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Direct linkIria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
Download full textÜmit Ünsal Kaya – Asian Journal of Distance Education, 2024
This article explores the multifaceted implications of integrating advanced generative AI technologies, specifically ChatGPT, into academic writing and research. It delves into the potential benefits and challenges that arise from the speculative advancements of ChatGPT, emphasizing the dual-edged nature of its capabilities. On one hand, ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Ethics
Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
Jae Q. J. Liu; Kelvin T. K. Hui; Fadi Al Zoubi; Zing Z. X. Zhou; Dino Samartzis; Curtis C. H. Yu; Jeremy R. Chang; Arnold Y. L. Wong – International Journal for Educational Integrity, 2024
The application of artificial intelligence (AI) in academic writing has raised concerns regarding accuracy, ethics, and scientific rigour. Some AI content detectors may not accurately identify AI-generated texts, especially those that have undergone paraphrasing. Therefore, there is a pressing need for efficacious approaches or guidelines to…
Descriptors: Artificial Intelligence, Investigations, Identification, Human Factors Engineering
Yanchao Yang; Zehang Tan; Xinxin Yang – Turkish Online Journal of Educational Technology - TOJET, 2025
As the U.S. government enforces a ban on TikTok, many users are seeking alternative platforms, creating unprecedented opportunities for Chinese social media applications, particularly platforms like Xiaohongshu (RedNote). These platforms have seen a significant increase in downloads in the U.S. market, showcasing the global potential of Chinese…
Descriptors: Refugees, Social Media, Computer Mediated Communication, Accuracy
Heiner, Cecily; Zachary, Joseph L. – International Working Group on Educational Data Mining, 2009
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…
Descriptors: Classification, Questioning Techniques, Introductory Courses, Computer Science Education
