Examination of the Prevalent Biases in Digital Composition of Chinese Characters

Abstract

The present study meticulously reviews the literature concerning the biases in “electronic scripting of Chinese characters” from 2016 to 2024. It synthesizes the research findings, methodologies, and conclusions from prior inquiries into the biases associated with electronic scripting. The review indicates a primary focus within the research community on the taxonomic categorization, determinants, and pedagogical strategies, with the methodology targeting predominantly the categorization system and the influencing factors. The analysis reveals that the focus of research is centered on the categorization system, determinants, and pedagogical strategies, with a preference for a combination of quantitative and qualitative methodologies. The conclusions of these studies have evolved from straightforward typological analysis to an exploration of underlying and effective teaching approaches. Nevertheless, the sample population in these studies lacks generalizability, the impact of cultural context on students’ biases in “electronic writing mechanisms” has not been thoroughly investigated, and there is a deficiency in longitudinal tracking of learner’s progress over time. To enhance the applicability of the findings to a broader demographic, future research could incorporate questionnaires, interviews, and longitudinal studies.