THE USE OF MIND MAPPING TECHNIQUE TO IMPROVE THE STUDENTS’ WRITING SKILL ON DESCRIPTIVE TEXT AT THE TENTH GRADE OF SMA PGRI LARANGAN PAMEKASAN
Abstract
This study is categorized as a classroom action research (CAR). This study proposed the use of mind mapping technique to improve the students’ writing skill on descriptive text at the tenth grade of SMA PGRI Larangan Pamekasan. The instruments of this study consisted of a scoring rubric for students’ writing skill on descriptive text, questionnaires and observation checklist. The participants of the study were 20 students at the tenth grade of SMA PGRI Larangan Pamekasan. In preliminary study, the students ‘ writing skill on descriptive text and students’ motivation were still low, it was indicated that 5 students or 25% of the students passed the minimum standard achievement/KKM (76). Therefore, the researcher tried to apply the mind mapping technique to improve the students’ writing skill on descriptive text, he found the Students’ interest in learning English , students’ activeness, students’ confidence in writing. But, most students had difficulities dealing with grammar usage and less vocabularies, it was indicated in the first cycle that 9 students or 45% of the students passed the minimum standard achievement/KKM (76). Then, the second cycle would be done by revising the teaching strategy in cycle one that stated in lesson plan by considering the students’ weaknesses they made on the writing test before. In the second cycle was proven that 16 students or 80% of the students passed the minimum standard achievement/KKM (76), and the researcher stated that the students gave better respond in the second cycle than in the first cycle, more students in the second cycle were motivated so that the classroom was more active during the class. So, the results of this research stated that the use of mind mapping technique could improve the students’ writing skill on descriptive text, and class more motivated and enjoyable.
Downloads
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with DIDAKTIKA: Jurnal Pemikiran Pendidikan agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.