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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 ]
Time geography or time-space geography is an evolving transdisciplinary perspective on spatial and temporal processes and events such as social interaction, ecological interaction, social and environmental change, and biographies of individuals. [1]
Time management is the process of planning and exercising conscious control of time spent on specific activities—especially to increase effectiveness, efficiency and productivity. [ 1 ] Time management involves demands relating to work , social life , family , hobbies , personal interests and commitments.
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 ...
The small group learning is also used for adult learning because it is associated with active involvement, collaboration, and problem-solving. [ 11 ] [ 12 ] Although this practice is not the best way for students to develop and improve on these skills there are some ways to make this effective for both the student and the instructor.
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.