Abstract
Evidence regarding the benefits of an instructor’s deictic gestures in video lectures on adults’ learning may not necessarily be reflective of their effect on children’s learning. Furthermore, there is a lack evidence regarding how deictic gestures specifically affect learners’ learning process. Based in cognitive load theory, with consideration of the signaling principle and embodiment principle in multimedia learning, the present study sought to determine whether an instructor’s deictic gestures affected young adults’ and children’s learning from video lectures differently. Participants consisted of 60 college students as the young adults sample and 63 pupils as the children sample. Each participant viewed one of two video lectures, either with or without the instructor using deictic gestures. During the experiment, participants’ eye movements, prior knowledge, learning process, and learning performance were recorded and measured. The results of nonparametric tests showed that when the instructor used deictic gestures, the children paid more attention to the video content while the young adults reported a higher learning experience. Both groups demonstrated improved learning performance, regardless of age. Our findings highlight the fact that young adults and children do learn differently from video lectures with an instructor using deictic gestures. Furthermore, our findings contribute to understandings regarding the design of video lectures and video-based learning, specifically, that if an instructor is presenting the content in video lectures, they should be encouraged to use deictic gestures to improve students’ learning.


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The datasets generated during and/or analyzed during the current study are not publicly available due to this study as part of our research program, but are available from the corresponding author on reasonable request.
Notes
† Significance for this test was assumed at a p value of < .05 with Bonferroni correction for multiple testing.
References
Ahmad, N., & Sultana, M. A. (2021). Effects of metacognitive ability and selective attention ability on academic performance of adolescents. Dhaka University Journal of Biological Sciences, 30(1), 59–67. https://doi.org/10.3329/dujbs.v30i1.51809
Alpizar, D., Adesope, O. O., & Wong, R. M. (2020). A meta-analysis of signaling principle in multimedia learning environments. Educational Technology Research and Development, 68, 2095–2119. https://doi.org/10.1007/s11423-020-09748-7
Arslan-Ari, I. (2018). Learning from instructional animations: How does prior knowledge mediate the effect of visual cues? Journal of Computer Assisted Learning, 34(2), 140–149. https://doi.org/10.1111/jcal.12222
Austin, E. E., & Sweller, N. (2017). Getting to the elephants: Gesture and preschoolers’ comprehension of route direction information. Journal of Experimental Child Psychology, 163, 1–14. https://doi.org/10.1016/j.jecp.2017.05.016
Baddeley, A. (1986). Modularity, mass-action, and memory. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 38(4), 527–533. https://doi.org/10.1080/14640748608401613
Baddeley, A., & Hitch, J. (1974). Working memory. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 8, pp. 47–89). Academic Press.
Baylor, A. L., & Kim, S. (2009). Designing nonverbal communication for pedagogical agents: When less is more. Computers in Human Behavior, 25(2), 450–457. https://doi.org/10.1016/j.chb.2008.10.008
Beege, M., Ninaus, M., Schneider, S., Nebel, S., Schlemmel, J., et al. (2020). Investigating the effects of beat and deictic gestures of a lecturer in educational videos. Computers & Education, 156, 103955. https://doi.org/10.1016/j.compedu.2020.103955
Braddick, O., & Atkinson, J. (2011). Development of human visual function. Vision Research, 51(13), 1588–1609. https://doi.org/10.1016/j.visres.2011.02.018
Brecht, H. D. (2012). Learning from online video lectures. Journal of Information Technology Education Innovations in Practice, 11, 227–250. https://doi.org/10.28945/1712
Casey, B. J., Giedd, J. N., & Thomas, K. M. (2000). Structural and functional brain development and its relation to cognitive development. Biological Psychology, 54(1–3), 241–257. https://doi.org/10.1016/S0301-0511(00)00058-2
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). L. Erlbaum Associates.
Crawford, C. M. (2013). Knowledge and freedom: massive open online courses as anywhere and anytime community of practice efforts. Ubiquitous Learning: An International Journal, 5(2), 30–39. https://doi.org/10.18848/1835-9795/CGP/v05i02/58067
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334. https://doi.org/10.1007/BF02310555
Davis, R., & Antonenko, P. (2017). Effects of pedagogical agent gestures on social acceptance and learning: virtual real relationships in an elementary foreign language classroom. Journal of Interactive Learning Research, 28(4), 459–480. http://www.learntechlib.org/p/178295/. Accessed October 2017
Fiorella, L., & Mayer, R. E. (2016). Effects of observing the instructor draw diagrams on learning from multimedia messages. Journal of Educational Psychology, 108(4), 528–546. https://doi.org/10.1037/edu0000065
Fiorella, L., & Mayer, R. E. (2022). Principles based on social cues in multimedia learning: Personalization, voice, image, and embodiment principles. In R. E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (3rd ed., pp. 277–285). Cambridge University Press. https://doi.org/10.1017/9781108894333.029
Frank, S. M., Bründl, S., Frank, U. I., Sasaki, Y., Greenlee, M. W., & Watanabe, T. (2020). Dramatic changes in mechanisms of task-irrelevant visual perceptual learning from childhood to adulthood. Journal of Vision, 20(11), 141. https://doi.org/10.1167/jov.20.11.141
Frank, S. M., Bründl, S., Frank, U. I., Sasaki, Y., & Watanabe, T. (2021). Fundamental differences in visual perceptual learning between children and adults. Current Biology, 31(2), 427–432.e5. https://doi.org/10.1016/j.cub.2020.10.047
Hadad, B., Schwartz, S., Maurer, D., & Lewis, T. L. (2015). Motion perception: a review of developmental changes and the role of early visual experience. Frontiers in Integrative Neuroscience, 9, 49. https://doi.org/10.3389/fnint.2015.00049
Henderson, M. L., & Schroeder, N. L. (2021). A Systematic review of instructor presence in instructional videos: Effects on learning and affect. Computers and Education Open, 2, 100059. https://doi.org/10.1016/j.caeo.2021.100059
Holland, J., Holyoak, K., Nisbett, R., & Thagard, P. (1986). Induction: Processes of inference, learning, and discovery. MIT Press.
Huizinga, M., Dolan, C. V., & Molen, M. (2006). Age-related change in executive function: Developmental trends and a latent variable analysis. Neuropsychologia, 44(11), 2017–2036. https://doi.org/10.1016/j.neuropsychologia.2006.01.010
Kalyuga, S. (2022). The expertise reversal principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (3rd ed., pp. 171–182). Cambridge University Press. https://doi.org/10.1017/9781108894333.017
Kendon, A. (2004). Gesture: Visible action as utterance. University of Chicago Press.
Kiekkas, P., Stefanopoulos, N., Konstantinou, E., Bakalis, N., & Aretha, D. (2016). Development and psychometric evaluation of an instrument for the assessment of nurses’ knowledge on capnography. Collegian, 23(1), 39–46. https://doi.org/10.1016/j.colegn.2014.09.010
Kray, J., Eber, J., & Lindenberger, U. (2004). Age differences in executive functioning across the lifespan: The role of verbalization in task preparation. Acta Psychologica, 115(2–3), 143–165. https://doi.org/10.1016/j.actpsy.2003.12.001
Kuhn, D., & Pease, M. (2006). Do children and adults learn differently? Journal of Cognition and Development, 7(3), 279–293. https://doi.org/10.1207/s15327647jcd0703_1
Lawson, A. P., Mayer, R. E., Adamo-Villani, N., Benes, B., Lei, X., & Cheng, J. (2021). The positivity principle: Do positive instructors improve learning from video lectures? Educational Technology Research and Development, 69, 3101–3129. https://doi.org/10.1007/s11423-021-10057-w
Lee, Y., & Shin, D. (2020). An investigation of the implementation of online classes in the Untact Era caused by the COVID-19 pandemic. Journal of Curriculum and Evaluation, 23(4), 39–57. https://doi.org/10.29221/jce.2020.23.4.39
Macoun, A., & Sweller, N. (2016). Listening and watching: The effects of observing gesture on preschoolers’ narrative comprehension. Cognitive Development, 40, 68–81. https://doi.org/10.1016/j.cogdev.2016.08.005
Mayer, R. E. (2022). Multimedia learning (3rd ed.). Cambridge University Press.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–52. https://doi.org/10.1207/S15326985EP3801_6
Mayer, R. E., Fiorella, L., & Stull, A. (2020). Five ways to increase the effectiveness of instructional video. Educational Technology Research and Development, 68, 837–852. https://doi.org/10.1007/s11423-020-09749-6
McDonald, R. P. (1985). Factor analysis and related methods. Erlbaum.
McDonald, R. P. (1999). Test theory: A unified approach. Erlbaum.
McNeill, D. (1992). Hand and mind: What gestures reveal about thought. University of Chicago Press.
MeNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological Methods, 23(3), 412–433. https://doi.org/10.1037/met0000144
Moreno, R., Reislein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning. Journal of Media Psychology Theories Methods and Applications, 22(2), 52–60. https://doi.org/10.1027/1864-1105/a000008
Ouwehand, K., van Gog, T., & Paas, F. (2015). Designing effective video-based modeling examples using gaze and gesture cues. Journal of Educational Technology & Society, 18(4), 78–88. https://www.jstor.org/stable/jeductechsoci.18.4.78. Accessed October 2015
Paas, F., & van Merriënboer, J. J. (2020). Cognitive-load theory: Methods to manage working memory load in the learning of complex tasks. Current Directions in Psychological Science, 29(4), 394–398. https://doi.org/10.1177/0963721420922183
Pi, Z., Hong, J., & Yang, J. (2017). Effects of the instructor’s pointing gestures on learning performance in video lectures. British Journal of Educational Technology, 48(4), 1020–1029. https://doi.org/10.1111/bjet.12471
Pi, Z., Zhang, Y., Zhu, F., Ke, X., & Hu, W. (2019a). Instructors’ pointing gestures improve learning regardless of their use of directed gaze in video lectures. Computers & Education, 128, 345–352. https://doi.org/10.1016/j.compedu.2018.10.006
Pi, Z., Zhang, Y., Yang, J., Hu, W., & Yang, H. H. (2019b). All roads lead to Rome: Instructors’ pointing and depictive gestures in video lectures promote learning through different patterns of attention allocation. Journal of Nonverbal Behavior, 43, 549–559. https://doi.org/10.1007/s10919-019-00310-5
Pi, Z., Zhu, F., Zhang, Y., Chen, L., & Yang, J. (2022). Complexity of visual learning material moderates the effects of instructor’s beat gestures and head nods in video lectures. Learning and Instruction, 77, 101520. https://doi.org/10.1016/j.learninstruc.2021.101520
Plude, D. J., Enns, J. T., & Brodeur, D. (1994). The development of selective attention: A life-span overview. Acta Psychologica, 86(2–3), 227–272. https://doi.org/10.1016/0001-6918(94)90004-3
Pozuelos, J. P., Paz-Alonso, P. M., Castillo, A., Fuentes, L. J., & Rueda, M. R. (2014). Development of attention networks and their interactions in childhood. Developmental Psychology, 50(10), 2405–2415. https://doi.org/10.1037/a0037469
Riaz, M. N. (2008). Test construction: Development and standardization of psychological tests in Pakistan. HEC.
Savage, R. D. (1966). Readings in clinical psychology. Pergamon Press.
Schneider, S., Beege, M., Nebel, S., & Rey, G. D. (2018). A meta-analysis of how signaling affects learning with media. Educational Research Review, 23, 1–24. https://doi.org/10.1016/j.edurev.2017.11.001
Shah, D. (2021). A Decade of MOOCs: A Review of MOOC Stats and Trends in 2021. Class Central. https://www.classcentral.com/report/moocs-stats-and-trends-2021/. Accessed 14 Dec 2021
Stafford, J., Rodger, M., Gómez-Jordana, L. I., Whyatt, C., & Craig, C. M. (2021). Developmental differences across the lifespan in the use of perceptual information to guide action-based decisions. Psychological Research Psychologische Forschung, 86, 268–283. https://doi.org/10.1007/s00426-021-01476-8
Stull, A. T., Fiorella, L., & Mayer, R. E. (2018). An eye-tracking analysis of instructor presence in video lectures. Computers in Human Behavior, 88, 263–272. https://doi.org/10.1016/j.chb.2018.07.019
Stull, A. T., Fiorella, L., & Mayer, R. E. (2020). The case for embodied instruction: The instructor as a source of attentional and social cues in video lectures. Journal of Educational Psychology, 113(7), 1441–1453. https://doi.org/10.1037/edu0000650
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1016/0364-0213(88)90023-7
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer.
Taylor, C. M., Olulade, O. A., Luetje, M. M., & Eden, G. F. (2018). An fMRI study of coherent visual motion processing in children and adults. NeuroImage, 173, 223–239. https://doi.org/10.1016/j.neuroimage.2018.02.001
Valenzeno, L., Alibali, M. W., & Klatzky, R. (2003). Teachers’ gestures facilitate students’ learning: A lesson in symmetry. Contemporary Educational Psychology, 28(2), 187–204. https://doi.org/10.1016/S0361-476X(02)00007-3
van Gog, T. (2022). The signaling (or cueing) principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (3rd ed., pp. 221–230). Cambridge University Press. https://doi.org/10.1017/9781108894333.022
Vaughan, B. (2018). A Rasch analysis of the revised study process questionnaire in an Australian osteopathy student cohort. Studies in Educational Evaluation, 56, 144–153. https://doi.org/10.1016/j.stueduc.2017.12.003
Wang, H., Pi, Z., & Hu, W. (2019). The instructor’s gaze guidance in video lectures improves learning. Journal of Computer Assisted Learning, 35(1), 42–50. https://doi.org/10.1111/jcal.12309
Wang, J., Antonenko, P., & Dawson, K. (2020). Does visual attention to the instructor in online video affect learning and learner perceptions? An eye-tracking analysis. Computers & Education, 146, 103779. https://doi.org/10.1016/j.compedu.2019.103779
Wermeskerke, M. V., Fijan, N., Eielts, C., & Pouw, W. (2016). Observation of depictive versus tracing gestures selectively aids verbal versus visual-spatial learning in primary school children. Applied Cognitive Psychology, 30(5), 806–814. https://doi.org/10.1002/acp.3256
Wittrock, M. C. (1989). Generative processes of comprehension. Educational Psychologist, 24, 345–376. https://doi.org/10.1207/s15326985ep2404_2
Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grant [62007023, 62177027]; the Social Science Foundation of Shaanxi Province under Grant [2020P021]; and the Fundamental Research Funds for Central Universities of China under Grant (Excellent Doctoral Thesis Cultivation Project in Central China Normal University) [2022YBZZ026].
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Jiumin Yang: Conception and design of study, drafting the manuscript, revising the manuscript critically for important intellectual content.
Fangfang Zhu: Acquisition of data, analysis and/or interpretation of data, revising the manuscript critically for important intellectual content.
Yirui Jiang: Conception, acquisition of data, analysis and/or interpretation of data.
Zhongling Pi: Conception and design of study
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Yang, J., Zhu, F., Jiang, Y. et al. Do adults and children learn differently from video lectures with an instructor’s deictic gestures?. Educ Inf Technol 28, 8377–8400 (2023). https://doi.org/10.1007/s10639-022-11523-5
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DOI: https://doi.org/10.1007/s10639-022-11523-5