Learning through assessment offers students ways of building their understanding by using models, theories, and "cause and effect" explanations that support success- ful knowledge transfer (Mayer et al. 1996). The use of mul- tiple representations, such as definitions, analogies, visual models, ...
Spherical video-based virtual reality (SVVR) offers teachers an accessible means to use virtual reality. However, research into the effects of learning mat
Effectiveness of high- and low-fidelity simulation-based medical education in teaching cardiac auscultation: a systematic review and meta-analysis. Int J Healthcare Simul. 2022;1(3):75–84. Google Scholar Yardley S, Hookey C, Lefroy J. Designing whole-task learning opportunities for integrated ...
Problem-solving interventions require two considerations: the structure and features to support development of problem-solving strategies. Mason et al. (1985) provided a three-phase problem-solving process (i.e.entry,attackandreview) incorporating problem-solving strategies, aligned with Pólya (1945)....
Students can work collaboratively on the same device or they send information back and forth as in an electronic peer review. Very good apps extend the collaboration to the another class in the same school, a different school, a school in a different state, a school in a different country ...
Virtual Reality (VR) is a sub-area of XR and describes an immersive technology designed to decouple the user from audio-visual reality with an accompanying transfer into a synthetic environment simulated by computers [11]. Immersion in the context of virtual reality describes the user's feeling ...
Patel. Deep transfer learning for multiple class novelty detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019. Perera et al. [2019] Pramuditha Perera, Ramesh Nallapati, and Bing Xiang. OCGAN: One-class novelty detection using GANs with constrained ...
the network usingtransfer learningto distinguish new classes. Similarly, Vargas et al. tasked undergraduate students with retraining the MobileNet architecture (Howard et al., 2017) to detect floating marine objects using TensorFlow on aRaspberry Pi(Vargas et al., 2020). The students followed a ...
The consistency of the training samples avoids the risk of negative transfer caused by the difference between the target and the source task [13]. The initial model is distributed to each client through the central server, and the client is trained through the local dataset which is never ...
Conclusion: A major gap identified in the literature underscores the necessity for individuals who have HWNL to improve their communication with older adults who have ARHL. The results of this scoping review will inform the development of new educational programmes targeting communication with older ad...