AI Article Synopsis
- * Researchers collected data from Chinese linguistic students using surveys and analyzed the results with advanced statistical methods.
- * Results show that gamification positively enhances language learning achievements, with motivation mediating this effect and digital literacy moderating it, suggesting that both factors are crucial for optimizing language education.
Article Abstract
Introduction: This study investigates the influence of gamification integration on language learning achievement among Chinese students while probing the mediating role of learners' motivation. Furthermore, it extends the boundaries of this investigation by exploring the moderating effect of digital literacy as a psychological predisposition.
Methods: Data is collected through surveys from Chinese students enrolled in linguistic programs, employing a stratified random sampling technique and analyzed via SmartPLS SEM.
Results: The findings affirm the significant and positive impact of gamification integration on language learning achievement. The study introduces a moderated mediation model where learners' motivation serves as the mediator, and digital literacy acts as a moderator, further accentuating the significant impact of this integrated approach.
Discussion: This research advances our theoretical understanding of language learning, validating gamification's effectiveness as a motivational tool, and introduces digital literacy as a critical factor, providing deeper insights into personalized language learning experiences.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11163042 | PMC |
| http://dx.doi.org/10.3389/fpsyg.2024.1295709 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Machine-Learning-Aided Engineering Hemoglobin as Carbene Transferase for Catalyzing Enantioselective Olefin Cyclopropanation.
JACS Au
December 2024
Key Laboratory of Molecular Enzymology and Engineering of Ministry of Education, School of Life Sciences, Jilin University, Changchun 130023, P. R. China.
In this study, we developed a machine-learning-aided protein design strategy for engineering hemoglobin (VHb) as carbene transferase. A Natural Language Processing (NLP) model was used for the first time to construct an algorithm (EESP, enzyme enantioselectivity score predictor) and predict the enantioselectivity of VHb. We identified critical amino acid residue sites by molecular docking and established a simplified mutation library by site-saturated mutagenesis.
View Article and Find Full Text PDFChallenges to Students' Learning and Wellbeing During Placement Abroad: A Qualitative Study Using Rich Pictures.
Perspect Med Educ
December 2024
School of Health Professions Education (SHE), Faculty of Health, Medicine and Life sciences, Maastricht University, Maastricht, The Netherlands.
Introduction: Undergraduate healthcare students on placement abroad can experience challenges that affect their wellbeing, personal and professional development. These challenges may result in students taking a more peripheral role in workplace activities, which negatively impacts learning. We studied .
View Article and Find Full Text PDFSmartChart Suite: a Fast Healthcare Interoperability Resources-based framework for longitudinal syphilis surveillance using structured and unstructured data.
JAMIA Open
February 2025
Georgia Tech Research Institute, Atlanta, GA 30308, United States.
Objective: The resurgence of syphilis in the United States presents a significant public health challenge. Much of the information needed for syphilis surveillance resides in electronic health records (EHRs). In this manuscript, we describe a surveillance platform for automating the extraction of EHR data, known as SmartChart Suite, and the results from a pilot.
View Article and Find Full Text PDFThe case for neurons: a no-go theorem for consciousness on a chip.
Neurosci Conscious
December 2024
Department of Philosophy, Institute of Technology Futures, Karlsruhe Institute of Technology, Douglasstraße 24, Karlsruhe 76133, Germany.
We apply the methodology of no-go theorems as developed in physics to the question of artificial consciousness. The result is a no-go theorem which shows that under a general assumption, called dynamical relevance, Artificial Intelligence (AI) systems that run on contemporary computer chips cannot be conscious. Consciousness is dynamically relevant, simply put, if, according to a theory of consciousness, it is relevant for the temporal evolution of a system's states.
View Article and Find Full Text PDFPrevalence of Preterm Birth in Saudi Arabia: A Systematic Review and Meta-Analysis.
Cureus
November 2024
Keep Well, Model of Care, Eastern Health Cluster, Dammam, SAU.
Preterm birth, defined as delivery before 37 weeks of gestation, is a significant contributor to neonatal morbidity and mortality worldwide. Understanding the prevalence of preterm birth is critical to improving neonatal care, informing public health strategies, and supporting health care planning. The objective of this study was to explore the problem of preterm birth in Saudi Arabia by estimating the prevalence of preterm birth over a defined period of time.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!