der Einsatz von Lernstrategien in einer konkreten Lernsituation bei Schülern unterschiedlicher Jahrgangsstufen [Using learning strategies in a concrete learning situation with students of different grade levels]. Zeitschrift für Pädagogik, 45(Supplement), 240–258.

    Google Scholar 

  • Leopold, C., & Leutner, D. (2012). Science text comprehension: drawing, main idea selection, and summarizing as learning strategies. Learning and Instruction, 22, 16–26.

    Article  Google Scholar 

  • Leopold, C., Sumfleth, E., & Leutner, D. (2013). Learning with summaries: effects of representation mode and type of learning activity on comprehension and transfer. Learning and Instruction, 27, 40–49.

    Article  Google Scholar 

  • Lesgold, A. M., Levin, J. R., Shimron, J., & Guttmann, J. (1975a). Pictures and young children’s learning from oral prose. Journal of Educational Psychology, 67, 636–642.

    Article  Google Scholar 

  • Lesgold, A., McCormick, C., & Golinkoff, R. (1975b). Imagery training and children’s prose learning. Journal of Educational Psychology, 67, 663–667.

    Article  Google Scholar 

  • Leutner, D., Leopold, C., & den Elzen-Rump, V. (2007). Self-regulated learning with a text-highlighting strategy: a training experiment. Zeitschrift für Psychologie/ Journal of Psychology, 215, 174–182.

    Article  Google Scholar 

  • Leutner, D., Leopold, C., & Sumfleth, E. (2009). Cognitive load and science text comprehension: effects of drawing and mentally imagining text content. Computers in Human Behavior, 25, 284–289.

    Article  Google Scholar 

  • Mandl, H., & Fischer, F. (Eds.). (2000). Wissen sichtbar machen. Wissensmanagement mit Mappingtechniken. Göttingen: Hogrefe.

    Google Scholar 

  • Markman, E. M. (1981). Comprehension monitoring. In W. P. Dickson (Ed.), Children’s oral communication skills (pp. 61–84). New York: Academic.

    Google Scholar 

  • Martin, V. L., & Pressley, M. (1991). Elaborative-interrogation effects depend on the nature of the question. Journal of Educational Psychology, 83, 113–119.

    Article  Google Scholar 

  • Marton, F., & Säljö, R. (1976). On qualitative differences in learning I: outcome and process. British Journal of Educational Psychology, 46, 4–11.

    Article  Google Scholar 

  • Marton, F., & Säljö, R. (1997). Approaches to learning. In F. Marton, D. Hounsell, & N. Entwistle (Eds.), The experience of learning. Implications for teaching and studying in higher education (pp. 39–58). Edinburgh: Scottish Academic Press.

    Google Scholar 

  • Marxen, D. E. (1996). Why reading and underlining a passage is a less effective study strategy than simply rereading the passage. Reading Improvement, 33, 88–96.

    Google Scholar 

  • Mayer, R. E. (1996). Learning strategies for making sense out of expository text: The SOI model for guiding three cognitive processes in knowledge construction. Educational Psychology Review, 8, 357–371.

    Article  Google Scholar 

  • McCagg, E. C., & Dansereau, D. F. (1991). A convergent paradigm for examining knowledge mapping as a learning strategy. Journal of Educational Research, 84, 317–324.

    Article  Google Scholar 

  • Nelson, T. O., & Narens, L. (1994). Why investigate metacognition? In J. Metcalfe & A. P. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 1–25). Cambridge: MIT Press.

    Google Scholar 

  • Nicoll, G., Francisco, J., & Nakhleh, M. (2001). A three-tier system for assessing concept map links: a methodological study. International Journal of Science Education, 23, 863–875.

    Article  Google Scholar 

  • O’Donnell, A. M., Dansereau, D. F., & Hall, R. H. (2002). Knowledge maps as scaffolds for cognitive processing. Educational Psychology Review, 14, 71–86.

    Article  Google Scholar 

  • Paris, S. G., Lipson, M. Y., & Wixson, K. K. (1983). Becoming a strategic reader. Contemporary Educational Psychology, 8, 293–316.

    Article  Google Scholar 

  • Peterson, S. E. (1992). The cognitive functions of underlining as a study technique. Reading Research and Instruction, 31, 49–56.

    Article  Google Scholar 

  • Pintrich, P. R. (2000). The role of goal-orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), The handbook of self-regulation (pp. 451–502). San Diego: Academic.

    Chapter  Google Scholar 

  • Pressley, M., Borkowski, J. G., & Schneider, W. (1989). Good information processing: what it is and how education can promote it. International Journal of Educational Research, 13, 857–867.

    Article  Google Scholar 

  • Redford, J. S., Thiede, K. W., Wiley, J., & Griffin, T. D. (2012). Concept mapping improves metacomprehension accuracy among 7th graders. Learning and Instruction, 22, 262–270.

  • Reigeluth, C. M. (1999). The elaboration theory: Guidance for scope and sequence decisions. In C. M. Reigeluth (Ed.), Instructional-design theories and models. A new paradigm of instructional theory (pp. 425–453). Mahwah: Erlbaum.

    Google Scholar 

  • Rickards, J. P., & August, G. J. (1975). Generative underlining strategies in prose recall. Journal of Educational Psychology, 67, 860–865.

    Article  Google Scholar 

  • Ruiz-Primo, M. A., & Shavelson, R. J. (1996). Problems and issues in the use of concept maps in science assessment. Journal of Research in Science Teaching, 33, 569–600.

    Article  Google Scholar 

  • Rye, J. A., & Rubba, P. A. (2002). Scoring concept maps: an expert-based scheme weighted for relationship. School Science and Mathematics, 102, 33–44.

    Article  Google Scholar 

  • Schreiber, B. (1998). Selbstreguliertes Lernen [Self-regulated learning]. Münster: Waxmann.

    Google Scholar 

  • Schunk, D. H., & Usher, E. L. (2011). Assessing self-efficacy for self-regulated learning. In B. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 282–297). Routledge: New York.

    Google Scholar 

  • Schwamborn, A., Mayer, R. E., Thillmann, H., Leopold, C., & Leutner, D. (2010). Drawing as a generative activity and drawing as a prognostic activity. Journal of Educational Psychology, 102, 872–879.

    Article  Google Scholar 

  • Schwamborn, A., Thillmann, H., Opfermann, M., & Leutner, D. (2011). Cognitive load and instructionally supported learning with provided and learner-generated visualizations. Computers in Human Behavior, 27, 89–93.

    Article  Google Scholar 

  • Simpson, M. L., Olejnik, S., Tam, A. Y., & Supattathum, S. (1994). Elaborative verbal rehearsals and college students’ cognitive performance. Journal of Educational Psychology, 86, 267–278.

    Article  Google Scholar 

  • Slotte, V., & Lonka, K. (1999). Spontaneous concept maps aiding the understanding of scientific concepts. International Journal of Science Education, 21, 515–531.

    Article  Google Scholar 

  • Stensvold, M. S., & Wilson, J. T. (1990). The interaction of verbal ability with concept mapping in learning from a chemistry laboratory activity. Science Education, 74, 473–480.

    Article  Google Scholar 

  • Stull, A. S., & Mayer, R. E. (2007). Learning by doing versus learning by viewing: three experimental comparisons of learner-generated versus author-provided graphic organizers. Journal of Educational Psychology, 99, 808–820.

    Article  Google Scholar 

  • Van Meter, P. (2001). Drawing construction as a strategy for learning form text. Journal of Educational Psychology, 93, 129–140.

    Article  Google Scholar 

  • Van Meter, P., & Garner, J. (2005). The promise and practice of learner-generated drawing: literature review and synthesis. Educational Psychology Review, 17, 285–325.

    Article  Google Scholar 

  • Veenman, M. V. J., Van Hout-Wolter, H. A. M., & Afflerbach, P. (2006). Metacognition and learning: conceptual and methodological considerations. Metacognition and Learning, 1, 3–14.

    Article  Google Scholar 

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

    Google Scholar 

  • Wiley, J., Griffin, T. D., & Thiede, K. W. (2005). Putting the comprehension in metacomprehension. The Journal of General Psychology, 132, 408–428.

    Article  Google Scholar 

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

    Google Scholar 

  • Winne, P. H., & Perry, N. E. (2000). Measuring self-regulated learning. In P. Pintrich, M. Boekaerts, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 531–566). Orlando: Academic.

    Chapter  Google Scholar 

  • Zimmerman, B. J. (2008). Investigating self-regulation and motivation: historical background, methodological developments, and future prospects. American Educational Research Journal, 45, 166–183.

    Article  Google Scholar 

Download references

Author Note

The research presented in this article was funded by the German Research Foundation (DFG; LE 645/6-2).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Claudia Leopold.

Appendices

Appendix 1

Two Example Items from the Multiple-Choice Comprehension Test

What is the chemical basis of hydrogen bonding?

  1. (a)

    The polar nature of the water molecule.

  2. (b)

    Attraction forces between electrons.

  3. (c)

    Attraction forces between ions.

  4. (d)

    The polar covalent bond of the water molecule.

What causes the density anomaly of water?

  1. (a)

    The ring structure of water molecules when water is freezing

  2. (b)

    The surface tension of water.

  3. (c)

    The open lattice structure of ice crystals.

  4. (d)

    Hollow spaces in ice crystals.

Appendix 2

Strategy and Self-Regulation Knowledge Items applied in the Highlighting Experiment

Strategy knowledge items

The most important information in a paragraph is… (a) underlined, (b) written down, (c) circled.

Figuring out which pieces of information are important when reading a text depends on … (a) mainly the reader, (b) the author and the reader, (c) mainly the author.

What is meant by functional side notes (side marks)? (a) abbreviations for text structure elements, (b) statements that are marked by form or color, (c) concepts that emphasize the main ideas of paragraphs, (d) signaling formulations in the text.

What text structure element is involved in or lies behind the following sentence? “Table salt and retail sugar are readily soluble, gypsum and silver chloride are not readily soluble.” (a) condition, (b) definition, (c) example, (d) observation.

Which approach is best for the identification of the main concepts and phrases according to the highlighting strategy? (a) following the argumentation of the author, (b) writing down particular text phrases, (c) relating the main concepts to each other.

What text structure element is involved in or lies behind the following sentence? “To increase the temperature of water, a lot of energy in the form of heat is necessary.” (a) property, (b) explanation, (c) definition, (d) condition.

What text structure element is involved in or lies behind the following sentence? “Solvents are compared with the solute available in surplus. When water is the solvent, we call this solution an aqueous solution.” (a) property, (b) summary, (c) definition, (d) observation.

Self-regulation knowledge items

How should you react to highlighting too much information? (a) write down the most important information, (b) reduce your highlighting, (c) erase your functional side notes.

In which step of the self-regulation strategy do you make a mental note of your progress? (a) first step, (b) second step, (c) third step, (d) fourth step.

What does the following statement refer to? “Did I really first read the paragraph without highlighting words and phrases?” (a) learning strategy, (b) self-regulation, (c) goal setting.

You are applying the self-regulation strategy while highlighting when you … (a) intend to highlight purposeful and sparingly, (b) ask yourself critically whether you have applied the highlighting strategy appropriately, (c) bring to mind the personal benefit of the topic.

When you ask yourself how you applied the highlighting strategy, which steps do you perform? (a) … you are self-observing your strategy application, (b) … you are self-assessing your strategy application, (c) … you are checking your self-assessment.

In the step in which you react, you think about … (a) which steps of the highlighting strategy you have already applied, (b) whether you should further revise your highlighting, (c) whether you have highlighted the main ideas.

Please assign which of the self-regulation steps matches the following example: Daniel thought about whether he had highlighted the most important pieces of information. (a) reacting, (b) self-observing, (c) self-assessing.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leopold, C., Leutner, D. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies. Metacognition Learning 10, 313–346 (2015). https://doi.org/10.1007/s11409-014-9130-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11409-014-9130-2

Keywords

Navigation