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Katt Blackwell-Starnes – Thresholds in Education, 2025
This paper examines the use of ChatGPT as an educational tool to teach writing and revision in a first-semester writing course in Fall 2023 at a regional university. The course used ChatGPT as a classroom model to show students how to ethically use generative AI as part of their writing and revision process. One-on-one conferences about student…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing Instruction
Pedro Isaias; Tania Hoque; Paula Miranda – International Association for Development of the Information Society, 2024
While the higher education sector is continuously searching for innovative technologies, the use of chatbots requires extensive research and careful consideration of their pedagogical value. The lessons learned from lecturers who experiment with chatbots can constitute important evidence to support their use. This paper presents a chatbot…
Descriptors: Instructional Material Evaluation, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Amri, M. Misbahul; Basthomi, Yazid – TEFLIN Journal: A publication on the teaching and learning of English, 2022
The present article reports our reflections on how to teach an introductory course on poetry in an Indonesian tertiary educational institution where English is a foreign language. The reflections are made on the basis of our experiences of teaching the course, the main challenge of which centres on students' wronged perception of what poetry is;…
Descriptors: Foreign Countries, Poetry, Teaching Methods, Second Language Learning
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The ability of generative-AI tools such as ChatGPT, Gemini and Claude to both 'write' and 'read' texts in a human-like manner means they are set to play an increasingly important role in the literacy lives of children, young people and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Cotelli Kureth, Sara; Summers, Elana – Language Learning in Higher Education, 2023
University students, especially language learners, have increasingly been using machine translation (MT) systems in the last decade and for all kinds of texts, including homework, assignments and exams. This ubiquity does not translate into visibility as few teachers address the subject in class. Several researchers have shown that MT systems,…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
Klekovkina, Vera; Denié-Higney, Laurence – L2 Journal, 2022
Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…
Descriptors: Translation, Computational Linguistics, Interdisciplinary Approach, Writing Instruction
What to Expect from Neural Machine Translation: A Practical In-Class Translation Evaluation Exercise
Moorkens, Joss – Interpreter and Translator Trainer, 2018
Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…
Descriptors: Translation, Teaching Methods, Computational Linguistics, Quality Assurance
Schmied, Josef – Research-publishing.net, 2021
This chapter reports on the 'Corona teaching' in a department of English studies at a German university of technology. It discusses the general frame in the German university system and in this specific department, faculty and university. It focuses on the responses depending on participants and learning objectives. One larger lecture for 1st year…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Masters Programs
Nagata, Noriko – CALICO Journal, 2010
This paper discusses several design issues in the development of a new online Japanese textbook, called "Robo-Sensei: Japanese Curriculum with Automated Feedback". When it is completed, the new online textbook will present a full Japanese curriculum. It extends a previously published online software program, "Robo-Sensei: Personal Japanese Tutor"…
Descriptors: Feedback (Response), Class Activities, Student Attitudes, Learning Activities
Enns, Charlotte – Exceptionality Education International, 2009
The purpose of this paper is to describe a variety of teaching and learning strategies that were used within a classroom of Deaf adults participating in a high school English course as part of an upgrading program. The class was conducted in a bilingual manner; that is, being Deaf and communicating with American Sign Language (ASL) was not…
Descriptors: Deafness, Learning Strategies, Writing Skills, American Sign Language
Liou, Hsien-Chin; Chang, Jason S; Chen, Hao-Jan; Lin, Chih-Cheng; Liaw, Meei-Ling; Gao, Zhao-Ming; Jang, Jyh-Shing Roger; Yeh, Yuli; Chuang, Thomas C.; You, Geeng-Neng – CALICO Journal, 2006
This paper describes the development of an innovative web-based environment for English language learning with advanced data-driven and statistical approaches. The project uses various corpora, including a Chinese-English parallel corpus ("Sinorama") and various natural language processing (NLP) tools to construct effective English…
Descriptors: Natural Language Processing, English (Second Language), Bilingualism, Web Based Instruction
Ding, Yanren – System: An International Journal of Educational Technology and Applied Linguistics, 2007
Good language learner studies show that attending to form is associated with successful learning. This paper reports interviews with three university English majors who had won prizes in nationwide English speaking competitions and debate tournaments in China. The interviewees regarded text memorization and imitation as the most effective methods…
Descriptors: Imitation, Memorization, Foreign Countries, Linguistic Input
Edgington, Theresa M. – Journal of Information Technology Education: Innovations in Practice, 2011
Text analytics refers to the process of analyzing unstructured data from documented sources, including open-ended surveys, blogs, and other types of web dialog. Text analytics has enveloped the concept of text mining, an analysis approach influenced heavily from data mining. While text mining has been covered extensively in various computer…
Descriptors: Feedback (Response), Constructivism (Learning), Web Sites, Class Activities
Parris, David L. – TEANGA: The Irish Yearbook of Applied Linguistics, 1996
The apparent difficulty of students of French as a second language to acquire French vocabulary is examined, drawing on experience with teaching Irish university students and the structures and stylistic traits peculiar to French. It is noted that while certain kinds of words (noun, verb, adjective, adverb) occupy little space in text, they take…
Descriptors: College Students, Foreign Countries, French, Higher Education
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