Sep 2026· Journal of Language Teaching and Research
Abstract
The quantitative study examines the effectiveness of artificial intelligence writing prompts in teaching English for Specific Purposes (ESP) to 221 students from technical disciplines. The survey findings indicated that between 60% and 70% of respondents found the prompts readable and helpful for improving their writing and for receiving feedback. However, only 54.8% of participants strongly supported the diversity of prompts. Structured activities were perceived as the most beneficial, specifically narrative reviews (68.8%), slang exercises (68.3%), and essay completions (65.1%). Sixty-one percent to seventy-five percent of students reported perceived improvements in their capabilities, with 74.2% indicating that their confidence and attitudes towards writing were enhanced. The research confirms that AI is an effective tool for structured writing activities in line with the principles of Vygotskian education. However, AI's potential to encourage creative activities is limited, underscoring the importance of further human-centered instruction. These results provide important insights into how ESP curricula should be developed and suggest that further research is needed in non-technical areas.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations of such models.
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.
Jinhe Bi, Yifan Wang, Danqi Yan et al.· arXiv.org· 73 citations· ⚡4
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
This paper designs Markov decision processes (MDPs) for different combinatorial problems and proposes to train conditional GFlowNets to sample from the solution space and demonstrates that GFlowNet policies can efficiently find high-quality solutions.
Dinghuai Zhang, H. Dai, Esmeralda S. Whitammer et al.· Advances in Neural Informati...· 59 citations· ⚡8
An empirical study on the current state of practice in artificial intelligence ethics is conducted by means of a multiple case study of five case companies, which indicates a gap between research and practice in the area.
Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen et al.· arXiv.org· 56 citations· ⚡6