Secondary school students often lack the necessary motivation to program visually. The present study aims to analyse the effects of error learning orientation on students' intrinsic motivation for visual programming. According to the control-value theory of Pekrun (2006), we posit that the influence of error learning orientation on intrinsic…

Long-term semantic memory (LTM) is known for affecting recall during working memory (WM) tasks. However, the way LTM intervenes in WM remains unknown. Moreover, the available findings are incongruent concerning how attention modulates the impact of LTM on WM. To examine this issue, the involvement of LTM representations in a complex span task was…

The development of error monitoring is central to learning and academic achievement. However, few studies exist on the neural correlates of children's error monitoring, and no studies have examined its susceptibility to educational influences. Pedagogical methods differ on how they teach children to learn from errors. Here, 32 students (aged 8-12…

When judging subject-specific aspects of students' texts, teachers should assess various characteristics, e.g., spelling and content, independently of one another since these characteristics are indicators of different skills. Independent judgments enable teachers to adapt their classroom instruction according to students' skills. It is still…

Purpose: Starting from the identification of some theoretically driven instructional principles, this paper presents a set of empirical cases based on strategies to learn from errors. The purpose of this paper is to provide first evidence about the feasibility and the effectiveness for learning of video-enhanced error-based strategies in…

Determining adults' and children's strategies in mental arithmetic constitutes a central issue in the domain of numerical cognition. However, despite the considerable amount of research on this topic, the conclusions in the literature are not always coherent. Therefore, there is a need to carry on the investigation, and this is the reason why we…

This study investigates syntax in Autism Spectrum Disorders (ASD), its parallelism with Specific Language Impairment (SLI) and its relation to other aspects of cognition. We focus on (1) 3rd person accusative clitic (ACC3) production, a clinical marker of SLI hypothesized to relate to WM, and (2) 1st person accusative clitic (ACC1) production,…

Research has demonstrated that the use of worked-out examples to present errors has great potential for procedural knowledge acquirement. Nevertheless, the identification of errors alone does not directly enhance a deep learning process if it is not adequately scaffolded by written self-explanations. We hypothesised that in learning a professional…

We present a new feedback strategy implemented in a natural language generation-based e-learning system for German as a second language (L2). Although the system recognizes a large proportion of the grammar errors in learner-produced written sentences, its automatically generated feedback only addresses errors against rules that are relevant at…

We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…