A theoretical model of micro-learning for second language instruction. Issue 7 (3rd September 2022)

• Record Type: Journal Article
• Authors: Khong, Hou Keat; Kabilan, Muhammad Kamarul
• Is Part Of: Computer assisted language learning. Volume 35:Issue 7(2022)
• Page Start: 1483
• Page End: 1506
• Publication Date: 2022-09-03
• Subjects: Cognitive load theory -- cognitive theory of multimedia learning -- micro-learning -- second language instruction -- self-determination theory of motivation; Language and languages -- Computer-assisted instruction -- Periodicals; 418.00285
• DOI: 10.1080/09588221.2020.1818786
• Languages: English
• ISSNs: 0958-8221

Abstract

Abstract: The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for understanding the nuanced dynamics of ML restricts the practical use of this pedagogical approach in "Second Language" (L2) instruction. Therefore, this paper seeks to fill the gap by proposing a theoretical model of ML for L2 instruction. First, a brief background on ML is provided evaluating its benefits and pitfalls in general teaching and learning enterprise. Second, three established theories are explicitly discussed based on a careful examination of the conceptual characteristics and empirical observations of ML. A theoretical model of ML is then devised based on relations postulated among proposed theories and application of the model to existing L2 MLs is made explicit. Finally, implications for research and practice are discussed to offer a more robust and descriptive picture of how ML can promote L2 teaching and learning across different contexts. Drawing from these theoretical insights, a principled way to integrating ML into L2 instruction can be made available for future research.