Abstract
The current study aimed to examine the contribution of general and specialist vocabulary knowledge to undergraduate students’ academic achievement in university courses which are delivered in English as a medium of instruction (EMI) in non-English speaking countries. To this end, the scores of 106 Arab undergraduates on a general vocabulary test (GVT) and on a computer science specialist vocabulary test (CSSVT) were examined in comparison with their final grades on a university-level computer science course, which they studied in English. The results showed a significant and positive correlation between the students’ scores on the GVT and the CSSVT and their final course grades. Additionally, it was found that the combined scores of the two tests can explain 16.1% of the variance in the students’ final course grades. Hence, the general and specialist vocabulary knowledge can predict students’ academic achievement in EMI courses. The results are discussed in relation to the existing literature. Pedagogical implications are presented and directions for future research are recommended.
General vocabulary test (GVT)
This test is designed to measure your receptive vocabulary knowledge of general English words.
Please look at the words in the table. Some of these words are real English words and some are used as control words. Be aware that Yes responses to the control words are penalized. Please tick (✓) the words that you know or can use. Here is an example. cat ✓
*Note: your overall score will be strongly affected if you tick non-existing words.
admit | modern | atmosphere | celebrity | facet | silent | okenite | |||||||
resistance | worry | earn | prison | helmet | comprehend | oxpecker | |||||||
cover | meeting | skirt | translate | spell | collaborate | fluerics | |||||||
dark | centre | crystal | agency | paradise | entrance | ouabian | |||||||
animal | another | profile | housing | hormone | distract | shallon | |||||||
directly | extent | rescue | lake | struggle | react | atacamate | |||||||
side | warn | eager | pilot | entirely | laundry | compacta | |||||||
sign | honey | division | bowl | autonomy | royal | desmolysis | |||||||
border | heritage | slowly | retain | appetite | territory | pisote | |||||||
language | size | reserve | expense | bullet | considerable | garefowl | |||||||
concern | council | complete | dose | multiple | champion | hominal | |||||||
complain | clothes | spirit | progressive | balance | president | intocostrin | |||||||
familiar | pollution | vacation | aisle | grocery | hole | manroot | |||||||
command | suit | pulse | flower | inclusion | studio | ominate | |||||||
announce | Jet | protest | dealer | blanket | wipe | panela | |||||||
employee | budget | socially | intention | passage | jealous | tinsey | |||||||
creature | travel | urban | afford | exciting | novelty | vervelle | |||||||
respect | peak | deficit | faculty | therapy | lock | typicon | |||||||
guideline | emotional | gesture | trust | formation | wheat | tholos |
Computer-science vocabulary size test (CSVST)
This test is designed to measure your receptive knowledge of Computer-Science vocabulary.
Please look at the words in the table. Some of these words are real English computer-science words and some are used as control words. Be aware that Yes responses to the control words are penalized. Please tick (✓) the words that you know or can use. Here is an example: computer ✓
*Note: your overall score will be strongly affected if you tick non-existing words.
base | collaborate | interface | intersect | browse | calculus | kef | |||||||
chip | column | regress | anomaly | encode | synchronize | corium | |||||||
feed | database | tag | mutate | decentralize | encrypt | palar | |||||||
health | module | compiler | transparent | vector | integer | agoura | |||||||
internet | vulnerable | matrix | thermal | decompose | artefact | banausic | |||||||
load | correlate | simulations | wireless | microprocessor | autonomic | decoupage | |||||||
web | software | configure | degrade | rout | inductive | octroy | |||||||
band | digital | fraction | multimedia | substrate | debug | cuticula | |||||||
bug | infect | destination | serial | calibrate | orthogonal | forepost | |||||||
fetch | scan | subscribe | prone | overlay | automation | pikake | |||||||
identify | function | compress | default | auxiliary | histogram | greylag | |||||||
port | probe | diameter | sensor | decode | ontology | arguendo | |||||||
process | platform | residue | query | template | binominal | clowder | |||||||
accelerate | segment | magnitude | disseminate | algebra | vertex | punctum | |||||||
authorise | optic | spectrum | optimise | corollary | ethernet | hypostase | |||||||
budget | rotate | retrieve | contraction | byte | metadata | nosean | |||||||
cell | forum | cellular | augment | syntax | overflow | civilite | |||||||
circuit | vertical | trivial | radius | kernel | virtualize | insilicate | |||||||
cluster | span | batch | emulate | annotate | wavelet | endexine |
References
Alsager, Reem & James Milton. 2016. Investigating the relationship between vocabulary knowledge and academic success of Arabic undergraduate learners in Swansea University. Language in Focus 2(2). 88–124. https://doi.org/10.1515/lifijsal-2016-0010.Search in Google Scholar
Beauvais, Audrey, Julie Stewart, Susan DeNisco & John Beauvais. 2014. Factors related to academic success among nursing students: A descriptive correlational research study. Nurse Education Today 34(6). 918–923. https://doi.org/10.1016/j.nedt.2013.12.005.Search in Google Scholar
Chapple, Julian. 2015. Teaching in English is not necessarily the teaching of English. International Education Studies 8. 1–13. https://doi.org/10.5539/ies.v8n3p1.Search in Google Scholar
Choi, Soo-Joung. 2013. Issues and challenges in offering English-medium instruction: A close examination of the classroom experiences of professors. Studies in English Language and Literature 39. 275–306.10.21559/aellk.2013.39.2.013Search in Google Scholar
Coxhead, Averil. 2000. A new academic word list. TESOL Quarterly 34(2). 213–238. https://doi.org/10.2307/3587951.Search in Google Scholar
Daller, Michael & Huijuan Xue. 2009. Vocabulary knowledge and academic success: A study of Chinese students in UK higher education. In Brian Richards, Michael Daller, David Malvern, Paul Meara, James Milton & Jeanine Treffers-Daller (eds.), Vocabulary studies in first and second language acquisition: The interface between theory and application, 179–193. London: Palgrave Macmillan.10.1057/9780230242258_11Search in Google Scholar
Evans, Stephen & Bruce Morrison. 2011. The first term at university: Implications for EAP. ELT Journal 65. 387–397. https://doi.org/10.1093/elt/ccq072.Search in Google Scholar
Floris, Debora. 2014. Learning subject matter through English as the medium of instruction: Students’ and teachers’ perspectives. Asian Englishes 16. 47–59. https://doi.org/10.1080/13488678.2014.884879.Search in Google Scholar
Garner, Dee & Mark Davies. 2014. A New Academic Vocabulary List. Applied Linguistics 35(3). 305–337.10.1093/applin/amt015Search in Google Scholar
Laidra, Kaia, Pullmann Helle & Jüri Allik. 2007. Personality and intelligence as predictors of academic achievement: A cross-sectional study from elementary to secondary school. Personality and Individual Differences 42(3). 441–451. https://doi.org/10.1016/j.paid.2006.08.001.Search in Google Scholar
Laufer, Batia & Geke Ravenhorst-Kalovsky. 2010. Lexical threshold revisited: Lexical text coverage, learners’ vocabulary size and reading comprehension. Reading in a Foreign Language 22(1). 15–30.Search in Google Scholar
Macaro, Ernesto, Samantha Curle, Jack Pun, Jiangshan An & Julie Dearden. 2018. A systematic review of English medium instruction in higher education. Language Teaching 51. 36–76. https://doi.org/10.1017/s0261444817000350.Search in Google Scholar
Masrai, Ahmed, Dina Abdel Salam El-Dakhs & Noorchaya Yahya. In press. What predicts academic achievement in EMI courses? In Focus on vocabulary knowledge and self-perceptions of L2 skills. Sage Open.Search in Google Scholar
Masrai, Ahmed & James Milton. 2017. Recognition vocabulary knowledge and intelligence as predictors of academic achievement in EFL context. TESOL International Journal 12(1). 128–142.Search in Google Scholar
Masrai, Ahmed & James Milton. 2018. Measuring the contribution of academic and general vocabulary knowledge to learners’ academic achievement. Journal of English for Academic Purposes 31. 44–57. https://doi.org/10.1016/j.jeap.2017.12.006.Search in Google Scholar
Masrai, Ahmed & James Milton. 2021. Vocabulary knowledge and academic achievement revisited: General and academic vocabulary as determinant factors. Southern African Linguistics and Applied Language Studies 39(3). 282–294. https://doi.org/10.2989/16073614.2021.1942097.Search in Google Scholar
Masrai, Ahmed, James Milton, Dina Abdel Salam El-Dakhs & Heba Elmenshawy. 2021. Measuring the contribution of specialist vocabulary knowledge to academic achievement: disentangling effects of multiple types of word knowledge. Asian-Pacific Journal of Second and Foreign Language Education 6(8). https://doi.org/10.1186/s40862-021-00114-5.Search in Google Scholar
Milton, James. 2013. Measuring the contribution of vocabulary knowledge to proficiency in the four skills. Eurosla Monographs Series 2. 57–78.Search in Google Scholar
Milton, James & Jeanine Treffers-Daller. 2013. Vocabulary size revisited: The link between vocabulary size and academic achievement. Applied Linguistics Review 4(1). 151–172. https://doi.org/10.1515/applirev-2013-0007.Search in Google Scholar
Minshall, Daniel. 2013. A Computer science word list. Swansea: Swansea University MA thesis.Search in Google Scholar
Montero Perez, Maribe. 2020. Incidental vocabulary learning through viewing video: The role of vocabulary knowledge and working memory. Studies in Second Language Acquisition 42(4). 749–773. https://doi.org/10.1017/s0272263119000706.Search in Google Scholar
Nation, Paul. 2001. Learning Vocabulary in Another Language. Cambridge: Cambridge University Press.10.1017/CBO9781139524759Search in Google Scholar
Nation, Paul. 2006. How large a vocabulary is needed for reading and listening? The Canadian Modern Language Review 63(1). 59–82. https://doi.org/10.3138/cmlr.63.1.59.Search in Google Scholar
Nation, Paul. 2013. Learning vocabulary in another language, 2nd edn. Cambridge: Cambridge University Press.10.1017/CBO9781139858656Search in Google Scholar
Rahman, Arifur. 2020. Receptive vocabulary size as a predictor of undergraduates’ overall cumulative grade point average with English as a medium of instruction in universities. Asia-Pacific Social Science Review 20(3). 56–75.Search in Google Scholar
Rimfeld, Kaili, Yulia Kovas, Philip Dale & Robert Plomin. 2016. True grit and genetics: Predicting academic achievement from personality. Journal of Personality and Social Psychology 111(5). 780–789. https://doi.org/10.1037/pspp0000089.Search in Google Scholar
Roche, Thomas & Michael Harrington. 2013. Recognition vocabulary knowledge as a predictor of academic performance in an English as a foreign language setting. Language Testing in Asia 3(12). https://doi.org/10.1186/2229-0443-3-12.Search in Google Scholar
Schuth, Elisabeth, Judith Köhne & Sabine Weinert. 2017. The influence of academic vocabulary knowledge on school performance. Learning and Instruction 49. 157–165. https://doi.org/10.1016/j.learninstruc.2017.01.005.Search in Google Scholar
Stanovich, Keith. 1986. Matthew effects in reading: Some consequences of individual differences in the acquisition of literacy. Reading Research Quarterly 21(4). 360–407. https://doi.org/10.1598/rrq.21.4.1.Search in Google Scholar
Szabo, Csaba, Ursula Stickler & Lina Adinolfi. 2021. Predicting the academic achievement of multilingual students of English through vocabulary testing. International Journal of Bilingual Education and Bilingualism 24(10). 1531–1542. https://doi.org/10.1080/13670050.2020.1814196.Search in Google Scholar
Tatzl, Dietmar. 2011. English-medium masters’ programmes at an Austrian university of applied sciences: Attitudes, experiences and challenges. Journal of English for Academic Purposes 10. 252–270. https://doi.org/10.1016/j.jeap.2011.08.003.Search in Google Scholar
Thorndike, Edward & Irving Lorge. 1944. The Teacher’s Wordbook of 30,000 Words. Columbia: Teachers College, Columbia University.Search in Google Scholar
Townsend, Dianna, Alexis Filippini, Penelope Collins & Gina Biancarosa. 2012. Evidence for the importance of academic word knowledge for the academic achievement of diverse middle school students. The Elementary School Journal 112(3). 497–518. https://doi.org/10.1086/663301.Search in Google Scholar
Tschichold, Cornelia. 2012. French vocabulary in Encore Tricolore: Do learners have a chance? Language Learning Journal 40(1). 7–19. https://doi.org/10.1080/09571736.2012.658219.Search in Google Scholar
Uchihara, Takumi & Tetsuo Harada. 2018. Roles of vocabulary knowledge for success in EMI: Self-perceptions and academic outcomes of Japanese undergraduates. TESOL Quarterly 52(3). 564–587. https://doi.org/10.1002/tesq.453.Search in Google Scholar
Webb, Stuart & Paul Nation. 2017. How vocabulary is learned. Oxford: Oxford University Press.Search in Google Scholar
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