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Margaret A.L. Blackie – Teaching in Higher Education, 2024
Large language models such as ChatGPT can be seen as a major threat to reliable assessment in higher education. In this point of departure, I argue that these tools are a major game changer for society at large. Many of the jobs we now consider highly skilled are based on pattern recognition that can much more reliably be carried by fine-tuned…
Descriptors: Artificial Intelligence, Synchronous Communication, Science and Society, Evaluation
Eric Page; Gretchen Meyers; Eve Krahe Billings – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…
Descriptors: Theory Practice Relationship, Artificial Intelligence, Technology Integration, Computer Software
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
Anastasia Tzirides; Gabriela Zapata; Patrick Bolger; Bill Cope; Mary Kalantzis; Duane Searsmith – International Journal on E-Learning, 2024
This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…
Descriptors: Artificial Intelligence, Computer Software, Learning Experience, Feedback (Response)
Andrew Williams – International Journal of Research in Education and Science, 2025
The possibilities for integrating generative artificial intelligence (AI) and large language models (LLMs) into higher education may revolutionise approaches to pedagogical practices and curriculum design, while LLMs could be transformative in how students approach their learning. This conversation with ChatGPT, and associated critical evaluation,…
Descriptors: Science Education, Higher Education, Integrity, Artificial Intelligence
Harun Bayer; Fazilet Gül Ince Araci; Gülsah Gürkan – International Journal of Technology in Education and Science, 2024
The rapid advancement of artificial intelligence technologies, their pervasive use in every field, and the growing understanding of the benefits they bring have led actors in the education sector to pursue research in this field. In particular, the use of artificial intelligence tools has become more prevalent in the education sector due to the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Technology Uses in Education
Paterson, Kate – TESOL Journal, 2023
Multiple studies have shown that language learners and other students undertaking postsecondary studies in an additional language (L2) consult digital translation tools to complete course-related work despite general disapproval of their use by instructors. Significant improvements in the accuracy of machine translation (MT) along with their…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
Ehrensberger-Dow, Maureen; Delorme Benites, Alice; Lehr, Caroline – Interpreter and Translator Trainer, 2023
Recent developments in machine translation (MT) might have led some people to believe that soon professional translation will not be needed, but most translator trainers are aware of the high demand for the quality that MT systems cannot deliver without human intervention. It is thus important that professional translators, trainers and their…
Descriptors: Translation, Professional Education, Computational Linguistics, Computer Software
Yarbro, Jeffrey T.; Olney, Andrew M. – Grantee Submission, 2021
This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…
Descriptors: Definitions, Learning Processes, Models, Context Effect
Muhammad Mooneeb Ali, Editor; Muhammad Nadeem Anwar, Editor; Shawana Fazal, Editor; Shazia Ayyaz, Editor – IGI Global, 2025
The integration of artificial intelligence in language learning is transforming education by making language acquisition more personalized, efficient, and accessible. AI-powered tools, such as intelligent tutoring systems and adaptive learning platforms, enable learners to receive real-time feedback, customized lessons, and immersive experiences…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Akbari, Alireza – Journal of Further and Higher Education, 2021
Much progress has been made in the areas of diminishing, avoiding, and resisting plagiarism, due to the recent development of plagiarism tools. Many scholars/authors across the globe have been struggling with plagiarism, giving a number of lectures and writing articles pinpointing strategies that take into account on-line plagiarism services such…
Descriptors: Translation, Plagiarism, Integrity, Prevention
McGowan, Ian S. – International Association for Development of the Information Society, 2020
Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…
Descriptors: Higher Education, Online Courses, Cooperative Learning, Computer Science Education
Eun-Yong Kim; EunJou Oh – English Teaching, 2023
This study investigated the convergence of content and language integrated learning, translanguaging, and global citizenship education in an EFL tertiary English class. Conceptualized within translanguaging as an assemblage for meaning-making, machine translation was incorporated into the course in a way that EFL bilinguals could fully avail…
Descriptors: Code Switching (Language), Second Language Learning, Native Language, Translation
Dinneen, Cara – English Australia Journal, 2021
This article considers the challenges heralded by digital technology in relation to the management of academic integrity on high-stakes Direct Entry English Programs in Australia. Firstly, a number of the ways in which students are using digital tools to complete assignment writing are examined. Secondly, findings from a review of academic…
Descriptors: Phrase Structure, Integrity, Barriers, Information Technology
Huong, Pham Thi Thu; Phúc, Tr?n H?u – Journal of University Teaching and Learning Practice, 2023
The rapid development of high technology and the Internet has made online learning increasingly popular, especially in the last few years when the COVID-19 pandemic appeared and spread worldwide. However, implementing online English courses in the pre-COVID-19 period was not prevalent; and only a few courses utilized new technologies to teach the…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, COVID-19
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