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Fatma Outay; Nafaa Jabeur; Fahmi Bellalouna; Tasnim Al Hamzi – Smart Learning Environments, 2024
To measure the effectiveness of learning activities, intensive research works have focused on the process of competency building through the identification of learning stages as well as the setup of related key performance indictors to measure the attainment of specific learning objectives. To organize the learning activities as per the background…
Descriptors: Competence, Learning Activities, Individual Characteristics, Computer Simulation
Ajay Shankar Tiwari; Kaushal Kumar Bhagat; Georgios Lampropoulos – Smart Learning Environments, 2024
Currently, augmented reality (AR) is one of the emerging technologies which is being widely used in the education sector. In engineering drawing, AR has been implemented to enhance learners' spatial ability but not their conceptual knowledge yet. Therefore, this study aims to evaluate the effect of AR on engineering drawing students' learning…
Descriptors: College Freshmen, Engineering Education, Physical Environment, Simulated Environment
Tlili, Ahmed; Huang, Ronghuai; Shehata, Boulus; Liu, Dejian; Zhao, Jialu; Metwally, Ahmed Hosny Saleh; Wang, Huanhuan; Denden, Mouna; Bozkurt, Aras; Lee, Lik-Hang; Beyoglu, Dogus; Altinay, Fahriye; Sharma, Ramesh C.; Altinay, Zehra; Li, Zhisheng; Liu, Jiahao; Ahmad, Faizan; Hu, Ying; Salha, Soheil; Abed, Mourad; Burgos, Daniel – Smart Learning Environments, 2022
The Metaverse has been the centre of attraction for educationists for quite some time. This field got renewed interest with the announcement of social media giant Facebook as it rebranding and positioning it as Meta. While several studies conducted literature reviews to summarize the findings related to the Metaverse in general, no study to the…
Descriptors: Computer Simulation, Technology Uses in Education, Artificial Intelligence, Educational Benefits