Skip to main content
Log in

Giving Learning a Helping Hand: Finger Tracing of Temperature Graphs on an iPad

  • Review Article
  • Published:
Educational Psychology Review Aims and scope Submit manuscript

Abstract

Gesturally controlled information and communication technologies, such as tablet devices, are becoming increasingly popular tools for teaching and learning. Based on the theoretical frameworks of cognitive load and embodied cognition, this study investigated the impact of explicit instructions to trace out elements of tablet-based worked examples on mathematical problem-solving. Participants were 61 primary school children (8–11 years), who studied worked examples on an iPad either by tracing temperature graphs with their index finger or without such tracing. Results confirmed the main hypothesis that finger tracing as a form of biologically primary knowledge would support the construction of biologically secondary knowledge needed to understand temperature graphs. Children in the tracing condition achieved higher performance on transfer test questions. The theoretical and practical implications of the results are discussed.

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

Similar content being viewed by others

References

  • Abrams, R., Davoli, C., Du, F., Knapp, W., III, & Paull, D. (2008). Altered vision near the hands. Cognition, 107, 1035–1047.

    Article  Google Scholar 

  • Alibali, M. W. (2005). Gesture in spatial cognition: expressing, communicating, and thinking about spatial information. Spatial Cognition and Computation, 5, 307–331.

    Article  Google Scholar 

  • Alibali, M. W., & DiRusso, A. A. (1999). The function of gesture in learning to count: more than keeping track. Cognitive Development, 14, 37–56.

    Article  Google Scholar 

  • Atkinson, R., Lin, L., & Harrison, C. (2009). Comparing the efficacy of different signaling techniques. In G. Siemens & C. Fulford (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2009 (pp. 954–962). Chesapeake, VA: AACE. Retrieved from http://www.editlib.org/p/31608.

  • Baddeley, A. (2012). Working memory: theories, models, and controversies. Annual Review of Psychology, 63, 1–29.

    Article  Google Scholar 

  • Bara, F., Gentaz, E., & Colé, P. (2007). Haptics in learning to read with children from low socio-economic status families. British Journal of Developmental Psychology, 25, 643–663.

    Article  Google Scholar 

  • Bara, F., Gentaz, E., Colé, P., & Sprenger-Charolles, L. (2004). The visuo-haptic and haptic exploration of letters increases the kindergarten-children’s understanding of the alphabetic principle. Cognitive Development, 19, 433–449.

    Article  Google Scholar 

  • Bartlett, F. (1932). Remembering: a study in experimental and social psychology. Cambridge: Cambridge University Press.

    Google Scholar 

  • Board of Studies NSW Syllabuses for the Australian curriculum (2012). Mathematics K-10, Stage 3, Statistics and Probability. Retrieved March 20, from http://syllabus.bos.nsw.edu.au/mathematics/mathematics-k10/content/1147/.

  • Castro-Alonso, J. C., Ayres, P., & Paas, F. (2014). Learning from observing hands in static and animated versions of non-manipulative tasks. Learning and Instruction, 34, 11–22.

    Article  Google Scholar 

  • Chum, M., Bekkering, H., Dodd, M. D., & Pratt, J. (2007). Motor and visual codes interact to facilitate visuospatial memory performance. Psychonomic Bulletin & Review, 14, 1189–1193.

    Article  Google Scholar 

  • Colonnesi, C., Stams, G. J. J. M., Koster, I., & Noom, M. J. (2010). The relation between pointing and language development: a meta-analysis. Developmental Review, 352–366.

  • Cooper, G., & Sweller, J. (1987). Effects of schema acquisition and rule automation on mathematical problem-solving transfer. Journal of Educational Psychology, 79, 347–362.

    Article  Google Scholar 

  • Cosman, J., & Vecera, S. (2010). Attention affects visual perceptual processing near the hand. Psychological Science, 21, 1254–1258.

    Article  Google Scholar 

  • Cowan, N. (2001). The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87–185.

    Article  Google Scholar 

  • de Koning, B., & Tabbers, H. (2013). Gestures in instructional animations: a helping hand to understanding non-human movements? Applied Cognitive Psychology, 27, 683–689.

    Google Scholar 

  • Docebo (2014). E-Learning Market Trends & Forecast 2014–2016 Report. Retrieved from http://www.docebo.com/elearning-lms-resources/papers-researches/.

  • Evans, M. A., Williamson, K., & Pursoo, T. (2008). Preschoolers’ attention to print during shared book reading. Scientific Studies of Reading, 12, 106–129.

    Article  Google Scholar 

  • Foglia, L., & Wilson, R. A. (2013). Embodied cognition. Wiley Interdisciplinary Reviews: Cognitive Science, 4, 319–325.

    Google Scholar 

  • Geary, D. C. (2008). An evolutionarily informed education science. Educational Psychologist, 43, 179–195.

    Article  Google Scholar 

  • Ginns, P. (2006). Integrating information: meta-analyses of the spatial contiguity and temporal contiguity effects. Learning and Instruction, 16, 511–525.

    Article  Google Scholar 

  • Glenberg, A. M., Witt, J. K., & Metcalfe, J. (2013). From the revolution to embodiment: 25 years of cognitive psychology. Perspectives on Psychological Science, 8, 573–585.

    Article  Google Scholar 

  • Goldin-Meadow, S. (2011). Learning through gesture. WIREs Cognitive Science, 2, 595–607.

    Article  Google Scholar 

  • Hostetter, A. B. (2011). When do gestures communicate? a meta-analysis. Psychological Bulletin, 137, 297–315.

    Article  Google Scholar 

  • Hu, F. T., Ginns, P., & Bobis, J. (2014). Does tracing worked examples enhance geometry learning? Australian Journal of Educational and Developmental Psychology, 14, 45–49.

    Google Scholar 

  • Hu, F.-T., Ginns, P., & Bobis, J. (2015). Getting the point: tracing worked examples enhances learning. Learning and Instruction, 35, 85–93.

    Article  Google Scholar 

  • Hulme, C., Monk, A., & Ives, S. (1987). Some experimental studies of multi-sensory teaching: the effects of manual tracing on children’s paired-associate learning. British Journal of Developmental Psychology, 5, 299–307.

    Article  Google Scholar 

  • Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC horizon report: 2014 K-12 edition. Austin, Texas: The New Media Consortium.

    Google Scholar 

  • Justice, L. M., Kaderavek, J. N., Fan, X., Sofka, A., & Hunt, A. (2009). Accelerating preschoolers’early literacy development through classroom-based teacher-child storybook reading and explicitprint referencing. Language, Speech, and Hearing in Schools, 40, 67–85.

    Article  Google Scholar 

  • Kalenine, S., Pinet, L., & Gentaz, E. (2011). The visual and visuo-haptic exploration of geometrical shapes increases their recognition in preschoolers. International Journal of Behavioral Development, 35, 18–26.

    Article  Google Scholar 

  • Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19, 509–539.

    Article  Google Scholar 

  • Kendon, A. (2004). Gesture: visible action as utterance. Cambridge: Cambridge University Press.

    Google Scholar 

  • Kirschner, F., Paas, F., & Kirschner, P. A. (2009). A cognitive load approach to collaborative learning: united brains for complex tasks. Educational Psychology Review, 21, 31–42.

    Article  Google Scholar 

  • Kirschner, F., Paas, F., & Kirschner, P. A. (2011). Task complexity as a driver for collaborative learning efficiency: the collective working memory effect. Applied Cognitive Psychology, 25, 615–624.

    Article  Google Scholar 

  • Kita, S. (2001). How representational gestures help speaking. In D. McNeill (Ed.), Language and gesture. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Leahy, W., Chandler, P., & Sweller, J. (2003). When auditory presentations should and should not to be a component of multimedia instruction. Applied Cognitive Psychology, 17(4), 401–418.

    Article  Google Scholar 

  • Leahy, W., & Sweller, J. (2004). Cognitive load and the imagination effect. Applied Cognitive Psychology, 18(7), 857–875.

    Article  Google Scholar 

  • Leahy, W., & Sweller, J. (2011). Cognitive load theory, modality of presentation and the transient information effect. Applied Cognitive Psychology, 25(6), 943–951.

    Article  Google Scholar 

  • Leahy, W., & Sweller, J. (2005). Interactions among the imagination, expertise reversal, and element interactivity effects. Journal of Experimental Psychology: Applied, 11(4), 266–276.

    Google Scholar 

  • Leppink, J., Paas, F., Van Der Vleuten, C. P., Van Gog, T., & Van Merrienboer, J. J. (2014). Effects of pairs of problems and examples on task performance and different types of cognitive load. Learning and Instruction, 30, 32–42.

    Article  Google Scholar 

  • Liszkowski, U., Brown, P., Callaghan, T., Takada, A., & de Vos, C. (2012). A prelinguistic gestural universal of human communication. Cognitive Science, 36, 698–713.

    Article  Google Scholar 

  • Liszkowski, U., Carpenter, M., Henning, A., Striano, T., & Tomasello, M. (2004). Twelve-month-olds point to share attention and interest. Developmental Science, 7, 297–307.

    Article  Google Scholar 

  • Macken, L., & Ginns, P. (2014). Pointing and tracing gestures may enhance anatomy and physiology learning. Medical Teacher, 36, 569–601.

    Article  Google Scholar 

  • Marshall, S. P. (1995). Schemas in problem solving. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Mayer, R. E., & DaPra, C. S. (2012). An embodiment effect in computer-based learning with animated pedagogical agents. Journal of Experimental Psychology: Applied, 18, 239–252.

    Google Scholar 

  • Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63, 81–97.

    Article  Google Scholar 

  • Montessori, M. (1912/1964). The Montessori Method. Cambridge, MA: Robert Bentley, Inc.

  • Moreno, R., Reislein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning. Journal of Media Psychology, 22, 52–60.

    Article  Google Scholar 

  • Paas, F. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: a cognitive-load approach. Journal of Educational Psychology, 84, 429.

    Article  Google Scholar 

  • Paas, F., & Sweller, J. (2012). An evolutionary upgrade of cognitive load theory: using the human motor system and collaboration to support the learning of complex cognitive tasks. Educational Psychology Review, 24, 27–45.

    Article  Google Scholar 

  • Peterson, L., & Peterson, M. J. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58, 193–198.

    Article  Google Scholar 

  • Piasta, S. B., Justice, L. M., McGinty, A. S., & Kaderavek, J. N. (2012). Increasing young children’s contact with print during shared reading: longitudinal effects on literacy achievement. Child Development, 83, 810–820.

    Article  Google Scholar 

  • Ping, R., & Goldin-Meadow, S. (2010). Gesturing saves cognitive resources when talking about nonpresent objects. Cognitive Science, 34, 602–619.

    Article  Google Scholar 

  • Rizzolatti, G., & Craighero, L. (2004). The mirror-neuron system. Annual Review of Neuroscience, 27, 169–192.

    Article  Google Scholar 

  • Sheu, F.-R., & Chen, N.-S. (2014). Taking a signal: a review of gesture-based computing research in education. Computers in Education, 78, 268–277.

    Article  Google Scholar 

  • Shams, L., & Seitz, A. (2008). Benefits of multisensory learning. Trends in Cognitive Science, 12, 411–417.

    Article  Google Scholar 

  • Spence, C. (2010). Crossmodal spatial attention. Annals of the New York Academy of Sciences, 1191, 182–200.

    Article  Google Scholar 

  • Spitzer, M. (2013). To swipe or not to swipe?—the question in present day education. Trends in Neuroscience and Education, 2, 95–99.

    Article  Google Scholar 

  • Sweller, J. (2003). Evolution of human cognitive architecture. Psychology of Learning and Motivation, 43, 216–266.

    Google Scholar 

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

    Book  Google Scholar 

  • Talsma, D., Senkowski, D., Soto-Faraco, S., & Woldorff, M. G. (2010). The multifaceted interplay between attention and multisensory integration. Trends in Cognitive Sciences, 14, 400–410.

    Article  Google Scholar 

  • Wong, A., Marcus, N., Smith, L., Cooper, G. A., Ayres, P., Paas, F., et al. (2009). Instructional animations can be superior to statics when learning human motor skills. Computers in Human Behavior, 25, 339–347.

    Article  Google Scholar 

  • Van der Burg, E., Olivers, C., Bronkhorst, A., & Theeuwes, J. (2009). Poke and pop: tactile-visual synchrony increases visual saliency. Neuroscience Letters, 450, 60–64.

    Article  Google Scholar 

  • Van Gog, T., Ericsson, K. A., Rikers, R. M., & Paas, F. (2005). Instructional design for advanced learners: establishing connections between the theoretical frameworks of cognitive load and deliberate practice. Educational Technology Research and Development, 53, 73–81.

    Article  Google Scholar 

  • Van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J. (2009). The mirror-neuron system and observational learning: implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 21, 21–30.

    Article  Google Scholar 

  • Wong, A., Leahy, W., Marcus, N., & Sweller, J. (2012). Cognitive load theory, the transient information effect and e-learning. Learning and Instruction, 22(6), 449–457.

    Article  Google Scholar 

Download references

Acknowledgment

This research was funded by the University of Wollongong’s Research Council Small Grant Scheme, 2013.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shirley Agostinho.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Agostinho, S., Tindall-Ford, S., Ginns, P. et al. Giving Learning a Helping Hand: Finger Tracing of Temperature Graphs on an iPad. Educ Psychol Rev 27, 427–443 (2015). https://doi.org/10.1007/s10648-015-9315-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10648-015-9315-5

Keywords

Navigation