This pilot study aimed to investigate the effects of two classroom instructions on complexity, accuracy, and fluency EFL learners’ speaking. The first one involved implicit task-based instruction with meaning-focused pedagogic tasks. second reduced practice time but complemented it explicit strategy-based (SBI) raise their metacognitive awareness in planning, monitoring, evaluating speech. Part...

Among the latest efficient approaches in language teaching, Task-based Language Teaching has turned up to be the main approach in a way that it is currently recognized as the leading teaching approach in language instruction (Ji & Pham, 2017). Using the proper tasks based on the proficiency level of the learners can facilitate the process of language learning. The present study aimed at...

Systematic phonics instruction in first language education has recently received considerable research attention due to its critical role in facilitating phonological awareness and processing skills. However, little is known about the effects of systematic phonics instruction on foreign language reading and spelling in an EFL context. This study examined the effects of spelling-based phonics in...

return maximization or risk minimization is goal in portfolio optimization based on mean variance theory. the structure of correlation matrices and individual variance of each asset are two main factors in optimization with risk minimization object. it’s necessary to use appropriate variance and correlation coefficient for time series with clustering volatilities feature, too. in this research,...

despite the extensive deployment of multi-core architectures in the past few years, the design and optimization of each single processing core is still a fresh field in computing .on the other hand, having a design procedure (used to solve the problems related to the design of a single processing core )makes it possible to apply the proposed solutions to specific-purpose processing cores .the i...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...

Reading skill is a fundamental requirement to lifelong learner success, yet the way teachers assess their student’s reading comprehension ability is challenging. One of the new trends in reading skill instruction is portfolio assessment. This study investigated the effects of portfolio assessment on EFL learner’s reading comprehension ability. The participants, 50 advanced (female) EFL learners...

investors use different approaches to select optimal portfolio. so, optimal investment choices according to return can be interpreted in different models. the traditional approach to allocate portfolio selection called a mean - variance explains. another approach is markov chain. markov chain is a random process without memory. this means that the conditional probability distribution of the nex...