The purpose of this study was to explore the effect of applying task-based activities on students’ listening comprehension improvement. It also aimed at providing evidence to show how shifting from a traditional language teaching approach into the TBLT approach can positively affect the process of learning listening skill. To do this, 80 participants were selected from three English language in...

Abstract Task-based language teaching has received increased attention in second language research. However, the combination of structured input-based approach and task-based language teaching has not been examined in relation to L2 grammar learning. To address this gap, the present study investigated how the structured input-based tasks with and without explicit information impacted learners’ ...

the idea that teaching a foreign language has a cultural dimension isn't new.this study is a review of literature on the importance of the synchronized teaching ofculture and language and the exising challenges in this area.thispaper deals with questions like:what is the aim of teaching culture?what are the constituent components of culture?what aspects of culture should be taught and what...

The present study investigated the impact of bilingual education on language achievement of Iranian Pre-intermediate EFL learners. It actually used bilingual education through content- based methodology or subject matter such as math, science and reading. To this purpose, the researchers used 40 Pre-intermediate EFL participants who were studying English conversation at a private language insti...

The present study investigated the impact of bilingual education on language achievement of Iranian Pre-intermediate EFL learners. It actually used bilingual education through content- based methodology or subject matter such as math, science and reading. To this purpose, the researchers used 40 Pre-intermediate EFL participants who were studying English conversation at a private language insti...

Developing effective Multi-Agent Systems (MAS) is critical for many applications requiring collaboration and coordination with humans. Despite the rapid advance of Deep Reinforcement Learning (MADRL) in cooperative MAS, one major challenges that remain simultaneous learning interaction independent agents dynamic environments presence stochastic rewards. State-of-the-art MADRL models struggle to...