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Chen, Y. & Willits, F. (1998). A path analysis of the concepts in Moore's theory of transactional distance in a videoconferencing learning environment. Journal of Distance Education, 13 (2), 51-65. Chen, Y.J. 2001a. Transactional distance in World Wide Web learning environments. Innovations in Education and Teaching International (UK), 38(4 ...
A time–distance diagram is a chart with two axes: one for time, the other for location. The units on either axis depend on the type of project: time can be expressed in minutes (for overnight construction of railroad modification projects such as the installation of switches) or years (for large construction projects); the location can be (kilo)meters, or other distinct units (such as ...
Spaced retrieval practice – trying to recover long-term memories quickly and accurately – is the subject of a different line of research but also shows that spaced practice (for example, taking a practice test every month) is more effective than massed practice. The significance of Spaced Learning may prove important in different ways:
While the spacing effect refers to improved recall for spaced versus successive (mass) repetition, the term 'lag' can be interpreted as the time interval between repetitions of learning. The lag effect is simply an idea branching off the spacing effect that states recall after long lags between learning is better versus short lags. [ 13 ]
Little research addresses this kind of judgment; however, evidence suggests that JOLs are at least somewhat accurate at predicting learning rates. [15] Therefore, these judgments occur in advance of learning and allow individuals to allot study time to the material that they are required to learn.
Research projects: Students research a topic and can present their findings to the class. Field trips: This allows students to put the concepts and ideas discussed in class in a real-world context. Field trips would often be followed by class discussions. Films: These provide visual context and thus bring another sense into the learning experience.
Monday.com has tons of useful features to help you manage projects. These tips and tricks, with insights from an expert monday.com user, will help you get the most out of using the platform.
Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models separately.