ESP-4380

Published

2026-01-26

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Vol. 11 No. 1 (2026): Publishing

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Research Articles

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How to Cite

Jiatong Li. (2026). Implementing English-medium instruction in psychology education through AI-driven corpus pedagogy: Insights from China’s private higher education. Environment and Social Psychology, 11(1), ESP-4380. https://doi.org/10.59429/esp.v11i1.4380

Implementing English-medium instruction in psychology education through AI-driven corpus pedagogy: Insights from China's private higher education

Jiatong Li

Yanching Institute of Technology, No.808 Yingbin Road, Yanjiao Economic and Technological Development Zone, Sanhe City, Langfang City, Hebei Province, China


DOI: https://doi.org/10.59429/esp.v11i1.4380


Keywords: English-medium instruction; AI based pedagogies; corpus linguistics; psychology education; psychology of educational; AI based cognitive pedagogy; cognitive scaffolding; affective learning barriers; metacognitive development

Abstract

In this paper, corpus pedagogy empowered by Artificial Intelligence is explored as a new kind of tech intervention to address the complex challenges in implementing EMI in psychology programs of private higher education institutions in China. This study adopts a comprehensive 1,050,000-word corpus that includes public-domain acadEMIc resources such as BALE, MICUSP, and MIT OCW data on Clinical, Social, and Cognitive Psychology areas. The corpus is utilized to develop an AI-integrated system by GPT-4 API with advanced NLP algorithms to conduct automatic linguistic and psychological analysis. Comparing evaluations shows that there has been an increase of 13.2 times in the level of processing efficiency, cutting down the analysis time from 250 minutes to 18 minutes for 100,000 words at a time and increasing the degree of coverage in features by 27.2 percentage points as compared with the work done by humans. precision rates for syntactic feature extraction hit 72.2% psychological terminologies identification is at 87.9% but autonomy in depths of analyses comes in at 75.8% compared to human 82.0% and consistency levels are 81.0% relative to the human 87.3%. In terms of the implementation scrutiny, the data management is identified to be an important technological barrier with 87.0 as its severity. The API-related cost accounts for 121.7 when talking about financial ease and the needs are somewhat beyond those of minimal institutional ones at 103.7 as well. These could possibly be turning points for individually-tailored EMI methods to cut down the mental load and make them feel more engaged among the non-native Anglophone students. And point of value is it requires both person and A.I model together when it comes to interpreting psychology conversation.

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