How to learn and teach a foreign language through computational thinking: Suggestions based on a systematic review

Abstract

There has been an increasing interest in the integration of technology into language education. Meanwhile, computational thinking (CT) skills are fostered which influence communicative language teaching and learning. Despite CT's established importance in science education, its significance in language teaching remains scarce. This study contributes to knowledge synthesis and methodological development by reviewing 16 journal articles, analyzing CT applications in language learning across educational contexts, intervention tools, CT skills, language acquisition, and assessment methods. The results indicate that (a) more CT-involved activities are needed for primary, secondary, and tertiary education, (b) educational robots and Scratch stand out as the most trending intervention tools, (c) CT skills such as decomposition, abstraction, generalization and so on have a positive effect on students’ foreign language acquisition, especially in grammar and writing, (d) assessment of CT development can be surveyed through a validated and reliable instrument such as computer programming self-efficacy scale or an online platform: Dr. Scratch; Conversely, there is a diversity of evaluation tools in foreign language learning. This study is the first to review experimental research on integrating computational thinking into foreign language learning and offers significant implications for future research.