This study investigates the effects of using Shimo-supported concept maps, mind maps, and argument maps as prewriting strategies on college students' argumentative writing achievements, writing behaviors and critical thinking tendency. A mixed-method research method is applied. Ideally, 180 participants are recruited and divided into three groups learning concept mapping, mind mapping, and argument mapping, respectively. The eight-week pre-test, post-test, and delay-post design are implemented. The collected quantitative data, i.e., writing scores and questionnaire results are analyzed by repeated measures of analysis of variance (ANOVA), one-way ANOVA, and paired t tests. Students' writing behaviors archived by Shimo are coded and analyzed using lag sequential analysis. Students' perceptions are explored through semi-structured interviews and coded by thematic analysis. This is the initial proposal of the present study within which the researchers plan to discover the appropriate mapping-based prewriting strategies to prepare students before their formal argumentative writing.
|Title of host publication||Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 2022|
|Event||9th IEEE International Conference on Behavioural and Social Computing, BESC 2022 - Matsuyama, Japan|
Duration: 29 Oct 2022 → 31 Oct 2022
|Conference||9th IEEE International Conference on Behavioural and Social Computing, BESC 2022|
|Period||29/10/22 → 31/10/22|
Bibliographical notePublisher Copyright:
© 2022 IEEE.
- argument map
- concept map
- mind map
- prewriting strategies