Sentence examples for learners level from inspiring English sources

The purpose of this study was to assess to which extent an AR learning application affects learners' level of enjoyment and learning effectiveness.

Overall, this study provides empirical support for the expertise reversal effect, which suggests that the effectiveness of certain instruction procedures in example-based learning environments depends upon the learners' level of prior knowledge.

To assess the learners' level of awareness of English grammar two tests containing ten English sentences in simple past and present tense with wrong verb forms, constructed by the researcher were administered to the learners and they were asked to identify the errors and write their correct forms.

Results showed that both instructional groups showed significant gains on one set of conventional expressions but not another, suggesting that learning conventional expressions is sensitive to instruction but also constrained by the transparency of the expression and the learners' level of linguistic development.

Does these learners' level of language proficiency affect their preferences of WCF, and if so, how?  .

That means assessing learners' level of knowledge, tracking their progress through the curriculum, suggesting additional courses and reporting the results to employers.

There are education technologies that can adapt instruction according to individual learners' levels of proficiency.

Attitudes towards learning are important factors on the learners' levels of goal setting, problem solving abilities, their beliefs towards learning, their inner and external motivations in the process of learning and all the academic performances they perform.

Blended learning is meant to increase learners' levels of knowledge construction in order to create analytical skills in them.

Therefore, in contrast to previous studies that have observed differences according to learners' levels (e.g., Cheng et al. 2011; Shohamy et al. 1996), washback on test preparation strategies did not vary greatly for high and low proficiency learners.

Although learners' levels of self-efficacy for mobile devices did not have a significant impact on their learning performance, the achievement scores for both the high and low groups increased significantly (p < .001).001