ENGLISH TEACHERS PERCEPTION OF MOBILE ASSISTED LANGUAGE LEARNING (MALL) [PDF]
Susanti, Suciani.A. 2020. English Teachers Perception of Mobile Assisted Language Learning (MALL) in Banyuwangi. Thesis, English Language Education Program, Faculty of Teacher Training and Education, University of Muhammadiyah Jember.
Suci, Suciani Anggi Susanti
core
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
This study examined the mobile-assisted language learning studies published from 2007 to 2016 in selected journals from the aspects of adopted mobile devices, mobile learning systems/resources, and the benefits and challenges of utilizing mobile devices ...
Qing-Ke Fu
doaj
The Integration of Mobile Learning in Teaching English for Law Enforcement. A Case Study
As the world entered the 21st century, mobile devices have taken over a large part of our daily lives, being used not only as communication tools, but also as instruments that allow easy access to information.
Cristina PIELMUȘ
doaj +1 more source
Mobile assisted language learning in learning English through social networking tools: An account of Instagram feed-based tasks on learning grammar and attitude among English as a foreign language learners. [PDF]
Teng C +4 more
europepmc +1 more source
Mobile Assisted Language Learning [PDF]
Seli Marlina Raja Leba +3 more
openaire +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Toward mobile learning deployment in higher education [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile Learning (M-learning) refers to any kind of learning which takes place within and beyond the traditional learning environment via wireless mobile ...
Abu-Al-Aish, Ahmad
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Navigating Mobile Learning: English Learners' Language Learning and Literacy Practices
Despite the fact that the majority of teenagers and young adults use smartphones, little research has studied English Learners’ (ELs’) actual mobile phone language practices, specifically, how and why ELs use their smartphones as language learning ...
Cho, Aram
core +1 more source

