Scaffolding answer explanation in a data normalization tutor

Scaffolding Answer Explanation in a Data Normalization Tutor

Self-explanation is one of the most effective learning strategies, resulting in deep knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based tutor that teaches data normalization. We present the system first, and then discuss how it supports self-explanation. We hypothesized the self-explanation support in NORMIT would result in increased problem ...

Supporting Self-Explanation in a Data Normalization Tutor

Self-explanation is one of the most effective learning strategies, resulting in deep knowledge. In this paper, we discuss how self-explanation is scaffolded in NORMIT, a data normalization tutor. Data normalization is the process of refining a relational database schema in order to ensure that all relations are of high quality. We present the system first, and then discuss how it supports self-...

cDNA Microarray Data Normalization

An Evaluation of Self-explanation in a Programming Tutor

A controlled study was conducted in-natura to evaluate the effectiveness of presenting passive self-explanation questions in a problemsolving tutor on code-tracing. Data was collected from multiple institutions over three semesters using a tutor on selection statements: fall 2012-fall 2013. ANOVA and ANCOVA were used to analyze the collected data. After accounting for the additional time provid...

A Question/Answer Explanation for Text Expansion

1 Presentation I present in this paper the related work to my PhD thesis. It deals with an explanation approach for the generation of extended versions of text. The explanation is considered in the sense that an expansion is intended to make what is evoked into the text version understood. In order to give an account of this aspect, we resort to the notion of text questionnability deened by Vir...