Paper Info
Title
Prediction as a prerequisite of skilled reading: The cases of source-code and music notation
Abstract
Music and source code are non-natural symbolic languages that humans use to interact not only among themselves, but also with devices. Music-reading research has a longer history than that of reading source code, the latter being a much less matured domain. In this paper we highlight the similarities and differences between source-code and music reading, with a goal of informing the source-code reading research and education by the more developed domain. We argue that in both domains, the reader's skill to predict to-be-read material is a prerequisite for expert-like reading, as well as for the benefits of comparing and juxtaposing these two domains in this early stage of research. We discuss the potential components underlying skilled prediction and the roles these components play in the two domains. This will, in future, lay ground for the development of a testable model of prediction in source-code and music reading. Since cognitive strategies during visual tasks are usefully studied with the eye-tracking methodology, we propose to study prediction in both domains by emphasizing experimental research about visual attention. Finally, we discuss theoretical frameworks applied in educational psychology which could be useful in explaining the observed stages of development of prediction skill and this way further support the creating and testing of educational practices in both domains.
Year
DOI
Venue
2019
10.1145/3364510.3364516
Proceedings of the 19th Koli Calling International Conference on Computing Education Research
Keywords
DocType
ISBN
comprehension, expertise, eye tracking, music, programming, reading, source code
Conference
978-1-4503-7715-7
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Natalia Chitalkina101.01
Roman Bednarik256148.77
Marjaana Puurtinen300.34
Hans Gruber400.34