University Students’ Attitudes Toward Influencer-Style Pedagogical Delivery: A Cross-National Study of Brunei Darussalam and Indonesia

Authors

DOI:

https://doi.org/10.35307/saltel.v9i2.183

Keywords:

pedagogical delivery, influencer-style communication, elaboration likelihood model, student attitudes, university education

Abstract

The characteristics of social media influencers (charismatic personas, storytelling, humour and the use of layman’s terms) have increasingly permeated into higher education, but there has been little empirical research on how the delivery of social media influencers influences the attitudes of students in formal university setting, especially in Southeast Asian settings. The study investigates the attitudes of university students towards the use of influencer’s pedagogical style, based on Petty and Cacioppo’s (1986) Elaboration Likelihood Model (ELM), which distinguishes between the academic content quality (central route) and the stylistic/persona cues (peripheral route). A quantitative, cross-sectional survey was conducted on a convenience sample of 120 students (70 from Brunei Darussalam and 50 from Bandung, Indonesia) with five-point Likert scales and analysed with SPSS with Pearson correlation, multiple linear regression and independent samples t-text. The reliability of all constructs was very high (α = .908 – .951) The results showed that there was a strong and positive correlation between content quality and attitudes (r = .860) and also between stylistic/persona cues and attitudes (r = .796). The overall model accounted 80.2% of the variance in attitude, with content quality being the more powerful predictor (β = .597) and stylistic/persona cues being a significant independent predictor (β = .363). A significant difference in positive attitudes was found between the Indonesian (M – 3.83) and Bruneian (M = 3.51) respondents. Lastly, the study suggests that the influence-pedagogy approach combine intellectual rigour with entertaining presentations and be applied culturally appropriate to each country’s higher education system.

Downloads

Download data is not yet available.

Author Biographies

Diyaanah Suhaini, Universiti Teknologi Brunei

Undergraduate Student at the Centre for Communication, Teaching and Learning (CCTL), Universiti Teknologi Brunei (UTB). Her research interests include language, communication, and education. Email: diyaanah.suhaini@gmail.com

Lee Kok Yueh, Universiti Teknologi Brunei

Lecturer at the Centre for Communication, Teaching and Learning (CCTL), Universiti Teknologi Brunei, Jln Tungku Link, Gadong, Brunei. Her research interests are in teaching and learning. Her research interests are teaching approaches and assessment and feedback in higher education. She has a track record of applying mixed-methods research designs, combining surveys, interviews, and content analysis to study perceptions and attitudes. Email: kokyueh.lee@utb.edu.bn

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Ali, H. I. H., & Ajmi, A. a. S. A. (2013). Exploring Non-Instructional Factors in Student Evaluations. Higher Education Studies, 3(5). https://doi.org/10.5539/hes.v3n5p81

Audrezet, A., de Kerviler, G., & Guidry Moulard, J. (2020). Authenticity under threat: When social media influencers need to go beyond self-presentation. Journal of Business Research, 117, 557–569. https://doi.org/10.1016/j.jbusres.2018.07.008

Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805–825. https://doi.org/10.2307/25148755

Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). Open University Press.

Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.

Chaiken, S., & Trope, Y. (Eds.). (1999). Dual-process theories in social psychology. Guilford Press.

Chetioui, Y., Benlafqih, H., & Lebdaoui, H. (2020). How fashion influencers contribute to consumers' purchase intention. Journal of Fashion Marketing and Management, 24(3), 361–380. https://doi.org/10.1108/JFMM-08-2019-0157

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Cook, S., Watson, D., & Webb, R. (2024). Performance evaluation in teaching: Dissecting student evaluations in higher education. Studies in Educational Evaluation, 81, 101342. https://doi.org/10.1016/j.stueduc.2024.101342

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Cruchinho, P., López-Franco, M. D., Capelas, M. L., Almeida, S., Bennett, P. M., Da Silva, M. M., Teixeira, G., Nunes, E., Lucas, P., & Gaspar, F. (2024). Translation, Cross-Cultural Adaptation, and Validation of Measurement Instruments: A Practical Guideline for Novice Researchers. Journal of Multidisciplinary Healthcare, Volume 17, 2701–2728. https://doi.org/10.2147/jmdh.s419714

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035

DeVellis, R. F. (2016). Scale development: Theory and applications (4th ed.). SAGE Publications.

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

Evans, C., Muijs, D., & Tomlinson, M. (2017). Engaged student learning: High-impact strategies to enhance student achievement. University of Southampton.

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059

Freberg, K., Graham, K., McGaughey, K., & Freberg, L. A. (2011). Who are the social media influencers? A study of public perceptions of personality. Public Relations Review, 37(1), 90–92. https://doi.org/10.1016/j.pubrev.2010.11.001

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference (4th ed.). Allyn & Bacon.

Government of Brunei Darussalam. (2007). Brunei Darussalam long-term development plan: Wawasan Brunei 2035. Prime Minister's Office.

Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.

Jayawardena, N. S. (2020). The e-learning persuasion through gamification: an elaboration likelihood model perspective. Young Consumers Insight and Ideas for Responsible Marketers, 22(3), 480–502. https://doi.org/10.1108/yc-08-2020-1201

Ki, C. W. C., & Kim, Y. K. (2019). The mechanism by which social media influencers persuade consumers: The role of consumers' desire to mimic. Psychology & Marketing, 36(10), 905–922. https://doi.org/10.1002/mar.21244

Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.

Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers & Education, 54(2), 600–610. https://doi.org/10.1016/j.compedu.2009.09.009

Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58–73. https://doi.org/10.1080/15252019.2018.1533501

Martinez-Lopez, F. J., Anaya-Sanchez, R., Fernandez Giordano, M., & Lopez-Lopez, D. (2020). Behind influencer marketing: Key marketing decisions and their effects on followers' responses. Journal of Marketing Management, 36(7–8), 579–607. https://doi.org/10.1080/0267257X.2020.1738525

Matheson, C. (2008). The educational value and effectiveness of lectures. The Clinical Teacher, 5(4), 218–221. https://doi.org/10.1111/j.1743-498x.2008.00238.x

Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.

Moran, M., Seaman, J., & Tinti-Kane, H. (2022). Blogs, wikis, podcasts and Facebook: How today's higher education faculty use social media. Pearson Learning Solutions.

Mumin, M. A. (2022). International postgraduates’ perception on Academic Writing: A lesson on criticality. World Journal of English Language, 12(4), 1-46. https://doi.org/10.5430/wjel.v12n4p46

Mumin, M. A. (2023). The Application of Code switching, Code mixing, and the need for Bilingual Pedagogy in Brunei Religious (Ugama) Schools: A Qualitative Study Inv olving Generation X and Millennial Teachers. World Journal of English Language, 13(8), 523–531. https://doi.org/10.5430/wjel.v13n8p523

Mumin, M.A., Ahmad, A., Yusof, H.N., Rahim, A.& Afdanzian, N.(2025). Communicative Language Attitude and Language Choices of Bruneian Youths, Forum for Linguistic Studies,7(7),540-564. http://dx.doi.org/10.30564/fls.v7i7.9996

Pallant, J. (2020). SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS (7th ed.). McGraw-Hill Education.

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2

Petty, R. E., & Wegener, D. T. (1999). The elaboration likelihood model: Current status and controversies. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 37–72). Guilford Press.

Petty, R. E., Wheeler, S. C., & Tormala, Z. L. (2004). Persuasion and attitude change. In T. Millon & M. J. Lerner (Eds.), Handbook of psychology: Personality and social psychology (Vol. 5, pp. 353–382). John Wiley & Sons.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Reinikainen, H., Munnukka, J., Maity, D., & Luoma-aho, V. (2020). 'You really are a great big sister' — parasocial relationships, credibility, and the moderating role of audience comments in influencer marketing. Journal of Marketing Management, 36(3–4), 279–298. https://doi.org/10.1080/0267257X.2019.1708781

Rozaimee, F., & Mumin, M. A. (2025). ChatGPT integration in writing development. World Journal of English Language, 15(8).

Salama, R., & Hinton, T. (2023). Online higher education: current landscape and future trends. Journal of Further and Higher Education, 47(7), 913–924. https://doi.org/10.1080/0309877X.2023.2200136

Scherer, R., Siddiq, F., & Tondeur, J. (2018). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009

Seemiller, C., & Grace, M. (2019). Generation Z: A century in the making. Routledge.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742. https://doi.org/10.1016/j.jretconser.2019.01.011

Statista. (2024). Social media usage in Southeast Asia: Statistics and facts. Statista Research Department. https://www.statista.com/topics/10537/social-media-in-southeast-asia/?srsltid=AfmBOoo5sGpWgbgvVfcoUVOQ7z9urcFcMHTac1CY6Cl7nN9ILkGcDpgX#topicOverview

Suhaini, A. & Mumin, M.A. (2025). The Impact of Internet Slang on Informal Communication Among Bruneian Gen Z. SALTeL Journal (Southeast Asia Language Teaching and Learning) 8(2), 28-43.

Taber, K. S. (2018). The use of Cronbach's alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2

Thi-Hai, H., DO, & Murphy, W. H. (2025). Social media influencers and artificial intelligence: Opportunities and challenges. Journal of Social Media Marketing, 4(2), 1–21. https://doi.org/10.33422/jsmm.v4i2.1550

Torres, P., Augusto, M., & Matos, M. (2019). Antecedents and outcomes of digital influencer endorsement: An exploratory study. Psychology & Marketing, 36(12), 1267–1276. https://doi.org/10.1002/mar.21274

Trigwell, K., & Prosser, M. (2020). Qualitative variation in constructive alignment in curriculum design. Higher Education, 79(3), 511–524. https://doi.org/10.1007/s10734-013-9701-1

Trivedi, J., & Sama, R. (2020). The effect of influencer marketing on consumers' brand admiration and online purchase intentions: An emerging market perspective. Journal of Internet Commerce, 19(1), 103–124. https://doi.org/10.1080/15332861.2019.1700741

Twenge, J. M. (2023). Generations: The real differences between Gen Z, Millennials, Gen X, Boomers, and Silents. Atria Books.

United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. United Nations General Assembly. https://sdgs.un.org/2030agenda

V9N226-04

Downloads

Published

2026-07-30

How to Cite

Suhaini, D., & Yueh, L. K. (2026). University Students’ Attitudes Toward Influencer-Style Pedagogical Delivery: A Cross-National Study of Brunei Darussalam and Indonesia. SALTeL Journal (Southeast Asia Language Teaching and Learning), 9(2), 56–73. https://doi.org/10.35307/saltel.v9i2.183

Issue

Section

Articles

Similar Articles

<< < 4 5 6 7 8 9 

You may also start an advanced similarity search for this article.