🏷️ language-learning
23 pages tagged with language-learning(20 articles, 3 concepts)
📄 Acceptance of AI-Assisted English Language Learning Tools in Higher Education: Psychological Correlates Across Disciplinary and Proficiency Groups
> **Synthesis:** Wu et al. (2026) examined how learning motivation, self-efficacy, anxiety, and risk perception relate to acceptance of AI-assisted English language learning in a Chinese higher-educat…
📄 From Unified to Differentiated Materials: Generative AI–Supported Adaptation of EAP Reading Materials
> **Synthesis:** Gao (2026) examined whether generative-AI-supported adaptation of English for Academic Purposes (EAP) reading materials chiefly changes passage-level structural complexity or text-emb…
📄 Associations Between Generative AI–Based Pronunciation Feedback and Willingness to Communicate in English: The Mediating Role of English Pronunciation Self-Efficacy
> **Synthesis:** Lu et al. (2026) examined, through the lens of Social Cognitive Theory, whether Chinese university EFL learners' perceptions of generative-AI-based pronunciation feedback relate to th…
📄 A Posthumanist Approach to AI Literacy
> **Synthesis:** Wang and Wang (2025) argue for a posthumanist reframing of AI literacy, moving beyond the humanistic view of AI as a discrete "tool" used by autonomous human agents toward understandi…
📄 Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
> **Synthesis:** Roy & Roy (2026) argue that the **infrastructure of AI** — training corpora, tokenization, benchmarks, deployment architectures — systematically disadvantages speakers of underreprese…
🏷️ Storytelling in Education
> **Storytelling in education** — the use of narrative as a pedagogical tool to engage learners, convey meaning, and support knowledge construction, creativity, and emotional connection. Storytelling …
📄 AI-Guided Learning: Research on Knowledge and Skill Acquisition Support Methods Using Deep Learning Audio-Video Processing Techniques
> **Synthesis:** This dissertation develops an AI-guided learning framework that supports three interconnected stages — Consume, Understand, and Imitate — with three deep-learning systems for audio/vi…
2026-08-12 · personalized-learning, feedback-loop, self-regulated-learning, multimodal, student-modeling
📄 Face value: How avatar identity shapes epistemic trust in AI-mediated learning
> **Synthesis:** Two experiments examined how avatar race, gender, and age shape trust in AI-mediated education. Study 1 (N=102) used a within-subjects laboratory design; Study 2 (N=294) adopted a bet…
📄 Learning-to-learn in the age of generative AI: A scoping review and conceptual framework
> **Synthesis:** This paper presents a scoping review of learning-to-learn (L2L) definitions within pedagogical and psychological literature, identifying 21 relevant publications via PRISMA-ScR. It pr…
📄 Not a universal benefit: Examining the differential effects of emotional AI on L2 pre-service teachers' language learning
> **Synthesis:** This study challenges the assumption that emotional design in educational AI provides universal benefits, investigating when, for whom and how it impacts L2 vocabulary learning. A qua…
2026-08-10 · affective-computing, ai-education, ai-tutoring, educational-technology, edtech-platform
📄 TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring
> **Synthesis:** TACT (Taxonomy-Aligned Conversational Tutor) presents a human-grounded framework for training and evaluating pedagogically adaptive ESL tutors powered by [[llm|LLMs]]. Built on a Tuto…
🏷️ Language Learning
> **Language Learning** — the study of how AI supports second language (L2) acquisition, writing development, and linguistic diversity in educational settings. AI in education research in this wiki sp…
🏷️ AI in Writing Education
> **AI in writing education** — the use of AI tools for writing instruction, assessment, feedback, and the study of how generative AI reshapes the writing process itself. Writing education is one of t…
📄 Students' engagement with ChatGPT feedback: implications for student feedback literacy in the context of generative artificial intelligence
A qualitative study of **16 undergraduates** at a Hong Kong teacher-education university who used **ChatGPT 3.5** to obtain feedback on IELTS writing tasks. Data came from unobtrusive screen-recorded …
📄 Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes
Structured scholarly dialogue among five sociolinguists examining how GenAI tools influence academic writing practices, reinforce or disrupt linguistic hierarchies, and impact the legitimacy of divers…
📄 IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems
Presents a 24,795-example multilingual instruction dataset for teaching LLMs to deliver educational content grounded in Indian Knowledge Systems. Spans seven languages and bridges a gap in non-Western…
📄 AI tools in Arab University English classrooms: Looking back and forward
This paper aims to synthesize empirical research on AI tools used to support English as a second/foreign language (EL2) learners in Arab University classrooms (AUCs) between Jan 1st 2023 and Aug 31st …
📄 A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges
This survey provides the first systematic review of automated presentation coaching systems, organizing them along a five-dimensional task taxonomy: segmental pronunciation, lexical stress, suprasegme…
📄 DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
DysLexLens is a low-resource LLM framework designed to analyze how [[special-education|dyslexic learners]] experience AI tools by mining online forum discussions. The framework employs dictionary-driv…
📄 What Changes When the Interlocutor Is an AI? Interactional Fluency and Linguistic Uptake in L2 Spoken Dialogue
Scheinberg et al. (2026) analyze 78 university learners of German across four sites completing a counterbalanced spot-the-difference task with both a human peer and a real-time AI partner. Using diari…
📄 Supporting Tutors in the Gig Economy with Automated Feedback: A Case Study on Ringle
Park et al. (2026) explore AI-powered automated feedback for tutors on Ringle, a popular online English tutoring platform in the gig economy. Their research probe analyzed tutors' lessons and provided…
📄 What Makes Words Hard? Sakura at BEA 2026 Shared Task on Vocabulary Difficulty Prediction
🔗 [Code](https://github.com/adno/vocabulary-difficulty) This paper presents two complementary approaches to predicting vocabulary difficulty for language learners, achieving state-of-the-art results …
📄 Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety
Using an expert-designed children's reading curriculum and stories generated by GPT-4o and Llama 3.3 70B as training data, the authors fine-tuned three different 8B-parameter LLMs. **The fine-tuned 8B…