When you write a student learning outcome, there are a few important parts to include. First, you need to decide what it is you want your students to be able to do, or be able to produce based on their previous learning experiences. These skills or products are most likely based on the...
aExamples of appropriate situations for learning outcome 2 could include a training course, teambuilding activity or development session in which the learner’s peers are also present. In expressing their likes and dislikes and how they feel about different learning situations. They could ask ...
Collaborative learninghas been well-embraced inSTEM educationfor years. It has been renewed and extended by modern technologies. This article focuses on examples of empirical research to illustrate the different functions played by technologies in facilitating collaborative learning in STEM education. The d...
解释速度慢；（2）他们的解释不具备泛化性：对相似的样本，其解释可能剧烈变化，导致用户无法通过看少量...
An important goal of Instructional Design is to devise materials for, and methods of, instruction that maximise the chance that learning is both straightforward for the learner and effective in its outcome. By “straightforward for the learner”, we mean that as far as possible the complexity of...
This study attempts to explore the relationship between the two mediator variables effective learning engagement and educational social media (SM) usage and the study’s outcome measures, which include student satisfaction and learning performance. The distribution of a self-determination theory questionnair...
Yet when we push beyond our comfort zone, by engaging those who differ, the outcome is often unexpectedly positive. Being too pessimistic about meaningful dialogue across divides, we avoid such—and thus miss out on opportunities to connect and to learn. That’s the conclusion of new research ...
we could not reliably infer the game’s efficacy in terms of the intended learning outcome. As this is the game’s primary aim, we prepared a lab experiment to measure the game’s learning outcome under the following research question:Does gameful design afford learning about correct sorting of...
具体到因果推断的例子上,我们只关心Treatment T 对 outcome Y的影响,因此我们可以首先使用X回归T,得到一个T的残差(实际T - 预测T),然后使用X回归Y,得到一个Y的残差(实际Y - 预测Y),最后使用T的残差回归Y的残差,估计的参数即我们想要的ATE。(Y−(Y∼X))∼(T−(T∼X))Yi−E[Yi|Xi]=τ⋅...
each of them trained on a subset of the training data set; (ii) boosting, in which a set of models are built sequentially, where each subsequent model learns from the errors of the previous one; and (iii) stacking, which trains a supervisor model to aggregate the outcome of a set of ...