Results 141 to 150 of about 3,454 (261)

Arabic Learner Corpus (ALC) v2 : A New Written and Spoken Corpus of Arabic Learners

Learner Corpus Studies in Asia and the World, 2014
Alfaifi, Abdullah, Atwell, Eric, Ibraheem, Hedaya   +2 more
openaire   +2 more sources

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Learning Preference Profiles and Visual Narratives in Higher Education: Relevance to Human Intelligence Research. [PDF]

J Intell
Bohórquez-Ponce SD, Buelvas EJH, López-López EM, Bru-Cordero OE, Correa-Álvarez CD.   +4 more
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
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

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

Technology-mediated feedback in instrumental music practice, performance, and learning: a systematic review of feedback architectures, performance outcomes, and effect-size feasibility. [PDF]

Front Psychol
Zhang S, Liu 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

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