Building a Fuzzy Inference System (FIS) generally requires experts’ knowledge. However, experts’ knowledge is not always available. When there is few experts’ knowledge, it becomes hard to build a FIS using one of supervised learning methods. Meanwhile, Q-learning is a kind of reinforcement learning where an agent can acquire knowledge from its experiences even without the model of the environm...

E-learning storyboards have been a useful approach in distance learning development to support interaction between instructional designers and subject-matter experts. Current works show that researchers are focusing on different approaches for use in storyboards, and there is less emphasis on the effect of design and process difficulties faced by instructional designers and subject-matter exper...

the present study aimed to study guidelines for jihad-e-keshavarzi organization of gilan province to become learning organization through strengthening organizational citizenship behavior and attitudes of employees. a questionnaire based survey was applied to 159 employees estimated through stratified random sampling. the face and content validity of questionnaire was confirmed by panel of expe...

the successful adoption of e-learning systems is mainly dependent on the learners’ attitude and willingness to use them. this survey was conducted to investigate agricultural extension workers’ attitudes toward using e-learning for on-the-job training in iran and factors which affect it. using the stratified sampling technique a sample of 379 extension workers were selected from six provinces. ...

the objective of study was designing of structural model of organizational mindfulness: a mixed reseach. this study was an explanatory sequential design and applied research. in qualitative unit, population were the experts of schools of management of public universities of tehran, sample were 14 experts of management and sampling was snowball and semi-structured interviews were implemented. in...

The main advantage of machine learning algorithms that learn simple symbolic models is in their capability to trivially provide justifications for their decisions. However, there is no guarantee that these justifications will be understood by experts and other users. Induced models are often strange to the domain experts as they understand the problem in a different way. We suggest the use of a...

In contrast to traditional learning material, e-learning promises the benefit to support the adaptation of its content according to learners’ needs. Learning strategies are used to assure that those adaptations still make pedagogically sense. However, traditional learning strategies are realized at programming level and thus cannot be easily created or changed by pedagogic experts. This paper p...