Learning theories and their supporting learning technologies fall into two broad categories: those that support individual learning and those that support communal knowledge building. This research in progress describes a hybrid framework that integrates these two categories and proposes the development of a comprehensive learning technology that encompasses both models. The system would suppor...

Our Journal's tendency towards the real world in applied linguistics and literary studies should have significant epistemological and methodological consequences in researching the fields. The interest in the real world makes the problems we may have in our everyday lives our 'points of departure' in research. According to my experience of research in our universities throughout their history, ...

Current psychological theories of human causal learning and judgment focus primarily on long-run predictions: two by estimating parameters of a causal Bayes nets (though for different parameterizations), and a third through structural learning. This paper focuses on people’s short-run behavior by examining dynamical versions of these three theories, and comparing their predictions to a real-wor...

Current psychological theories of human causal learning and judgment focus primarily on long-run predictions: two by estimating parameters of a causal Bayes nets (though for different parameterizations), and a third through structural learning. This paper focuses on people's short-run behavior by examining dynamical versions of these three theories, and comparing their predictions to a real-wor...

memory is not a single entity. it is a gift of mother nature, the ability of living organisms to retain and to utilize acquired knowl- edge. memory is precisely related to learning, in that memory in biolog- ical systems entails learning and that learning implies retention of such information. memory can be divided into multifaceted systems. the renaissance of encephalon compatible learning app...

Our research objectives include constructing a collaborative learning support system that detects appropriate situation for a learner to join in a collaborative learning session, and forms a collaborative learning group appropriate for the situation dynamically. In this paper, we describe the outline of a system of concepts concerning learning goals expected to attain by learners through collab...

Cross-validation is a frequently used, intuitively pleasing technique for estimating the accuracy of theories learned by machine learning algorithms. During testing of a machine learning algorithm (foil) on new databases of prokaryotic RNA transcription promoters which we have developed, cross-validation displayed an interesting phenomenon. One theory is found repeatedly and is responsible for ...

Most of firms design products by using several resources such human resources and tools, to sell these products to customers regardless to design the products for learning objectives. Based upon several endeavors realized in the academic and hands-on activities this paper presents the three basic theories underlined to the notion of design for learning and teaching c knowledge, design, and lear...

According to episodic theories of implicit learning general knowledge of a domain is not directly stored in memory, but a result of the use of episodic representations. Such theories are consistent with effects of processing fluency on classification in implicit learning tasks. The experiments reported in this paper investigated whether masked priming influences classification in artificial gra...

Detecting the causal relations among environmental events is an important facet of learning. Certain variables have been identified which influence both human causal attribution and animal learning: temporal priority, temporal and spatial contiguity, covariation and contingency, and prior experience. Recent research has continued to find distinct commonalities between the influence these variab...