The Correlation between EFL PBT Paper Based TOEFL Prediction and Verbal Assessment Test Scores of Engineering Students
- DOI
- 10.2991/soshec-17.2018.51How to use a DOI?
- Keywords
- EFL Score, PBT, VAT, SEM, interview
- Abstract
An EFL Test, a English assessment PBT prediction is developed by ITS Sepuluh Nopember Institute of Technology Surabaya Centre for Languages and Cultures to measure the students English proficiency as a part of their graduation requirements. The test has caused the majority of students postpone their graduation. Many efforts have been carried out to improve the students score, but the results is not fully satisfying. To seek better ways to increase the students English competence in the future, a study on the correlation between Verbal Assessment Test VAT as indicator of intelligence and the increase of students EFL score test was carried out. The well known SILL questionairre developed by Oxford 1990 was employed to find the such correlation. The subjects of the study was students of 2012 batch from 5 different faculties in ITS. The analysis was conducted using structural equation modelling SEM statistcial method and combined with personal interview with 10 percent of the students representing the high, average, and low achievers. Result shows that the high achievers possess higher VAT scores than those of the average and low ones. Moreover, the high achievers answer the questionnaire better and with very little mistakes than the others
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Luh Ariyati AU - Lies Lestar PY - 2017/10 DA - 2017/10 TI - The Correlation between EFL PBT Paper Based TOEFL Prediction and Verbal Assessment Test Scores of Engineering Students BT - Proceedings of Social Sciences, Humanities and Economics Conference (SoSHEC 2017) PB - Atlantis Press SP - 256 EP - 259 SN - 2352-5398 UR - https://doi.org/10.2991/soshec-17.2018.51 DO - 10.2991/soshec-17.2018.51 ID - Ariyati2017/10 ER -