Ontology highlight
ABSTRACT: Background
Hands-on training, whether in bioinformatics or other domains, often requires significant technical resources and knowledge to set up and run. Instructors must have access to powerful compute infrastructure that can support resource-intensive jobs running efficiently. Often this is achieved using a private server where there is no contention for the queue. However, this places a significant prerequisite knowledge or labor barrier for instructors, who must spend time coordinating deployment and management of compute resources. Furthermore, with the increase of virtual and hybrid teaching, where learners are located in separate physical locations, it is difficult to track student progress as efficiently as during in-person courses.Findings
Originally developed by G
SUBMITTER: Rasche H
PROVIDER: S-EPMC10316688 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature