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Exploring eye-tracking analyses of EFL learners’ cognitive processing of reduced relative clause

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Abstract

Eye-tracking technique is regarded as a reliable sensitive measurement to detect the regulation of eye movements, from which the objective visual data could be detected to explain invisible cognitive behavior. This paper employed eye-tracking sensors to examine how learners process reduced relative clause (RRC) sentences. The current research recruited 60 college students from a Chinese university to read three different types of RRC exemplars: left-branching, center-embodied and right-branching, and the sentences of each type were inserted frequent and/or infrequent verbs. The eye trackers were utilized to capture their eyes movements, and the instant visual data including fixation duration, fixation count as well as the scanning path were collected, compared and analysed. The results indicated that learners had the highest cognitive load when processing the center-embedded type of RRC, followed by the right-branching type and the left-branching type. Additionally, when the participant’s cognitive load is at a high level, the influence of verb frequency tends to be diminished. Besides, the results also revealed that the focus on the key areas, such as the conjunction, played a critical role in sentence processing. Furthermore, there leave several valuable practical and theoretical implications for further research. Firstly, eye-tracking technology is an adaptability for the measurement of mental process, which provide visualized evaluation of human–computer interaction. Secondly, the cognitive load theory could be extended and further studied though biofeedback data in the future.

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References

  1. Bornkessel-Schlesewsky, I., Schlesewsky, M., Small, S.L., Rauschecker, J.P.: Neurobiological roots of language in primate audition: common computational properties. Trends Cogn. Sci. 19(3), 142–150 (2015)

    Article  Google Scholar 

  2. DeLong, K.A., Troyer, M., Kutas, M.: Pre-processing in sentence comprehension: sensitivity to likely upcoming meaning and structure. Lang. Linguist. Compass 8(12), 631–645 (2014)

    Article  Google Scholar 

  3. Sweller, J.: Element interactivity and intrinsic, extraneous, and germane cognitive load. Educ. Psychol. Rev. 22(2), 123–138 (2010)

    Article  Google Scholar 

  4. Karabenick, S.A., Woolley, M.E., Friedel, J.M., Ammon, B.V., Blazevski, J., Bonney, C.R., Kempler, T.M.: Cognitive processing of self-report items in educational research: do they think what we mean? Educ. Psychol. 42(3), 139–151 (2007)

    Article  Google Scholar 

  5. Lachman, R., Lachman, J.L., Butterfield, E.C.: Cognitive Psychology and Information Processing: An Introduction. Psychology Press, East Sussex (2015)

    Book  Google Scholar 

  6. Scheiter, K., Van Gog, T.: Using eye tracking in applied research to study and stimulate the processing of information from multi-representational sources. Appl. Cogn. Psychol. 23(9), 1209–1214 (2009)

    Article  Google Scholar 

  7. Underwood, G., Everatt, J.: The role of eye movements in reading: some limitations of the eye-mind assumption. Adv. Psychol. 88, 111–169 (1992)

    Article  Google Scholar 

  8. Bal, E., Harden, E., Lamb, D., Van Hecke, A.V., Denver, J.W., Porges, S.W.: Emotion recognition in children with autism spectrum disorders: relations to eye gaze and autonomic state. J. Autism Dev. Disord. 40(3), 358–370 (2010)

    Article  Google Scholar 

  9. Rapoport, M., van Reekum, R., Mayberg, H.: The role of the cerebellum in cognition and behavior: a selective review. J. Neuropsychiatry Clin. Neurosci. 12(2), 193–198 (2000)

    Article  Google Scholar 

  10. Spivey-Knowlton, M., Tanenhaus, M.: 17 referential context and syntactic ambiguity resolution. In: Clifton, C., Frazier, L., Rayner, K. (eds.) Perspectives on Sentence Processing, vol. 49. Lawrence Erlbaum Associates, Hilsdale (2015)

    Google Scholar 

  11. Abeysekera, L., Dawson, P.: Motivation and cognitive load in the flipped classroom: definition, rationale and a call for research. High. Educ. Res. Dev. 34(1), 1–14 (2015)

    Article  Google Scholar 

  12. Chen, C.-M., Wu, C.-H.: Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Comput. Educ. 80, 108–121 (2015)

    Article  Google Scholar 

  13. Chu, H.-C.: Potential negative effects of mobile learning on students’ learning achievement and cognitive load—a format assessment perspective. J. Educ. Technol. Soc. 17(1), 332–344 (2014)

    Google Scholar 

  14. Paas, F.G., Van Merriënboer, J.J., Adam, J.J.: Measurement of cognitive load in instructional research. Percept. Mot. Skills 79(1), 419–430 (1994)

    Article  Google Scholar 

  15. Paas, F., Tuovinen, J.E., Van Merrienboer, J.J., Darabi, A.A.: A motivational perspective on the relation between mental effort and performance: optimizing learner involvement in instruction. Educ. Tech. Res. Dev. 53(3), 25–34 (2005)

    Article  Google Scholar 

  16. Schmeck, A., Opfermann, M., van Gog, T., Paas, F., Leutner, D.: Measuring cognitive load with subjective rating scales during problem solving: differences between immediate and delayed ratings. Instr. Sci. 43(1), 93–114 (2015)

    Article  Google Scholar 

  17. Paas, F., Renkl, A., Sweller, J.: Cognitive load theory: instructional implications of the interaction between information structures and cognitive architecture. Instr. Sci. 32(1), 1–8 (2004)

    Article  Google Scholar 

  18. Young, J.Q., Van Merrienboer, J., Durning, S., Ten Cate, O.: Cognitive load theory: implications for medical education: AMEE guide no. 86. Med. Teach. 36(5), 371–384 (2014)

    Article  Google Scholar 

  19. Wang, Q., Yang, S., Liu, M., Cao, Z., Ma, Q.: An eye-tracking study of website complexity from cognitive load perspective. Decis. Support Syst. 62, 1–10 (2014)

    Article  Google Scholar 

  20. Just, M.A., Carpenter, P.A.: Eye fixations and cognitive processes. Cogn. Psychol. 8(4), 441–480 (1976)

    Article  Google Scholar 

  21. Reichle, E.D.: Computational Models of Eye-Movement Control During Reading: Theories of the “Eye–Mind” Link. Elsevier, Amsterdam (2006)

    Google Scholar 

  22. Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124(3), 372–422 (1998)

    Article  Google Scholar 

  23. Liversedge, S.P., Findlay, J.M.: Saccadic eye movements and cognition. Trends Cogn. Sci. 4(1), 6–14 (2000)

    Article  Google Scholar 

  24. Liu, H.-C., Chuang, H.-H.: An examination of cognitive processing of multimedia information based on viewers’ eye movements. Interact. Learn. Environ. 19(5), 503–517 (2011)

    Article  Google Scholar 

  25. Yang, P.-L., Shih, S.-C.: A reading-time study of the main verb versus reduced relative clause ambiguity resolution by English learners in Taiwan. Appl. Psycholinguist. 34(6), 1109–1133 (2013)

    Article  Google Scholar 

  26. Bybee, J.: Regular morphology and the lexicon. Lang. Cogn. Process. 10(5), 425–455 (1995)

    Article  Google Scholar 

  27. Ellis, N.C., Ferreira–Junior, F.: Construction learning as a function of frequency, frequency distribution, and function. Mod. Lang. J. 93(3), 370–385 (2009)

    Article  Google Scholar 

  28. Englert, C.S., Thomas, C.C.: Sensitivity to text structure in reading and writing: a comparison between learning disabled and non-learning disabled students. Learn. Disabil. Q. 10(2), 93–105 (1987)

    Article  Google Scholar 

  29. Rayner, K.: Eye movements and attention in reading, scene perception, and visual search. Q. J. Exp. Psychol. 62(8), 1457–1506 (2009)

    Article  Google Scholar 

  30. Paterson, K.B., Liversedge IV, S.P., Underwood, G.: The influence of focus operators on syntactic processing of short relative clause sentences. Q. J. Exp. Psychol. Sect. A 52(3), 717–737 (1999)

    Article  Google Scholar 

  31. Juffs, A., Harrington, M.: Garden path sentences and error data in second language sentence processing. Lang. Learn. 46(2), 283–323 (1996)

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the Anhui Provincial Social Science Project (Grant: SK2017ZD42), and Anhui Educational Reform Project (Grant: 2015zdjy115).

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Authors and Affiliations

  1. School of Educational Technology, Faculty of Education, Beijing Normal University, Beijing, 100875, China

    Xuesong Zhai & Yan Dong

  2. Anhui Provincial Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, 230022, China

    Xuesong Zhai

  3. Smart Learning Institute, Beijing Normal University, Beijing, 100875, China

    Xuesong Zhai

  4. School of Foreign Language, Anhui Jianzhu University, Hefei, 230022, China

    Shengfen Wang

  5. Primary Education College, Capital Normal University, Beijing, 100048, China

    Li Wang

  6. School of Foreign Study, Anhui Sanlian University, Hefei, 230601, China

    Jing Yuan

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  1. Xuesong Zhai
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  2. Yan Dong
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  4. Li Wang
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Correspondence to Shengfen Wang.

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Zhai, X., Dong, Y., Wang, S. et al. Exploring eye-tracking analyses of EFL learners’ cognitive processing of reduced relative clause. Cluster Comput 22 (Suppl 6), 14181–14192 (2019). https://doi.org/10.1007/s10586-018-2263-3

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  • DOI: https://doi.org/10.1007/s10586-018-2263-3

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