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.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Hou Keat Khong
Hou-Keat Khong is a PhD candidate in the School of Educational Studies at the Universiti Sains Malaysia. His research interests focus on computer-assisted language learning including pedagogical innovations, motivation and strategies.
Muhammad Kamarul Kabilan
Muhammad Kamarul Kabilan's research interests include the use of technology and social media for English language education, professional development and critical practices in English language teacher education. Currently, he serves as board member in the British Journal of Educational Technology.