Abstract
The present study focuses on high school students' acceptance of digital comics creation (DCC) in classroom learning and aims at identifying the factors that affect it. The DCC is a modern ICT activity, which combines the popular and familiar to students medium of comics with the computers. The research model used to explain the students' preference for DCC is based on the technology acceptance model. A partial least squares structural equation modeling was used to analyze the data and examine our research model and corresponding hypotheses. The results confirm the acceptance of the model and show that students' preference for DCC is directly influenced by perceived enjoyment, perceived usefulness and perceived ease of use. Among them, the perceived enjoyment is the stronger influencing factor. Digital comics creation self-efficacy was a significant indirect factor of students’ preference for DCC through perceived ease of use. It is important that teachers take these into consideration and incorporate ICT activities that students enjoy, perceive them as useful and easy to use in order to capture their interest. Teachers should also enhance students’ self-efficacy when providing them with ICT systems. Further relationships among the aforementioned factors and future research directions are also discussed.
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Data availability
The dataset generated during the current study is available from the corresponding author on reasonable request.
References
Alwabel, A. S. A., & Zeng, X. J. (2021). Data-driven modeling od technology acceptance: A machine learning perspective. Expert Systems with Applications, 185, 115584. https://doi.org/10.1016/j.eswa.2021.115584
An, Z., Wang, C., Li, S., Gan, Z., & Li, H. (2021). Technology-assisted self-regulated english language learning: Associations with english language self-efficacy, english enjoyment, and learning outcomes. Frontiers in Psychology, 11, 558466. https://doi.org/10.3389/fpsyg.2020.558466
Baek, Y., & Touati, A. (2017). Exploring how individual traits influence enjoyment in a mobile learning game. Computers in Human Behavior, 69, 347–357. https://doi.org/10.1016/j.chb.2016.12.053
Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4), 211–218.
Bettin, B., Jarvie-Eggart, M., Steelman, K. S., & Wallace, C. (2021). Developing a comic-creation assignment and rubric for teaching and assessing algorithmic concepts. 2021 IEEE Frontiers in Education Conference (FIE), 1–5. https://doi.org/10.1109/FIE49875.2021.9637190
Bourgonjon, J., Valcke, M., Soetaert, R., & Schellens, T. (2010). Students’ perceptions about the use of video games in the classroom. Computers & Education, 54(4), 1145–1156. https://doi.org/10.1016/j.compedu.2009.10.022
Cha, J., Kim, H. B., Kan, S. Y., Foo, W. Y., Low, X. Y., Ow, J. Y., Chandran, P. D. B., Lee, G. E., Yong, J. W. H., & Chia, P. W. (2021). Integrating organic chemical-based socio-scientific issues comics into chemistry classroom: expanding chemists’ toolbox. Green Chemistry Letters and Reviews, 14(4), 689–699. https://doi.org/10.1080/17518253.2021.2005153
Cheng, Y. M. (2011). Antecedents and consequences of e-learning acceptance. Information Systems Journal, 21(3), 269–299. https://doi.org/10.1111/j.1365-2575.2010.00356.x
Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149–210. https://doi.org/10.1007/BF01320076
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quartelrly, 13(3), 319–340. https://doi.org/10.2307/249008
de Graaf, M. M. A., Allouch, S. B., & van Dijk, J. A. G. M. (2019). Why would I use this in my home? A model of domestic social robot acceptance. Human-Computer Interaction, 34(2), 115–173. https://doi.org/10.1080/07370024.2017.1312406
De Grove, F., Bourgonjon, J., & Van Looy, J. (2012). Digital games in the classroom? A contextual approach to teachers’ adoption intention of digital games in formal education. Computers in Human Behavior, 28(6), 2023–2033. https://doi.org/10.1016/j.chb.2012.05.021
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dormann, C., & Biddle, R. (2006). Humour in game based learning. Learning Media and Technology, 31(4), 411–424. https://doi.org/10.1080/17439880601022023
Escobar-Rodriguez, T., & Monge-Lozano, P. (2012). The acceptance of moodle technology by business administration students. Computers & Education, 58(4), 1085–1093. https://doi.org/10.1016/j.compedu.2011.11.012
Fishbein, M., & Ajzen, I. (1975). Belief, attitude and behavior: An introduction to theory and research. Addison-Wesley.
Fu, F. L., Su, R. C., & Yu, S. C. (2009). EGameFlow: A scale to measure learners’ enjoyment of e-learning games. Computers & Education, 52(1), 101–112. https://doi.org/10.1016/j.compedu.2008.07.004
Fussell, S. G., & Truong, D. (2021). Using virtual reality for dynamic learning: An extended technology acceptance model. Virtual Reality, 26, 249–267. https://doi.org/10.1007/s10055-021-00554-x
Grande-de-Prado, M. (2022). Quantitative review of articles about comics & education in Ibero-America. Journal of Graphic Novels and Comics, 13(2), 287–301. https://doi.org/10.1080/21504857.2021.1898428
Granic, A., & Marangunic, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Hanif, A., Jamal, F. Q., & Imran, M. (2018). Extending the technology acceptance model for use of e-learning systems by digital learners. IEEE Access: Practical Innovations, Open Solutions, 6, 73395–73404. https://doi.org/10.1109/ACCESS.2018.2881384
Hoffman, A. (2021). Comics and medicine: Using graphic narratives in pharmacy Education. American Journal of Pharmaceutical Education. https://doi.org/10.5688/ajpe8797
Hughes, R., Hawkins, M., & Lopez, K. (2017). History, literacy, and popular culture. using graphic novels to teach the struggle for racial justice. In E. Janak, & L. A. Sourdot (Eds.), Educating Through Popular Culture. You’re Not Cool Just Because You Teach with Comics (pp. 21–40). Lexington Books.
Hosler, J., & Boomer, K. B. (2011). Are comic books an effective way to engage nonmajors in learning and appreciating science? Life Sciences Education, 10(3), 309–317. https://doi.org/10.1187/cbe.10-07-0090
Jiang, S., Smith, B. E., & Shen, J. (2021). Examining how different modes mediate adolescents’ interactions during their collaborative multimodal composing processes. Interactive Learning Environments, 29(5), 807–820. https://doi.org/10.1080/10494820.2019.1612450
Jimenez, L. M., & Meyer, C. K. (2016). First impressions matter: navigating graphic novels utilizing linguistic, visual, and spatial resources. Journal of Literacy Research, 48(4), 423–447. https://doi.org/10.1177/1086296X16677955
Kirtley, S. E., Garcia, A., & Carlson, P. E. (2020). A once and future pedagogy. In S. E. Kirtley, A. Garcia, & P. E. Carlson (Eds.), With Great Power Comes Great Pedadogy (pp. 3–19). University Press of Mississippi.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205–223. https://doi.org/10.1287/isre.13.2.205.83
Kress, G. (2010). Multimodality: A social semiotic approach to contemporary communication. Routledge.
Kuttner, P. J., Weaver-Hightower, M. B., & Sousanis, N. (2021). Comics-based research: The affordances of comics for research across disciplines. Qualitative Research, 21(2), 195–214. https://doi.org/10.1177/1468794120918845
Lazarinis, F., Mazaraki, A., Verykios, V. S., & Panagiotakopoulos, C. (2015). E-comics in teaching: Evaluating and using comic strip creator tools for educational purposes. 2015 10th International Conference on Computer Science & Education (ICCSE), UK, 305–309. https://doi.org/10.1109/ICCSE.2015.7250261
Lee, D., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers & Education, 61, 193–208. https://doi.org/10.1016/j.compedu.2012.10.001
Li, C., He, L., & Wong, I. A. (2021). Determinants predicting undergraduates’ intention to adopt e-learning for studying english in chinese higher education context: A structural equation modeling approach. Education and Information Technologies, 26, 4221–4239. https://doi.org/10.1007/s10639-021-10462-x
Lin, S. F., Lin, H. S., Lee, L., & Yore, L. (2015). Are science comics a good medium for science communication? The case for public learning of nanotechnology. International Journal of Science Education Part B, 5(3), 276–294. https://doi.org/10.1080/21548455.2014.941040
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217–230. https://doi.org/10.1016/S0378-7206(00)00061-6
Nagata, R. (1999). Learning biochemistry through manga - helping students learn and remember, and making lectures more exciting. Biochemical Education, 27(4), 200–203. https://doi.org/10.1016/S0307-4412(99)00052-7
Padilla-Melendez, A., Garrido-Moreno, A., & Del Aguila-Obra, A. (2008). Factors affecting e-collaboration technology use among management students. Computers & Education, 51(2), 609–623. https://doi.org/10.1016/j.compedu.2007.06.013
Pantaleo, S. (2015). Exploring the intentionality of design in the graphic. Narrative of one middle-years student. Journal of Graphic Novels and Comics, 6(4), 398–418. https://doi.org/10.1080/21504857.2015.1060624
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150–162.
Pratama, A. R. (2021). Fun first, useful later: Mobile learning acceptance among secondary school students in Indonesia. Education and Information Technologies, 26, 1737–1753. https://doi.org/10.1007/s10639-020-10334-w
Reddy, P., Chaudhary, K., Sharma, B., & Chand, R. (2021). The two perfect scorers for technology acceptance. Education and Information Technologies, 26, 1505–1526. https://doi.org/10.1007/s10639-020-10320-2
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. SmartPLS GmbH.
Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access: Practical Innovations, Open Solutions, 7, 128445–128462. https://doi.org/10.1109/ACCESS.2019.2939467
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research. Springer. https://doi.org/10.1007/978-3-319-05542-8_15-1
Scherer, R., & Hatlevik, O. E. (2017). “Sore eyes and distracted” or “excited and confident”? - The role of perceived negative consequences of using ICT for perceived usefulness and self-efficacy. Computers & Education, 115, 188–200. https://doi.org/10.1016/j.compedu.2017.08.003
Scherer, R., Siddiq, F., & Tondeur, J. (2019). 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
Suh, S., Lee, M., Xia, G., & Law, E. (2020). Coding strip: A pedagogical tool for teaching and learning programming concepts through comics. 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 1–10. https://doi.org/10.1109/VL/HCC50065.2020.9127262
Tomte, C., & Hatlevik, O. E. (2011). Gender-differences in self-efficacy ICT related to various ICT-user profiles in Finland and Norway. How do self-efficacy, gender and ICT-user profiles relate to findings from PISA 2006. Computers & Education, 57(1), 1416–1424. https://doi.org/10.1016/j.compedu.2010.12.011
Tsene, L. (2022). Using comics as a media literacy tool for marginalized groups: The case of Athens comics library. Media and Communication, 10(4). https://doi.org/10.17645/mac.v10i4.5716
Wallner, L. (2017). Speak of the bubble–constructing comic. Book bubbles as literary devices in a primary school classroom. Journal of Graphic Novels and Comics, 8(2), 173–192. https://doi.org/10.1080/21504857.2016.1270221
Walton, G., Childs, M., & Jugo, G. (2019). The creation of digital artefacts as a mechanism to engage students in studying literature. British Journal of Educational Technology, 50(3), 1060–1086. https://doi.org/10.1111/bjet.12785
Wiegerova, A., & Navratilova, H. (2017). Let’s not be scared of comics (Researching possibilities of using conceptual comics in teaching nature study in kindergarden). Procedia-Social and Behavioral Science, 237, 1576–1581. https://doi.org/10.1016/j.sbspro.2017.02.248
Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431–449. https://doi.org/10.1016/S1071-5819(03)00114-9
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Linardatos, G., Apostolou, D. Investigating high school students’ perception about digital comics creation in the classroom. Educ Inf Technol 28, 10079–10101 (2023). https://doi.org/10.1007/s10639-023-11581-3
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DOI: https://doi.org/10.1007/s10639-023-11581-3