GQM+Strategies is an approach that aligns the business goals at each level of an organization to strategies to achieve overall business goals and assesses the achievement of such goals. Strategies are extracted from business goals based on rationales (contexts and assumptions). Using the proposed approach, which refines the GQM+Strategies model by extracting rationales based on the analysis of ...

The more accurately people assess their comprehension, the more likely they are to engage in study behaviors that precisely target gaps in their learning. However, comprehension regulation involves more than knowing when to implement a new study strategy; it also involves deciding which strategy will most effectively resolve one's confusion. In two experiments, we explored how people's motivati...

This study analyzed gender differences in self-regulated learning components, motivational beliefs and achievement in self-regulated online learning environment. Sample of the study consisted of 145 participants from an online programming course which is based on synchronous and asynchronous communication methods over the Internet. Motivated Strategies for Learning Questionnaire (MSLQ) was used...

While the existing DSS enables self-motivated learners to engage in situated, exploratory and independent learning, the addition of teaching strategies and a student model would allow: 1) Scaffolded and individualized exploitation of the overview for case-based teaching. 2) Learner motivation through selective presentation of challenging cases. 3) Active guidance on the use of integrated web-ba...

The objective of the present study was to examine how motivation is related to academic achievement. The Motivated Strategies for Learning Questionnaire (MSLQ) was administered to 1,166 students at a polytechnic in Singapore as a measure for motivational beliefs and self-regulated learning strategies. In addition, students’ prior knowledge, achievement-related classroom behaviors, and academic ...

This article proposes an approach for coupling internally-guided learning and social interaction in the context of a multi-task robot skill acquisition framework. More specifically, we focus on parametrized distribution movement primitives by combining active intrinsically-motivated imitation learning. We case where modalities to use are not specified advance experimenter, but chosen actively t...