Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 11 |
Descriptor
Source
Author
Publication Type
Journal Articles | 11 |
Reports - Research | 7 |
Reports - Evaluative | 2 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 11 |
Postsecondary Education | 11 |
Audience
Location
Sweden | 11 |
Australia | 3 |
Netherlands | 3 |
Canada | 2 |
Malaysia | 2 |
United Kingdom | 2 |
United States | 2 |
Canada (Toronto) | 1 |
China | 1 |
Finland | 1 |
Hong Kong | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
Haffenden, Chris; Fano, Elena; Malmsten, Martin; Börjeson, Love – College & Research Libraries, 2023
How can novel AI techniques be made and put to use in the library? Combining methods from data and library science, this article focuses on Natural Language Processing technologies, especially in national libraries. It explains how the National Library of Sweden's collections enabled the development of a new BERT language model for Swedish. It…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Languages
Alexandra Farazouli; Teresa Cerratto-Pargman; Klara Bolander-Laksov; Cormac McGrath – Assessment & Evaluation in Higher Education, 2024
AI chatbots have recently fuelled debate regarding education practices in higher education institutions worldwide. Focusing on Generative AI and ChatGPT in particular, our study examines how AI chatbots impact university teachers' assessment practices, exploring teachers' perceptions about how ChatGPT performs in response to home examination…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Evaluation, Educational Change
Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
Svahn, Elin – Interpreter and Translator Trainer, 2021
This article reports on a longitudinal focus group study of two groups of translation students aimed at investigating their socialisation into the translation profession. The students followed the same MA programme in Translation Studies at a Swedish university but worked with different source languages (SL): Japanese and English. The focus group…
Descriptors: Foreign Countries, Translation, Longitudinal Studies, Masters Programs
Comprehension in English Medium Instruction (EMI) Lectures: On the Impact of Lecturer L2 English Use
Siegel, Joseph – Language Learning in Higher Education, 2020
The importance and amount of English as a Lingua Franca (ELF) usage and English Medium Instruction (EMI) lectures continue to increase on university campuses as universities worldwide seek to promote internationalization among both the student body and the faculty. While EMI has become a priority, the teaching and learning that occurs within this…
Descriptors: College Faculty, Language Usage, Language of Instruction, English (Second Language)
Karlsson, Monica – Studies in Second Language Learning and Teaching, 2013
In the present investigation, 15 first term university students were faced with 80 context-based idioms in English (L2) and Swedish (L1) respectively, 30 of which were in the source domain of animals, commonly used in both languages, and asked to explain their meaning. The idioms were of varying frequency and transparency. Three main research…
Descriptors: Native Language, Second Language Learning, Second Language Instruction, English (Second Language)
Karlström, Petter; Lundin, Eva – Computer Assisted Language Learning, 2013
Digital tools are not always used in the manner their designers had in mind. Therefore, it is not enough to assume that learning through CALL tools occurs in intended ways, if at all. We have studied the use of an enhanced word processor for writing essays in Swedish as a second language. The word processor contained natural language processing…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Novelty (Stimulus Dimension), Natural Language Processing
Norrby, Catrin; Hakansson, Gisela – Australian Review of Applied Linguistics, 2007
One of the ways to investigate the mental lexicon is to use word association tests. Empirical studies comparing associations by children and adults have indicated a tendency for children to give syntagmatic responses, whereas adults give paradigmatic responses. In order to investigate lexical development in L2 acquisition of Swedish we collected…
Descriptors: Control Groups, Associative Learning, Foreign Countries, Vocabulary Development
Knutsson, Ola; Pargman, Teresa Cerratto; Eklundh, Kerstin Severinson; Westlund, Stefan – Computers & Education, 2007
This paper presents a field study carried out with learners who used a grammar checker in real writing tasks in an advanced course at a Swedish university. The objective of the study was to investigate how students made use of the grammar checker in their writing while learning Swedish as a second language. Sixteen students with different…
Descriptors: Second Languages, Linguistics, Comprehension, Swedish
Fox, Eric J.; Sullivan, Howard J. – Journal of Educational Computing Research, 2007
The purpose of this study was to compare traditional classification training for a set of abstract concepts with multiple-relations training consisting of inference practice and the use of a content diagram. To examine this, 200 undergraduate and graduate psychology students completed a Web-based tutorial covering the abstract concepts of a…
Descriptors: Classification, Psychology, Internet, Higher Education