Background: Deep learning is an important outcome of the higher education and is mostly determined by students' approaches to learning (SALs). The latest version of the Study Process Questionnaire (SPQ) is one of the most used instruments assessing SALs. Many studies from various contexts have either validated or used this famous tool. But none of them-to the best of our knowledge-stem from the Moroccan tertiary context. The current study fills this gap by first: Getting a local translation of the questionnaire following the standardized methodological process and secondly to update the validity and psychometric properties of the construct.
Materials And Methods: Arabic back translation was performed. Data were collected among tertiary scientific students. Descriptive statistics, Cronbach's coefficient alpha, and confirmatory factor analysis were carried out under SPSS version 22.
Results: A strong fit of the dichotomic construct (deep and surface) was found, whereas the hierarchical models were disappointing.
Conclusions: Following the standards of the psychometrics' validation, this Arabic version could be used only in first-order factor model to evaluate the deep and surface approach within tertiary education in Moroccan context.
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http://dx.doi.org/10.4103/jehp.jehp_203_23 | DOI Listing |
IUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Nursing Practice Development Unit, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Aims: To evaluate the implementation process of a novel program focused on improving interactive (dialogic) feedback between clinicians and students during placement.
Design: Quantitative cross-sectional hybrid type 3 effectiveness-implementation study driven by a federated model of social learning theory and implementation theory.
Methods: From June to November 2018, feedback approaches supported by socio-constructive learning theory and Normalisation Process Theory were enacted in four clinical units of a healthcare facility in southeast Queensland, Australia.
Psychophysiology
January 2025
School of Psychology, Beijing Sport University, Beijing, China.
Previous studies demonstrated that sensorimotor training enhances interoceptive abilities. Athletes are highly engaged in performance-driven physical training and often incorporate-to varying degrees-sensorimotor training into their routines. In this study, we investigated the role of individual differences in interoception by comparing professional athletes of different performance levels and both sexes with recreational athletes and controls, applying a three-dimensional model of interoception.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Computer Science, University of Innsbruck, Technikerstrasse 21a, Innsbruck, 6020, Austria. Electronic address:
The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of multiple trials to extract valuable neural signals from the high noise content of EEG data. However, this averaging technique may conceal relevant information.
View Article and Find Full Text PDFActa Psychol (Amst)
January 2025
Department of Education, University of Bath, United Kingdom; Department of English Language and Literature, Khazar University, Azerbaijan. Electronic address:
This empirical study investigates the relationship between mindfulness and online engagement among Bangladeshi English as a Foreign Language (EFL) learners during the Covid-19 pandemic. A mixed-methods approach was employed, combining quantitative data from the Langer Mindfulness Scale (LMS) and the Online Student Engagement Scale (OSES) with qualitative data from open-ended responses. A total of 215 university students participated in the study, providing insights into their mindfulness levels and engagement in online learning.
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