An intelligent tutoring system to improve primary students' writing competence

Main Article Content

Raquel Fidalgo
María Arrimada
Paula López

Abstract

Several empirical reviews and meta-analysis in the field of writing instruction point to strategy instruction and the use of computer programs as instructional support in writing composition tasks, as two effective ways of promoting students’ acquisition of writing competence (see Graham and Perin, 2007). In this study, we present the development of an intelligent tutorial system called CSRIOL ( C o g nitiv e S elf - R e g ula tio n I n s t r u c tio n O n - Lin e ), which combines the aforementioned dimensions: self-regulated strategy instruction to teach planning, editing and revising strategies (see Fidalgo and Torrance, 2018; Fidalgo, Torrance, Rijlaarsdam, van den Bergh, and Álvarez, 2015; Fidalgo, Torrance, and García, 2008; Torrance, Fidalgo, and García, 2007); and the potentialities of framing this instruction into an online environment through a computer application (see review by MacArthur, 2016).  The present study aims to provide a detailed description of CSRI-OL main features and components. We, therefore, critically analyse the difficulties entailed by the adaptation of a complex and multi-component instructional approach such as strategy instruction to a virtual environment, as well as the potentialities of an intelligent tutorial system in the scientific and educational field. Finally, we discuss new research lines on the componential analysis of strategy instruction around two dimensions: what components must be taught and how they must be taught. Note: Project founded by Ministerio de Economía, Industria y Competitividad (EDU2015-67484-P . MINECO/FEDER), awarded to Dra. Fidalgo.

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How to Cite
Fidalgo, R., Arrimada, M., & López, P. (2018). An intelligent tutoring system to improve primary students’ writing competence. International Journal of Developmental and Educational Psychology. Revista INFAD De Psicología., 2(1), 251–260. https://doi.org/10.17060/ijodaep.2018.n1.v2.1220
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