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ISSN:
2377-2891(Print); 2377-2905(Online)
Frequency:
Bimonthly
Editor-in-Chief:
Prof. Eric C. K. Cheng
Associate Executive Editor:
Ms. Jenny Jiang
DOI:
10.18178/ijlt
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Editor-in-Chief
Prof. Eric C. K. Cheng
Professor & Vice President (Academic)
Yew Chung College of Early Childhood Education, Hong Kong, China
As the Editor-in-Chief of IJLT, I invite you to contribute your scholarly work to our esteemed publication. IJLT serves as a beacon for original and impactful academic contributions in the realm of education, fostering multidisciplinary research and development to enhance teaching-learning processes globally. We welcome submissions spanning a wide spectrum of topics, from innovative program development to the integration of digital tools in education. Our scope encompasses areas such as student leadership, diversity in education, and collaborative initiatives, reflecting our commitment to a sustainable and inclusive society. [
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What's New
2024-02-29
Vol. 10, No. 1, 2024 has been published!
2024-02-07
Welcome Prof. Eric C. K. Cheng from Yew Chung College of Early Childhood Education, Hong Kong, China to join IJLT Editorial Board as Editor-in-Chief!
2023-12-13
IJLT will adopt Article-by-Article Work Flow from 2024. For the Bimonthly journal, each issue will be released at the end of the issue month.
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2017
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Volume 3, No. 4, December 2017
>
Language Gene Network Patterns May Facilitate Relationship Setting-up between Language Genotypes and Students' Class-Performance
Wei Xia
1
and Zhizhou Zhang
2
1. School of Languages and Literature, Harbin Institute of Technology, Weihai, China
2. School of Marine Science and Technology, Harbin Institute of Technology, Weihai, China
Abstract
—How individual biological phenotypes are encoded by genome sequences will be elucidated more and more in the post-genomic era. Especially, the relationship between language abilities and language genes is to be decoded inevitably. In this article, it is conceptualized that different language ability-related class-performance of students is largely encoded by different combinations of a cluster of language genes. Any two persons have the same set of language genes, but each language gene holds different variations or mutations in its DNA sequence in the human population, and these variations brings up differential influence on the gene’s function. The combinations of such variations in different language genes set up the molecular basis of the fact that almost every person is different from each other in the context of language abilities and performances. Some mutations in the key language genes (such as FOXP1 and FOXP2) are found to lead to severe language disorders, but for most students, only mild mutations or variations exist in their language genes, thus demonstrating normal language ability but differential levels of class-performance. Biological technology will gradually help to finish DNA sequences of every student, pinpoint his defects in some language genes, figure out his advantage and shortcoming, and thus promote a series of individualized approach for teaching and education.
Index Terms
—language gene, language ability, individualized, teaching, education
Cite: Wei Xia and Zhizhou Zhang, "Language Gene Network Patterns May Facilitate Relationship Setting-up between Language Genotypes and Students' Class-Performance," International Journal of Learning and Teaching, Vol. 3, No. 4, pp. 259-263, December 2017. doi: 10.18178/ijlt.3.4.259-263
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