Effectiveness of strategy instruction for vocabulary learning: a narrative review
Main Article Content
Abstract
Nowadays, it is strongly irrefutable that vocabulary skills founds the stepping-stone to language learning and should be at the epicenter of language education, in re to the fact that much cannot be implied without grammar; nothing can be imparted without vocabulary. Understanding the key notions of how vocabulary is acquired can help language teachers be able to dispense more realistic and effective vocabulary teaching. With this thought in mind, it is crucial to acquaint students with vocabulary learning strategies (VLS) so that they can do this more effectively. With the expansion of research on vocabulary learning strategy instruction, the question to be posed is whether training on strategies will culminate in improvement in language learners or not. Thus, based on the significance ascribed to teaching vocabulary learning strategies in the process of language learning, the present paper seeks to cull evidences and scour the effectiveness of teaching vocabulary learning strategies.
Â
 Keywords: Vocabulary, vocabulary learning, strategy training for vocabulary learning.
Downloads
Article Details
Authors who publish with this journal 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 that allows others to share the work with an acknowledgement 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 acknowledgement 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 (See The Effect of Open Access).
References
Ameyaw, C., & Mensah, S. (2013). Curbing Corruption in the Public Procurement Process in Ghana. Public Policy and Administration Research,3(5), 44-53.
Auriol, E. (2006). Corruption in procurement and public purchase.International Journal of Industrial Organization, 24(5), 867-885.
Koning, P., & Van de Meerendonk, A. (2014). The impact of scoring weights on price and quality outcomes: An application to the procurement of Welfare-to-Work contracts. European Economic Review, 71, 1-14.
Hanine, M.A. (2008). "La procédure de passation des marchés publics au Maroc: étude analytique et réflexions à la lumière du code français des marchés publics (et des directives européennes) et des directives de la banque mondiale", Mémoire de master, Strasbourg.France : Ecole nationale d’administration, 2008.
Woods, G.G. (2008). Financial Management and cost accounting, Cape Town: University of Stellenbosch, 2008.
Krasniqi, S. (2012). Public procurement procedures and its cycles, Int. J. Res. Rev. Appl. Sci., 10(1).
Zadelhoff, L. (2014). The influence of a new public procurement directive on SME’s.
Hessami, Z. (2014). Political corruption, public procurement, and budget composition: Theory and evidence from OECD countries, Eur. J. Polit. Econ., 34, 372-389.
Oyediran, O. S., & Akintola, A. A. (2011). A survey of the state of the art of e-tendering in nigeria. Journal of Information Technology in Construction, 16, 557-576.
Neupane, A., Soar, J., Vaidya, K., & Yong, J. (2012, August). Role of public e-procurement technology to reduce corruption in government procurement. InProceedings of the 5th International Public Procurement Conference (IPPC5)(pp. 304-334). Public Procurement Research Center.
Berners-Lee, T. (1998). "Weaving the Web," Harper Eds, San Francisco, 226.
Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web.Scientific american, 284(5), 28-37.
Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing?," Int. J. Hum.-Comput. Stud., 43(5), 907–928.
Studer, R., Benjamins, V. R., & Fensel, D. (1998). Knowledge engineering: principles and methods. Data & knowledge engineering, 25(1), 161-197.
Pulido, J. R. G., Ruiz, M. A. G., Herrera, R., Cabello, E., Legrand, S., & Elliman, D. (2006). Ontology languages for the semantic web: A never completely updated review. Knowledge-Based Systems, 19(7), 489-497.
Bernon, C., Gleizes, M. P., & Picard, G. (2009). Méthodes orientées agent et multi-agent. Technologies des systèmes multi-agents et applications industrielles, chapter-2.
Muñoz, J. F., Esteban, G., Corcho, O., & Serón, F. PPROC, an ontology for transparency in public procurement. Semantic Web, (Preprint), 1-15.
Michael Wooldridge, Nicholas R. Jennings, & David Kinny, (1999). A methodology for agent-oriented analysis and design.
Chaib-draa, B. (1996). A hierarchical model of agent based on skill, rules, and knowledge. In Advances in Artifical Intelligence (pp. 200-212). Springer Berlin Heidelberg.
Bellifemine, F. L., Caire, G., & Greenwood, D. (2007). Developing multi-agent systems with JADE (Vol. 7). John Wiley & Sons.
Fagin, R., Moses, Y., Halpern, J. Y., & Vardi, M. Y. (2003). Reasoning about knowledge. MIT press.
Gandon, F., Corby, O., & Faron-Zucker, C. (2012). Le Web sémantique: comment lier les données et les schémas sur le web?. Dunod.
IDC, "World’s data will grow by 50X in next decade, IDC study predicts," URL: http://www.computerworld.com/s/article/ 9217988/World_s_data_will_grow_by_50X_in_next_decade _ IDC_study_predicts, 2013.
Stonekerbra, M. (2013). What Does ’Big Data’ Mean?, URL: http: //cacm.acm.org/blogs/blog-cacm/155468-what-does-big-data-mean/fulltext
Yang, M., Kiang, M., & Shang, W. (2015). Filtering big data from social media–Building an early warning system for adverse drug reactions. Journal of biomedical informatics, 54, 230-240.
Huang, T., Lan, L., Fang, X., An, P., Min, J., & Wang, F. (2015). Promises and Challenges of Big Data Computing in Health Sciences. Big Data Research,2(1), 2-11.
Ishii, N., Takano, Y., & Muraki, M. (2014). An order acceptance strategy under limited engineering man-hours for cost estimation in Engineering–Procurement–Construction projects," Int. J. Proj. Manag., 32(3), 519-528.
JKim, J. W., Choi, S. Y., Kim, J., & KIM, J. J. Study On A Way To Estimate Reasonable Cost Of Construction Works-Focused On Formworks In Korea.