Abstract
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.
Original language | English |
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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 |
ISBN (Electronic) | 9798350398144 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Event | 9th IEEE International Conference on Behavioural and Social Computing, BESC 2022 - Matsuyama, Japan Duration: 29 Oct 2022 → 31 Oct 2022 |
Conference
Conference | 9th IEEE International Conference on Behavioural and Social Computing, BESC 2022 |
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Country/Territory | Japan |
City | Matsuyama |
Period | 29/10/22 → 31/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- argument map
- argumentation
- concept map
- mind map
- prewriting strategies
- Shimo