Results 121 to 130 of about 823 (248)

A study of external intervention and school improvement in schools facing challenging circumstances [PDF]

open access: yes
Central Government has identified a group of schools deemed to be 'Schools facing Challenging Circumstances'. These schools tend to be low attaining schools that serve socio-economically deprived communities.
Chapman, Christopher James
core  

Avoiding De‐Skilling and Dependency: A Practical Guide to Using Generative AI in TESOL Teacher Education

open access: yesTESOL Quarterly, EarlyView.
Abstract This focused article argues that generative AI (GenAI) in TESOL teacher education (TTE) must be reconceptualized to address the risk of teacher de‐skilling and GenAI dependency. Otherwise, teachers may offload professional work onto GenAI before developing evidence‐informed pedagogies and safeguards.
Lucas Kohnke, Benjamin Luke Moorhouse
wiley   +1 more source

The Perceptions of members of the Karen and Hmong Hill tribes of the impacts upon their communities resulting from the development of tourism in Northern Thailand. [PDF]

open access: yes
This research investigates the perceptions of hill tribe people in Northern Thailand of the sociocultural impacts and changes in their communities resulting from the interaction between themselves, their communities and the incoming mainly Thai, origin ...
Kaewnuch, Kanokkarn
core  

Reflections on the Future of Statistics Education in a Technological Era

open access: yesTeaching Statistics, EarlyView.
ABSTRACT Keeping pace with rapidly evolving technology is a key challenge in teaching statistics. To equip students with essential skills for the modern workplace, educators must integrate relevant technologies into the statistical curriculum where possible.
Craig Alexander   +2 more
wiley   +1 more source

Clarity Without Credibility? Human Versus AI Abstracts in Otolaryngology

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective This study evaluated whether otolaryngologists can distinguish between human‐ and machine‐written abstracts. The primary question was whether large language models (LLMs) produce abstracts comparable in clarity and usefulness to human‐authored work, and whether reviewers can identify authorship with accuracy.
Sholem Hack   +12 more
wiley   +1 more source

Blinded by the Bot: Benchmarking GPT and Gemini Against Human Authors in Otolaryngology Reviews

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To compare the quality of scientific review articles generated by two artificial intelligence systems, ChatGPT and Gemini, with those written by human authors in the field of otolaryngology. Methods Two otolaryngology topics, chronic rhinosinusitis and infantile subglottic hemangioma, were selected.
Sholem Hack   +8 more
wiley   +1 more source

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