Abstract
We investigate an interactive teacher-generated drawing strategy in which the teacher constructs a drawing with the help of the students. The students contribute their ideas on how to visualize to-be-drawn concepts, embedded in an interactive process. The present study explored whether learning from a scientific text on plate tectonics could be enhanced by an interactive teacher-generated drawing strategy. A number of studies on student-generated drawings have shown that students have difficulties to accurately represent scientific information (i.e. Van Meter & Garner, 2005). One solution to such difficulties—providing external illustrations for comparison—has not always been helpful (Fiorella & Zhang, 2018), because students need support on how to process the provided illustrations. Ninety-four 8th-grade students (M = 13.34, SD = 0.50) participated in the study. Instructions varied according to a 2 × 2 factorial between-subjects design with “student-generated drawings” (yes, no) and “interactive teacher-generated drawings” (yes, no) as the two factors. The following conditions were applied: reading a scientific text; reading and creating drawings; reading and engaging in the interactive drawing process; reading and creating drawings as well as engaging in the interactive drawing process. Subsequently, the students answered questions about their comprehension (transfer, recall, and drawing). The interactive teacher-generated drawing groups (interactive teacher-generated drawing group, student-and-interactive teacher-generated drawing group) showed better transfer, recall, and drawing performance than the non-interactive groups (no-strategy group, student-generated drawing group). No effects were found for student-generated drawings on the immediate posttests. However, interactive teacher-generated drawings and student-generated drawings enhanced drawing performance in the long term. Interactive teacher-generated drawing can be seen as an effective strategy for fostering mental model building to enhance learning and understanding of scientific text.
Similar content being viewed by others
References
Ainsworth, S., Prain, V., & Tytler, R. (2011). Drawing to learn in science. Science, 333, 1096–1097. https://doi.org/10.1126/science.1204153
Aguiar, O.G., Mortimer, E.F., & Scott, P. (2010). Learning from and responding to students' questions: The authoritative and dialogic tension. Journal of Research in Science Teaching, 47, 74–193. https://doi.org/10.1002/tea.20315
Alesandrini, K. L. (1984). Pictures and adult learning. Instructional Science, 13, 63–77.
Carney, R. N., & Levin, J. R. (2002). Pictorial illustrations still improve students’ learning from text. Educational Psychology Review, 14, 5–26.
Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49, 219–243. https://doi.org/10.1080/00461520.2014.965823
Clark, R. E., Kirschner, P. A., & Sweller, J. (2012). Putting students on the path to learning. The case for fully guided instruction. American Educator, 36, 6–11.
De Vries, E. (2006). Students’ construction of external representations in design-based learning situations. Learning and Instruction, 16(3), 213–227. https://doi.org/10.1016/j.learninstruc.2006.03.006
Ekstrom, R. B., French, J. W., & Harman, H. H. (1976). Manual for kit of factor-referenced cognitive tests. Educational Testing Service.
Fiorella, L., & Mayer, R. E. (2015). Learning as a generative activity: Eight learning strategies that promote understanding. Cambridge University Press.
Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychology Review, 28, 717–741. https://doi.org/10.1007/s10648-015-9348-9
Fiorella, L., & Zhang, Q. (2018). Drawing boundary conditions for learning by drawing. Educational Psychology Review, 30, 1115–1137. https://doi.org/10.1007/s10648-018-9444-8
Godwin, K. E., Almeda, M. V., Seltman, H., Kai, S., Skerbetz, M. D., Baker, R. S., & Fisher, A. V. (2016). Off-task behaviour in elementary school children. Learning and Instruction, 44, 128–143. https://doi.org/10.1016/j.learninstruc.2016.04.003
Hannafin, M., Land, S., & Oliver, K. (1999). Open learning environments: Foundations, Methods, and Models. In C.M. Reigeluth (Ed.), Instructional-design theories and models. New paradigma of instructional theory (Vol. 2, pp. 115-140). Lawrence Erlbaum Associates.
Heller, K. A., & Perleth, C. (2000). Kognitiver Fähigkeitstest für 4–12: Klassen, Revision [Cognitive ability test for Grades 4–12: Revised version]. Hogrefe.
Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41, 111–127. https://doi.org/10.1207/s15326985ep4102_4
Höffler, T. N. (2010). Spatial ability: Its influence on learning with visualizations – a meta-analytic review. Educational Psychology Review, 22, 245–269. https://doi.org/10.1007/s10648-010-9126-7
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6, 65–70.
Huang, C. S. J., Su, A. Y. S., Yang, S. J. A., & Liou, H.-H. (2017). A collaborative digital pen learning approach to improving students’ learning achievement and motivation in mathematics courses. Computers and Education, 107, 31–44. https://doi.org/10.1016/j.compedu.2016.12.014
Johnson-Laird, P. N. (1983). Mental models. University Press Cambridge.
Kapur, M. (2012). Productive failure in learning the concept of variance. Instructional Science, 40, 651–672. https://doi.org/10.1007/s11251-012-9209-6
Larkin, J. H., & Simon, H. A. (1987). Why a diagram is (sometimes) worth ten thousand words. Cognitive Science, 11, 65–99.
Leopold, C. (2022). The imagination principle in multimedia learning. In R. E. Mayer & L. Fiorella (Eds.), Cambridge handbook of multimedia learning (3rd ed.). Cambridge University Press.
Leopold, C., & Leutner, D. (2012). Science text comprehension: Drawing, main idea selection, and summarizing as learning strategies. Learning and Instruction, 22, 16–26. https://doi.org/10.1016/j.learninstruc.2011.05.005
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. https://doi.org/10.1016/j.learninstruc.2013.02.003
Leutner, D., Leopold, C., & Sumfleth, E. (2009). Cognitive load and science text comprehension: Effects of drawing and mentally imaging text content. Computer in Human Behavior, 25, 284–289. https://doi.org/10.1016/j.chb.2008.12.010
Loibl, K., Roll, I., & Rummel, N. (2017). Towards a theory of when and how problem solving followed by instruction supports learning. Educational Psychology Review, 29, 693–715. https://doi.org/10.1007/s10648-016-9379-x
Marques, L. & Thompson, D. (1997). Misconceptions and conceptual changes concerning continental drift and plate tectonics among Portuguese students aged 16-17. Research in Science and Technological Education, 15(2), 195–222. https://doi.org/10.1080/0263514970150206.
Mason, L., Lowe, R., & Tornatora, M. C. (2013). Self-generated drawings for supporting comprehension of a complex animation. Contemporary Educational Psychology, 38(3), 211–224. https://doi.org/10.1016/j.cedpsych.2013.04.001
Mayer, R. E. (1993). Illustrations that instruct. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 4, p. 253). Erlbaum.
Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press.
Mercer, N., Hennessy, S., & Warwick, P. (2019). Dialogue, thinking together and digital technology in the classroom: Some educational implications of a continuing line of inquiry. International Journal of Educational Research, 97, 187–199. https://doi.org/10.1016/j.ijer.2017.08.007
Middendorf, J., & Kalish, A. (1996). The “change-up” in lectures. The National Teaching and Learning Forum, 5, 1–2.
Muthén, L. K., & Muthén, B. O. (2007). Mplus user’s guide (5th ed.). Muthén & Muthén.
Paas, F., & Van Merrienboer, J. (1993). The Efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors, 35, 737–743.
Ploetzner, R., & Fillisch, B. (2017). Not the silver bullet: Learner-generated drawings make it difficult to understand broader spatiotemporal structures in complex animations. Learning and Instruction, 47, 13–24. https://doi.org/10.1016/j.learninstruc.2016.10.002
Quillin, K., & Thomas, S. (2015). Drawing-to-learn: A framework for using drawings to promote model-based reasoning in biology. CBE-Life Sciences Education, 14, 1–16. https://doi.org/10.1187/cbe.14-08-0128
Rasco, R. W., Tennyson, R. D., & Boutwell, R. C. (1975). Imagery instructions and drawings in learning prose. Journal of Educational Psychology, 67, 188–192. https://doi.org/10.1037/h0077014
Rellensmann, J., Schukajlow, S., & Leopold, C. (2017). Make a drawing. Effects of strategic knowledge, drawing accuracy, and type of drawing on students’ mathematical modelling performance. Educational Studies in Mathematics, 95, 53–78. https://doi.org/10.1007/s10649-016-9736-1
Rellensmann, J., Schukajlow, S., & Leopold, C. (2020). Mesuring and investigating strategic knowledge about drawing to solve geometry modelling problems. ZDM Mathematics Education, 52, 97-110 https://doi.org/10.1007/s11858-019-01085-1
Rheinberg, F., Vollmeyer, R., & Burns, B. D. (2001). FAM: Ein Fragebogen zur Erfassung aktueller Motivation in Lern- und Leistungssituationen [QCM: A questionnaire to assess current motivation in learning situations]. Diagnostica, 47, 57–66.
Scheiter, K., Schleinschok, K., & Ainsworth, S. E. (2017). Why sketching may aid learning from science texts: Contrasting sketching with written explanations. Topics in Cognitive Science, 9(4), 866–882. https://doi.org/10.1111/tops.12261
Schmidgall, S. P., Eitel, A., & Scheiter, K. (2019). Why do learners who draw perform well? Investigating the role of visualization, generation and externalization in learner-generated drawing. Learning and Instruction, 60, 138–153. https://doi.org/10.1016/j.learninstruc.2018.01.006
Schwamborn, A., Mayer, R. E., Thillmann, H., Leopold, C., & Leutner, D. (2010a). Drawing as a generative activity and drawing as a prognostic activity. Journal of Educational Psychology, 102, 872–879. https://doi.org/10.1037/a0019640
Schwamborn, A., Thillmann, H., Leopold, C., Sumfleth, E., & Leutner, D. (2010b). Der Einsatz von vorgegebenen und selbst generierten Bildern als Textverstehenshilfe beim Lernen aus einem naturwissenschaftlichen Sachtext [Using presented and self-generated pictures as learning aids for learning from science text]. Zeitschrift Für Pädagogische Psychologie, 24, 221–233. https://doi.org/10.1024/1010-0652/a000018
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(1), 89–93. https://doi.org/10.1016/j.chb.2010.05.028
Schwartz, D. L., & Martin, T. (2004). Inventing to prepare for future learning: The hidden efficiency of encouraging original student production in statistics instruction. Cognition and Instruction, 22, 129–184. https://doi.org/10.1207/s1532690xci2202_1
Schnotz, W. (2005). An Integrated Model of Text and Picture Comprehension. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 49–69). Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.005.
Sheskin, D. J. (2011). Handbook of parametric and non-parametric statistical procedures (5th ed.). Chapman & Hall/CRC.
Stieff, M. (2017). Drawing for promoting learning and engagement with dynamic visualizations. In R. Lowe & R. Ploetzner (Eds.), Learning from dynamic visualization (pp. 333–356). Springer.
Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68, 1–16. https://doi.org/10.1007/s11423-019-09701-3
Tirre, W. C., Manelis, L., & Leicht, K. (1979). The effects of imaginal and verbal strategies on prose comprehension by adults. Journal of Reading Behavior, 11, 99–106. https://doi.org/10.1080/10862967909547313
Uesaka, Y., & Manalo, E. (2012). Task-related factors that influence the spontaneous use of diagrams in math word problems. Applied Cognitive Psychology, 26, 251–260. https://doi.org/10.1002/acp.1816|
Uesaka, Y., & Manalo, E. (2017). How to address students’ lack of spontaneity in diagram use: Eliciting educational principles for the promotion of spontaneous learning strategy use in general. In E. Manalo, Y. Uesaka, & C. A. Chinn (Eds.), Promoting spontaneous use of learning and reasoning strategies (pp. 62–76). Routledge.
Van Meter, P. (2001). Drawing construction as a strategy for learning from text. Journal of Educational Psychology, 69, 129–140. https://doi.org/10.1037//0022-0663.93.1.129
Van Meter, P., Aleksic, M., Schwartz, A., & Garner, J. (2006). Learner generated drawing as a strategy for learning from content area text. Contemporary Educational Psychology, 31, 142–166. https://doi.org/10.1016/j.cedpsych.2005.04.001
Van Meter, P., & Firetto, C. (2013). Cognitive model of drawing construction. In G. Schraw, M. T. McCrudden, & D. Robinson (Eds.), Learning through visual displays (pp. 247–280). Information Age Publishing.
Van Meter, P., & Garner, J. (2005). The promise and practice of learner-generated drawings: Literature review and synthesis. Educational Psychology Review, 12, 261–312. https://doi.org/10.1007/s10648-005-8136-3
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
Wiley, J. (2018). Picture this! Effects of photographs, diagrams, animations, and sketching on learning and beliefs about learning from a geoscience text. Applied Cognitive Psychology, 33, 9–19. https://doi.org/10.1002/acp.3495
Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, 17, 89–100. https://doi.org/10.1111/j.1469-7610.1976.tb00381.x
Wu, S. P. W., & Rau, M. A. (2019). How students learn content in science, technology, engineering, and mathematics (STEM) through drawing activities. Educational Psychology Review, 31, 87–120. https://doi.org/10.1007/s10648-019-09467-3
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix A
Example Paragraph from the Scientific Text on Plate Tectonics.
Appendix B
Each learning booklet included a practice learning sheet containing an example paragraph on lightning (adapted from Mayer, 2020) to introduce the students to the respective strategy condition (see Appendix B). This is a practice learning task for the main learning task (plate tectonics).
Appendix C
Scoring categories for the transfer question “Even though there are convective currents in the mantle of the entire Earth, volcanoes do not appear everywhere on the Earth. Why don’t volcanoes occur everywhere? Please list possible reasons.”
-
A
Place
-
A1
Volcanoes arise at plate boundaries.
-
A2
…because there magma finds a faster or easier way to the eruption.
-
A3
When the plates move away…
-
A4
…the resulting split
-
A5
…is filled with magma.
-
A6
Volcanoes are (more likely) formed on the ocean floor
-
A7
…at subduction zones (one plate moves below another)
-
A1
-
B
Subduction: collision of two oceanic plates or a continental plate with an oceanic plate
-
B1
During subduction, volcanoes are formed if ...
-
B2
…the plutons (magma chamber) have enough pressure inside or are full.
-
B3
…the magma rises towards the Earth's crust (magma chamber)
-
B4
…and not only mixes in the coat.
-
B5
…the oceanic plate goes down sufficiently
-
B6
…to depths where there is high temperature or pressure
-
B7
… so that the surrounding rock can melt.
-
B8
The core is the warmest part of the Earth or magma rises in the mantle because it is so warm in the Earth's interior.
-
B1
-
C
Other causes: No subduction or plates do not move apart
-
C1
Sliding of the adjacent plates
-
C2
Collision of two continental plates
-
C3
… mountains are created (or the mountains have mirrored roots in their mantle)
-
C4
The continental plates are too thick.
-
C5
No subduction (- no volcanoes)
-
C6
No move away of the plates
-
C7
Direction of convective currents
-
C8
Strength of convective currents
(Maximum 23 points)
No points:-Weather (cold and warm)
-
The water has more pressure than the air
-
Erosion of water
-
-
C1
Appendix D
Scoring categories for the drawing task “Draw how two continental plates crash against each other. Please include the convective currents in your drawings”.
Rights and permissions
About this article
Cite this article
Lardi, C., Leopold, C. Effects of interactive teacher-generated drawings on students’ understanding of plate tectonics. Instr Sci 50, 273–302 (2022). https://doi.org/10.1007/s11251-021-09567-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11251-021-09567-0