Skip to main content

An Exploratory Neuroimaging Study of Argumentative and Summary Writing

  • Chapter
  • First Online:

Part of the book series: Contemporary Trends and Issues in Science Education ((CTISE,volume 49))

Abstract

Science teachers often work with students in an effort to develop cognitive strategies toward understanding science through various modes of writing. The two modes of writing that have been extensively explored through traditional science education research are argumentative writing, in which the objective is to convince someone of a viewpoint using evidence, and summary writing, which is explanatory writing pulling across multiple domains of knowledge. The increased focus on cognitive strategies coupled with the concept of cognitive demand called for in the Next Generation Science Standards creates a need to examine and triangulate claims regarding identified cognitive attributes such as critical thinking, using neuroimaging techniques. The purpose of this study is to investigate the effect of writing type and audience on localized hemodynamic response in college-aged students. Cognitive dynamics are assessed using functional near-infrared spectroscopy, a novel neuroimaging technology. The standardized hemodynamic responses were tested for differences using repeated measures ANOVA (rANOVA). rANOVA reveals a main effect of writing type (summary or argumentative) across the grouping of audience (F(1,2) = 32.00 p = 0.030), with argumentative writing (mean = 3.89 ± 0.015) activations significantly lower in optodes locations 15 and 16. Group differences highlight changes in processing areas dependent on the type of writing and audience and suggest independence of activations.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Antonenko, P., Paas, F., Grabner, R., & van Gog, T. (2010). Using electroencephalography to measure cognitive load. Educational Psychology Review, 22(4), 425–438.

    Article  Google Scholar 

  • Antonenko, P. D., & Niederhauser, D. S. (2010). The influence of leads on cognitive load and learning in a hypertext environment. Computers in Human Behavior, 26(2), 140–150.

    Article  Google Scholar 

  • Ayres, H. (2006). Education and opportunity as influences on career development: Findings from a preliminary study in Eastern Australian tourism. Journal of Hospitality, Leisure, Sport & Tourism Education, 5(1), 16–27.

    Article  Google Scholar 

  • Banville, H., & Falk, T. H. (2016). Recent advances and open challenges in hybrid brain-computer interfacing: A technological review of non-invasive human research. Brain-Computer Interfaces, 3(1), 9–46.

    Article  Google Scholar 

  • Bryman, A. (2015). Social research methods. London: Oxford University Press.

    Google Scholar 

  • Davis, T., LaRocque, K. F., Mumford, J. A., Norman, K. A., Wagner, A. D., & Poldrack, R. A. (2014). What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial- level variance impact fMRI analysis. NeuroImage, 97, 271–283.

    Article  Google Scholar 

  • Delpy, D. T., & Cope, M. (1997). Quantification in tissue near–infrared spectroscopy. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 352(1354), 649–659.

    Article  Google Scholar 

  • Dunlosky, J., Rawson, K. A., Marsh, E. J., 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(1), 4–58.

    Article  Google Scholar 

  • Ferrari, M., & Quaresima, V. (2012). A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. NeuroImage, 63(2), 921–935.

    Article  Google Scholar 

  • Fiez, J. A., & Petersen, S. E. (1998). Neuroimaging studies of word reading. Proceedings of the National Academy of Sciences, 95(3), 914–921.

    Article  Google Scholar 

  • Gefen, D., Ayaz, H., & Onaral, B. (2014). Applying functional near-infrared (fNIRS) spectroscopy to enhance MIS research. AIS Transactions on Human-Computer Interaction, 6(3), 55–73.

    Article  Google Scholar 

  • Gerbier, E., & Toppino, T. C. (2015). The effect of distributed practice: Neuroscience, cognition, and education. Trends in Neuroscience and Education, 4(3), 49–59.

    Article  Google Scholar 

  • Grimberg, B. I., & Hand, B. (2009). Cognitive pathways: Analysis of students’ written texts for science understanding. International Journal of Science Education, 31(4), 503–521.

    Article  Google Scholar 

  • Gunel, M., Hand, B., & Prain, V. (2007). Writing for learning in science: A secondary analysis of six studies. International Journal of Science and Mathematics Education, 5(4), 615–637.

    Article  Google Scholar 

  • Harrison, J., İzzetoğlu, K., Ayaz, H., Willems, B., Hah, S., Ahlstrom, U., et al. (2014). Cognitive workload and learning assessment during the implementation of a next-generation air traffic control technology using functional near-infrared spectroscopy. IEEE Transactions on Human-Machine Systems, 44(4), 429–440.

    Article  Google Scholar 

  • Herff, C., Heger, D., Fortmann, O., Hennrich, J., Putze, F., & Schultz, T. (2014). Mental workload during n-back task – Quantified in the prefrontal cortex using fNIRS. Frontiers in Human Neuroscience, 7, 935.

    Article  Google Scholar 

  • Hussein, A. (2015). The use of triangulation in social sciences research: Can qualitative and quantitative methods be combined. Journal of Comparative Social Work, 1(8), 1–12.

    Google Scholar 

  • Izzetoglu, K., Bunce, S., Izzetoglu, M., Onaral, B., & Pourrezaei, K. (2003, September). fNIR spectroscopy as a measure of cognitive task load. In Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No. 03CH37439) (Vol. 4, pp. 3431–3434). IEEE.

    Google Scholar 

  • Jang, J. Y. (2011). The effect of using a structured reading framework on middle school students’ conceptual understanding within the science writing heuristic approach. Iowa City, Iowa: University of Iowa

    Book  Google Scholar 

  • Johnson, M. H., & De Haan, M. (2015). Developmental cognitive neuroscience: An introduction. West Sussex, UK: Wiley.

    Google Scholar 

  • Justen, C., Herbert, C., Werner, K., & Raab, M. (2014). Self vs. other: Neural correlates underlying agent identification based on unimodal auditory information as revealed by electrotomography (sLORETA). Neuroscience, 259, 25–34.

    Article  Google Scholar 

  • Kesterke, N., Egeter, J., Erhardt, J. B., Jost, B., & Giesinger, K. (2015). Patient-reported outcome assessment after total joint replacement: Comparison of questionnaire completion times on paper and tablet computer. Archives of orthopedic and trauma surgery, 135(7), 935–941.

    Article  Google Scholar 

  • Kim, S. G., & Ogawa, S. (2012). Biophysical and physiological origins of blood oxygenation level- dependent fMRI signals. Journal of Cerebral Blood Flow & Metabolism, 32(7), 1188–1206.

    Article  Google Scholar 

  • Kitzbichler, M. G., Henson, R. N., Smith, M. L., Nathan, P. J., & Bullmore, E. T. (2011). Cognitive effort drives workspace configuration of human brain functional networks. Journal of Neuroscience, 31(22), 8259–8270.

    Article  Google Scholar 

  • Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Sciences, 16(12), 606–617.

    Article  Google Scholar 

  • McDermott, M. A., & Hand, B. (2010). A secondary reanalysis of student perceptions of non-traditional writing tasks over a ten-year period. Journal of Research in Science Teaching, 47(5), 518–539.

    Google Scholar 

  • McKendrick, R., Parasuraman, R., & Ayaz, H. (2015). Wearable functional near-infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): Expanding vistas for neurocognitive augmentation. Frontiers in Systems Neuroscience, 9, 27.

    Article  Google Scholar 

  • Meiri, H., Sela, I., Nesher, P., Izzetoglu, M., Izzetoglu, K., Onaral, B., et al. (2012). Frontal lobe role in simple arithmetic calculations: An fNIRS study. Neuroscience Letters, 510(1), 43–47.

    Article  Google Scholar 

  • Mertens, D. M. (2014). Research and evaluation in education and psychology: Integrating diversity with quantitative, qualitative, and mixed methods. Thousand Oaks, CA: Sage publications.

    Google Scholar 

  • Paas, F. G. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84(4), 429.

    Article  Google Scholar 

  • Peleg-Raibstein, D., Philipp, S., Feldon, J., & Yee, B. K. (2015). Individual difference in prepulse inhibition does not predict spatial learning and memory performance in C57BL/6 mice. Cognitive, Affective, & Behavioral Neuroscience, 15(4), 878–888.

    Article  Google Scholar 

  • Perry-Smith, J. E. (2014). Social network ties beyond nonredundancy: An experimental investigation of the effect of knowledge content and tie strength on creativity. Journal of Applied Psychology, 99(5), 831.

    Article  Google Scholar 

  • Prior, P., & Thorne, S. L. (2014). Research paradigms: Beyond product, process, and social activity. Handbook of writing and text production, 10, 31.

    Google Scholar 

  • Ravet, J., & Williams, J. H. (2017). What we know now: Education, neuroscience and transdisciplinary autism research. Educational Research, 59(1), 1–16.

    Article  Google Scholar 

  • Rohde, T. E., & Thompson, L. A. (2007). Predicting academic achievement with cognitive ability. Intelligence, 35(1), 83–92.

    Article  Google Scholar 

  • Sá, W. C., West, R. F., & Stanovich, K. E. (1999). The domain specificity and generality of belief bias: Searching for a generalizable critical thinking skill. Journal of Educational Psychology, 91(3), 497.

    Article  Google Scholar 

  • Sandoval, W. (2014). Science education’s need for a theory of epistemological development. Science Education, 98(3), 383–387.

    Article  Google Scholar 

  • San Martin, R., & Huettel, S. A. (2013). Cognitive functions as revealed by imaging of the human brain. In Neuroscience in the 21st century: From basic to clinical (pp. 2213–2238).

    Chapter  Google Scholar 

  • Shewokis, P. A., Ayaz, H., Curtin, A., Izzetoglu, K., & Onaral, B. (2013, July). Brain in the loop learning using functional near infrared spectroscopy. In International Conference on Augmented Cognition (pp. 381–389). Berlin, Germany/Heidelberg, Germany: Springer.

    Google Scholar 

  • Son, T., Wang, B., Lu, Y., Chen, Y., Cao, D., & Yao, X. (2017, February). Concurrent OCT imaging of stimulus evoked retinal neural activation and hemodynamic responses. Proceedings of SPIE Volume, 10045, 1004522–1004521.

    Article  Google Scholar 

  • Strauss, E., Sherman, E. M., & Spreen, O. (2006). A compendium of neuropsychological tests: Administration, norms, and commentary. Washington, DC: American Chemical Society.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Lamb .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lamb, R., Hand, B., Yoon, S.Y. (2019). An Exploratory Neuroimaging Study of Argumentative and Summary Writing. In: Prain, V., Hand, B. (eds) Theorizing the Future of Science Education Research. Contemporary Trends and Issues in Science Education, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-24013-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-24013-4_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24012-7

  • Online ISBN: 978-3-030-24013-4

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics