ABSTRACT: This article explores an innovative educational model pioneered by the KIP Education and Training ID Center (KIP Edu Center), which synergizes Howard Gardner’s theory of multiple ...
ABSTRACT: The main objective of this study is to assess the training and development practices and challenges in the case of the Ethiopian Investment Commission. Lack of an effective training program ...
ABSTRACT: This study was carried out to determine students’ perception of the Physical Education Curriculum at the University of Education Winneba (UEW), Ghana. A descriptive survey research design ...
ABSTRACT: Digital transformation is reshaping the competitive landscape for businesses, challenging traditional strategic management theories. This study conducts a critical review of the adaptability ...
ABSTRACT: These days, Artificial Intelligence (AI) applications and technologies are widely employed in the education sector and used by students as part of their learning process. To achieve the ...
TITLE: Molecular Dynamics, Physical Properties, Diffusion Coefficients and Activation Energy of the Lithium Oxide (Li-O) and Sodium Oxide (Na-O) Electrolyte (Cathode) ...
ABSTRACT: This study aimed to examine the surface and content validity of the Mentoring Function Scale for Novice Nurses, used to assess the mentoring of entry-level nurses, and to refine the scale ...
ABSTRACT: This article explores the different dimensions of interaction, including technological, pedagogical, and social, within the International Development Institute (IUDI). The research sheds ...
ABSTRACT: Parkinson’s disease (PD) is a neurodegenerative disease that occurs due to loss of nerve cells that produce dopamine in the brain, affecting approximately 4 million people worldwide. PD ...
ABSTRACT: In the ever-evolving landscape of technology, artificial intelligence (AI) has emerged to challenge traditional paradigms and revolutionise various sectors including higher education. It is ...
ABSTRACT: Multicollinearity in factor analysis has negative effects, including unreliable factor structure, inconsistent loadings, inflated standard errors, reduced discriminant validity, and ...