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Novel online video model for learning information technology based on micro learning and multimedia micro content

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Abstract

The ubiquity of mobile devices with internet access and social networks has transformed the way people consume information. Individuals stay connected to platforms for instant communication and sharing of concise messages and videos, which have increased the expectation for objectivity on any offered content. However, this objectivity has been poorly explored in the production of educational content. Aiming to supply this demand, this work proposes a novel online video model to be used in the continuing education of IT professionals. A five-stage process, composed of empathy, definition, ideation, prototype, and tests, has been adopted according to the Design Thinking methodology. All stages were focused on knowing the users’ needs in order to create the video format that satisfies their expectations. The video prototype was sent to a group of 150 people together with an online self-assessment survey whose results were used to confirm the methodology effectiveness by applying a Wilcoxon non-parametric test. The proposed model was able to create satisfactory learning outcomes in 80.30% of the participants and, according to the results of the statistical analysis performed, the video model proved itself efficient in the development of practice and application-level skills.

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References

  • Aitchanov, B., Satabaldiyev, A., Latuta, K. (2013). Application of microlearning technique and twitter for educational purposes. In Journal of physics: Conference series, (Vol. 423 p. 012044): IOP Publishing.

  • Almurashi, W.A. (2016). The effective use of youtube videos for teaching english languagein classrooms as supplementary material at taibah university in alula. International Journal of English Language and Linguistics Research, 4 (3), 32–47.

    Google Scholar 

  • Baumgartner, P. (2013). Educational dimensions of microlearning?towards a taxonomy for microlearning Designing Microlearning Experiences.

  • Brown, T., & Katz, B. (2019). Change by design: How design thinking transforms organizations and inspires innovation Vol. 20091. New York: HarperBusiness.

    Google Scholar 

  • Buchem, I., & Hamelmann, H. (2010). Microlearning: A strategy for ongoing professional development. eLearning Papers, 21(7), 1–15.

    Google Scholar 

  • Buehner, MJ, & May, J. (2003). Rethinking temporal contiguity and the judgement of causality: Effects of prior knowledge, experience, and reinforcement procedure, (Vol. 56.

  • Burks, A.W. (1951). The mathematical theory of communication. The Philosophical Review, 60(3), 398–400.

    Article  MathSciNet  Google Scholar 

  • Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8(4), 293–332.

    Article  Google Scholar 

  • Chugh, R., & Ruhi, U. (2018). Social media in higher education: A literature review of facebook. Education and Information Technologies, 23(2), 605–16.

    Article  Google Scholar 

  • De Winter, J., & Dodou, D. (2010). Five-point likert items: t test versus mann-whitney-wilcoxon (addendum added october 2012). Practical Assessment Research, and Evaluation, 15(1), 11.

    Google Scholar 

  • Dicke, T., Parker, P.D., Marsh, H.W., Kunter, M., Schmeck, A., Leutner, D. (2014). Self-efficacy in classroom management, classroom disturbances, and emotional exhaustion: A moderated mediation analysis of teacher candidates. Journal of educational psychology, 106(2), 569.

    Article  Google Scholar 

  • Dunlap, J.C., & Lowenthal, P.R. (2013). Learning, unlearning, and relearning: Using web 2.0 tech nologies to support the development of lifelong learning skills. In IT Policy and ethics: concepts, methodologies, tools, and applications. IGI global (pp. 170–93).

  • Emerson, L.C., & Berge, Z.L. (2018). Microlearning: Knowledge management applications and competency-based training in the workplace. UMBC Faculty Collection.

  • Floridi, L. (2005). Information ethics, its nature and scope. ACM SIGCAS Computers and Society, 35(2), 3.

    Article  Google Scholar 

  • Glen, R., Suciu, C., Baughn, C.C., Anson, R. (2015). Teaching design thinking in business schools. The International Journal of Management Education, 13(2), 182–92.

    Article  Google Scholar 

  • Hanshaw, G, & Hanson, J. (2018). A mixed methods study of leaders’ perceptions of microlearning for professional development on the job. International Journal of Learning and Development, 8(3), 1–21.

    Article  Google Scholar 

  • Haythornthwaite, C., Kumar, P., Gruzd, A., Gilbert, S., Esteve del Valle, M., Paulin, D. (2018). Learning in the wild: coding for learning and practice on reddit. Learning, Media and Technology, 43(3), 219– 35.

    Article  Google Scholar 

  • Holland, A.A. (2019). Effective principles of informal online learning design: a theory-building metasynthesis of qualitative research. Computers and Education, 128, 214–26.

    Article  Google Scholar 

  • Holsanova, J., Holmberg, N., Holmqvist, K. (2009). Reading information graphics: The role of spatial contiguity and dual attentional guidance. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 23(9), 1215–26.

    Article  Google Scholar 

  • Hug, T. (2007). Didactics of microlearning. Germany: Waxmann.

    Google Scholar 

  • Jomah, O., Masoud, A.K., Kishore, X.P., Aurelia, S. (2016). Micro learning: A modernized education system. BRAIN Broad Research in Artificial Intelligence and Neuroscience, 7(1), 103–10.

    Google Scholar 

  • Kerres, M. (2007). Microlearning as a challenge for instructional design. Didactics of microlearning: Concepts, discourses and examples 98–109.

  • Kovacs, G. (2015). Feedlearn: Using facebook feeds for microlearning. In Proceedings of the 33rd annual ACM Conference extended abstracts on human factors in computing systems (pp. 1461–6).

  • Kyei-Blankson, L., Ntuli, E., Donnelly, H. (2019). Establishing the importance of interaction and presence to student learning in online environments. Journal of Interactive Learning Research, 30(4), 539–60.

    Google Scholar 

  • Littlejohn, S. (1988). Fundamentos teóricos da comunicação humana (a. cabral, trad.). Rio de Janeiro:, Editora Guanabara(Obra original publicada em 1978).

  • López, C.L., & Sullivan, H.J. (1992). Effect of personalization of instructional context on the achievement and attitudes of hispanic students. Educational Technology Research and Development, 40(4), 5–14.

    Article  Google Scholar 

  • MaaSS, K, & Artigue, M. (2013). Implementation of inquiry-based learning in day-to-day teaching: A synthesis. ZDM Mathematics Education, 45(6), 779–95.

    Article  Google Scholar 

  • Marsick, V.J., & Watkins, K.E. (2001). Informal and incidental learning. New directions for adult and continuing education, 2001(89), 25–34.

    Article  Google Scholar 

  • Mautone, P.D., & Mayer, R.E. (2001). Signaling as a cognitive guide in multimedia learning. Journal of educational Psychology, 93(2), 377.

    Article  Google Scholar 

  • Mayer, R.E. (2005). Introduction to multimedia learning. The Cambridge handbook of multimedia learning, 2, 1–24.

    Google Scholar 

  • Mayer, R.E. (2009). Multimedia Learning, 2nd edn. USA: Cambridge University Press.

    Book  Google Scholar 

  • Mayer, R.E., & Moreno, R. (1998). A cognitive theory of multimedia learning: Implications for design principles. Journal of Educational Psychology, 91(2), 358–68.

    Google Scholar 

  • Miller, W.A. (1937). The picture crutch in reading. The Elementary English Review, 14(7), 263–74.

    Google Scholar 

  • Mitterer, H., & perception, McQueen JM. (2009). Foreign subtitles help but native-language subtitles harm foreign speech. PloS One 4(11).

  • Nielsen, J., & Landauer, T.K. (1993). A mathematical model of the finding of usability problems. In Proceedings of the INTERACT’93 and CHI’93 conference on Human factors in 735 computing systems (pp. 206–13).

  • Paas, F., & Sweller, J. (2014). Implications of cognitive load theory for multimedia learning. The Cambridge handbook of multimedia learning, 27, 27–42.

    Article  Google Scholar 

  • Paivio, A. (1990). Mental representations: A dual coding approach Vol. 9. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Plattner, H., Meinel, C., Leifer, L. (2010). Design thinking: understand-improve-apply. New York: Springer Science & Business Media.

    Google Scholar 

  • Ponzanelli, L., Bavota, G., Mocci, A., Di Penta, M., Oliveto, R., Hasan, M., Russo, B., Haiduc, S., Lanza, M. (2016). Too long; didn’t watch! extracting relevant fragments from software development video tutorials. In Proceedings of the 38th international conference on software engineering (pp. 261–72).

  • Rankowski, C.A., & Galey, M. (1979). Effectiveness of multimedia in teaching descriptive geometry. ECTJ, 27(2), 114–20.

    Article  Google Scholar 

  • Rey, G.D., & Steib, N. (2013). The personalization effect in multimedia learning: The influence of dialect. Computers in Human Behavior, 29(5), 2022–8.

    Article  Google Scholar 

  • Rothwell, W.J. (2020). Adult learning basics American Society for Training and Development.

  • Schmidt, A. (2007). Microlearning and the Knowledge Maturing process: Towards Conceptual Foundations for Work-Integrated Microlearning Support na.

  • Schnotz, W., Ludewig, U., Ullrich, M., Horz, H., McElvany, N., Baumert, J. (2014). Strategy shifts during learning from texts and pictures. Journal of Educational Psychology, 106(4), 974.

    Article  Google Scholar 

  • Selwyn, N. (2007). Web 2.0 applications as alternative environments for informal learning-a critical review. In Paper for CERI-KERIS international expert meeting on ICT and educational performance, (Vol. 16 p. 17).

  • Sun, G., Cui, T., Guo, W., Beydoun, G., Xu, D., Shen, J. (2015). Micro learning adaptation in mooc: a software as a service and a personalized learner model. In International conference on web-based learning (pp. 174–84): Springer.

  • Sweller, J., Ayres, P., Kalyuga, S. (2011). Measuring cognitive load. In Cognitive load theory (pp. 71–85): Springer.

  • Taminiau, E.M., Kester, L., Corbalan, G., Spector, J.M., Kirschner, P.A., Van Merriënboer, J.J. (2015). Designing on-demand education for simultaneous development of domainspecific and self-directed learning skills. Journal of Computer Assisted Learning, 31(5), 405–21.

    Article  Google Scholar 

  • Tomlin, W.C. (2018). UX Optimization: combining behavioral UX and usability testing data to optimize websites. New York: Apress.

    Book  Google Scholar 

  • Wittrock, M.C. (1989). Generative processes of comprehension. Educational psychologist, 24(4), 345–76.

    Article  Google Scholar 

  • Wolf, M., & de Figueiredo, M.J.V. (1987). Teorias da comunicação presença.

  • Yap, B.W., & Sim, C.H. (2011). Comparisons of various types of normality tests. Journal of Statistical Computation and Simulation, 81(12), 2141–55.

    Article  MathSciNet  Google Scholar 

  • Zheng, R., McAlack, M., Wilmes, B., Kohler-Evans, P., Williamson, J. (2009). Effects of multimedia on cognitive load, self-efficacy, and multiple rule-based problem solving. British Journal of Educational Technology, 40(5), 790–803.

    Article  Google Scholar 

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  1. Federal University of ABC, 5001, States avenue, Santo André, Brazil

    Ricardo Gerbaudo, Ricardo Gaspar & Romulo Gonçalves Lins

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  1. Ricardo Gerbaudo
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  2. Ricardo Gaspar
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  3. Romulo Gonçalves Lins
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Correspondence to Romulo Gonçalves Lins.

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Gerbaudo, R., Gaspar, R. & Gonçalves Lins, R. Novel online video model for learning information technology based on micro learning and multimedia micro content. Educ Inf Technol 26, 5637–5665 (2021). https://doi.org/10.1007/s10639-021-10537-9

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