Relieving negative Chinese transfer in EFL syntactic writing through negative feedback based on computational thinking

Abstract

Negative feedback can temporarily relieve negative Chinese transfer (NCT) in English as a foreign language (EFL) syntactic writing by focusing only on the surface writing constructs, neglecting that EFL writing is an embodiment of the process by which higher-order thinking operates. To solve the problem, the researchers conducted a pretest, interventionist group dynamic assessment (IGDA) in the form of negative feedback based on computational thinking (CT), higher-order thinking, and post-test quasi-experimental design, with a control group receiving the direct correction feedback instructing model to mitigate the NCT in EFL syntactic writing. We analyzed the syntactic writing types and frequencies of the NCT obtained through repeated-measure ANOVA and confirmed by qualitative data through video recording. The results indicated that IGDA in the form of negative feedback based on CT principal skills could (1) significantly decrease syntactic writing errors caused by the NCT, (2) improve learners’ EFL writing performance, and finally, (3) elevate the computer as an essential mediation tool. This innovative instructing mode of intervening with writing constructs and higher-order thinking and bringing about deeper thinking and creativity contributes to the EFL writing teaching methodology in a foreign language higher education.