2020
DOI: 10.29333/iji.2020.13112a
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Feature Analysis Model: Linguistics Approach in Foreign Language Learning Material Developmen

Abstract: The purpose of this study was to investigate the effect of foreign language learning material development based on the semantic feature analysis model in improving student's learning achievement in English writing and translation subject. This study used classroom action research approach developed by Elliot. Data was collected by using translation test. The total of participants was 45 students who were students Department of English Literature. The data analysis technique used consisted of descriptive statis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…Semantic feature analysis also proved to be effective for teaching writing skills. [38] Finally, the semantic feature is also an effective technique for teaching Aphasia students, as shown in the following study.…”
Section: The Related Previous Studiesmentioning
confidence: 84%
“…Semantic feature analysis also proved to be effective for teaching writing skills. [38] Finally, the semantic feature is also an effective technique for teaching Aphasia students, as shown in the following study.…”
Section: The Related Previous Studiesmentioning
confidence: 84%
“…The formula was used to calculate the percentage of trial results follows equation ( 3) (Dalimunte & Salmiah, 2019;Ginting, 2018;Sari & Rezeki, 2019;Sutirna, 2019), while the standard percentage of the quality level of material contents following the range of the score of percentage quality. The percentage score in the range of 0 to 54 is mean poor, the percentage score in the range of 55 to 64 is mean less, the percentage score in the range of 65 to 79 is mean moderate, the percentage score in the range of 80 to 89 is mean good, and the percentage score in the range of 90 to 100 is mean excellent (Mantasiah, Yusri & Jufri, 2020;Nawawi, Nizkon & Azhari, 2020;Sitorus, 2017;Sugiharni, 2018;Yulina, Permanasari, Hernani & Setiawan, 2019).…”
Section: = D/(a + B + C + D)mentioning
confidence: 99%
“…The percentage of results needs converting to easier form in the interpretation and take of decisions about the evaluation software effectiveness. That conversion refers to the scale of effectiveness level that can be seen in Table [28][29][30].…”
Section: Research and Fieldmentioning
confidence: 99%