Results 81 to 90 of about 1,003,741 (265)

M-LEARNING IN EDUCATION

open access: yesInternational Journal of Research in Engineering and Technology, 2014
Computers are still lab and class oriented but now as tablets and mobiles have an advanced technology, which is advancing day by day. Computers can be used for learning beyond classroom through mobile devices which leads to a more practical and logical learning. This is based on group learning which takes place through a mobile device.
openaire   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Assessment of academic achievements in m-learning. [PDF]

open access: yesEduc Inf Technol (Dordr), 2023
Lebedeva M, Taranova M, Beketov V.
europepmc   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High-quality annotations are a critical success factor for machine learning (ML) applications. To achieve this, we have traditionally relied on human annotators, navigating the challenges of limited budgets and the varying task-specific expertise, costs,
Jacob Beck   +4 more
doaj   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

Can generative AI help realize the shift from an outcome-oriented to a process-outcome-balanced educational practice?

open access: yesEducational Technology & Society
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including
Yueh-hui Vanessa Chiang   +2 more
doaj   +1 more source

Implementation of media in mobile devices: a framework for a large-scale application in distance education

open access: yesRIED: Revista Iberoamericana de Educación a Distancia, 2017
The intensive use of information Technologies has created conditions for the development of a new mode of educational mediation called mobile learning.
Ana Luisa Mülbert   +1 more
doaj   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

Home - About - Disclaimer - Privacy