Flexibility versus Formulaicity: Comparing Phrasal Verb Use between Human-written and AI-generated Academic Essays
Siyang Zhou
The Hong Kong University of Science and Technology, China
Chen Chen
Xi'an Jiaotong–Liverpool
Qingyang Wu
Oxford University
https://t.co/Muz6fOKTjX
Task-Based Needs Analysis as a Foundation for TBLT Course Design: Evidence from Thai University EFL Learners
Watcharaphong Soongpankhao
Rajamangala University of Technology Phra Nakhon, Bangkok
Craig Lambert
Curtin University, Perth, Australia
https://t.co/raqnsX6hjP
https://t.co/3x3kLZ9Dn0
Teachers’ Productive Emotion Vocabulary: Frequency Effects and the Roles of Language Proficiency and Trait Emotional Intelligence
Allen Jie Ein Chee* University of Nottingham Malaysia, Malaysia Csaba Zoltan Szabo University of Edinburgh, UK Sharimila
Exploring the Role of AI Technology Adoption in at-Risk Students' Absenteeism and Boredom
Ali Derakhshan
Golestan University, Gorgan, Iran
https://t.co/DRq4r4tTVf
An Exploratory Evaluation of GPT-4’s Consistency as an English Essay Rater: A Many-Facet Rasch Model Analysis of AI versus Human Rating Patterns
Austin Pack*
Steven Carter et al.
Brigham Young University-Hawaii, USA https://t.co/I2dMnO0KT6
From Novelty to Strategy: The Trajectory of Learner Perceptions in Human and AI-Assisted L2 Speaking Tasks
Gavin Bui
The Hang Seng University of Hong Kong, Shatin, Hong Kong SAR, China
https://t.co/PvF9grk1F8
The CLARIFIES+ Framework: A Contextualized Prompting Approach for Generative Artificial Intelligence
Jessie Barrot
National University, Philippines https://t.co/hIEnYaumAV
From Tasks to Talks: Enhancing EFL Oral Communication through Gamified Metaverse in Higher Education
Pornpimol Sukavatee
Jintavee Khlaisang
Chulalongkorn University, Thailand https://t.co/2SSs4bpGkm
Lexical Profile of ChatGPT-generated Reading Materials Targeting EFL Learners Across the CEFR Level
Nhat Ha Nguyen
The University of Danang
Xuechun Huang
Thi Ngoc Yen Dang
University of Leeds, UK
https://t.co/zAiwhb3NGK
A Method Tutorial in Using Linear Mixed-Effects Modeling in R to Understand Incidental Vocabulary Learning from Captioned Viewing
Mark Feng Teng
Macao Polytechnic University, Macau SAR China
https://t.co/L6BL2ESZGt
https://t.co/P4pbMC2rOf
Chinese EFL Learners' Use of English Synonyms: A Mixed Methods Study
Hanzhong Sun
University of Cincinnati, USA
Shaohua Fang
Purdue University, USA
Hye Pae
University of Cincinnati, USA
The Mediating Role of Vocabulary in Linking L1 Reading and L2 Proficiency
Siwon Park
Tetsuya Fukuda
Paul Wadden
Juntendo University, Japan
https://t.co/lLBEQc6001
Language, Power, and Identity in TESOL and beyond: Celebrating Ten Years of Darvin and Norton's (2015) Model of Investment
Special issue is out at https://t.co/GQ7ROoldIc