Learn-En

An in-depth analysis of the Bi-Directional Attention Flow (BiDAF) network, a hierarchical model for machine comprehension that achieves state-of-the-art results on SQuAD and CNN/DailyMail.

A case study analyzing how English as a Foreign Language (EFL) secondary students use and learn prompt engineering with ChatGPT to complete writing tasks, highlighting distinct pathways and educational implications.

Analysis of deep learning techniques, including BERT and transfer learning, for emotion classification in short English texts, featuring the SmallEnglishEmotions dataset.

EDEN is an empathetic AI chatbot for English learning that provides adaptive feedback to improve student grit and perceived affective support through personalized dialogue systems.

Research on EDEN, an empathetic AI chatbot for English learning that provides grammatical feedback and adaptive empathetic responses to improve student grit and learning outcomes.

A comprehensive analysis of MPSA-DenseNet, a novel deep learning model combining multi-task learning and attention mechanisms for high-accuracy English accent classification across native and non-native speakers.

Analysis of Google Classroom's role in ELT, examining its impact on blended learning, student engagement, and the shift from teacher-centered to technology-facilitated education.

Analysis of vocabulary difficulties for English learners and development of complex grammaticized Romanian-English dictionaries using ICT approaches in applied linguistics.

Research on transfer learning from English PLMs to Malaysian English for improved Named Entity Recognition and Relation Extraction performance in low-resource settings.

Research study examining relationships between metacognitive reading strategies, reading motivation, and reading comprehension performance among Saudi college-level EFL students.

Critical analysis of neural language models as cognitive models for language acquisition, highlighting benchmark limitations and advocating for human-evaluated datasets.

A dual-encoder neural network model that generates explanations for non-standard English words and phrases using context from social media data.

A comprehensive analysis of 700 million words from Facebook messages reveals how language correlates with personality, gender, and age using data-driven, open-vocabulary techniques.

A prototype humanoid robotic system using LSTM neural networks for text generation to assist English language self-learners, with experimental results showing grammatical improvement.

Research on applying schema theory to improve IELTS listening comprehension through cognitive linguistics approaches, language acquisition stages, and practical teaching methodologies.

Research on cross-linguistic transfer in second language acquisition using BERT models and Child-Directed Speech data from 5 typologically diverse languages.

Research on Thai students' motivation in English learning and teachers' motivational strategies based on Self-Determination Theory, with findings on autonomy-support vs controlling approaches.

A comprehensive analysis of educational games and intelligent tutoring systems in Chinese language learning from 2017-2022, examining effectiveness, student motivation, and future research directions.

A comprehensive analysis of educational games and intelligent tutoring systems in Chinese language acquisition, examining effectiveness, motivation, and future research directions.

A study on combining model-based and data-driven learning for unification-based grammar acquisition using the Spoken English Corpus, demonstrating improved parse plausibility.