Scaffolding

12
 m

Design and plan learning activities and/or programmes of study

Appropriate methods for teaching, learning and assessing in the subject area in the subject area and at the level of the academic programme

What can I do?

Impact
4
Quality
4
  • Use tools like prompts, hints, or checklists that help students manage complex tasks
  • Fade support gradually so students take on more responsibility as they learn
  • Focus on metacognitive scaffolding — it boosts student learning the most

What is this about?

Scaffolding is a teaching approach where support is given to help students do tasks they couldn’t manage alone — like training wheels for learning. Over time, the support is taken away as students become more skilled. Scaffolding can come from teachers, peers, or technology and is especially useful when students are solving complex problems or learning online. It helps students plan, monitor, and reflect on their learning. The goal is to guide students just enough so they stay challenged but not overwhelmed.

What's the evidence say?

Scaffolding improves cognitive outcomes in higher education ➕➕➕➕. Its effects are even stronger in online learning ➕➕➕➕➕ (Doo et al., 2020) and among students using self-regulated learning tools ➕➕➕➕ (Shao et al., 2023). Computer-based scaffolding in STEM problem-based learning boosts outcomes (g = 0.385) (Kim et al., 2018) ➕➕➕. It also leads to large gains in within-student growth across contexts, especially for students with learning disabilities ➕➕➕➕➕ (Belland et al., 2017).

Scaffolding works best when:

  • It is adaptive rather than fixed ➕➕➕
  • It is metacognitive (i.e., helps students plan and reflect) ➕➕➕➕
  • It’s delivered digitally, especially in online courses ➕➕➕➕➕
  • It supports regulated learning both individually and socially (SRL and SSRL) ➕➕➕➕

What's the underlying theory?

Scaffolding is grounded in Vygotsky’s concept of the zone of proximal development — the idea that students can achieve more with help than on their own. Good scaffolding is contingent (responds to student needs), promotes shared understanding (intersubjectivity), and eventually fades as students grow more independent. Cognitive theories like self-regulated learning and socially shared regulation of learning explain why scaffolding boosts not just content knowledge but also planning, monitoring, and collaboration. The ICAP framework supports this by showing that higher engagement (like using scaffolds to guide reflection) leads to deeper learning.

Where does the evidence come from?

This summary draws on six meta-analyses. Belland et al. (2017) and Kim et al. (2018) used Bayesian network models to explore scaffolding in STEM and problem-based learning. Doo et al. (2020) examined scaffolding in online higher education, while Shao et al. (2023) focused on regulated learning scaffolding and its effect on academic performance. Belland et al. (2017) also explored differences by educational context and type of scaffold. Each study included dozens of primary studies and met high standards of methodological rigour.

References

Abrami, P. C., Bernard, R. M., Borokhovski, E., Wade, A., Surkes, M. A., Tamim, R., & Zhang, D. (2008). Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of Educational Research, 78(4), 1102–1134. https://doi.org/10.3102/0034654308326084

Belland, B. R., Walker, A. E., & Kim, N. J. (2017). A Bayesian network meta-analysis to synthesize the influence of contexts of scaffolding use on cognitive outcomes in STEM education. Review of Educational Research, 87(6), 1042–1081. https://doi.org/10.3102/0034654317723009

Doo, M. Y., Bonk, C., & Heo, H. (2020). A meta-analysis of scaffolding effects in online learning in higher education. International Review of Research in Open and Distributed Learning, 21(3), 60–80. https://doi.org/10.19173/irrodl.v21i3.4638

Kim, N. J., Belland, B. R., & Walker, A. E. (2018). Effectiveness of computer-based scaffolding in the context of problem-based learning for STEM education: Bayesian meta-analysis. Educational Psychology Review, 30(2), 397–429. https://doi.org/10.1007/s10648-017-9419-1

Shao, J., Chen, Y., Wei, X., Li, X., & Li, Y. (2023). Effects of regulated learning scaffolding on regulation strategies and academic performance: A meta-analysis. Frontiers in Psychology, 14, 1110086. https://doi.org/10.3389/fpsyg.2023.1110086

Additional Resources