Sonification of numerical data for education

Abstract

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Tangible Stats: An Embodied and Multimodal Platform for Teaching Data and Statistics to Blind and Low Vision Students

“…Due to the lower spatial density of information that can be reasonably understood tactilely compared to visually [53], and considering the time and effort required to produce tactile graphics [56], educators have increasingly turned toward auditory [74] and multimodal [22,40] ways of teaching data. Interactive audio-tactile systems can improve the educational experience by monitoring student performance [47], offering immediate feedback [47], and fostering engagement through a variety of "fun" interactions [15].…”

Teaching and learning in ecology: a horizon scan of emerging challenges and solutions

“…Programs are beginning to use artificial intelligence to predict the likelihood of the next spoken word to enable real time translations for widely spoken languages (<www.technologyreview.com/f/612730/googleassistant-now-comes-with-a-real-time-translator-for-27-languages/>). While real-time spoken language translation is currently aspirational for field teaching, it is noteworthy that various forms of translation technologies are already used to increase accessibility for students in STEM, such as speechto-text and text-to-speech (Lee and Templeton 2008), sonograms (visual displays of sound waves, Huffling et al 2018) and sonification (audible versions of data, Vines et al 2019).…”

Results of Preliminary Studies on the Perception of the Relationships between Objects Presented in a Cartesian Space

“…The use of sonification techniques and related audio graphs has been shown to aid in conveying information across a wide variety of domain areas. For instance, researchers have found that the presentation of general purpose graphs such as scatterplots [2], line graphs [3], shapes [4], and relational graphs (graphs of relationships modeled with nodes and edges) [5] through sonifications can increase user understanding and retention. Sonification techniques have been used in a broad range of fields; for instance, among many other areas it has been used for exploring and better understanding electroencephalograms (EEGs) [6], neural networks [7], and astronomical images [8].…”