Prediction as a prerequisite of skilled reading

Autor: Hans Gruber, Natalia Chitalkina, Marjaana Puurtinen, Roman Bednarik
Rok vydání: 2019
Předmět:
Zdroj: Koli Calling
DOI: 10.1145/3364510.3364516
Popis: 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.
Databáze: OpenAIRE