This meta-analysis examines the association between teacher support and students' academic emotions [both positive academic emotions (PAEs) and negative academic emotions (NAEs)] and explores how student characteristics moderate these relationships. We identified 65 primary studies with 58,368 students. The results provided strong evidence linking teacher support and students' academic emotions. Furthermore, students' culture, age, and gender moderated these links. The correlation between teacher support and PAEs was stronger for Western European and American students than for East Asian students, while the correlation between teacher support and NAEs was stronger for East Asian students than for Western European and American students. Also, the correlation between teacher support and PAEs was strong among university students and weaker among middle school students, compared to other students. The correlation between teacher support and NAEs was stronger for middle school students and for female students, compared to other students.
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http://dx.doi.org/10.3389/fpsyg.2017.02288 | DOI Listing |
Br J Educ Psychol
January 2025
University of Reading, Reading, UK.
Background: Effective classroom communication is key to shaping the learning environment and inspiring student engagement. And, it's not just what is said, but how it's said, that influences students. Yet, few (current or future) teachers receive education on vocal pedagogy.
View Article and Find Full Text PDFInt J Lang Commun Disord
January 2025
Division of Communication Sciences and Disorders, University of Cape Town, Rondebosch, South Africa.
Background: There is a global need for synthetic speech development in multiple languages and dialects, as many children who cannot communicate using their natural voice struggle to find synthetic voices on high-technology devices that match their age, social and linguistic background.
Aims: To document multiple stakeholders' perspectives surrounding the quality, acceptability and utility of newly created synthetic speech in three under-resourced South African languages, namely South African English, Afrikaans and isiXhosa.
Methods & Procedures: A mixed methods research design was selected.
Foods
December 2024
Key Laboratory of Animal Immunology, Ministry of Agriculture and Rural Affairs & Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.
The ingestion of food contaminated with citrinin (CIT) poses a variety of health risks to humans and animals. The immunogens (CIT-COOH-BSA, CIT-H-BSA) and detection antigen (CIT-COOH-OVA, CIT-H-OVA) were synthesised using the active ester method (-COOH) and formaldehyde addition method (-H). A hybridoma cell line (3G5) that secretes anti-CIT monoclonal antibodies (mAbs) was screened via CIT-H-BSA immunisation of mice, cell fusion, and ELISA screening technology.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Gansu Industry Technology Center of Transportation Construction Materials Research and Application, Lanzhou Jiaotong University, Lanzhou 730070, China.
In order to study the effect of the crushing process on the fine separation of reclaimed asphalt pavement (RAP) and the mechanical properties of cement-stabilised aggregate mixed with RAP, four crushing processes, namely small mesh hammer crushing, hammer crushing, jaw crushing, and double roller crushing, were used to separate the aggregate from asphalt in RAP materials. The effect of crushing on the grading characteristics and agglomeration condition of RAP material was investigated. RAP cement-stabilised aggregates were prepared and analysed for their mechanical properties and micro-morphology using RAP materials obtained from fine separation.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland.
This study focuses on selecting a suitable 3D printer and defining experimental methods to gather the necessary data for determining the optimal filament material for printing components of the VEX GO and VEX IQ robotic kits. The aim is to obtain the required data to identify an appropriate filament material and set 3D printing parameters to achieve the desired mechanical properties of the parts while maintaining cost-effectiveness. Another key objective is achieving optimal operational functionality, ensuring the required part performance with minimal printing costs.
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