Results 41 to 50 of about 3,421,563 (299)

Analyzing EFL learners’ demotivating factors in blended learning context

open access: yesFrontiers in Psychology, 2023
In second language and foreign language learning, demotivation in learning is a common occurrence. Almost all previous studies on learners’ demotivation focused on traditional classroom learning environment rather than blended learning setting.
Wenjing Zhou   +3 more
doaj   +1 more source

Reducing Students' Foreign Language Anxiety in Speaking Class Through Cooperative Learning [PDF]

open access: yes, 2018
One of the challenges in teaching English as a foreign language to students in Indonesia is the existence of Foreign Language Anxiety (FLA) that are faced by students at any level of education.
Susidamaiyanti, S. (Susidamaiyanti)
core  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Bibliometric analysis on local wisdom research in Southeast Asia

open access: yesDiscover Global Society
Local wisdom, encompassing indigenous knowledge, cultural heritage, and traditional practices, remains a central pillar of social identity and sustainable development across Southeast Asia.
Abang Mohd Razif Abang Muis   +1 more
doaj   +1 more source

Assessing the effect of Augmented Reality on English language learning and student motivation in secondary education

open access: yesFrontiers in Education
The integration of Augmented Reality (AR) in language learning has garnered attention in the field of education, yet its effectiveness in enhancing grammar proficiency among secondary school students remains relatively unexplored, especially given that ...
Victor Marrahi-Gomez, Jose Belda-Medina
doaj   +1 more source

Checklist: Evaluative criteria for computer-delivered language learning systems [PDF]

open access: yes, 1998
The Multimedia Language Learning Software website was developed as a follow-up to the 1998 Invitational Symposium on Assessing and Advancing Technology Option in Language Learning.
Invitational Symposium on Assessing and Advancing Technology Options in Language Learning (AATOLL)
core  

Memory, learning and language in autism spectrum disorder [PDF]

open access: yes, 2018
Background and aims: The ‘dual-systems’ model of language acquisition has been used by Ullman and colleagues to explain patterns of strength and weakness in the language of higher-functioning people with autism spectrum disorder (ASD).
Bodison S.   +9 more
core   +2 more sources

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

open access: yesFEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková   +3 more
wiley   +1 more source

Planning clil units in primary education from a cognitive perspective [PDF]

open access: yes, 2018
The Content and Language Integrated Learning (CLIL) approach has experienced a considerable growth and it is being progressively integrated into curricula all across Europe. It is a dual educational approach in which content and language must be combined.
Salaberri Ramiro, María S.   +1 more
core   +3 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

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