From Macro-tasks to Atomic Units: A Conceptual Review of Scaffolded Micro-learning for IELTS Candidate

The landscape of high-stakes English language testing, specifically the IELTS Speaking sub-test, has undergone a radical transformation toward digital and hybrid formats between ۲۰۲۰ and ۲۰۲۶. For Iranian EFL candidates, the transition from traditional face-to-face interviews to screen-mediated and video-call speaking (VCS) has been identified in the literature as a source of persistent psychosocial barriers, most notably foreign language speaking anxiety and cognitive overload. This review synthesizes existing pedagogical frameworks, such as Scaffolded Blended Micro-learning (SBM), to address these challenges. An integrative conceptual analysis was performed on eighteen core studies, comprising seven national investigations focused on the Iranian context and eleven international studies published between ۲۰۱۵ and ۲۰۲۶. The synthesis of these scholarly works reveals that traditional macro-instructional models often fail to mitigate the cognitive paralysis and infrastructural barriers experienced by Iranian candidates during digital speaking tasks. In contrast, existing research suggests that micro-learning interventions delivered in atomic segments, combined with asynchronous feedback and mobile-assisted tools, can effectively lower the affective filter and enhance speaking self-efficacy. The analyzed literature highlights the effectiveness of blended scaffolding, a hybrid of human-led support and digital precision, in bridging the gap between learner competence and test performance. Based on synthesized literature, the review concludes that an integrated architecture, such as the SBM approach, is essential to optimize working memory and proceduralization. These findings signal a significant shift in language education toward more human-centric and cognitively-aligned assessment practices.

کلیدواژه ها:

Cognitive Load Theory ، Communicative Resilience ، Foreign Language Speaking Anxiety (FLSA) ، Micro-learning ، SBM Model