In this paper we present a learning algorithm for a particular subclass of non-stationary environments where the learner is required to interact with other agents. The behavior-policy of the agents are determined by a latent variable that changes rarely, but can modify the agent policies drastically when it does change (like traffic conditions in a driving problem). This unpredictable change in...

this paper examines the theoretical rationales and practical aspects of task-based language teaching (tblt) with particular reference to research findings in efl/esl contexts. the definitional scope of the term ‘task’, polarizations in terms of task vs. non-task, and its relation to different language teaching approaches have engendered conceptual and methodological ambiguities.  moreover, fact...

this study investigated the effect of applying the dynamic system theory (dst) and cognitive linguistics (cl) insights into grammar instruction on efl learners’ learning of english prepositions and learner autonomy. sixty iranian efl learners at the lower-intermediate level of language proficiency were randomly assigned to 1 experimental and 1 control group. the 2 groups filled out an autonomy ...

This study attempted to investigate the relationship among learning strategy, autonomy and language proficiency of Chinese university EFL students. To achieve this objective, purposive sampling and cluster sampling methods were used to select 422 non-English major students as participants in three universities, Henan province, China. Oxford’s (1990) Strategy Inventory for Language Learning (SIL...

Gradient boosting constructs additive regression models by sequentially tting a simple parameterized function (base learner) to current \pseudo"{residuals by least{squares at each iteration. The pseudo{residuals are the gradient of the loss functional being minimized, with respect to the model values at each training data point, evaluated at the current step. It is shown that both the approxima...

One of the facts of online learning is when learners engage in such learning, the rest of the Web is merely a click away. While many studies have identified an association between learners’ personal attributes and online learning experiences, few have explored the linkages among learners’ aptitude, experiences of daily social web activities, and perception of online learning. The purpose of thi...

This paper analyzes the problem of learning the structure of a Bayes net (BN) in the theoretical framework of Gold’s learning paradigm. Bayes nets are one of the most prominent formalisms for knowledge representation and probabilistic and causal reasoning. We follow constraint-based approaches to learning Bayes net structure, where learning is based on observed conditional dependencies between ...

If students are demotivated, confused and look tired in class, one solution is to use new teaching styles in your class to overcome such problems. This is because learners learn in different ways such as hearing, seeing, taking notes, imagining and visualizing, among many others. The paper reports firstly, the impact of teaching and learning style preferences and their match or mismatch on lear...

Learning analytics for learners has the ability to greatly improve learners’ self-regulation. Current learner dashboards are mostly providing learners with an isolated view of their learning behavior, while we believe learners will gain more from a comparison of their own behavior with that of successful peer learners. In this work-in-progress demonstration we describe our design of a Learning ...