디지털 글쓰기 과정의 유형화: 베이지안 망 기반 유형 분석 적용

초록

Purpose: Despite the demand for personalized learning, there have not been many educational attempts to reflect individual differences among students. One way to consider individual differences in teaching and learning is finding their patterns. Therefore, this study aims to explore the types of digital writing processes based on various variables related to the writing process and to determine whether there are differences in writing performance between these types. Methods: A total of 105 university students wrote an argumentative essay and provided keystroke logging data and questionnaire about their awareness and some affective traits. After conducting latent profile analysis on selected variables, MANOVA was performed to analyze the differences in writing performance among the types. Results: Four profiles were identified based on variables such as pauses and revision-related actions, writing belief, and writing apprehension: ‘Writers who write smoothly with few revisions’, ‘Writers who hesitate but write a lot’, ‘Writers who rush through due to anxiety’, and ‘Writers who ponder leisurely, write a lot, and revise a lot’. Conclusion: While differences between writer’s profiles were not observed in the four analytic scores of the written products, they were noted in the perceptions of the writing experience. The features of each profile and the differences between them were discussed.

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