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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
The More Things Change: Grammatical Conservatism in Historical Narrative Texts at Late Classic Tikal
Emily K. Davis-Hale – ProQuest LLC, 2024
Tikal, notably conservative in culture among its peer polities, maintains that tendency in the case of monumental texts. In this dissertation I draw on a corpus of Late Classic monuments (ca. AD 600-900) to argue, through analysis of morphological forms, that scribal tradition at Tikal was not only conservative but intentionally so. Literacy…
Descriptors: American Indian Languages, Literacy, Language Attitudes, Language Variation
Kunal Sareen – Innovations in Education and Teaching International, 2024
This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…
Descriptors: Ethics, Decision Making, Artificial Intelligence, Computer Software
Yulia Agustina; Pratomo Widodo; Margana Margana – Journal of Education and Learning (EduLearn), 2024
In the current era, the use of corpora in language teaching is mainly explored in English classes as it has become a trend in education. Hence, this research aimed to identify the corpus metadata, frequently used words, and unique words related to the Islamic boarding school context to be used in the English instructional process. This research…
Descriptors: Boarding Schools, Islam, Religious Schools, Metadata
Zh. Zhakupov; N. Abdikarim; G. Syzdykova; K. Sarekenova; A. M. Umasheva; M. Adilov; L. Yespekova – Eurasian Journal of Applied Linguistics, 2024
The Khotons, in the west of Mongolia, were originally Turkic people who spoke the Khoton language, until the 19th century, which is currently considered extinct. This study aimed to prove that the Khoton language belonged to the Turkic languages; and to standardize the Swadesh inventory in relation to the Khoton words. The Swadesh inventory of…
Descriptors: Turkic Languages, Standard Spoken Usage, Semantics, Pronunciation
Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems
Bunyawat Sriwangrach – Shanlax International Journal of Education, 2024
This contrastive corpus-based study aims to analyze the similarities and differences of two synonyms "important" and "significant" concerning on the degree of formality in their distribution across genres as well as their collocations and semantic preference. The corpus data derived from the Corpus of Contemporary American…
Descriptors: Contrastive Linguistics, Computational Linguistics, North American English, Language Usage
Fiona Farr; Agnieszka Lenko-Szymanska – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
For some time, arguments have been made that for the increased successful use of corpus linguistics (CL), in the form of Data-Driven Learning (DDL; Johns, 1991) in the second language classroom, teacher education programs must play a central role by providing the necessary instruction and triggers. Three means of integrating corpora into teacher…
Descriptors: Computational Linguistics, Learning Analytics, Teacher Education Programs, English (Second Language)
Vera Kempe; Patricia J. Brooks; Steven Gillis – Language Teaching Research Quarterly, 2024
The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of…
Descriptors: Databases, Child Language, Language Acquisition, Language Research
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
Harun, Harryizman; Othman, Azliza; Annamalai, Subashini – Journal of Language and Linguistic Studies, 2021
The motif of the folktale is essentially the smallest and striking elements of narrative content with the ability to endure in tradition. It is divided into three categories: actor, item and single incident. These categories become the foundation that supports the built of the original motif-index of folk literature by Stith Thompson.…
Descriptors: Folk Culture, Literature, Text Structure, Computational Linguistics
Cassani, Giovanni; Bianchi, Federico; Marelli, Marco – Cognitive Science, 2021
In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition ("AoA") while controlling for frequency,…
Descriptors: English, Language Usage, Language Acquisition, Computational Linguistics
Lin, Jiayin; Sun, Geng; Beydoun, Ghassan; Li, Li – Educational Technology & Society, 2022
A newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time. With the assist of big data technology and cloud computing service, online learners can access tremendous fine-grained learning resources through micro learning service.…
Descriptors: Translation, Natural Language Processing, Informal Education, Online Courses
Kheovichai, Baramee – LEARN Journal: Language Education and Acquisition Research Network, 2022
This research investigated the discursive construction of COVID-19 in WHO director general's discourse through the lens of corpus linguistics and critical discourse analysis. 255 speeches of the WHO director general were collected, forming a 234,149-words corpus. Collocations of 'COVID-19' were generated and analyzed in terms of the semantic…
Descriptors: Phrase Structure, Discourse Analysis, COVID-19, Pandemics
Römer, Ute – Language Teaching, 2022
This plenary speech provides an overview of applications of corpus research in several core areas of applied linguistics, including second language acquisition and language assessment. It does this by showcasing a number of recent studies carried out by or with involvement of the author. These studies all focus on phraseological aspects of…
Descriptors: Applied Linguistics, Computational Linguistics, Second Language Learning, Language Tests