RT Dissertation/Thesis
T1 Gesture Recognition System Application to early childhood education
A1 AlZu’bi, Tareq Mahmod Ahmed
K1 Gesture Interactive Game-Based Learning
K1 Human-Computer Interaction
K1 Early Childhood Education
K1 Basic Mathematical Skills
AB One of the most socially and culturally advantageous uses of human-computer interaction is enhancing playing and learning for children. In this study, gesture interactive game-based learning (GIGL) is tested to see if these kinds of applications are suitable to stimulate working memory (WM) and basic mathematical skills (BMS) in early childhood (5-6 years old) using a hand gesture recognition system. Hand gesture is being performed by the user and to control a computer system by that incoming information. We can conclude that the children who used GIGL technology showed a significant increase in their learning performance in WM and BMS, surpassing those who did normal school activities.
YR 2019
FD 2019
LK http://hdl.handle.net/10347/18185
UL http://hdl.handle.net/10347/18185
LA eng
DS Minerva
RD 22 abr 2026