This article investigates the influence of progress certainty and discrete progress markers (DPMs) on performance and preferences. The authors suggest that the effects of DPMs depend on whether progress certainty is high or low. When the distance to the goal is uncertain, DPMs can help reduce uncertainty and thus improve performance and increase preference. However, when the distance to the goa...

conclusions considering the level of learning motivation among the students in aspects of self-efficacy conception, self-management, and communication abilities, it is recommended to provide programs to develop these characteristics by cooperative learning method based on social constructivism theory. patients and methods this descriptive cross-sectional study was conducted on the rehabilitatio...

Much of the early research in aversive learning concerned motivation and reinforcement in avoidance conditioning and related paradigms. When the field transitioned toward the focus on Pavlovian threat conditioning in isolation, this paved the way for the clear understanding of the psychological principles and neural and molecular mechanisms responsible for this type of learning and memory that ...

Adaptive eLearning systems are able to adjust to a user’s learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for eLearning. This contribution presents original research on using differences in individual learning styles. Factors related to performance, motivation, satisfaction, and previous knowledge were targeted and use...

Community structure analysis is a hot research spot in social networks and complex networks. In order to summarize recent research progress, this paper reviews the background, the motivation, the advantages and disadvantages of existing works related to community structure discovering. A comprehensive outline was obtained by analysis of different clustering algorithms.