In this study, we examine the effect of background knowledge and local cohesion on learning
from texts. The study is based on construction–integration model. Participants were 176 …

The aim of this paper is to present the design of an adaptive environment supporting
understanding and learning from texts in informatics (ADULT). It is a three-stage system. In the first …

Previous research in the domain of text comprehension in Informatics has demonstrated
that readers with little knowledge in this domain benefit from a coherent text, whereas high-…

… In this line of research the ADULT environment was designed and developed (Gasparinatou
et al, 2008c). Much research has been undertaken on the impact of different styles on …

This paper presents the Adaptive Learning Models from texts and Activities (ALMA)
environment and the interaction of undergraduate students in Computer Science with it, while …

This dissertation contributes to the field of learning in the domain of Computer Science. We
investigated the effects of background-knowledge and textcohesion on learning from texts in …

Previous studies have shown that students with low knowledge understand and learn better
from more cohesive texts, whereas high-knowledge students have been shown to learn …

Previous studies have demonstrated that high-knowledge readers learn more from low-coherence
than high-coherence texts in the domain of Informatics and specifically in the domain …

This study presents the ALMA environment (Adaptive Learning Models from texts and Activities).
ALMA supports the processes of learning and assessment via: (1) texts differing in local …

The present study investigated the effects of background knowledge on learning from
highand low-cohesion texts in the domain of Computer Science. The comprehension of 58 …