Chen, Wenli

Computer-based writing (CBW) has become integral in language education, enabling personalised learning and online collaboration. In Singapore, CBW is being introduced in Chinese Language (CL) classes, yet challenges persist, particularly for students using the phonetic-based pinyin input method. This study investigated the impact of partially replacing paper-and-pen-based writing (PPBW) with CBW in primary schools. Using mixed-effects modeling, we compared post-CBW and post-PPBW scores, considering CL achievement levels. Results indicated CBW's positive influence on writing quality regardless of prior competence. Furthermore, CBW significantly benefits low and medium-achieving students' performance. Typing speed and handwriting speed are influential for these students, while different writing strategies play distinct roles. Informed by the findings, we propose an online writing community platform, WeeWrite, incorporating generative AI to enhance CL CBW skills, offering personalised and collaborative learning experiences.