English is a key subject in high school that troubles many students, especially in the aspect of vocabulary learning. Only by laying a good vocabulary foundation can students better complete the learning tasks such as reading, writing, listening, and speaking training. This paper aims to explain the importance of improving the efficiency of English vocabulary learning and discuss the effective methods of English vocabulary learning in high school, in order to help more students find their own learning methods, improve vocabulary memory and application skills, and lay a solid foundation for follow-up learning, examination, and even work.
Liu H, 2021, How to Cultivate Students’ Discourse Consciousness in High School English Teaching. Education, (09): 52–53.
Qin X, 2024, Discussion on English Vocabulary Teaching Strategies in Senior High School under the Background of Deep Learning. Middle School Students’ English, (24): 71–72.
Zhang Z, Li X, 2024, On the Commonly Used Techniques in English Learning. Campus English, (22): 184–186.
Shi X, 2023, Several Methods of Memorizing High School English Words. Language Number Learning (Middle of High School Edition), (09): 75.
Guo X, 2024, Analysis of Deep Learning from the Perspective of Context Theory. Examination Questions and Research, (16): 52–54.
Meng Z, 2020, Master Learning Skills to Improve the English Learning Ability of High School Students. Liberal Arts Lovers (Education and Teaching), (03): 135 + 137.
Xiu M, Yin X, 2024, High School English Vocabulary Teaching Practice Pointing to Deep Learning. Beijing Education (General Education Edition), (05): 85.
Xu C, 2019, On Improving the Memory Method of Words in High School English Learning. Middle School Students’ English, (36): 31.
Chen X, 2024, Analysis of Cultivating Students’ Self-Study Ability in High School English Vocabulary Teaching. College Entrance Examination, (11): 81–83.
Guo X, 2024, The Application of English Learning Activities in English Vocabulary Teaching in Senior High School. Anhui Education and Scientific Research, (06): 33–35.