Results 191 to 200 of about 138,115 (305)

A systematic mapping review on how generative artificial intelligence impacts social and emotional learning: A case of large language model chatbots

open access: yesReview of Education, Volume 14, Issue 1, April 2026.
Abstract Large language model (LLM) chatbots have rapidly emerged as powerful tools in education, offering new avenues to support social and emotional learning (SEL). Literature lacks synthesis studies related to SEL competencies and how LLM chatbots are used to foster them, that is, affordances.
Haolan Liu   +3 more
wiley   +1 more source

College English Teaching and Evaluation Research Based on Machine Learning

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Through linear weighted integration of logistic regression and ensemble decision tree models, the proposed approach significantly improves prediction accuracy for student exam pass rates, with the fusion model achieving an AUC value of 0.632. These findings highlight that students' prior English proficiency, learning commitment, and attitudes ...
Yuanna Zhu   +3 more
wiley   +1 more source

“I Need to Be Prepared”: EFL Teachers in Korea and GenAI's Influence on Their Professional Identities

open access: yesFuture in Educational Research, Volume 4, Issue 1, Page 18-29, March 2026.
ABSTRACT The proliferation of generative artificial intelligent (GenAI) models and tools are revolutionizing how existing practices are transformed across multiple industries, including English language education. Simultaneously, the capabilities of these models are shaping how teachers reevaluate their roles as educators, especially in high‐stakes ...
Josh Hayes, A. Jane Loper
wiley   +1 more source

Technological, Pedagogical, and Content Knowledge‐Universal Design for Learning‐Science, Technology, Engineering, and Mathematics Scale: Possibility to Create Inclusive Chemistry Learning

open access: yesFuture in Educational Research, Volume 4, Issue 1, Page 121-137, March 2026.
ABSTRACT Inclusive chemistry learning is possible. Three frameworks that can be considered to create inclusive chemistry learning are Technological Pedagogical and Content Knowledge (TPACK), Universal Design for Learning (UDL), and Science, Technology, Engineering, and Mathematics (STEM).
Muhamad Aditya Hidayah   +1 more
wiley   +1 more source

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