Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Invotec  /  Vol: 17 Núm: 2 Par: 0 (2021)  /  Artículo
ARTÍCULO
TITULO

Predictive Effects of Motivation, Attitude, and Gender on Senior Secondary School Students? Performance in Woodworking Technology

Oladiran Stephen Olabiyi    

Resumen

The study investigated the predictive effects of motivation, attitudes, and gender on senior secondary year two students? performance in woodworking technology in Lagos state. It employed the descriptive-correlation method of research and data were obtained using a woodworking proficiency test (WWPT) with a KR-20 reliability coefficient of 0.85 from the sample of 180 students randomly selected. Data were analysed using descriptive and inferential statistics, including mean, standard deviation, independent samples t-test and multiple regression analysis to test hypotheses at 5% level of significance. Findings revealed that motivation and attitude towards woodworking technology predicted students? performance in woodworking technology. The male students differed from female counterparts in woodworking technology performance. Male students were more motivated and have a positive attitude towards woodworking technology than females. However, no significant difference existed between the mean scores of the male and females in all the variables. It was recommended that educational institutions should have significant influence on students? motivation and attitude through provision of supportive services, training facilities to engender social creativity and achieving desired goals and meeting required students? academic performance.

 Artículos similares

       
 
Chunlin Zhong, Kangsheng Xue, Yakun Wang, Peng Luo and Xiaobo Liu    
Understanding the fluid pattern is of special significance for estimating the hydraulic conductivity of fractured rock masses. The nonlinearity of fluid flow in discrete fracture networks (DFNs) originates from inertial effects and is enhanced by complex... ver más
Revista: Water

 
Thomas J. Tewes, Michael C. Welle, Bernd T. Hetjens, Kevin Saruni Tipatet, Svyatoslav Pavlov, Frank Platte and Dirk P. Bockmühl    
Numerous publications showing that robust prediction models for microorganisms based on Raman micro-spectroscopy in combination with chemometric methods are feasible, often with very precise predictions. Advances in machine learning and easier accessibil... ver más
Revista: AI

 
Rogério Luiz Cardoso Silva Filho, Kellyton Brito and Paulo Jorge Leitão Adeodato    
This study presents an approach to investigating the main interventions related to gains on performance using a combination of educational data mining (EDM) techniques and traditional theory-driven models. The goal is to overcome the limitation of previo... ver más
Revista: Applied Sciences

 
I Komang Agus Ady Aryanto, Dechrit Maneetham and Padma Nyoman Crisnapati    
This research focuses on enhancing neonatal care by developing a comprehensive monitoring and control system and an efficient model for predicting electrical energy consumption in incubators, aiming to mitigate potential adverse effects caused by excessi... ver más
Revista: Applied Sciences

 
Fengrui Zhang, Dayong Ning, Jiaoyi Hou, Hongwei Du, Hao Tian, Kang Zhang and Yongjun Gong    
Efficiently salvaging shipwrecks is of the utmost importance for safeguarding shipping safety and preserving the marine ecosystem. However, traditional methods find it difficult to salvage shipwrecks in deep water. This article presents a novel salvage t... ver más