Title
Generating Instruction Automatically for the Reading Strategy of Self-Questioning
Abstract
Self-questioning is an important reading comprehension strategy, so it would be useful for an intelligent tutor to help students apply it to any given text. Our goal is to help children generate questions that make them think about the text in ways that improve their comprehension and retention. However, teaching and scaffolding self-questioning involve analyzing both the text and the students' responses. This requirement poses a tricky challenge to generating such instruction automatically, especially for children too young to respond by typing. This paper describes how to generate self-questioning instruction for an automated reading tutor. Following expert pedagogy, we decompose strategy instruction into describing, modeling, scaffolding, and prompting the strategy. We present a working example to illustrate how we generate each of these four phases of instruction for a given text. We identify some relevant criteria and use them to evaluate the generated instruction on a corpus of 513 children's stories.
Year
DOI
Venue
2009
10.3233/978-1-60750-028-5-465
AIED
Keywords
Field
DocType
relevant criterion,working example,tricky challenge,generating instruction automatically,scaffolding self-questioning,important reading comprehension strategy,automated reading tutor,expert pedagogy,self-questioning instruction,reading strategy,intelligent tutor,decompose strategy instruction
Reading strategy,TUTOR,Reading comprehension,Computer science,Knowledge management,Mathematics education,Multimedia,Comprehension
Conference
Volume
ISSN
Citations 
200
0922-6389
21
PageRank 
References 
Authors
1.24
4
2
Name
Order
Citations
PageRank
Jack Mostow11133263.51
Wei Chen2323.49