In this study, the researchers explored the usage of a virtual reality (VR)–based social skills learning environment for children with autism spectrum disorder (ASD). Using OpenSimulator, the researchers constructed a desktop VR-based learning environment that supports social-oriented role-play, gaming, and design by children with ASD. Seven 10–14 years old children with ASD participated in this VR-based social skills program for 20+ hr on average. Data were collected via screen recording and observation of play- and design-oriented social skills enactment and pre- and postintervention Social Communication and Skills Questionnaires. Participants demonstrated an increased level of successful social skills performance from the baseline to the intervention phase. The findings provided preliminary evidence for the usage of a VR-based social skills learning environment for children with ASD.
Tracking students’ learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners’ cognitive and emotional states during virtual reality (VR)‐based representational‐flexibility training. This VR‐based training program aims to promote the flexibility of adolescents with autism spectrum disorder (ASD) in interpreting, selecting and creating multimodal representations during STEM‐related design problem solving. For the automatic assessment, we used both natural language processing (NLP) and machine‐learning techniques to develop a multi‐label classification model. We then trained the model with the data from a total of audio‐ and video‐recorded 66 training sessions of four adolescents with ASD. To validate the model, we implemented both k‐fold cross‐validations and the manual evaluations by expert reviewers. The study finding suggests the feasibility of implementing the NLP and machine‐learning driven automatic assessment to track and assess the cognitive and emotional states of individuals with ASD during VR‐based flexibility training. The study finding also denotes the importance and viability of providing adaptive supports to maintain learners’ cognitive and affective engagement in a highly interactive digital learning environment.
We report pH-switching properties of the new family of dipeptide-acetylene conjugates where pH-gated light-activated double-strand (ds) DNA cleavage is controlled by variations in electronic and geometric parameters. The conjugates have higher activities at the slightly acidic pH values that separate normal and cancerous tissue (pH < 7). This favorable pH dependence originates from several elements of structural design. Basicities of the two amines determine the threshold pH range where the changes in binding and reactivity are observed, whereas the distance between the two amino groups and the hydrophobic aryl alkyne moiety can further modulate DNA binding. The changes of the protonation state from a neutral molecule to a dication results in dramatically increased efficiency of ds DNA photocleavage, the most therapeutically valuable type of DNA cleavage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.