We analyse the predictive power of learning strategies for engineering students' performance in mathematics. Learning strategies play an important role in self-regulated learning. Based on a new learning strategy questionnaire that takes into account the specifics of mathematical learning at universities, we investigated what were the strategies…

Effectively regulating negative emotions is important for successful self-regulated learning. However, research has hardly examined which emotion regulation strategies benefit self-regulated learning. In an experimental study, it was examined whether positive reappraisal facilitates self-regulated learning by counterbalancing the depletion of…

We investigate the relationship between Need for Cognition (NFC), attitude towards and self-reported application of different desirable difficulties in self-regulated learning. Students with a higher NFC should be more appreciative and prone to use desirable difficulties because of a match between the learner's attributes and the learning task…

Self-regulated learning (SRL) in the museum was explored by 2 investigations. The first one investigated 233 visitors on their goals and intended learning strategies by questionnaire before they visited the science museum. Results indicated visitors' learning goals can predict their intended deep-learning strategy. Moreover, visitors can be…

Recently, there have been efforts to rethink assessment. Instead of informing about (relatively stable) learner characteristics, assessment should assist instruction by looking at the learning process, facilitating feedback about what students' next step in learning could be. Similarly, new forms of strategy assessment aim at capturing…