Vol. 4 No. 6 (2024): November– December | Pages:621-638

The Effects of Social Cues in Self-Produced Micro Video Lectures on Parasocial Interaction, Motivational Interest, Extraneous Cognitive Load, and Concept Learning Performance: an Empirical Study in a Junior High School

Xuanwen Liu
Graduate School of Business and Advanced Technology Management, Assumption University of Thailand, Thailand, China
https://orcid.org/0009-0005-6698-4270
Changhan Li
Associate Program Director of Ph.D. Art, Music, Sports and Entertainment Management, Graduate School of Business and Advanced Technology Management, Assumption University, Thailand, China
https://orcid.org/0000-0002-3706-605X
Keywords: Concept Learning, , Extraneous Cognitive Load, , Motivational Interest, , Morality and the Rule of Law, , Junior High School.
Published: Nov 11, 2024

Abstract

Background and Aim: Videos are popular in the dissemination of knowledge at scale, which can be seen in various video-based platforms and educational disruption. However, inconsistent results were reported in studies. This research is designed to determine the effectiveness of social cues in self-produced micro video lectures on parasocial interaction, motivational interest, extraneous cognitive load, and concept learning performance and the relationship among them.


Materials and Methods: Self-produced videos for learning concepts of morality and the rule of law in junior high schools were used as the treatment. Tests were used to determine concept learning performance and Likert scales were utilized to collect information on the other three variables. 248 students from the eighth grade in a public school were involved in the sample. One-way ANOVA was used to analyze differences among groups, and path analysis as well as was adopted to determine the relationship between variables.


Results: There was no significant difference among the four groups on each variable. Parasocial interaction has a significant positive impact on motivational interest, motivational interest has a negative significant impact on extraneous cognitive load, and extraneous cognitive load has a negative significant impact on concept learning performance.


Conclusion: The effects of the increment of types of social cues can be ignored in 6-minute self-produced video lectures. Students’ parasocial interaction can influence concept learning performance via the mediation of the cognition process and motivational factors. The extraneous cognitive load decreases with the stimulation of the motivational interest.

Article Details

How to Cite

Liu, X., & Li, C. (2024). The Effects of Social Cues in Self-Produced Micro Video Lectures on Parasocial Interaction, Motivational Interest, Extraneous Cognitive Load, and Concept Learning Performance: an Empirical Study in a Junior High School. International Journal of Sociologies and Anthropologies Science Reviews, 4(6), 621–638. https://doi.org/10.60027/ijsasr.2024.5135

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References

Alemdag, E. (2022). Effects of instructor-present videos on learning, cognitive load, motivation, and social presence: A meta-analysis. Education and Information Technologies, 27, 12713–12742. https://doi.org/10.1007/s10639-022-11154-w

Baylor, A. L. (2009). Promoting motivation with virtual agents and avatars: Role of visual presence and appearance. Philosophical Transactions of the Royal Society B: Biological Sciences, 364, 3559–3565.

Baylor, A. L., & Kim, Y. (2005). Simulating instructional roles through pedagogical agents. International Journal of Artificial Intelligence in Education, 15(2), 95–115. https://content.iospress.com/articles/international-journal-of-artificial-intelligence-in-education/jai15-2-02

Beautemps, J., & Bresges, A. (2022). The influence of the parasocial relationship on the learning motivation and learning growth with educational YouTube videos in self-regulated learning. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.1021798

Beege, M., Krieglstein, F., & Arnold, C. (2022). How instructors influence learning with instructional videos - The importance of professional appearance and communication. Computers & Education, 185, 104531. https://doi.org/10.1016/j.compedu.2022.104531

Beege, M., Schneider, S., Nebel, S., & Rey, G. D. (2017). Look into my eyes! Exploring the effect of addressing in educational videos. Learning and Instruction, 49(49), 113–120. https://doi.org/10.1016/j.learninstruc.2017.01.004

Brecht, H. (2012). Learning from Online Video Lectures. Journal of Information Technology Education: Innovations in Practice, 11, 227–250. https://doi.org/10.28945/1712

Burgoon, J. K., Buller, D. B., Hale, J. L., & Turck, M. A. (1984). Relational messages associated with nonverbal behaviors. Human Communication Research, 10(3), 351–378. https://doi.org/10.1111/j.1468-2958.1984.tb00023.x

Chen, A., Darst, P. W., & Pangrazi, R. P. (2001). An examination of situational interest and its sources. British Journal of Educational Psychology, 71(3), 383–400. https://doi.org/10.1348/000709901158578

Chen, C.M., & Wu, C.H. (2015). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Computers & Education, 80, 108–121. https://doi.org/10.1016/j.compedu.2014.08.015

Cummins, R. G., & Cui, B. (2014). Reconceptualizing address in television programming: The effect of address and affective empathy on viewer experience of parasocial interaction. Journal of Communication, 64(4), 723–742.

Dibble, J. L., Hartmann, T., & Rosaen, S. F. (2016). Parasocial Interaction and Parasocial Relationship: Conceptual Clarification and a Critical Assessment of Measures. Human Communication Research, 42(1), 21–44. https://doi.org/10.1111/hcre.12063

Drobisz, J. (2017). The Effects of Arousal Presented by a Pedagogical Agent on English Language Learners’ Situational Interest [Dissertation]. https://digitalcommons.usf.edu/etd/6695

Fiorella, L., Stull, A. T., Kuhlmann, S., & Mayer, R. E. (2019). Instructor presence in video lectures: The role of dynamic drawings, eye contact, and instructor visibility. Journal of Educational Psychology, 111(7), 1162–1171. https://doi.org/10.1037/edu0000325

Gardner, W. L., & Knowles, M. L. (2008). Love makes you real: Favorite television characters are perceived as “real” in a social facilitation paradigm. Social Cognition, 26, 156–168.

Gullberg, M., & Holmqvist, K. (2006). What speakers do and what addressees look at Visual attention to gestures in human interaction live and on video. Pragmatics and Cognition, 14(1), 53–82. https://doi.org/10.1075/pc.14.1.05gul

Gunawardena, C. N. (1995). Social presence theory and implications for interaction and collaborative learning in computer conferences. International Journal of Educational Telecommunications, 1(2), 147–166. https://www.learntechlib.org/primary/p/15156/

Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement. L@S '14: Proceedings of the first ACM conference on Learning @ scale conference. https://doi.org/10.1145/2556325.2566239

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Advanced diagnostics for multiple regression: A supplement to multivariate data analysis. Advanced Diagnostics for Multiple Regression: A Supplement to Multivariate Data Analysis.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Pearson Prentice Hall.

Hansch, A., Hillers, L., McConachie, K., Newman, C., Schildhauer, T., & Schmidt, P. (2015). Video and online learning: critical reflections and findings from the field. HIIG Discussion Paper Series. http://dx.doi.org/10.2139/ssrn.2577882

Harp, S. F., & Mayer, R. E. (1998). How seductive details do their damage: A theory of cognitive interest in science learning. Journal of Educational Psychology, 90(3), 414–434 https://doi.org/10.1037/0022-0663.90.3.414

Hartmann, T., & Goldhoorn, C. (2011). Horton and Wohl revisited: Exploring viewers' experience of parasocial interaction. Journal of Communication, 61(6), 1104–1121. https://doi.org/10.1111/j.1460-2466.2011.01595.x

Hidi, S., & Renninger, K. A. (2006). The Four-Phase Model of Interest Development. Educational Psychologist, 41(2), 111–127.

Hong, J., Pi, Z., & Yang, J. (2016). Learning declarative and procedural knowledge via video lectures: cognitive load and learning effectiveness. Innovations in Education and Teaching International, 55(1), 74–81. https://doi.org/10.1080/14703297.2016.1237371

Horton, D., & Strauss, A. (1957). Interaction in audience-participation shows. The American Journal of Sociology, 62, 579-587.

Huang, R.H., Liu, D.J., Tlili, A., Yang, J.F., Wang, H.H., Jemni, M., & Burgos, D. (2020). Handbook on Facilitating Flexible Learning During Educational Disruption: The Chinese Experience in Maintaining Undisrupted Learning in COVID-19 Outbreak. Beijing: Smart Learning Institute of Beijing Normal University.

Ishii, K., Lyons, M. M., & Carr, S. A. (2019). Revisiting media richness theory for today and the future. Human Behavior and Emerging Technologies, 1(2), 124–131. https://doi.org/10.1002/hbe2.138

Kim, Y., & Baylor, A. L. (2016). Research-based design of pedagogical agent roles: a review, progress, and recommendations. International Journal of Artificial Intelligence in Education, 26, 160–169. https://doi.org/10.1007/s40593-015-0055-y

Klausmeier, H. J. (1992). Concept Learning and Concept Teaching. Educational Psychologist, 27(3), 267–286. https://doi.org/10.1207/s15326985ep2703_1

Koumi, J. (2006). Designing Video and Multimedia for Open and Flexible Learning. Routledge.

Leppink, J., Paas, F., Van der Vleuten, C. P. M., Van Gog, T., & Van Merriënboer, J. J. G. (2013). Development of an instrument for measuring different types of cognitive load. Behavior Research Methods, 45(4), 1058–1072. https://doi.org/10.3758/s13428-013-0334-1

Martin, A. J. (2003). The Student Motivation Scale: Further Testing of an Instrument that Measures School Students’ Motivation. Australian Journal of Education, 47(1), 88-106. https://doi.org/10.1177/000494410304700107

Marzano, R. J., Pickering, D., & McTighe, J. (1993). Assessing Student Outcomes: Performance Assessment Using the Dimensions of Learning Model. Association for Supervision and Curriculum Development.

Mayer, R. E. (2002). Multimedia Learning. Psychology of Learning and Motivation, 41, 85–139. https://doi.org/10.1016/s0079-7421(02)80005-6

Mayer, R. E. (2014). The Cambridge handbook of multimedia learning (2ed.). Cambridge, MA: Cambridge University Press.

McGee, J. B., & Begg, M. (2008). What medical educators need to know about “Web 2.0.” Medical Teacher, 30(2), 164–169. https://doi.org/10.1080/01421590701881673

McGowan, B. S., Wasko, M., Vartabedian, B. S., Miller, R. S., Freiherr, D. D., & Abdolrasulnia, M. (2012). Understanding the factors that influence the adoption and meaningful use of social media by physicians to share medical information. Journal of Medical Internet Research, 14(5), e117. https://doi.org/10.2196/jmir.2138

McLoughlin, C., & Lee, M. J. W. (2008). The three P’s of pedagogy for the networked society: Personalization, Participation, and Productivity. International Journal of Teaching and Learning in Higher Education, 20(1), 10–27. https://www.learntechlib.org/p/55046/

Moreno, R. (2006). Does the modality principle hold for different media? A test of the method-affects-learning hypothesis. Journal of Computer Assisted Learning, 22(3), 149–158. https://doi.org/10.1111/j.1365-2729.2006.00170.x

Mou, Y., Jing, B., Li, Y., Fang, N., & Wu, C. (2022). Interactivity in learning instructional videos: Sending danmaku improved parasocial interaction but reduced learning performance. Frontiers in Psychology, 13, 1066164.

Nakhleh, M. B., & Mitchell, R. C. (1993). Concept learning versus problem-solving: There is a difference. Journal of Chemical Education, 70(3), 190. https://doi.org/10.1021/ed070p190

Norman, G. (2010) Likert Scales, Levels of Measurement and the Laws of Statistics. Advances in Health Science Education, 15, 625-632. https://doi.org/10.1007/s10459-010-9222-y

Ouwehand, K., Gog, T. van, & Paas, F. (2015). Designing effective video-based modeling examples using gaze and gesture cues. Educational Technology & Society, 18(4), 78–88. https://www.jstor.org/stable/jeductechsoci.18.4.78

Park, B., Plass, J. L., & Brünken, R. (2014). Cognitive and affective processes in multimedia learning. Learning and Instruction, 29, 125–127. https://doi.org/10.1016/j.learninstruc.2013.05.005

Pi, Z., Hong, J., & Yang, J. (2016). 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

Plass, J. L., & Kaplan, U. (2016). Emotional Design in Digital Media for Learning. Emotions, Technology, Design, and Learning, 131–161. https://doi.org/10.1016/b978-0-12-801856-9.00007-4

Pozón-López, I., Higueras-Castillo, E., Muñoz-Leiva, F., & Liébana-Cabanillas, F. J. (2020). Perceived user satisfaction and intention to use massive open online courses (MOOCs). Journal of Computing in Higher Education, 33, 85–120. https://doi.org/10.1007/s12528-020-09257-9

Rodrigo, M. M. T., & Ladrido, E. M. M. (2022). Promoting equity and assuring teaching and learning quality: Magisterial lectures in a Philippine university during the COVID-19 pandemic. Education Sciences, 12(2), 146. https://doi.org/10.3390/educsci12020146

Rudolph, M. (2017). Cognitive theory of multimedia learning. Journal of Online Higher Education, 1(2),1-10.

Sato, W., Kochiyama, T., Uono, S., & Yoshikawa, S. (2009). Commonalities in the neural mechanisms underlying automatic attentional shifts by gaze, gestures, and symbols. NeuroImage, 45(3), 984–992. https://doi.org/10.1016/j.neuroimage.2008.12.052

Scagnoli, N. I., Choo, J., & Tian, J. (2017). Students’ insights on the use of video lectures in online classes. British Journal of Educational Technology, 50(1), 399–414. https://doi.org/10.1111/bjet.12572

Schmeck, A., Opfermann, M., van Gog, T., Paas, F., & Leutner, D. (2014). Measuring cognitive load with subjective rating scales during problem-solving: differences between immediate and delayed ratings. Instructional Science, 43(1), 93–114. https://doi.org/10.1007/s11251-014-9328-3

Schneider, S., Beege, M., Nebel, S., Schnaubert, L., and Rey, G. D. (2021). The cognitive-affective-social theory of Learning in digital environments (CASTLE). Educ. Psychol. Rev. 34, 1–38. doi: 10.1007/s10648-021-09626-5

Schnotz, W., Fries, S., & Horz, H. (2009). Motivational aspects of cognitive load theory. In M. Wosnitza, S. A. Karabenick, A. Efklides, & P. Nenniger (Eds.), Contemporary Motivation Research: From Global to Local Perspectives. Hogrefe & Huber Publishers.

Schramm, H. & Hartmann, T. (2019). German and English version of PSI Process Scales: Short Documentation and Instructions for Application. https://doi.org/10.13140/RG.2.2.29690.82884/1

Schramm, H., & Hartmann, T. (2008). The PSI-process scales: A new measure to assess the intensity and breadth of parasocial processes. Communications, 33(4), 385-401. https://doi.org/10.1515/COMM.2008.025

Schroeder, N. L., & Adesope, O. O. (2014). A Systematic Review of Pedagogical Agents’ Persona, Motivation, and Cognitive Load Implications for Learners. Journal of Research on Technology in Education, 46(3), 229–251. https://doi.org/10.1080/15391523.2014.888265

Seibert, P. S., & Ellis, H. C. (1991). Irrelevant thoughts, emotional mood states, and cognitive task performance. Memory & Cognition, 19(5), 507–513. https://doi.org/10.3758/bf03199574

Sherer, P., & Shea, T. (2011). Using online video to support student learning and engagement. College Teaching, 59(2), 56–59. https://doi.org/10.1080/87567555.2010.511313

Stiller, K. D., Schworm, S., & Gruber, H. (2020). Learning with and from illustrations: Cognitive, motivational, affective, social, and metacognitive processes. In D. E. Delarue & C. Wagner (Eds.), Challenging the iconic turn–Den Iconic Turn neu denken. Wilhelm Fink Verlag.

Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 31(2), 261–292. https://doi.org/10.1007/s10648-019-09465-5

Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive Architecture and Instructional Design. Educational Psychology Review, 10(3), 251–296. https://doi.org/10.1023/a:1022193728205

Um, E. R., Plass, J. L., Hayward, E. O., & Homer, B. D. (2012). Emotional design in multimedia learning. Journal of Educational Psychology, 104(2), 485–498. https://doi.org/10.1037/a0026609

Vollmeyer, R., & Rheinberg, F. (2006). Motivational effects on self-regulated learning with different tasks. Educational Psychology Review, 18(3), 239-253.

Wang, G., & Zhang, Y. (2021). From “Study With Me” to Study with You: how activities of Study With Me live stream on Bilibili facilitates the SRL community. ACM. https://doi.org/10.48550/arXiv.2108.00637

Wang, H., Pi, Z., & Hu, W. (2018). 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. D. (2017). Instructor presence in instructional video: Effects on visual attention, recall, and perceived learning. Computers in Human Behavior, 71, 79–89. https://doi.org/10.1016/j.chb.2017.01.049

Wang, Z., & Adesope, O. (2016). Exploring the effects of seductive details with the 4-phase model of interest. Learning and Motivation, 55, 65–77. https://doi.org/10.1016/j.lmot.2016.06.003

Wiese, C., & Newton, G. (2013). Use of Lecture Capture in Undergraduate Biological Science Education. Canadian Journal for the Scholarship of Teaching and Learning, 4(2). https://www.learntechlib.org/p/152535/

Zea, Q., & Heeyoung, J. (2019). Learning and sharing creative skills with short videos: A case study of user behavior in TikTok and Bilibili. Design Revolutions. International Association of Societies of Design Research Conference 2019.

Zhou, L., Wu, S., Zhou, M., & Li, F. (2020). ‘School’s out, but the class’ on’, the largest online education in the world today: Taking China’s practical exploration during The COVID-19 epidemic prevention and control as an example. Best evid chin edu, 4(2), 501-519.