Skip to main content

Advertisement

Log in

Four-component instructional design (4C/ID) model: a meta-analysis on use and effect

  • Original Paper
  • Published:
Learning Environments Research Aims and scope Submit manuscript

Abstract

The four-component instructional design model (4C/ID) has been increasingly used in face-to-face and online learning environments. We present a meta-analysis on the use and effect on performance of educational programs developed with the 4C/ID model after more than 20 years of its application and research in different academic areas and technical training. We performed the meta-analysis through the combination of effect sizes from studies using Cohen’s d. The combination of the studies suggests that the use of educational programs developed with 4C/ID has a high impact on performance (d = 0.79 standard deviations), regardless of the academic area, the design of the study and the outcome (knowledge and complex skills). The grade under study was a significant moderator on the effect, showing that the higher-education level is more suitable for application of the 4C/ID model. Our results suggest that the use of the 4C/ID model should be prioritized as an instructional model in college and university learning environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • 4CID.org. (2020). Retrieved from https://www.4cid.org/home

  • Anderson, J. R. (1983). The architecture of cognition. Harvard University Press.

  • Anderson, J. R. (1993). Rules of the mind. Erlbaum.

  • Baddeley, A. (1997). Human memory. Theory and practice (revised). Psychology Press.

  • Blessing, S. B., & Anderson, J. R. (1996). How people learn to skip steps. Journal Experimental Psychology: Learning, Memory, Cognition, 22, 576–598.

    Google Scholar 

  • Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2009). Introduction to meta-analysis. Chichester, United Kingdom: Wiley.

    Book  Google Scholar 

  • Bransford, J., Brown, A., & Cocking, R. (2000). How people learn: Brain, mind, experience and school (expanded ed.). Washington, DC.: National Academy Press.

  • Bruner, J. S. (1966). Toward a theory of instruction. The Belnap Press of Harvard University Press.

  • Coe, R. (2002). It’s the effect size, stupid: What effect size is and why it is important. In: Paper presented at the British Educational Research Association Annual Conference, Exeter.

  • Conboy, J. (2003). Algumas medidas típicas univariadas da magnitude do efeito. Análise Psicológica, 2(21), 145–158.

    Google Scholar 

  • Costa, J. (2019). Microworlds with different pedagogical approaches in introductory programming learning: Effects in programming knowledge and logical reasoning. Informatica, 43, 145–174. https://doi.org/10.31449/inf.v43i1.2657

    Article  Google Scholar 

  • Costa, J., & Miranda, G. L. (2019). Using Alice software with 4C/ID model: Effects in programming knowledge and logical reasoning. Informatics in Education, 18(1), 1–15. https://doi.org/10.15388/infedu.2019.01

    Article  Google Scholar 

  • Deep, A., Murthy, S., & Bhat, J. (2020). Geneticus Investigatio: A technology-enhanced learning environment for scaffolding complex learning in genetics. Research and Practice in Technology Enhanced Learning. https://doi.org/10.1186/s41039-020-00145-5

    Article  Google Scholar 

  • Flores, R. (2011). Examining the design and impact of adaptively faded worked examples on high school students´ mathematics problem solving skills. Doctoral dissertation, Texas Tech University. Retrieved from: https://ttu-ir.tdl.org/handle/2346/ETD-TTU-2011-08-1755.

  • Frerejean, J., van Merriënboer, J. J. G., Kirschner, P. A., Roex, A., Aertgeerts, B., & Marcellis, M. (2019). Designing instruction for complex learning: 4C/ID in higher education. European Journal of Education, 54(4), 513–524.

    Article  Google Scholar 

  • Harrer, M., Cuijpers, P., Furukawa, T.A, & Ebert, D. D. (2019). Doing meta-analysis in R: A hands-on guide. https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/. Accessed 01 June 2020. https://doi.org/10.1111/ejed.12363

  • Kester, L., Kirschner, P. A., van Merriënboer, J. J. G., & Baumer, A. (2001). Just-in-time information presentation and the acquisition of complex cognitive skills. Computers in Human Behaviour, 17, 373–391.

    Article  Google Scholar 

  • Kester, L., Kirschner, P., & van Merriënboer, J. (2004). Information presentation and troubleshooting in electrical circuits. International Journal of Science Education, 26(6), 239–256. https://doi.org/10.1080/69032000072809.

    Article  Google Scholar 

  • Kolcu, M. İB., Öztürkçü, Ö. S. K., & Kaki, G. D. (2020). Evaluation of a distance education course using the 4C-ID model for continuing endodontics education. Journal of Dental Education, 84(1), 62–71.

    Article  Google Scholar 

  • Lenhard, W., & Lenhard, A. (2016). Calculation of effect sizes. Retrieved from: https://www.psychometrica.de/effect_size.html. Dettelbach (Germany): Psychometrica. https://doi.org/10.13140/RG.2.2.17823.92329

  • Lim, J., & Park, S. (2012). An instructional method for competency-based e-learning: A whole-task approach. In P. Resta (Ed.), Proceedings of Society for Information Technology and Teacher Education International Conference (pp. 580–585). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE).

  • Lim, J., Reiser, R., & Olina, Z. (2009). The effects of part-task and whole-task instructional approaches on acquisition and transfer of a complex cognitive skill. Educational Technology Research and Development, 57, 61–77. https://doi.org/10.1007/s11423-007-9085-y

    Article  Google Scholar 

  • Maggio, L. A., Cate, O. T., Irby, D. M., & O’Brien, B. C. (2015). Designing evidence-based medicine training to optimize the transfer of skills from the classroom to clinical practice: Applying the four component instructional design model. Academic Medicine, 90, 1457–1461. https://doi.org/10.1097/ACM.0000000000000769

    Article  Google Scholar 

  • Martínez-Mediano, C., & Losada, N. R. (2017). Internet-based performance support systems in engineering education. Revista Iberoamericana De Tecnologias Del Aprendizaje, 12(2), 86–93. https://doi.org/10.1109/RITA.2017.2697778

    Article  Google Scholar 

  • Mayer, R. (2014). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (2nd ed., pp. 43–71). Cambridge University Press.

  • Mayer, R. E., & Sims, V. K. (1994). For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning. Journal of Educational Psychology, 86, 389–401.

    Article  Google Scholar 

  • Melo, M., & Miranda, G. L. (2014). Applying the 4C-ID model to the design of a digital educational resource for teaching electric circuits: Effects on student achievement. In H. M. Fardou, and J. A. Gallud (Eds). Proceedings of the 2014 Workshop on Interaction Design in Educational Environments (IDEE’14) (pp. 12–18). New York: ACM. https://doi.org/10.1145/2643605

  • Melo, M., & Miranda, G. L. (2015). Learning electrical circuits: The effects of 4C/ID instructional approach in the acquisition and transfer of knowledge. Journal of Information Technology Education: Research, 14, 313–337. https://doi.org/10.28945/2281

    Article  Google Scholar 

  • Merrill, M. D. (2002). First principles of instruction. Educational Technology Research and Development, 50(3), 43–59.

    Article  Google Scholar 

  • Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151, 264–269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135

    Article  Google Scholar 

  • Nadolskyi, R., Kirschner, P., & van Merriënboer, J. (2004). Optimizing the number of steps in learning tasks for complex skills. British Journal of Educational Psychology, 75, 223–237. https://doi.org/10.1348/000709904X22403

    Article  Google Scholar 

  • Nadolskyi, R., Kirschner, P., & van Merriënboer, J. (2006). Process support in learning tasks for acquiring complex skills in the domain of law. Learning and Instruction, 16, 266–278. https://doi.org/10.1016/j.learninstruc.2006.03.004

    Article  Google Scholar 

  • Nisser, U. (2014/1967). Cognitive psychology. New York: Psychology Press.

  • Paas, F. (1992). Training strategies for attaining transfer of problem solving skill in statistic: A cognitive load approach. Journal of Educational Psychology, 84(4), 429–434. https://doi.org/10.1037/0022-0663.84.4.429

    Article  Google Scholar 

  • Peng, J., Wang, M., & Sampson, D. (2017). Visualizing the complex process for deep learning with an authentic programming project. Educational Technology and Society, 20, 275–287.

    Google Scholar 

  • Postma, T. C., & White, J. G. (2017). Socio-demographic and academic correlates of clinical reasoning in a dental school in South Africa. European Journal of Dental Education, 21(1), 58–65.

    Article  Google Scholar 

  • Reigeluth, C.M., Beatty, B.J., & Myers, R.D. (Eds.). (2017). Instructional-design theories and models, Volume IV: The learner-centered paradigm of education. New York: Routledge

  • Reiser, R. (2001). A history of instructional design and technology. Part 1: A history of instructional media. Educational Technology Research and Development, 49(1), 53–64.

    Article  Google Scholar 

  • Rosenberg-Kima, R. (2012). Effects of task-centered vs. topic-centered instructional strategy approaches on problem solving: Learning to program in flash. Doctoral dissertation, Florida State University). Available from http://fsu.digital.flvc.org/islandora/object/fsu%3A183092.

  • Sarfo, F., & Elen, J. (2007). Developing technical expertise in secondary technical schools: The effect of 4C/ID learning environments. Learning Environments Research, 10, 207–221. https://doi.org/10.1007/s10984-007-9031-2

    Article  Google Scholar 

  • Simonsohn, U., Nelson, L. D., & Simmons, J. P. (2014). P-curve: a key to the file-drawer. Journal of experimental psychology: General, 143(2), 534. https://doi.org/10.1037/a0033242.

    Article  Google Scholar 

  • Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2015). Better P-curves: Making P-curve analysis more robust to errors, fraud, and ambitious P-hacking, a Reply to Ulrich and Miller (2015). Journal of Experimental Psychology: General, 144(6), 1146–1152. https://doi.org/10.1037/xge0000104.

    Article  Google Scholar 

  • Skinner, B. F. (1954). The science of learning and the art of teaching. Harvard Educational Review, 24(2), 86–97.

    Google Scholar 

  • Sluijsmans, D., Prins, F., & Martens, R. (2006). The design of competency-based performance assessment in e-learning. Learning Environments Research, 9, 45–66. https://doi.org/10.1007/s10984-005-9003-3

    Article  Google Scholar 

  • Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer.

  • 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.

    Article  Google Scholar 

  • Tjiam, I. M., Schout, B. M., Hendrikx, A. J., Scherpbier, A. J., Witjes, J. A., & van Merriënboer, J. J. (2012). Designing simulator-based training: An approach integrating cognitive task analysis and four-component instructional design. Medical Teacher, 34(10), e698–e707.

    Article  Google Scholar 

  • van Es, N., & Jeuring, J. (2017). Designing and comparing two Scratch-based teaching approaches for students aged 10–12 years. Proceedings of Koli Calling 2017. New York: ACM. https://doi.org/10.1145/3141880.3141883.

  • van Merriënboer, J. J. (2019). The four-component instructional design model: An overview of its main design principles. Maastricht University.

  • van Merriëenboer, J. J., Clark, R. E., & De Croock, M. B. M. (2002). Blueprints for complex learning: The 4C/ID-model. Educational Technology Research and Development, 50(2), 39–64. https://doi.org/10.1007/BF02504993

    Article  Google Scholar 

  • van Merriënboer, J., & de Croock, M. (1992). Strategies for computer-based programming instruction: Program completion versus program generation. Journal of Educational Computing Research, 8, 365–394.

    Article  Google Scholar 

  • van Merriënboer, J., Jelsma, O., & Paas, F. (1992). Training for reflective expertise: A four-component instructional design model for complex cognitive skills. Educational Technology Research and Development, 40(2), 23–43. https://doi.org/10.1007/BF02297047

    Article  Google Scholar 

  • van Merriënboer, J. J. G., & Paas, F. (2003). Powerful learning and the many faces of instructional design: Towards a framework for the design of powerful learning environments. In E. De Corte, L. Verschaffel, N. Entwistle, & J. J. G. van Merriënboer, (Eds.), Powerful learning environments: Unravelling basic components and dimensions (pp. 3–20). Oxford, UK: Elsevier Science.

    Google Scholar 

  • van Merriënboer, J., & Kirschner, P. (2001). Three worlds of instructional design: State of the art and future directions. Instructional Science, 29, 429–441.

    Article  Google Scholar 

  • Wopereis, I., Frerejean, J., & Brand-Gruwel, S. (2015). Information problem solving instruction in higher education: A case study on instructional design. In S. Kurbanoglu, J. Boustany, S. Špiranec, E. Grassian, D. Mizrachi, & L. Roy (Eds.), Information literacy: Moving toward sustainability (Vol. 552, pp. 293–302). Springer.

  • Zhao, F., Wang, C., & Yin, R. (2017). The Application of 4C Training Modelin the Operating Room Nurse Training. BIO Web of Conferences, 8. https://doi.org/10.1051/bioconf/201708010.

Download references

Acknowledgements

This work was partially supported by Fundação para a Ciência e a Tecnologia, I.P. (FCT) [ISTAR Projects: UIDB/04466/2020 and UIDP/04466/2020].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joana Martinho Costa.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Costa, J.M., Miranda, G.L. & Melo, M. Four-component instructional design (4C/ID) model: a meta-analysis on use and effect. Learning Environ Res 25, 445–463 (2022). https://doi.org/10.1007/s10984-021-09373-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10984-021-09373-y

Keywords

Navigation