Abstract

This article abbreviatedly introduced the main idea of the research done by Chan and Li, which explored how effective the oral remedial instruction with the consciousness-raising method is. The research was completed with several control groups through pre-test, post-test, and delayed post-test. Although the research confirmed that the consciousness-raising approach could benefit for second language learners to notice their morpho-syntactically well-defined errors, there exists some shortcomings which could be improved to enhance its objectiveness and comprehensiveness of it. Meanwhile, the former article was also compared with the research completed by Patri and Pennington, which explored various teaching methods through fundamental experiments, because they both utilized Statistical Product and Service Solutions (SPSS) in their exploration of second language acquisition and made control experiments and made the comparison to find out whether their differences are significantly relevant. The combination of basic language teaching theory and research with the utilization of statistical analysis software, the representativeness of the research methods with experiments, and the integrity of the procedures of the experiment and research made these two articles worthy of further analysis, discussion, and comparison. This paper analyzed the research with critical review in terms of both its advantages and disadvantages, and the data got with SPSS were also evaluated.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.