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Record W4386429612 · doi:10.37301/elect.v2i1.78

The Third Year-Students' Ability in Answering Synonymous Word Questions in Reading Comprehension of TOEFL-Like Tests at the English Department of Bung Hatta University

2023· article· en· W4386429612 on OpenAlex
Lisa Tavriyanti, Laila Sakinah

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language Education and Current Trends (ELECT) · 2023
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsTest of English as a Foreign LanguageReading comprehensionMathematics educationReading (process)Test (biology)Context (archaeology)PsychologyComputer scienceLinguisticsLanguage educationBiology

Abstract

fetched live from OpenAlex

The purpose of this research was to describe the third-year students’ ability in answering synonymous word questions in reading comprehension of the TOEFL Like test at the English Department of Bung Hatta University. The design of this research was descriptive research. The population of this research was third-year students at the English Department of Bung Hatta University. A total sampling technique was used, and the number of samples was 35 students. The instrument for collecting the data was reading comprehension of the TOEFL test. Based on the result analysis, the result of this research showed that the third-year students had low ability in answering synonymous word questions in reading comprehension of the TOEFL Like in the form of nouns, verbs, and adjectives. So, it can be concluded that the students’ ability in answering synonymous word questions in reading comprehension of the TOEFL Like was low. REFERENCES Arikunto, S. (2015). Dasar-dasar evaluasi pendidikan (2nd ed.). Jakarta: PT Bumi Aksara. Birsch, J. R. (2011). Multisensory Teaching of Basic Language Skills, Third Edition. Baltimore, MD: Paul H. Brookes Publishing Company. Destiyanti, C., Amin, M., & Putera, L. J. (2021). Gender- based analysis of students ’ ability in answering factual and vocabulary-in-context questions of the toefl-like reading comprehension test. 9, 1–17. Elfiondri, Kasim, U., Mustafa, F., & Putra, T. M. (2020). Reading comprehension in the TOEFL PBT: Which sub-skill deserves more intensive training? TESOL International Journal, 15(1), 54–64. ETS. (2000). TOEFL program and service department computer-based TOEFL score user guide. New Jersey: Educational Testing Service. Fitria, T. N. (2021). Students ’ Ability in the Structure and Written Expression Section in Toefl. 8(2), 152–163. https://doi.org/10.22219/celtic.v8i2.16373 Gilakjani, A. P., & Sabouri, N. B. (2016). A Study of Factors Affecting EFL Learners ’ Reading Comprehension Skill and the Strategies for Improvement. 6(5), 180–187. https://doi.org/10.5539/ijel.v6n5p180 Hot Courses. (2016, October 17). Persyaratan Nilai Bahasa Inggris Untuk Kuliah S2 di Luar Negeri? https://www.hotcourses.co.id/study-abroad-info/university applications/persyaratan nilai-bahasa-inggris-untuk-kuliah-s2-di-luar-negeri Kampung Inggris. (2021, September 1). Standar Nilai TOEFL Untuk Melamar Kerja. https://kampunginggrisla.com/standar-nilai-toefl-untuk-melamar-kerja Matthiesen, S. J. (2017). Essential words for the TOEFL test of English as a foreign language (7th ed.) New York: BARRON'S. Merriam-Webster. (n.d.). Synonymous. In Merriam-Webster.com dictionary. Retrieved January 11, 2022, from https://www.merriam-webster.com/dictionary/writing Merriam-Webster. (n.d.). Question. In Merriam-Webster.com dictionary. Retrieved January 11, 2022, from https://www.merriam-webster.com/dictionary/writing Oyetunji, C. O. (2011). The effects of reading strategy instruction on L2 teacher trainees’ performance. University of South Africa. (Unpublished Master's Thesis) Retrieved from https://core.ac.uk/download/pdf/43170904.pdf Pressley, M. (2000). Comprehension Instruction: What Makes Sense Now, What Might Make Sense Soon? In M. L. Kamil, P. Mosenthal, P. D. Pearson, & R. Barr (Eds.), Handbook of Reading Research: Volume III. New York: Longman. Retrieved from http://www.readingonline.org/articles/handbook/pressley/index.html Putri, T. M. (2020). Reading Comprehension in the TOEFL PBT?: Which Sub-Skill deserves more Intensive Training?? 15(1). Samad, I. A., Jannah, M., & Fitriani, S. S., (2017). EFL students’ strategies dealing with common difficulties in TOEFL reading comprehension section. International Journal of Language Education, 1 (1). 29—36. Setyowaty, M et al., “Students’ Vocabulary Mastery on TOEFL Test: Does It Correlate with Reading Comprehension” International Conference on English Language Teaching, vol 434. Retrieved June 13, 2021 (3.58 pm) from https://www.researchgate.net/publication/341291580_Student's_Vocabulary_ Mastery_on_TOEFL_Test_Does_It_Correlate_with_Reading_Comprehension Wahyuni, Z., Ratmanida, & Marlina, L., (2018). The Relationship Of Students’ Metacognitive Reading Strategies Awareness And Reading Comprehension: The Case Of The Sixth Semester Student Of English Department Universitas Negeri Padang (UNP). Journal of English Language Teaching Volume 7 No. 3 Wardani, S. I. (2015). Improving Students ’ Vocabulary Mastery. Okara, 1, 132. Woolley, G. (2011). Reading comprehension: Assisting children with learning difficulties. New York: Springer. Yao, D. (2020). A comparative study of test takers’ performance on computer-based test and paper-based test across different CEFR levels. Canadian Centre of Science and Education. 13(1), 124-133.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.319
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it