Analysis of Activities in Senior English Textbook from the Perspective of Deep Learning: Taking Required Course Book One by FLTR Press (2019 Edition) as an Example

Qingqing Liu; Hongyuan Wang

doi:10.54097/k44g3c59

Authors

Qingqing Liu
Hongyuan Wang

DOI:

https://doi.org/10.54097/k44g3c59

Keywords:

Senior English, Textbook Analysis, Deep Learning, Activity Design

Abstract

Deep learning is an effective way to cultivate students’ core competencies. As an organic part and crucial resource of deep learning in English class, the textbook presents activities at diverse cognitive levels. In this study, the cognitive levels of activities are analyzed in a senior English textbook by adopting a qualitative method, which intends to reveal the characteristics of deep learning activities. Then in the study an even distribution is revealed between surface and deep learning activities, the latter featuring integration, contextualization, and participatory nature. Finally, three suggestions are put forward to promote students’ deep learning.

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References

[1] Anderson, L. W., & Krathwohl, D. R.: A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives: Complete Edition (Addison Wesley Longman, Inc., United States 2001).

[2] Bloom, B. S.: Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook 1: Cognitive Domain (D. McKay, United States 1956).

[3] B.H. Chen and Q.W. Huang: Problems and Solution Strategies of English Teaching Materials in High Schools--Based on the Perspective of Core Competencies of English Discipline, Journal of Educational Development, vol. 9 (2019), 39-46.

[4] Y.T. Chen: Research on the Application of SPOC Foreign Language Teaching Mode under the Perspective of Deep Learning, Foreign Language World, vol. 4 (2023), 91-96.

[5] Y.K. Cui: The Logic of Deep Teaching: Beyond the Dualistic Controversy, towards an Integrated Approach, Elementary and Middle School Management, vol. 5 (2021), 22-26.

[6] Fullan, M., Quinn, J., & McEachen, J.: Deep Learning: Engage the World, Change the World (Corwin, CA, United States 2018).

[7] L. Grauerholz: Teaching Holistically to Achieve Deep Learning, College Teaching, vol. 49 (2001) No.2, p.44-50.

[8] B.X. Guo and X.H. Sui: The Design of Chinese Culture Content in English Teaching Materials from an Intercultural Perspective, Global Education, vol. 53 (2024) No.2, p.32-44.

[9] H. Guo: Deep Learning and Its Significance, Curriculum, Teaching Material and Method, vol. 36 (2016) No.11, p.25-32.

[10] Y.Q. Guo: Deep Teaching Triggered by Deep Learning Is the Only Way to Cultivate Students’ Core Literacy, Research on Teaching and Learning, vol. 41 (2018) No.3, p.10-14.

[11] C.R. Hale and L.W. Barsalou: Explanation Content and Construction during System Learning and Trouble Shooting, Journal of the Learning Sciences, vol. 4 (1995) No.4, p.385-436.

[12] L. He and J.H. Li: Promoting Deeper Learning, Modern Teaching, (2005) No.5, p.29-30.

[13] G. Hinton, L. Deng, D. Yu, G.E. Dahl, A.R. Mohamed, N. Jaitly, ... and B. Kingsbury: Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups, IEEE Signal Processing Magazine, vol. 29 (2012) No.6, p.82-97.

[14] G.W. Huang: Analysis of English Teaching Materials under the Perspective of Civics and Politics, China Foreign Language, vol. 17 (2020) No.5, p.21-29.

[15] Y.H. Luo: Connotation and Construction of Deep Learning High School English Classroom, Curriculum, Teaching Material and Method, vol. 41 (2021) No.6, p.96-102.

[16] F. Marton and R. Säljö: On Qualitative Differences in Learning: I—Outcome and Process, British Journal of Educational Psychology, vol. 46 (1976) No.1, p.4-11.

[17] Ministry of Education of the People’s Republic of China: National English Curriculum Standards for General Senior High School (2020 Revised Edition) (People’s Education Press, China 2020).

[18] Ministry of Education of the People’s Republic of China: English Curriculum Standards for Compulsory Education (2022 Edition) (Beijing Normal University Press, China 2022).

[19] R. Ranjan, V.M. Patel, and R. Chellappa: A Deep Pyramid Deformable Part Model for Face Detection, in 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), IEEE, 2015, pp. 1-8.

[20] X. Sun, et al.: Exploration of Middle School English Reading Teaching under the Concept of Deep Learning, Basic Foreign Language Education, vol. 21 (2019) No.6, p.89-93+111.

[21] B. Tomlinson: Developing Criteria for Evaluating L2 Materials, IATEFL Issues, vol. 147 (1999), p.10-13.

[22] Q. Wang, et al.: Overall Unit Instructional Design in Senior High School English Teaching: Towards Deep Learning, Frontiers of Research in Foreign Language Education, vol. 4 (2021) No.1, p.17-25+87-88.

[23] Q.F. Wen: A Theoretical Framework for Using and Evaluating Instructional Materials in the “Product-oriented Approach”, Foreign Language Education in China, vol. 10 (2017) No.2, p.17-23+95-96.

[24] C. Wu, et al.: The Problems and Solutions During the Compilation of High School English Teaching Material Under the Background of New Curriculum Standards, Curriculum, Teaching Material and Method, vol. 39 (2019) No.8, p.79-84.

[25] P. Yu: Design of Flipped College English Classroom Based on Deep Learning, Journal of Guangxi Open University, vol. 32 (2021) No.1, p.29-31.