Task-Based Language Teaching (TBLT), as the top-down policy advocated in English education in China, has been acknowledged as an effective method to improve students' reading skills. Teachers' perceptions about
In this introduction, we present our vision for how the canonical principles of task-based language teaching (TBLT) can be fitted integrally into the new language education and digital technology realities, and we outline a new framework that we call "technology-mediated TBLT" and which the book...
This paradigm shift from the teacher to the learner has been brought about by the following approaches: 1) Communicative Language Learning 2) Co-operative Language Learning 3)Task-Based Language Learning/Teaching 4) Content-Based Instruction 5) Syncopated Approach 6) Computer Assisted Language ...
2019. Language models are unsupervised multitask learners. OpenAI blog, 1(8):9. Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020. Exploring the limits of transfer learning with a unified text-to-text ...
View the task of renewing the internal knowledge as CL. Pretraining on the original corpus can be considered as a previous task, and continued pretraining on new corpus can be considered as the current task. 将更新模型内部知识这个任务看作是持续学习的一种,在原始语料库预训练看作是之前的任务,...
This is because the main task for a machine learning model is to reveal how to combine the given features using the model parameters, for instance, weights of a neural network, to accurately estimate the target. However, if we directly introduce the way how original raw measurements should be...
This study attempted to address students’ helpless attitudes and behaviors in learning the English language in Iranian public schools. The researcher attempted to alleviate learners’ helpless attitudes by providing supportive feedback based on the motivational approach. The treatment indicated positive resu...
developing an effective and appropriate model is a difficult task due to the dynamic nature and variations of real-world applications and data. Hence, this research proposes a novel deep learning model based on a deep neural network (DNN) to handle the outlier detection problem in the context ...
在作者的具体实现中,该protext task使用MovieClips[3]数据集进行训练。 Discussion of Span Compatibility Prediction: 在NLP中,一个常见的任务是预测文本的下一句话,本文提出的Span Compatibility Prediction是其修改版本。与language相比,video在结构上更加灵活,所以作者设置的protext task并不是仅仅预测两个视频片段是否...
Moreover, students’ translingual practices in their digital multimodal compositions demonstrate that they can enact translanguaging to enable the coexistence of different bodies of knowledge while learning an additional language. Based on these findings, I suggest that language teaching should integrate ...