Evaluating ChatGPT-3’s efficacy in solving coding tasks: implications for academic integrity in English language assessments

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Опубликовано в::	Language Testing in Asia vol. 15, no. 1 (Dec 2025), p. 37
Главный автор:	Elhambakhsh, Seyedeh Elham
Опубликовано:	Springer Nature B.V.
Предметы:	Wikipedia OpenAI Teaching Higher education Students Metadata English language Complexity Plagiarism Automation Language assessment Code reuse Feedback Teachers Chatbots Artificial intelligence Human-computer interaction Computer assisted language learning Algorithms TESOL Cheating English as a second language instruction Task performance Risk assessment Efficacy Task complexity Academic work Morality Academic achievement Evaluation Data analysis Dishonesty Academic standards Limitations Complex tasks Academic writing Critical thinking Rating Scales Influence of Technology Intellectual Disciplines Educational Technology Measurement Techniques English (Second Language) Judges Integrity Time Coding Educational Assessment Difficulty Level English
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