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IBIlI, Emin; Ilhanli, Nevruz; ZayIm, Nese; Yardimci, Ahmet – Educational Gerontology, 2023
This study was aimed at determining the factors that affect the intentions of University of the Third Age (UTA) students toward e-learning systems by using Structural Equation Modeling. For this purpose, factors such as Self-Efficacy, Experience, Social Norms, Enjoyment, and Anxiety, suggested as external factors in the General Extended Technology…
Descriptors: Foreign Countries, Electronic Learning, Intention, Influences
UK Department for Education, 2020
Female students are much less likely than their male counterparts to take A levels in certain STEM (Science, Technology, Engineering and Maths) subjects. This is problematic for gender equality but also limits the country's capacity to address the growing national STEM skills shortage. This research was commissioned to design and test the…
Descriptors: Females, STEM Education, Course Selection (Students), Intervention