Results 171 to 180 of about 67,162,078 (293)

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

The effectiveness of corpus-based high-frequency word acquisition strategies in improving English writing skills. [PDF]

Front Psychol
Li H, Zhu J.
europepmc   +1 more source

What is user engagement? revisited: A comprehensive review of the concept of user engagement from 2010 to 2025. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract User engagement (UE) has long been proposed as a holistic framework for understanding user‐technology interactions and a mediator for outcomes of digital technology use, such as learning, health behavior change, information acquisition, and social connectivity.
Heather L. O'Brien
wiley   +1 more source

Introduction: learner corpus research – past, present and future

, 2015
Granger, Sylviane, Gilquin, Gaëtanelle, Meunier, Fanny   +2 more
openaire   +2 more sources

The ultimate forgery: A semiotic deconstruction of large language models as engines of simulated selfhood

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley   +1 more source

Is hands-on learning still necessary in the age of AI? A thematic review. [PDF]

Front Psychol
Yu J, Liu L, Zhu Q.
europepmc   +1 more source

Learner corpus research for pedagogical purposes

International Journal of Learner Corpus Research
Sandra Götz, Sylviane Granger
openaire   +1 more source

Potential contribution of biomass gasification‐based technology in energy transition: a technical review coupled with bibliometric studies

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye, Electo Eduardo Silva Lora, Rubenildo Vieira Andrade, Leonardo Peña Pupo, René Lesme Jaén, Osvaldo José Venturini   +5 more
wiley   +1 more source

A stylometric machine learning framework for authorship attribution of ChatGPT and student generated texts. [PDF]

Front Artif Intell
P M, Arulanandam A.
europepmc   +1 more source

From anthelmintic to neuro‐oncology: A systematic review of mebendazole repurposing for brain tumour therapy

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Mebendazole (MBZ), a benzimidazole anthelmintic with established clinical use, has emerged as a repurposing candidate for primary brain tumours due to its multimodal anticancer actions and central nervous system penetrance. This systematic review synthesizes preclinical and clinical evidence evaluating MBZ's efficacy, mechanisms of action ...
Ciara B. Blum, Milli McMenamin, Tessa Khoo, John M. Edwin, Prathibha Jose, Liam A. O’Callaghan   +5 more
wiley   +1 more source