Now showing 1 - 3 of 3
ItemAssessing esport candidacy for critical thinking educationPost, G ; Birt, J (University of New England, Armidale, 2020-12-01)Critical thinking in education is mainstream with ever increasing industry support for soft skills and capacity for graduates to solve problems, plan strategy, make decisions and communicate creatively. However, teaching and assessing critical thinking is resource intensive especially when scaling to large remote or online classes. Often, the solutions are bespoke, custom outcomes for a single classroom that are expensive to scale. Commercial computer games and esports may offer a solution. In this paper we aim to define critical thinking in education and how this relates to skills in esports, including decision making, problem solving, making a game plan, developing strategy and communication. To achieve this, we propose a conceptual framework to assess effectiveness of esports in teaching critical thinking using an adapted digital game-based learning framework and the learning goals of critical thinking. We support the framework with an esport case example of Rocket League with a lesson plan.
ItemChallenges for Computational Stem Cell Biology: A Discussion for the FieldRackham, O ; Cahan, P ; Mah, N ; Morris, S ; Ouyang, JF ; Plant, AL ; Tanaka, Y ; Wells, CA (CELL PRESS, 2021-01-12)The first meetup for Computational Stem Cell Biologists was held at the 2020 annual meeting of the International Society for Stem Cell Research. The discussions highlighted opportunities and barriers to computational stem cell research that require coordinated action across the stem cell sector.
ItemSimulating bidirectional peripheral neural interfaces in EIDORSEiber, CD ; Keast, JR ; Osborne, PB (IEEE, 2020-01-01)Bioelectronic neural interfaces that deliver adaptive therapeutic stimulation in an intelligent manner must be able to sense and stimulate activity within the same nerve. Existing minimally-invasive peripheral neural interfaces can provide a read-out of the aggregate level of activity via electrical recordings of nerve activity, but these recordings are limited in terms of their specificity. Computational simulations can provide fine-grained insight into the contributions of different neural populations to the extracellular recording, but integration of the signals from individual nerve fibers requires knowledge of spread of current in the complex (heterogenous, anisotropic) extracellular space. We have developed a model which uses the open-source EIDORS package for extracellular stimulation and recording in the pelvic nerve. The pelvic nerve is the primary source of autonomic innervation to the pelvic organs, and a prime target for electrical stimulation to treat a variety of voiding disorders. We simulated recordings of spontaneous and electrically-evoked activity using biophysical models for myelinated and unmyelinated axons. As expected, stimulus thresholds depended strongly on both fibre type and electrode-fibre distance. In conclusion, EIDORS can be used to accurately simulate extracellular recording in complex, heterogenous neural geometries.